Method and apparatus for rs period based filter adaptation

Abstract

A method and apparatus for RS period based filter adaptation are provided. A wireless device receives, from a network, information related to a set of filter coefficients for a measurement quantity, where each filter coefficient is related to a particular RS transmission period. The wireless device obtains information related to a current RS transmission period of a cell. The wireless device selects a filter coefficient related to the current RS transmission period of the cell. The wireless device derives a measurement result for the cell for the measurement quantity based on the selected filter coefficient.

Description

Technical Field

[0001] This disclosure relates to a method and apparatus for filter adaptation based on RS period. Background Technology

[0002] The 3rd Generation Partnership Project (3GPP) Long Term Evolution (LTE) is a technology that enables high-speed packet communication. Many proposals have been put forward for LTE objectives, including those aimed at reducing costs for users and vendors, improving quality of service, and expanding and improving coverage and system capacity. As upper-layer requirements, 3GPP LTE needs to reduce cost per bit, increase service availability, allow flexible use of frequency bands, have a simple architecture, open interfaces, and appropriate power consumption for terminals.

[0003] The International Telecommunication Union (ITU) and 3GPP have begun developing requirements and specifications for New Radio (NR) systems. 3GPP must identify and develop the technical components necessary for the successful standardization of the new RAT (Radio Access Technology) to meet both urgent market demands and the longer-term requirements outlined in the ITU Radiocommunication Sector (ITU-R) International Mobile Telecommunications (IMT)-2020 process. Furthermore, NR should be able to utilize any spectrum band, at least up to 100 GHz, that can be used for wireless communication even in the more distant future.

[0004] The goal of NR is a single technology framework that addresses all use cases, requirements, and deployment scenarios, including enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), ultra-reliable and low-latency communications (URLLC), and more. NR should be inherently backward compatible. Summary of the Invention

[0005] Technical issues

[0006] Before using the measured results to evaluate the criteria for reporting, measurement reports, or trigger condition reconfiguration, the UE applies Layer 3 (L3) filtering.

[0007] The UE performs L3 filtering by adding the most recently received measurement from the physical layer to the older filtered measurement. The most recently received measurement and the older filtered measurement have different weights, which are derived from the filter coefficients.

[0008] As the transmission period of the synchronization signal and PBCH block (SSB) increases, the reliability of the old filtered measurement results decreases. Therefore, it is desirable to reduce the weight of the old filtered measurement results.

[0009] However, considering that the network can dynamically change the SSB transmission period, for example, for the purpose of network energy saving, it is undesirable for the network to reconfigure the filter coefficients whenever the SSB transmission period of the serving cell and the neighboring cell that the UE should measure is changed.

[0010] Therefore, it is necessary to study the adaptive filtering based on RS period.

[0011] Solution to the problem

[0012] In one aspect, a method includes: receiving from a network by a wireless device information relating to a set of filter coefficients for a measurement, wherein each filter coefficient is related to a specific reference signal (RS) transmission period; obtaining by the wireless device information relating to the current RS transmission period of a cell; selecting by the wireless device filter coefficients relating to the current RS transmission period of the cell; and deriving a measurement result of the cell for the measurement based on the selected filter coefficients.

[0013] In another aspect, an apparatus for implementing the above method is provided.

[0014] Beneficial effects of the invention

[0015] This disclosure can have various beneficial effects.

[0016] According to some embodiments of this disclosure, the wireless device can efficiently perform filter adaptation based on the RS period.

[0017] For example, when the network dynamically changes the SSB transmission period, such as for network energy saving purposes, the UE can apply filter coefficients suitable for the current SSB transmission period without requiring network reconfiguration of the filter coefficients.

[0018] Therefore, whenever the SSB transmission period is changed, the network can save the radio resources required to reconfigure the filter coefficients. Furthermore, since the network does not need to send updated filter coefficients to each UE, it can quickly change the SSB transmission period.

[0019] In other words, because the wireless device selects filter coefficients corresponding to the RS transmission period, the network can efficiently implement network power-saving solutions.

[0020] According to some embodiments of this disclosure, wireless communication systems can provide efficient solutions for RS-period-based filter adaptation.

[0021] The beneficial effects that can be obtained through specific embodiments of this disclosure are not limited to those listed above. For example, various technical effects may exist that can be understood and / or derived by those skilled in the art based on this disclosure. Therefore, the specific effects of this disclosure are not limited to those explicitly described herein, but may include various effects that can be understood or derived from the technical features of this disclosure. Attached Figure Description

[0022] Figure 1 An example of a communication system that applies the implementation of this disclosure is shown.

[0023] Figure 2 An example of a wireless device that applies the implementation of this disclosure is shown.

[0024] Figure 3 An example of a wireless device that applies the implementation of this disclosure is shown.

[0025] Figure 4 Another example of a wireless device that applies the implementation of this disclosure is shown.

[0026] Figure 5 An example of a UE that applies the implementation of this disclosure is shown.

[0027] Figure 6 and Figure 7 An example of a protocol stack in a 3GPP-based wireless communication system applying the implementation of this disclosure is shown.

[0028] Figure 8 The frame structure in a 3GPP-based wireless communication system applying the implementation of this disclosure is shown.

[0029] Figure 9 An example of a data flow in a 3GPP NR system applying the implementation of this disclosure is shown.

[0030] Figure 10 An example of the time-frequency structure of SSB is shown.

[0031] Figure 11 An example of a measurement model is shown.

[0032] Figure 12 An example of a measurement report is shown.

[0033] Figure 13 Examples of methods for RS-period-based filter adaptation according to some embodiments of this disclosure are shown.

[0034] Figure 14 An example of an adaptive method for L3 filtering based on RS period is shown.

[0035] Figure 15 An example of an adaptive method for L3 filtering based on RS period is shown. Detailed Implementation

[0036] The following technologies, devices, and systems can be applied to a variety of wireless multiple access systems. Examples of multiple access systems include Code Division Multiple Access (CDMA) systems, Frequency Division Multiple Access (FDMA) systems, Time Division Multiple Access (TDMA) systems, Orthogonal Frequency Division Multiple Access (OFDMA) systems, Single-Carrier Frequency Division Multiple Access (SC-FDMA) systems, and Multi-Carrier Frequency Division Multiple Access (MC-FDMA) systems. CDMA can be implemented using radio technologies such as Universal Terrestrial Radio Access (UTRA) or CDMA2000. TDMA can be implemented using radio technologies such as Global System for Mobile Communications (GSM), Universal Packet Radio Service (GPRS), or Enhanced Data Rate GSM Evolution (EDGE). OFDMA can be implemented using radio technologies such as IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), IEEE 802.20, or Evolved UTRA (E-UTRA). UTRA is part of the Universal Mobile Telecommunications System (UMTS). 3GPP Long Term Evolution (LTE) is part of Evolved UMTS (E-UMTS) using E-UTRA. 3GPP LTE uses OFDMA in DL and SC-FDMA in UL. LTE-Advanced (LTE-A) is an evolution of 3GPP LTE.

[0037] For ease of description, the implementation of this disclosure is primarily described with respect to 3GPP-based wireless communication systems. However, the technical features of this disclosure are not limited thereto. For example, although the following detailed description is based on a mobile communication system corresponding to a 3GPP-based wireless communication system, the aspects of this disclosure that are not limited to 3GPP-based wireless communication systems are applicable to other mobile communication systems.

[0038] For terms and techniques used in this disclosure that are not specifically described in this disclosure, please refer to wireless communication standards documents published prior to this disclosure.

[0039] In this disclosure, "A or B" may mean "A only", "B only", or "both A and B". In other words, in this disclosure, "A or B" can be interpreted as "A and / or B". For example, in this disclosure, "A, B or C" may mean "A only", "B only", "C only", or "any combination of A, B and C".

[0040] In this disclosure, a forward slash ( / ) or a comma (,) can mean "and / or". For example, "A / B" can mean "A and / or B". Therefore, "A / B" can mean "A only", "B only", or "both A and B". For example, "A, B, C" can mean "A, B, or C".

[0041] In this disclosure, "at least one of A and B" can mean "only A", "only B" or "both A and B". Furthermore, the expressions "at least one of A or B" or "at least one of A and / or B" in this disclosure can be interpreted as the same as "at least one of A and B".

[0042] Additionally, in this disclosure, "at least one of A, B, and C" may mean "A only", "B only", "C only" or "any combination of A, B, and C". Furthermore, "at least one of A, B, or C" or "at least one of A, B, and / or C" may mean "at least one of A, B, and C".

[0043] Additionally, the brackets used in this disclosure may mean "for example". Specifically, when shown as "Control Information (PDCCH)", "PDCCH" can be cited as an example of "Control Information". In other words, "Control Information" in this disclosure is not limited to "PDCCH", and "PDCCH" can be cited as an example of "Control Information". Furthermore, even when shown as "Control Information (i.e., PDCCH)", "PDCCH" can be cited as an example of "Control Information".

[0044] The technical features described individually in a single figure in this disclosure can be implemented individually or simultaneously.

[0045] Although not limited thereto, the various descriptions, functions, processes, suggestions, methods and / or operation flowcharts disclosed herein can be applied to various fields requiring wireless communication and / or connectivity between devices (e.g., 5G).

[0046] In the following description, this disclosure will be described in more detail with reference to the accompanying drawings. Unless otherwise stated, the same reference numerals in the following drawings and / or description may refer to the same and / or corresponding hardware blocks, software blocks and / or functional blocks.

[0047] Figure 1 An example of a communication system that applies the implementation of this disclosure is shown.

[0048] exist Figure 1 The 5G use cases shown are merely exemplary, and the technical features of this disclosure can be applied to scenarios not described herein. Figure 1 Other 5G use cases are shown in the diagram.

[0049] The three main demand categories for 5G include: (1) enhanced mobile broadband (eMBB), (2) massive machine-type communications (mMTC), and (3) ultra-reliable and low-latency communications (URLLC).

[0050] Some use cases may require multiple categories for optimization, while others can focus on just one key performance indicator (KPI). 5G supports such a wide variety of use cases using flexible and reliable methods.

[0051] eMBB goes far beyond basic mobile internet access and covers a wealth of two-way work, media, and entertainment applications in the cloud and augmented reality. Data is one of the core driving forces of 5G, and for the first time in the 5G era, dedicated voice services may not be provided. In 5G, voice is expected to be simply processed as an application using the data connection provided by the communication system. The main reason for the increased service capacity is the increase in content size and the increase in the number of applications requiring high data transmission rates. As more and more devices connect to the internet, streaming services (audio and video), conversational video, and mobile internet access will be used more widely. These many applications require always-on connectivity to push real-time information and alerts to users. Cloud storage and applications are rapidly increasing in mobile communication platforms and can be applied to both work and entertainment. Cloud storage is a special use case for accelerating the growth of uplink data transmission rates. 5G is also used for remote work in the cloud. When using haptic interfaces, 5G requires much lower end-to-end latency to maintain a good user experience. Entertainment, such as cloud gaming and video streaming, is another core element increasing the demand for mobile broadband capabilities. Entertainment is essential for smartphones and tablets anywhere, including in highly mobile environments such as trains, vehicles, and airplanes. Other use cases include augmented reality for entertainment and information retrieval. In this case, augmented reality requires very low latency and instantaneous data capacity.

[0052] Additionally, one of the most anticipated 5G use cases involves the ability to seamlessly connect embedded sensors across all sectors, namely mMTC. The number of potential Internet of Things (IoT) devices is expected to reach 204 billion by 2020. Industrial IoT is one of the key categories performing key roles in enabling smart cities, asset tracking, smart utilities, agriculture, and security infrastructure through 5G.

[0053] URLLC encompasses new services that will transform industry, such as autonomous vehicles, through remote control of the main infrastructure and ultra-reliable / available low-latency links. Levels of reliability and latency are essential for controlling smart grids, automating industry, enabling robotics, and controlling and adapting drones.

[0054] 5G is the means to deliver streams assessed at hundreds of megabits per second to gigabits per second and can complement fiber-to-the-home (FTTH) and wired broadband (or DOCSIS). Such speeds are needed to deliver TVs at 4K or higher resolutions (6K, 8K, and more), as well as virtual reality and augmented reality. Virtual reality (VR) and augmented reality (AR) applications include almost immersive motion games. Specific applications may require special network configurations. For example, for VR games, game companies need to integrate their core servers into the network operator's edge network servers to minimize latency.

[0055] The automotive industry, along with numerous use cases for mobile communications in vehicles, is expected to be a significant new driving force in 5G. For example, passenger entertainment requires high concurrent capacity and highly mobile broadband. This is because future users continue to expect high-quality connectivity regardless of their location and speed. Another use case in the automotive sector is AR dashboards. AR dashboards allow drivers to identify objects in the dark in addition to those seen through the front window, displaying distances and movement of objects by overlaying information spoken to the driver. In the future, wireless modules will enable communication between vehicles, information exchange between vehicles and supporting infrastructure, and information exchange between vehicles and other connected devices, such as pedestrian-accompanied devices. Safety systems will guide alternative routes, allowing drivers to drive more safely and thus reducing the risk of accidents. The next stage will be remotely controlled or self-driving vehicles. This requires very high reliability and very fast communication between different self-driving vehicles and between vehicles and infrastructure. In the future, self-driving vehicles will perform all driving activities, and drivers will only focus on abnormal traffic that the vehicle cannot recognize. The technological requirements for self-driving vehicles necessitate ultra-low latency and ultra-high reliability, increasing traffic safety to levels that cannot be achieved by humans.

[0056] Smart cities and smart homes / buildings, touted as part of a smart society, will be embedded in high-density wireless sensor networks. These distributed networks of smart sensors will identify conditions for cost- and energy-efficient maintenance in cities or homes. Similar configurations can be implemented for specific homes. All temperature sensors, window and heating controllers, burglar alarms, and home appliances will be wirelessly connected. Many of these sensors are typically low in terms of data transmission rates, power consumption, and cost. However, certain types of devices may require real-time HD video for monitoring.

[0057] The consumption and distribution of energy, including heat and gases, at a higher level necessitates automated control of distribution sensor networks. Smart grids collect information and use digital information and communication technologies to connect sensors to each other, thereby enabling actions based on the collected information. Because this information can include the behavior of supply companies and consumers, smart grids can improve the distribution of fuels such as electricity through methods that are efficient, reliable, economically feasible, production sustainable, and automated. Smart grids can also be considered as another type of sensor network with low latency.

[0058] Mission-critical applications, such as e-health, are one of the use cases for 5G. The health component includes many applications that can benefit from mobile communications. Communication systems can support telemedicine, enabling the delivery of clinical care in remote locations. Telemedicine can help reduce barriers of distance and improve access to healthcare services that are not readily available in remote rural areas. Telemedicine is also used to administer vital treatments and save lives in emergency situations. Mobile communication-based wireless sensor networks can provide remote monitoring and sensing of parameters such as heart rate and blood pressure.

[0059] Wireless and mobile communications are becoming increasingly important in industrial applications. Cabling is costly in terms of installation and maintenance. Therefore, the possibility of replacing cables with reconfigurable radio links presents an attractive opportunity in many industrial sectors. However, to achieve this replacement, wireless connections need to have similar latency, reliability, and capacity to cables, and simplified management of wireless connections is required. When connecting to 5G, low latency and a very low error probability become new requirements.

[0060] Logistics and freight tracking are important use cases for mobile communications, allowing inventory and packages to be tracked anywhere using location-based information systems. Logistics and freight tracking use cases typically require low data rates but demand location information with wide coverage and reliability.

[0061] Reference Figure 1 The communication system 1 includes wireless devices 100a to 100f, a base station (BS) 200, and a network 300. Although Figure 1 An example of a 5G network as a network of communication system 1 is illustrated, but the implementation of this disclosure is not limited to 5G systems and can be applied to future communication systems other than 5G systems.

[0062] BS 200 and network 300 can be implemented as wireless devices, and a particular wireless device can operate as a BS / network node relative to other wireless devices.

[0063] Wireless devices 100a to 100f represent devices that use radio access technology (RAT) (e.g., 5G New RAT (NR) or LTE) to perform communication, and may be referred to as communication / wireless / 5G devices. Wireless devices 100a to 100f may include, but are not limited to, robots 100a, vehicles 100b-1 and 100b-2, extended reality (XR) devices 100c, handheld devices 100d, home appliances 100e, IoT devices 100f, and artificial intelligence (AI) devices / servers 400. For example, vehicles may include vehicles with wireless communication capabilities, autonomous vehicles, and vehicles capable of performing communication between vehicles. Vehicles may include unmanned aerial vehicles (UAVs) (e.g., drones). XR devices may include AR / VR / mixed reality (MR) devices and may be implemented in the form of head-mounted displays (HMDs), head-up displays (HUDs) installed in vehicles, televisions, smartphones, computers, wearable devices, home appliance devices, digital signage, vehicles, robots, etc. Handheld devices may include smartphones, smart tablets, wearable devices (e.g., smartwatches or smart glasses), and computers (e.g., laptops). Home appliances may include TVs, refrigerators, and washing machines. IoT devices may include sensors and smart meters.

[0064] In this disclosure, wireless devices 100a to 100f may be referred to as user equipment (UE). For example, a UE may include a cellular phone, smartphone, laptop computer, digital broadcasting terminal, personal digital assistant (PDA), portable multimedia player (PMP), navigation system, tablet PC, ultrabook, vehicle, vehicle with autonomous driving capability, connected car, UAV, AI module, robot, AR device, VR device, MR device, hologram device, public safety device, MTC device, IoT device, medical device, Fintech device (or financial device), security device, weather / environment device, device related to 5G services, or device related to the Fourth Industrial Revolution.

[0065] UAVs can be, for example, aircraft that are driven by wireless control signals without any human passengers.

[0066] VR devices may include, for example, means for realizing objects or backgrounds in a virtual world. AR devices may include, for example, means for connecting objects or backgrounds in a virtual world to objects or backgrounds in the real world. MR devices may include, for example, means for incorporating objects or backgrounds in a virtual world into objects or backgrounds in the real world. Holographic devices may include, for example, means for realizing 360-degree stereoscopic images by recording and reproducing stereoscopic information, which utilizes the interference phenomenon of light generated when two lasers, known as holographic imaging, meet.

[0067] Public safety devices may include, for example, image relay devices or image devices that can be worn on a user's body.

[0068] MTC devices and IoT devices can be, for example, devices that do not require direct human intervention or manipulation. For example, MTC devices and IoT devices can include smart meters, vending machines, thermometers, smart light bulbs, door locks, or various sensors.

[0069] Medical devices can be, for example, devices used for the purpose of diagnosing, treating, alleviating, curing, or preventing disease. For example, a medical device can be a device used for the purpose of diagnosing, treating, alleviating, or correcting an injury or lesion. For example, a medical device can be a device used for the purpose of examining, replacing, or modifying a structure or function. For example, a medical device can be a device used for regulating pregnancy. For example, medical devices can include devices for treatment, devices for operation, devices for (in vitro) diagnosis, hearing aids, or devices for surgery.

[0070] Safety devices can be, for example, devices installed to prevent potential hazards and maintain safety. For instance, safety devices can be cameras, closed-circuit television (CCTV), recorders, or black boxes.

[0071] FinTech devices can be, for example, devices capable of providing financial services such as mobile payments. For instance, FinTech devices can include payment devices or point-of-sale (POS) systems.

[0072] Weather / environment devices may include, for example, devices for monitoring or predicting weather / environment.

[0073] Wireless devices 100a to 100f can connect to network 300 via BS 200. AI technology can be applied to wireless devices 100a to 100f, and wireless devices 100a to 100f can connect to AI server 400 via network 300. Network 300 can be configured using 3G networks, 4G (e.g., LTE) networks, 5G (e.g., NR) networks, and super 5G networks. Although wireless devices 100a to 100f can communicate with each other via BS 200 / network 300, wireless devices 100a to 100f can also perform direct communication with each other without going through BS 200 / network 300 (e.g., sidelink communication). For example, vehicles 100b-1 and 100b-2 can perform direct communication (e.g., vehicle-to-vehicle (V2V) / vehicle-to-everything (V2X) communication). IoT devices (e.g., sensors) can perform direct communication with other IoT devices (e.g., sensors) or other wireless devices 100a to 100f.

[0074] Wireless communication / connections 150a, 150b, and 150c can be established between wireless devices 100a to 100f and / or between wireless devices 100a to 100f and BS 200 and / or between BS 200. In this document, wireless communication / connections can be established via various RATs (e.g., 5G NR) such as uplink / downlink communication 150a, sidelink communication (or device-to-device (D2D) communication) 150b, and inter-base station communication 150c (e.g., relay, integrated access and backhaul (IAB)). Wireless devices 100a to 100f and BS 200 / wireless devices 100a to 100f can transmit / receive radio signals to each other via wireless communication / connections 150a, 150b, and 150c. For example, wireless communication / connections 150a, 150b, and 150c can transmit / receive signals via various physical channels. Therefore, at least a portion of various configuration information configuration processes, various signal processing processes (e.g., channel coding / decoding, modulation / demodulation, and resource mapping / demapping), and resource allocation processes for transmitting / receiving radio signals can be performed based on various proposals of this disclosure.

[0075] Here, the radio communication technologies implemented in the wireless devices of this disclosure may include narrowband Internet of Things (NB-IoT) technologies for low-power communication, as well as LTE, NR, and 6G. For example, NB-IoT technology may be an example of low-power wide-area network (LPWAN) technology, implemented in specifications such as LTE Cat NB1 and / or LTE Cat NB2, and may not be limited to the aforementioned names. Additionally and / or alternatively, the radio communication technologies implemented in the wireless devices of this disclosure may communicate based on LTE-M technology. For example, LTE-M technology may be an example of LPWAN technology and may be referred to by various names such as enhanced machine-type communication (mMTC). For example, LTE-M technology may be implemented in at least one of various specifications such as 1) LTE Cat 0, 2) LTE Cat M1, 3) LTE Cat M2, 4) LTE non-bandwidth limited (non-BL), 5) LTE-MTC, 6) LTE machine-type communication, and / or 7) LTE M, and may not be limited to the aforementioned names. Additionally and / or alternatively, the radio communication technology implemented in the wireless devices of this disclosure may include at least one of ZigBee, Bluetooth, and / or LPWAN, which are considered low-power communication technologies, and may not be limited to the names mentioned above. For example, ZigBee technology may be based on various specifications such as IEEE 802.15.4 to generate personal area networks (PANs) associated with small / low-power digital communication, and may be referred to by various names.

[0076] Figure 2An example of a wireless device that applies the implementation of this disclosure is shown.

[0077] Reference Figure 2 The first wireless device 100 and the second wireless device 200 can transmit / receive radio signals to / from external devices via various RATs (e.g., LTE and NR). Figure 2 In this context, {the first wireless device 100 and the second wireless device 200} can correspond to the attached... Figure 1 At least one of {wireless devices 100a to 100f and BS 200}, {wireless devices 100a to 100f and wireless devices 100a to 100f} and / or {BS 200 and BS 200}.

[0078] The first wireless device 100 may include one or more processors 102 and one or more memories 104, and additionally include one or more transceivers 106 and / or one or more antennas 108. The processors 102 may control the memories 104 and / or the transceivers 106, and may be configured to implement the descriptions, functions, processes, suggestions, methods, and / or operation flowcharts described in this disclosure. For example, the processors 102 may process information in the memories 104 to generate a first information / signal, and then transmit a radio signal including the first information / signal via the transceivers 106. The processors 102 may receive a radio signal including a second information / signal via the transceivers 106, and then store the information obtained by processing the second information / signal in the memories 104. The memories 104 may be connected to the processors 102 and may store various information related to the operation of the processors 102. For example, the memories 104 may store commands for performing part or all of the processes controlled by the processors 102, or software code for performing the descriptions, functions, processes, suggestions, methods, and / or operation flowcharts described in this disclosure. In this document, processor 102 and memory 104 may be part of a communication modem / circuit / chip designed to implement RAT (e.g., LTE or NR). Transceiver 106 may be connected to processor 102 and transmit and / or receive radio signals via one or more antennas 108. Each of transceivers 106 may include a transmitter and / or a receiver. Transceivers 106 may be used interchangeably with radio frequency (RF) units. In this disclosure, first wireless device 100 may represent a communication modem / circuit / chip.

[0079] The second wireless device 200 may include one or more processors 202 and one or more memories 204, and additionally include one or more transceivers 206 and / or one or more antennas 208. The processors 202 may control the memories 204 and / or the transceivers 206, and may be configured to implement the descriptions, functions, processes, suggestions, methods, and / or operation flowcharts described in this disclosure. For example, the processors 202 may process information in the memories 204 to generate a third message / signal, and then transmit a radio signal including the third message / signal via the transceivers 206. The processors 202 may receive a radio signal including a fourth message / signal via the transceivers 206, and then store the information obtained by processing the fourth message / signal in the memories 204. The memories 204 may be connected to the processors 202 and may store various information related to the operation of the processors 202. For example, the memories 204 may store software code including commands for performing part or all of the processes controlled by the processors 202 or for performing the descriptions, functions, processes, suggestions, methods, and / or operation flowcharts described in this disclosure. In this document, processor 202 and memory 204 may be part of a communication modem / circuit / chip designed to implement RAT (e.g., LTE or NR). Transceiver 206 may be connected to processor 202 and transmit and / or receive radio signals via one or more antennas 208. Each of transceivers 206 may include a transmitter and / or a receiver. Transceivers 206 may be used interchangeably with RF units. In this disclosure, second wireless device 200 may represent a communication modem / circuit / chip.

[0080] The hardware elements of wireless devices 100 and 200 will be described in more detail below. One or more protocol layers can be implemented by, but are not limited to, one or more processors 102 and 202. For example, one or more processors 102 and 202 can implement one or more layers (e.g., functional layers such as the Physical (PHY) layer, Media Access Control (MAC) layer, Radio Link Control (RLC) layer, Packet Data Convergence Protocol (PDCP) layer, Radio Resource Control (RRC) layer, and Service Data Adaptive Protocol (SDAP) layer). Based on the descriptions, functions, processes, suggestions, methods, and / or operation flowcharts disclosed in this disclosure, one or more processors 102 and 202 can generate one or more Protocol Data Units (PDUs) and / or one or more Service Data Units (SDUs). One or more processors 102 and 202 can generate messages, control information, data, or information according to the descriptions, functions, processes, suggestions, methods, and / or operation flowcharts disclosed in this disclosure. One or more processors 102 and 202 may generate signals (e.g., baseband signals) including PDUs, SDUs, messages, control information, data, or information, in accordance with the descriptions, functions, processes, suggestions, methods, and / or operation flowcharts disclosed in this disclosure, and provide the generated signals to one or more transceivers 106 and 206. One or more processors 102 and 202 may receive signals (e.g., baseband signals) from one or more transceivers 106 and 206, and acquire PDUs, SDUs, messages, control information, data, or information in accordance with the descriptions, functions, processes, suggestions, methods, and / or operation flowcharts disclosed in this disclosure.

[0081] One or more processors 102 and 202 may be referred to as controllers, microcontrollers, microprocessors, or microcomputers. One or more processors 102 and 202 may be implemented by hardware, firmware, software, or a combination thereof. As an example, one or more application-specific integrated circuits (ASICs), one or more digital signal processors (DSPs), one or more digital signal processing devices (DSPDs), one or more programmable logic devices (PLDs), or one or more field-programmable gate arrays (FPGAs) may be included in one or more processors 102 and 202. The descriptions, functions, processes, suggestions, methods, and / or operation flowcharts disclosed in this disclosure may be implemented using firmware or software, and the firmware or software may be configured to include modules, processes, or functions. Firmware or software configured to perform the descriptions, functions, processes, suggestions, methods, and / or operation flowcharts disclosed in this disclosure may be included in one or more processors 102 and 202, or stored in one or more memories 104 and 204, thereby being driven by one or more processors 102 and 202. The descriptions, functions, processes, suggestions, methods and / or operation flowcharts disclosed in this disclosure may be implemented in the form of firmware or software in the form of code, commands and / or sets of commands.

[0082] One or more memories 104 and 204 may be connected to one or more processors 102 and 202 and store various types of data, signals, messages, information, programs, code, instructions, and / or commands. One or more memories 104 and 204 may be configured using read-only memory (ROM), random access memory (RAM), electrically erasable programmable read-only memory (EPROM), flash memory, hard disk drive, registers, cache memory, computer-readable storage media, and / or combinations thereof. One or more memories 104 and 204 may be located internally and / or externally to one or more processors 102 and 202. One or more memories 104 and 204 may be connected to one or more processors 102 and 202 via various technologies such as wired or wireless connections.

[0083] One or more transceivers 106 and 206 may transmit user data, control information, and / or radio signals / channels mentioned in the descriptions, functions, processes, suggestions, methods, and / or operation flowcharts disclosed herein to one or more other devices. One or more transceivers 106 and 206 may receive user data, control information, and / or radio signals / channels mentioned in the descriptions, functions, processes, suggestions, methods, and / or operation flowcharts disclosed herein from one or more other devices. For example, one or more transceivers 106 and 206 may be connected to one or more processors 102 and 202 and transmit and receive radio signals. For example, one or more processors 102 and 202 may perform control such that one or more transceivers 106 and 206 may transmit user data, control information, or radio signals to one or more other devices. One or more processors 102 and 202 may perform control such that one or more transceivers 106 and 206 may receive user data, control information, or radio signals from one or more other devices.

[0084] One or more transceivers 106 and 206 may be connected to one or more antennas 108 and 208, and one or more transceivers 106 and 206 may be configured to transmit and receive user data, control information, and / or radio signals / channels mentioned in the descriptions, functions, processes, suggestions, methods, and / or operation flowcharts disclosed herein via one or more antennas 108 and 208. In this disclosure, one or more antennas may be multiple physical antennas or multiple logical antennas (e.g., antenna ports).

[0085] One or more transceivers 106 and 206 can convert received radio signals / channels, etc., from RF band signals to baseband signals for processing received user data, control information, radio signals / channels, etc. One or more transceivers 106 and 206 can also convert user data, control information, radio signals / channels, etc., processed by one or more processors 102 and 202 from baseband signals to RF band signals. For this purpose, one or more transceivers 106 and 206 may include (analog) oscillators and / or filters. For example, transceivers 106 and 206, under the control of processors 102 and 202, can up-convert OFDM baseband signals to a carrier frequency using their (analog) oscillators and / or filters, and transmit the up-converted OFDM signal at the carrier frequency. Transceivers 106 and 206 can receive OFDM signals at the carrier frequency and, under the control of processors 102 and 202, down-convert OFDM signals to OFDM baseband signals using their (analog) oscillators and / or filters.

[0086] In the implementation of this disclosure, the UE can operate as a transmitting device in the uplink (UL) and as a receiving device in the downlink (DL). In the implementation of this disclosure, the BS can operate as a receiving device in the UL and as a transmitting device in the DL. For ease of description, it is primarily assumed below that the first wireless device 100 acts as the UE and the second wireless device 200 acts as the BS. For example, a processor 102 connected to, installed on, or started in the first wireless device 100 can be configured to perform UE actions according to the implementation of this disclosure, or to control the transceiver 106 to perform UE actions according to the implementation of this disclosure. A processor 202 connected to, installed on, or started in the second wireless device 200 can be configured to perform BS actions according to the implementation of this disclosure, or to control the transceiver 206 to perform BS actions according to the implementation of this disclosure.

[0087] In this disclosure, BS is also referred to as Node B (NB), eNodeB (eNB), or gNB.

[0088] Figure 3 An example of a wireless device that applies the implementation of this disclosure is shown.

[0089] Wireless devices can be implemented in various forms depending on the use case / service (see reference). Figure 1 ).

[0090] Reference Figure 3 Wireless devices 100 and 200 can correspond to Figure 2 The wireless devices 100 and 200 can be configured from various elements, components, units / parts, and / or modules. For example, each of the wireless devices 100 and 200 may include a communication unit 110, a control unit 120, a memory unit 130, and an additional component 140. The communication unit 110 may include a communication circuit 112 and a transceiver 114. For example, the communication circuit 112 may include... Figure 2 One or more processors 102 and 202 and / or Figure 2 One or more memories 104 and 204. For example, transceiver 114 may include... Figure 2 One or more transceivers 106 and 206 and / or Figure 2One or more antennas 108 and 208. Control unit 120 is electrically connected to communication unit 110, memory unit 130, and add-on components 140, and controls the overall operation of each of wireless devices 100 and 200. For example, control unit 120 can control the electrical / mechanical operation of each of wireless devices 100 and 200 based on programs / code / commands / information stored in memory unit 130. Control unit 120 can transmit information stored in memory unit 130 to an external source (e.g., other communication device) via communication unit 110 through a wireless / wired interface, or store information received from an external source (e.g., other communication device) via wireless / wired interface in memory unit 130 via communication unit 110.

[0091] The add-on component 140 can be configured differently depending on the type of wireless devices 100 and 200. For example, the add-on component 140 may include at least one of a power supply unit / battery, an input / output (I / O) unit (e.g., an audio I / O port, a video I / O port), a drive unit, and a computing unit. Wireless devices 100 and 200 can be, but are not limited to, robots ( Figure 1 100a), vehicles ( Figure 1 100b-1 and 100b-2), XR device ( Figure 1 100c), handheld device ( Figure 1 100d), home appliances ( Figure 1 100e), IoT devices ( Figure 1 100f), digital broadcasting terminals, holographic devices, public safety devices, MTC devices, medical devices, Fintech devices (or financial devices), security devices, climate / environment devices, AI servers / devices ( Figure 1 400), BSS ( Figure 1 This can be achieved in the form of wireless devices 100 and 200, network nodes, etc. Wireless devices 100 and 200 can be used in mobile or fixed locations depending on the usage example / service.

[0092] exist Figure 3In wireless devices 100 and 200, the various elements, components, units / parts, and / or modules as a whole can be connected to each other via a wired interface, or at least a portion thereof can be wirelessly connected via communication unit 110. For example, in each of wireless devices 100 and 200, control unit 120 and communication unit 110 can be wired connected, and control unit 120 and first units (e.g., 130 and 140) can be wirelessly connected via communication unit 110. Each element, component, unit / part, and / or module within wireless devices 100 and 200 may also include one or more elements. For example, control unit 120 may be configured by a group of one or more processors. As an example, control unit 120 may be configured by a group of communication control processors, application processors (APs), electronic control units (ECUs), graphics processing units, and memory control processors. As another example, memory unit 130 may be configured with RAM, DRAM, ROM, flash memory, volatile memory, non-volatile memory, and / or combinations thereof.

[0093] Figure 4 Another example of a wireless device that applies the implementation of this disclosure is shown.

[0094] Reference Figure 4 Wireless devices 100 and 200 can correspond to Figure 2 The wireless devices 100 and 200 can be configured from various elements, components, units / parts and / or modules.

[0095] The first wireless device 100 may include at least one transceiver, such as transceiver 106, and at least one processing chip, such as processing chip 101. Processing chip 101 may include at least one processor, such as processor 102, and at least one memory, such as memory 104. Memory 104 may be operatively connected to processor 102. Memory 104 may store various types of information and / or instructions. Memory 104 may store software code 105, which implements instructions that, when executed by processor 102, execute the descriptions, functions, processes, suggestions, methods, and / or operation flowcharts disclosed in this disclosure. For example, software code 105 may implement instructions that, when executed by processor 102, execute the descriptions, functions, processes, suggestions, methods, and / or operation flowcharts disclosed in this disclosure. For example, software code 105 may control processor 102 to execute one or more protocols. For example, software code 105 may control processor 102 to execute one or more layers of a radio interface protocol.

[0096] The second wireless device 200 may include at least one transceiver, such as transceiver 206, and at least one processing chip, such as processing chip 201. Processing chip 201 may include at least one processor, such as processor 202, and at least one memory, such as memory 204. Memory 204 may be operatively connected to processor 202. Memory 204 may store various types of information and / or instructions. Memory 204 may store software code 205, which implements instructions that, when executed by processor 202, execute the descriptions, functions, processes, suggestions, methods, and / or operation flowcharts disclosed in this disclosure. For example, software code 205 may implement instructions that, when executed by processor 202, execute the descriptions, functions, processes, suggestions, methods, and / or operation flowcharts disclosed in this disclosure. For example, software code 205 may control processor 202 to execute one or more protocols. For example, software code 205 may control processor 202 to execute one or more layers of a wireless interface protocol.

[0097] Figure 5 An example of a UE that applies the implementation of this disclosure is shown.

[0098] Reference Figure 5 UE 100 can correspond to Figure 2 The first wireless device 100 and / or Figure 4 The first wireless device 100.

[0099] The UE 100 includes a processor 102, a memory 104, a transceiver 106, one or more antennas 108, a power management module 110, a battery 1112, a display 114, a keyboard 116, a subscriber identification module (SIM) card 118, a speaker 120, and a microphone 122.

[0100] Processor 102 may be configured to implement the descriptions, functions, processes, suggestions, methods, and / or operation flowcharts disclosed in this disclosure. Processor 102 may be configured to control one or more other components of UE 100 to implement the descriptions, functions, processes, suggestions, methods, and / or operation flowcharts disclosed in this disclosure. A layer of the radio interface protocol may be implemented in processor 102. Processor 102 may include an ASIC, other chipsets, logic circuitry, and / or data processing means. Processor 102 may be an application processor. Processor 102 may include at least one of a digital signal processor (DSP), a central processing unit (CPU), a graphics processing unit (GPU), and a modem (modulator and demodulator). Examples of processor 102 can be found in Qualcomm... ® Manufacturing SNAPDRAGON TM Series processors, Samsung ®EXYNOS manufactured TM Series processors, Apple ® A-series processors manufactured by MediaTek ® HELIO manufactured TM Series processors, Intel ® Manufactured ATOM TM This series of processors or the corresponding next-generation processors.

[0101] Memory 104 is operatively coupled to processor 102 and stores various information to operate processor 102. Memory 104 may include ROM, RAM, flash memory, memory card, storage medium, and / or other storage devices. When the implementation is software-based, the techniques described herein can be implemented using modules (e.g., processes, functions, etc.) that perform the descriptions, functions, processes, suggestions, methods, and / or operation flowcharts disclosed herein. Modules may be stored in memory 104 and executed by processor 102. Memory 104 may be implemented within or outside processor 102, in which case memory 104 may be communicatively coupled to processor 102 via various means known in the art.

[0102] Transceiver 106 is operatively coupled to processor 102 and transmits and / or receives radio signals. Transceiver 106 includes a transmitter and a receiver. Transceiver 106 may include baseband circuitry for processing radio frequency signals. Transceiver 106 controls one or more antennas 108 to transmit and / or receive radio signals.

[0103] The power management module 110 manages the power of the processor 102 and / or transceiver 106. The battery 112 supplies power to the power management module 110.

[0104] Display 114 outputs the results processed by processor 102. Keyboard 116 receives input to be used by processor 102. Keyboard 16 can be displayed on display 114.

[0105] The SIM 118 is an integrated circuit designed to securely store the International Mobile Subscriber Identity (IMSI) number and its associated keys, used for identifying and authenticating subscribers on mobile devices such as mobile phones and computers. Contact information can also be stored on many SIM cards.

[0106] Speaker 120 outputs sound-related results processed by processor 102. Microphone 122 receives sound-related inputs to be used by processor 102.

[0107] Figure 6 and Figure 7An example of a protocol stack in a 3GPP-based wireless communication system applying the implementation of this disclosure is shown.

[0108] Specifically, Figure 6 An example of the user plane protocol stack for the radio interface between the UE and the BS is illustrated, and Figure 7 An example of a radio interface control plane protocol stack between a UE and a BS is illustrated. The control plane refers to the path through which control messages used to manage calls made by the UE and the network are transmitted. The user plane refers to the path through which data generated in the application layer (e.g., voice data or Internet packet data) is transmitted. See reference... Figure 6 The user plane protocol stack can be divided into Layer 1 (i.e., the PHY layer) and Layer 2. (See reference...) Figure 7 The control plane protocol stack can be divided into Layer 1 (i.e., the PHY layer), Layer 2, Layer 3 (e.g., the RRC layer), and the Non-Access Layer (NAS). Layers 1, 2, and 3 are referred to as the Access Layer (AS).

[0109] In 3GPP LTE systems, Layer 2 is separated into the following sublayers: MAC, RLC, and PDCP. In 3GPP NR systems, Layer 2 is separated into the following sublayers: MAC, RLC, PDCP, and SDAP. The PHY layer provides transport channels to the MAC sublayer, the MAC sublayer provides logical channels to the RLC sublayer, the RLC sublayer provides RLC channels to the PDCP sublayer, and the PDCP sublayer provides radio bearers to the SDAP sublayer. The SDAP sublayer provides Quality of Service (QoS) streams to the 5G core network.

[0110] In the 3GPP NR system, the main services and functions of the MAC sublayer include: mapping between logical channels and transport channels; multiplexing / demultiplexing MAC SDUs belonging to one or different logical channels to / from the transport channel to the physical layer / from the physical layer to transport blocks (TBs); scheduling information reporting; error correction via Hybrid Automatic Repeat Request (HARQ) (one HARQ entity per cell in the case of carrier aggregation (CA); priority handling between UEs via dynamic scheduling; priority handling between logical channels of a UE via logical channel priority ordering; and padding. A single MAC entity can support multiple parameter sets, transmission timings, and cells. Mapping constraints in logical channel priority ordering control which parameter set(s), cell(s), and transmission timing(s) a logical channel(s) can use.

[0111] MAC provides different types of data transmission services. To accommodate these different services, various types of logical channels are defined, each supporting the transmission of a specific type of information. Each logical channel type is defined by the type of information being transmitted. Logical channels are divided into two groups: control channels and traffic channels. Control channels are used only for transmitting control plane information, while traffic channels are used only for transmitting user plane information. The Broadcast Control Channel (BCCH) is a downlink logical channel used for broadcasting system control information. The Paging Control Channel (PCCH) is a downlink logical channel that transmits paging information, system information change notifications, and indications of ongoing Public Warning Service (PWS) broadcasts. The Common Control Channel (CCCH) is a logical channel used to send control information between the UE and the network and is used by UEs without an RRC connection to the network. The Dedicated Control Channel (DCCH) is a point-to-point bidirectional logical channel used by UEs with an RRC connection to send dedicated control information between the UE and the network. The Dedicated Traffic Channel (DTCH) is a point-to-point logical channel dedicated to a single UE for transmitting user information. DTCHs can exist in both the uplink and downlink. In the downlink, the following connections exist between logical channels and transport channels: BCCH can be mapped to the broadcast channel (BCH); BCCH can be mapped to the downlink shared channel (DL-SCH); PCCH can be mapped to the paging channel (PCH); CCCH can be mapped to DL-SCH; DCCH can be mapped to DL-SCH; and DTCH can be mapped to DL-SCH. In the uplink, the following connections exist between logical channels and transport channels: CCCH can be mapped to the uplink shared channel (UL-SCH); DCCH can be mapped to UL-SCH; and DTCH can be mapped to UL-SCH.

[0112] The RLC sublayer supports three transmission modes: Transparent Mode (TM), Unacknowledged Mode (UM), and Acknowledged Mode (AM). RLC configuration is per logical channel and is not dependent on parameter sets and / or transmission duration. In 3GPP NR systems, the main services and functions of the RLC sublayer depend on the transmission mode and include: transmission of upper-layer PDUs; sequence numbering independent of sequence numbering in PDCP (UM and AM); error correction via ARQ (AM only); RLC SDU segmentation (AM and UM) and re-segmentation (AM only); SDU reassembly (AM and UM); duplicate detection (AM only); RLC SDU discarding (AM and UM); RLC re-establishment; and protocol error detection (AM only).

[0113] In the 3GPP NR system, the main services and functions of the PDCP sublayer for the user plane include: sequence numbering; header compression and decompression using robust header compression (ROHC); transmission of user data; reordering and duplicate detection; in-order delivery; PDCP PDU routing (in the case of separate bearers); retransmission of PDCP SDUs; encryption, decryption, and integrity protection; PDCP SDU discarding; PDCP re-establishment and data recovery for RLC AM; PDCP status reporting for RLC AM; and PDCP PDU duplication and duplicate discarding indication to lower layers. The main services and functions of the PDCP sublayer for the control plane include: sequence numbering; encryption, decryption, and integrity protection; transmission of control plane data; reordering and duplicate detection; in-order delivery; and PDCP PDU duplication and duplicate discarding indication to lower layers.

[0114] In the 3GPP NR system, the main services and functions of SDAP include: mapping between QoS flows and data radio bearers; and marking QoS flow IDs (QFIs) in both DL and UL packets. A single protocol entity for SDAP is configured for each individual PDU session.

[0115] In the 3GPP NR system, the main services and functions of the RRC sublayer include: broadcasting system information related to AS and NAS; paging initiated by 5GC or NG-RAN; establishment, maintenance, and release of RRC connections between UE and NG-RAN; security functions including key management; establishment, configuration, maintenance, and release of signaling radio bearers (SRB) and data radio bearers (DRB); mobility functions (including: handover and context delivery, UE cell selection and reselection, and control of cell selection and reselection, and inter-RAT mobility); QoS management functions; UE measurement reporting and control of reports; detection and recovery of radio link failures; and NAS message delivery from UE to NAS / from NAS to UE.

[0116] Figure 8 The frame structure in a 3GPP-based wireless communication system applying the implementation of this disclosure is shown.

[0117] Figure 8The frame structure shown is merely exemplary, and the number of subframes, the number of time slots, and / or the number of symbols in a frame can vary. In 3GPP-based wireless communication systems, OFDM parameter sets (e.g., subcarrier spacing (SCS), transmission time interval (TTI) durations) can be configured differently across multiple cells aggregated for a UE. For example, if the UE is configured with different SCSs for cells aggregated for cell aggregation, the (absolute time) duration of time resources (e.g., subframes, time slots, or TTIs) comprising the same number of symbols can be different across the aggregated cells. In this document, symbols can include OFDM symbols (or CP-OFDM symbols), SC-FDMA symbols (or Discrete Fourier Transform-Extended-OFDM (DFT-s-OFDM) symbols).

[0118] Reference Figure 8 Downlink and uplink transmissions are organized into frames. Each frame has a T f =10ms duration. Each frame is divided into two half-frames, each half-frame having a duration of 5ms. Each half-frame consists of 5 subframes, where the duration T of each subframe is... sf It is 1ms. Each subframe is divided into time slots, and the number of time slots in a subframe depends on the subcarrier spacing. Each time slot includes 14 or 12 OFDM symbols based on the cyclic prefix (CP). In normal CP, each time slot includes 14 OFDM symbols, and in extended CP, each time slot includes 12 OFDM symbols. The parameter set is based on an exponentially scalable subcarrier spacing Δf = 2. u 15kHz.

[0119] Table 1 shows the results based on subcarrier spacing Δf = 2. u The number N of OFDM symbols per time slot at 15 kHz slot symb The number of time slots N in each frame frame,u slot And the number of time slots N for each subframe of a normal CP. subframe,u slot .

[0120] [Table 1]

[0121] Table 2 shows the results based on subcarrier spacing Δf = 2. u The number N of OFDM symbols per time slot at 15 kHz slot symb The number of time slots N in each frame frame,uslot And the number of time slots N for each subframe of the extended CP. subframe,u slot .

[0122] [Table 2]

[0123] A time slot comprises multiple symbols (e.g., 14 or 12 symbols) in the time domain. For each parameter set (e.g., subcarrier spacing) and carrier, a common resource block (CRB) N is generated from the signaling of higher layers (e.g., RRC signaling). start,u grid Initially, N was defined. size,u grid,x N RB sc Subcarriers and N subframe,u symb A resource grid of N OFDM symbols, where N size,u grid,x This represents the number of resource blocks (RBs) in the resource grid, where the subscript x represents the downlink DL and the uplink UL. N RB sc N is the number of subcarriers in each RB. In 3GPP-based wireless communication systems, N RB sc Typically, it is 12. For a given antenna port p, subcarrier spacing configuration u, and transmission direction (DL or UL), there exists a resource grid. The carrier bandwidth N for the subcarrier spacing configuration u is... size,u grid Given by higher-layer parameters (e.g., RRC parameters). Each element in the resource grid for antenna port p and subcarrier spacing configuration u is called a resource element (RE), and a complex symbol can be mapped to each RE. Each RE in the resource grid is uniquely identified by an index k in the frequency domain and an index l representing the symbol position relative to a reference point in the time domain. In 3GPP-based wireless communication systems, RBs are defined by 12 consecutive subcarriers in the frequency domain.

[0124] In 3GPP NR systems, Resource Blocks (RBs) are classified into CRBs and Physical Resource Blocks (PRBs). CRBs are numbered upwards from 0 in the frequency domain for subcarrier spacing configuration u. The center of subcarrier 0 of CRB 0 for subcarrier spacing configuration u coincides with "point A," which serves as the common reference point for the resource block grid. In 3GPP NR systems, PRBs are defined within the Bandwidth Part (BWP) and numbered from 0 to N. size BWP,i -1 is the number, where i is the number of the bandwidth section. The physical resource block n within bandwidth section i... PRBWith public resource block n CRB The relationship between n is as follows: PRB =n CRB +N size BWP,i , where N size BWP,i The bandwidth portion is the common resource block starting relative to CRB 0. A BWP comprises multiple consecutive RBs. A carrier can include up to N (e.g., 5) BWPs. A UE can be configured with one or more BWPs on a given component carrier. Only one BWP can be active at a time among the BWPs configured for the UE. The active BWP is defined within the UE's operating bandwidth of the cell.

[0125] NR bands can be defined as two types of frequency ranges, namely FR1 and FR2. The numerical values ​​of the frequency ranges can be varied. For example, the frequency ranges of the two types (FR1 and FR2) can be shown in Table 3 below. For ease of explanation, in the frequency ranges used in NR systems, FR1 can represent "below 6 GHz range", FR2 can represent "above 6 GHz range", and can be referred to as millimeter wave (mmW).

[0126] [Table 3]

[0127] As mentioned above, the frequency range of the NR system can be varied. For example, FR1 can include a frequency band from 410MHz to 7125MHz, as shown in Table 4 below. That is, FR1 can include a frequency band of 6GHz (or 5850, 5900, 5925MHz, etc.) or greater. For example, the 6GHz (or 5850, 5900, 5925MHz, etc.) or greater frequency band included in FR1 can include unlicensed frequency bands. Unlicensed frequency bands can be used for various purposes, such as for vehicle communications (e.g., autonomous driving).

[0128] [Table 4]

[0129] In this disclosure, the term "cell" can refer to a geographical area in which one or more nodes provide a communication system or to a radio resource. A "cell" as a geographical area can be understood as the coverage area within which a node can provide services using a carrier, and a "cell" as a radio resource (e.g., a time-frequency resource) is associated with bandwidth, which is a frequency range configured by a carrier. A "cell" associated with a radio resource is defined by a combination of downlink and uplink resources (e.g., a combination of DL component carriers (CC) and UL CC). A cell can be configured by downlink resources only, or it can be configured by both downlink and uplink resources. Since DL coverage (which is the range within which a node can transmit a valid signal) and UL coverage (which is the range within which a node can receive a valid signal from a UE) depend on the carrier carrying the signal, a node's coverage area can be associated with the coverage area of ​​the "cell" of the radio resources used by the node. Therefore, the term "cell" can be used to sometimes indicate the service coverage area of ​​a node, at other times to indicate a radio resource, or at other times to indicate the range within which a signal using a radio resource can reach with effective strength.

[0130] In CA, two or more CCs are aggregated. A UE can receive or transmit on one or more CCs simultaneously, depending on its capabilities. CA is supported for both continuous and non-continuous CCs. When CA is configured, the UE has only one RRC connection with the network. During RRC connection establishment / re-establishment / handover, one serving cell provides NAS mobility information, and during RRC connection re-establishment / handover, one serving cell provides security input. This cell is called the primary cell (PCell). The PCell is the cell operating on the primary frequency, where the UE performs the initial connection establishment procedure or initiates the connection re-establishment procedure. Depending on the UE's capabilities, secondary cells (SCells) can be configured to form a set of serving cells together with the PCell. An SCell is a cell that provides additional radio resources above a special cell (PCell). Therefore, the set of serving cells configured for a UE always consists of one PCell and one or more SCells. For dual connectivity (DC) operation, the term "PCell" refers to the PCell of the primary cell group (MCG) or the primary SCell (PSCell) of the secondary cell group (SCG). The SpCell supports PUCCH transmission and contention-based random access and is always active. The MCG is the set of serving cells associated with the primary node, comprising the SpCell (PCell) and optionally one or more SCells. For a UE with a DC configured, the SCG is a subset of serving cells associated with the secondary node, comprising the PSCell and zero or more SCells. For a UE in RRC_CONNECTED without a CA / DC configured, only one serving cell consisting of PCells exists. For a UE in RRC_CONNECTED with a CA / DC configured, the term "serving cell" is used to refer to the set of cells consisting of the SpCell and all SCells. In the DC, two MAC entities are configured in the UE: one for the MCG and one for the SCG.

[0131] Figure 9 An example of a data flow in a 3GPP NR system applying the implementation of this disclosure is shown.

[0132] Reference Figure 9 “RB” indicates a radio bearer, and “H” indicates a header. Radio bearers are classified into two groups: DRBs for user plane data and SRBs for control plane data. MAC PDUs are sent / received to / from external devices via the PHY layer using radio resources. MAC PDUs arrive at the PHY layer in the form of transport blocks.

[0133] In the PHY layer, the uplink transport channels UL-SCH and RACH are mapped to their respective physical channels PUSCH and PRACH, and the downlink transport channels DL-SCH, BCH, and PCH are mapped to PDSCH, PBCH, and PDSCH, respectively. In the PHY layer, uplink control information (UCI) is mapped to the physical PUCCH, and downlink control information (DCI) is mapped to the PDCCH. MAC PDUs associated with UL-SCH are transmitted by the UE via PUSCH based on UL authorization, and MAC PDUs associated with DL-SCH are transmitted by the BS via PDSCH based on DL assignment.

[0134] The technical features associated with network energy saving (on-demand SSB) are described below.

[0135] Network energy efficiency is crucial for environmental sustainability, reducing environmental impact (greenhouse gas emissions), and saving operating costs. As 5G becomes more prevalent across industries and geographic regions, and more advanced services and applications requiring very high data rates (e.g., XR) are being developed, networks are becoming denser, using more antennas, greater bandwidth, and more frequency bands. The environmental impact of 5G needs to be controlled, necessitating the development of novel solutions to improve network energy efficiency.

[0136] Energy consumption has become a significant component of operators' operating expenses. According to a report from GSMA, energy costs for mobile networks account for approximately 23% of operators' total costs. The majority of energy consumption comes from the radio access network, particularly from active antenna units (AAUs), with data centers and fiber optic transmission accounting for a smaller share. The power consumption of radio access can be divided into two parts: a dynamic part, consumed only when data transmission / reception is in progress, and a static part, consumed even when data transmission / reception is not in progress, to maintain the necessary operation of the radio access equipment.

[0137] During the SI phase of the research, a network energy consumption model for base stations (BSs) was defined, including reference configurations for FR1 TDD / FDD and FR2, deep / shallow / micro-sleep power states with corresponding relative power, transition times and energy consumption between different power states based on the two BS categories, and scaling rules for active DL / UL power states considering the segmentation of BS power by static and dynamic power components, with the dynamic power component reflecting dynamic power consumption relative to transmit / receive resource configurations in the time, frequency, spatial, and power domains. Furthermore, evaluation methods and assumptions were implemented to investigate and evaluate potential technical network energy-saving gains relative to other KPIs, including UPT, access delay, UE power consumption, etc.

[0138] Based on the agreed-upon BS energy consumption model and evaluation methods and assumptions, and considering the aforementioned KPIs, potential network energy-saving technologies in various domains were evaluated relative to energy-saving gains and corresponding performance impacts. The studied technologies were categorized into time, frequency, spatial, and power domains, and technology descriptions, along with traditional UE and specification impacts, are summarized in the technical report. Techniques in the time and frequency domains primarily aim to reduce power consumption for the dynamic portion by attempting to achieve BS micro-sleep by turning off more symbols on one or more carriers, and even to reduce the static power portion by extending the interval between consecutive active transmit / receive events to achieve BS shallow / deep sleep. Techniques in the spatial and power domains primarily aim to reduce power consumption for the TRX chain and PA by attempting to turn off more spatial elements and / or reduce transmit power / power spectral density or improve PA efficiency. Some of the studied technologies contribute to network energy saving.

[0139] The Rel-18 work project on network power saving for NR resulted in the specification of several technologies found to be beneficial in the research, primarily for RRC connections, user-specific signals and channels, and low-load scenarios. Technologies specified in Rel-18 include SSB-free SCell operation for inter-band CA in FR1 and co-located cells; enhancements to cell DTX / DRX mechanisms (including alignment of cell DTX / DRX and UE DRX in RRC_CONNECTED mode); inter-node information exchange regarding cell DTX / DRX; technologies in the spatial and power domains to achieve efficient adaptation of spatial elements and efficient adaptation of power offset values ​​between PDSCH and CSI-RS; mechanisms to prevent legacy UEs from camping on cells using Rel-18 NES technologies; enhancements to the CHO process and inter-node beam activation; enhancements to restrict paging to limited areas; and corresponding RRM / RF core requirements.

[0140] Several other beneficial techniques discovered in the study have not yet been specified in Rel-18. This Rel-19 work project aims to specify further network energy efficiency for the beneficial techniques studied in Rel-18 but not yet specified, including adaptive common signal / channel transmission, including on-demand SSB and on-demand SIB1 transmission.

[0141] The goals of the work project are as follows: 1. For both intra-band and inter-band CA (Carrier Assist), specify the procedures and signaling methods to support on-demand SSB SCell operations for UEs configured with CA and in connected mode. [RAN1 / 2 / 3 / 4] The triggering method is specified (selected from UE uplink wake-up signal using existing signals / channels, cell on / off indication via backhaul, and Scell ​​activation / deactivation signaling). Note 1: On-demand SSB transmission can be used by the UE for at least SCell time / frequency synchronization, L1 / L3 measurement and SCell activation, and is supported for FR1 and FR2 in non-shared spectrum.

[0142] 2. Research procedures and signaling methods for supporting on-demand SIB1 for UEs in idle / inactive modes, including: [RAN1 / 2 / 3]

[0143] Triggering method using the uplink wake-up signal of an existing signal / channel.

[0144] Provide wake-up signal configuration to UE

[0145] If necessary, at least for the configuration of the wake-up signal, information exchange between gNBs.

[0146] The adaptive transmission of common signals / channels is specified. [RAN1 / 2 / 3 / 4]

[0147] Adaptation of SSB in the time domain, for example, period adjustment

[0148] Adaptive PRACH in the time domain

[0149] 3. Investigate the adaptation of PRACH in the spatial domain, for example, non-uniform PRACH resources per SSB, and specify whether a beneficial discovery is found.

[0150] Adaptive paging timing includes limiting paging timing in the time domain.

[0151] 4. The corresponding core requirements are specified for the above features [RAN4].

[0152] The technical features related to synchronization signals and PBCH blocks, and SSB-based measurements, are described below. Refer to sections of 3GPP TS38.300 v17.6.0 for details.

[0153] Synchronization signals and PBCH blocks

[0154] Figure 10 An example of the time-frequency structure of SSB is shown.

[0155] The synchronization signal and PBCH block (SSB) consist of the primary synchronization signal and the secondary synchronization signal (PSS, SSS) (each PSS and SSS occupies one symbol and 127 subcarriers) and the PBCH spanning three OFDM symbols and 240 subcarriers, but an unused portion in the middle of one symbol is reserved for the SSS, such as... Figure 10As shown. The possible time positions of SSBs within a half-frame are determined by the subcarrier spacing and the period of the half-frame for transmitting SSBs is configured by the network. During a half-frame, different SSBs can be transmitted in different spatial directions (i.e., using different beams, spanning the coverage area of ​​the cell).

[0156] Multiple SSBs can be transmitted within the frequency span of a carrier. The PCI of an SSB transmitted at different frequency locations does not need to be unique; that is, different SSBs in the frequency domain can have different PCIs. However, when an SSB is associated with an RMSI, it is called a Cell-Defined SSB (CD-SSB). The PCell is always associated with a CD-SSB located on the synchronization grid.

[0157] Polarity coding is used for PBCH.

[0158] The UE can assume a frequency band-specific subcarrier spacing for the SSB, unless the network has configured the UE to assume a different subcarrier spacing.

[0159] The PBCH symbol carries its own frequency reuse DMRS.

[0160] QPSK modulation is used for PBCH.

[0161] Measurement

[0162] Under RRC_CONNECTED, the UE measures multiple beams (at least one) of the cell, and the measurement results (power values) are averaged to derive cell quality. In doing so, the UE is configured to consider a subset of the detected beams. Filtering occurs at two distinct levels: at the physical layer to derive beam quality, and then at the RRC level to derive cell quality from multiple beams. For both serving and non-serving cells, cell quality from the beam measurements is mentioned in the same manner. If the UE is configured to do this by the gNB, the measurement report can include the measurement results of the X best beams.

[0163] exist Figure 11 The corresponding advanced measurement model is described in the text.

[0164] Figure 11 An example of a measurement model is shown.

[0165] For example, K beams correspond to measurements on SSB or CSI-RS resources configured by the gNB for L3 mobility and detected by the UE at L1.

[0166] -A: Measurements inside the physical layer (beam-specific samples).

[0167] - Layer 1 filtering: Internal Layer 1 filtering of the input measured at point A. The accuracy of the filtering depends on the implementation. How the measurement is actually performed at the physical layer based on the implementation (input A and Layer 1 filtering) is not subject to standard constraints.

[0168] -A 1 : Measurements reported from Layer 1 to Layer 3 after filtering in Layer 1 (i.e., beam-specific measurements).

[0169] - Beam combining / selection: Beam-specific measurements are combined to derive cell quality. Beam combining / selection behavior is standardized, and the module's configuration is provided via RRC signaling. The reporting period at point B is equal to that at point A. 1 One measurement cycle at the location.

[0170] -B: Measurements derived from beam-specific measurements reported to Layer 3 after beam combining / selection (i.e., cell quality).

[0171] - Layer 3 filtering for cell quality: Filtering is performed on the measurements provided at point B. The behavior of the Layer 3 filter is normalized, and the configuration of the Layer 3 filter is provided via RRC signaling. The filtering reporting period at C is equal to one measurement period at B.

[0172] -C: The measurement after processing in the layer 3 filter. The reporting rate is the same as the reporting rate at point B. This measurement is used as input for one or more evaluations of the reporting criteria.

[0173] - Evaluation of reporting criteria: Examine whether an actual measurement report is required at point D. The evaluation can be based on more than one measurement stream at reference point C, for example, to compare different measurements. This is determined by inputs C and C2. 1 Example. The UE should at least at point C, C' each time. 1 When reporting new measurement results, the reporting criteria are evaluated. The reporting criteria are standardized and configured via RRC signaling (UE measurement).

[0174] -D: Measurement report information (message) sent on the radio interface.

[0175] -L3 beam filtering: at point A 1 The filtering performed on the measured values ​​(i.e., beam-specific measurements) is provided at point E. The behavior of the beam filter is normalized, and the configuration of the beam filter is provided via RRC signaling. The filtering reporting period at point E is equal to that at point A. 1 One measurement cycle at the location.

[0176] -E: Measurement value after processing in the beam filter (i.e., beam-specific measurement value). Reporting rate and point A 1The reporting rate is the same at each location. This measurement is used as input to select the X measurements to be reported.

[0177] - Beam selection for beam reporting: Select X measurements from the measurements provided at point E. The beam selection behavior is standardized, and the configuration of this module is provided via RRC signaling.

[0178] -F: Includes beam measurement information in the measurement report (transmitted) on the radio interface.

[0179] Layer 1 filtering introduces a specific level of measurement averaging. How and when the UE accurately performs the required measurements is determined by the implementation of the set of points where the output at point B meets the performance requirements. Layer 3 filtering for cell quality and the relevant parameters used are specified, and no sample availability delay is introduced between points B and C. Points C and C 1 The measurements at this point are the inputs used in the event assessment. The L3 beam filtering and related parameters used are specified, and no sample availability delay is introduced between E and F.

[0180] The characteristics of a measurement report are as follows: - The measurement report includes a measurement identifier of the associated measurement configuration that triggered the report; - Cell and beam measurements to be included in the measurement report are configured by the network; - The number of non-serving cells to be reported can be limited by the network through configuration; Cells belonging to an exclusion list configured by the network are not used for event assessment and reporting, and conversely, when an allow list is configured by the network, only cells belonging to the allow list are used for event assessment and reporting; - Beam measurements to be included in the measurement report are configured by the network (beam identifier only, measurement results and beam identifier, or no beam report).

[0181] The definitions of intra-frequency adjacent (cell) measurements and inter-frequency adjacent (cell) measurements are as follows: - SSB-based in-frequency measurement: If the center frequency of the SSB of the serving cell is the same as the center frequency of the SSB of the neighboring cell, and the subcarrier spacing of the two SSBs is also the same, then the measurement is defined as an SSB-based in-frequency measurement.

[0182] - SSB-based inter-frequency measurement: If the center frequency of the serving cell's SSB is different from that of the neighboring cell's SSB, or if the subcarrier spacing of the two SSBs is different, the measurement is defined as an SSB-based inter-frequency measurement.

[0183] - CSI-RS-based in-frequency measurement: The measurement is defined as a CSI-RS-based in-frequency measurement under the following conditions: - The subcarrier spacing of the CSI-RS resources configured for measurement on neighboring cells is the same as the SCS of the CSI-RS resources indicated for measurement on the serving cell; and - For a 60kHz subcarrier spacing, the CP type of the CSI-RS resources configured for measurement on neighboring cells is the same as the CP type of the CSI-RS resources indicated for measurement on the serving cell; and - The center frequency of the CSI-RS resources on the neighboring cell configured for measurement is the same as the center frequency of the CSI-RS resources on the serving cell indicated for measurement.

[0184] -CSI-RS based inter-frequency measurement: If the measurement is not a CSI-RS based intra-frequency measurement, the measurement is defined as a CSI-RS based inter-frequency measurement.

[0185] Whether the measurement is non-gap-assisted or gap-assisted depends on the UE's capabilities, the UE's active BWP, and the current operating frequency. - For SSB-based inter-frequency measurements, if the measurement gap requirement information is reported by the UE, a measurement gap configuration can be provided based on that information. Otherwise, a measurement gap configuration is always provided in the following cases: -If the UE only supports measurement intervals per UE; - If the UE supports per FR measurement interval and any of the serving cells are in the same frequency range as the measurement object.

[0186] - For SSB-based intra-frequency measurements, if the measurement gap requirement information is reported by the UE, a measurement gap configuration can be provided based on that information. Otherwise, a measurement gap configuration is always provided in the following cases: - In addition to the initial BWP, if any of the BWPs configured for the UE or RedCap UE does not contain frequency domain resources for the SSB associated with the initial DLBWP, and for RedCap UEs, no NCD-SSB is configured for serving cell measurements.

[0187] In non-gap-assisted scenarios, the UE should be able to perform such measurements without a measurement gap. In gap-assisted scenarios, it cannot be assumed that the UE can perform such measurements without a measurement gap.

[0188] The network can be accessed via system information or via RRCRelease A dedicated measurement configuration is used to request the UE to measure NR and / or E-UTRA carriers under RRC_IDLE or RRC_INACTIVE conditions. If the UE is configured to perform NR and / or E-UTRA carrier measurements while in RRC_IDLE or RRC_INACTIVE, it can... RRCSetupComplete The message provides the gNB with an indication of the availability of the corresponding measurement results. The network can request the UE to report those measurements after security activation. The request for measurements can be sent by the network immediately after sending the security mode command (i.e., before receiving the security mode from the UE).

[0189] If the UE is configured to perform NR and / or E-UTRA carrier measurements while in RRC_INACTIVE mode, the gNB can request the UE to... RRCResume The message provides the corresponding measurement results, and then the UE can... RRCResumeComplete The message includes available measurement results. Alternatively, the UE can... RRCResumeComplete The message provides the gNB with an indication of the availability of the measurement results, and the gNB can then request the UE to provide these measurement results.

[0190] The technical characteristics related to the serving cell measurement object are described below. Refer to sections of 3GPP TS38.331v17.6.0.

[0191] Measurement Objects: A list of objects on which the UE will perform measurements.

[0192] For intra-frequency and inter-frequency measurements, the measurement object indicates the frequency / time location and subcarrier spacing of the reference signal to be measured. Associated with this measurement object, the network can configure a list of cell-specific offsets, a list of cells to be excluded, and a list of cells to be allowed. Excluded cells are not applicable to event assessments or measurement reports. Allowed cells are cells that are only applicable to event assessments or measurement reports.

[0193] - Corresponding to the MO of each serving cell measObjectId Configured within the service cell servingCellMO instruct.

[0194] For RAT-to-RAT E-UTRA measurements, the measurement object is a single E-UTRA carrier frequency. Associated with this E-UTRA carrier frequency, the network can configure a list of cell-specific offsets and a list of cells to be excluded. Cells excluded from the list are not applicable to event assessments or measurement reports.

[0195] - For RAT-inter-UTRA-FDD measurements, the measurement object is a group of cells on a single UTRA-FDD carrier frequency.

[0196] - For NR side link measurements of L2 U2N relay UEs, the measurement object is the single NR side link frequency to be measured.

[0197] - For CBR measurement of NR sidelink communication, the measurement object is the set of transmission resource pools on a single carrier frequency used for NR sidelink communication.

[0198] - For CBR measurements of NR sidelink discovery, the measurement object is the set of discovery-dedicated resource pools or transport resource pools on a single carrier frequency used for NR sidelink discovery.

[0199] - For CLI measurements, the measurement object indicates the frequency / time location of the SRS resource and / or CLI-RSSI resource, as well as the subcarrier spacing of the SRS resource to be measured.

[0200] BWP-DownlinkDedicated

[0201] The IE BWP-DownlinkDedicated parameter is used to configure dedicated (UE-specific) parameters for the downlink BWP.

[0202] The following is an example of the description of the BWP-DownlinkDedicated field.

[0203] -beamFailureRecoverySCellConfig: Configuration for candidate RSs used for beam failure recovery on SCell.

[0204] -beamFailureRecoverySpCellConfig: Configuration for the candidate RS for beam failure recovery on the SpCell. This field can only be configured if beamFailure-r17 is configured in RadioLinkMonitoringConfig.

[0205] -pdcch-Config: UE-specific PDCCH configuration for a BWP.

[0206] -pdsch-Config: UE-specific PDSCH configuration for a BWP

[0207] -servingCellMO: The measObjectId of the MeasObjectNR associated with the serving cell in the MeasConfig. For this MeasObjectNR, the following relationship applies between this MeasObjectNR and the nonCellDefiningSSB in BWP-DownlinkDedicated of the associated downlink BWP: if ssbFrequency is configured, its value is the same as absoluteFrequencySSB in nonCellDefiningSSB. If this field exists in the downlink BWP and the BWP is active, the RedCap UE uses this measurement object for serving cell measurements (e.g., those included in measurement report trigger events); otherwise, the RedCap UE uses servingCellMO in the ServingCellConfig IE.

[0208] -sps-Config: UE-specific SPS (Semi-Persistent Scheduling) configuration for a BWP. Except for reconfiguration with synchronization, the NW will not reconfigure when an active downlink assignment exists. sps-Config However, NW can be released at any time. sps-Config The network can only use this field or sps-ConfigToAddModList Configure SPS in a BWP. The network will not use this field and sps-ConfigMulticastToAddModList-r17 Configure SPS in a BWP.

[0209] The technical features related to performing the measurement are described below. Refer to section 3GPP TS38.331 v17.6.0 for details.

[0210] For RRC_CONNECTED UEs, cell measurement results should be derived by measuring one or more beams associated with each cell as configured by the network. For all cell measurement results under RRC_CONNECTED except for RSSI and CLI measurements, the UE applies Layer 3 filtering before using the measurement results to evaluate reporting criteria, measurement reports, or criteria implemented by trigger condition reconfiguration. For cell measurements, the network can configure RSRP, RSRQ, SINR, RSCP, or EcN0 as trigger quantities. For CLI measurements, the network can configure SRS-RSRP or CLI-RSSI as trigger quantities. For cell and beam measurements, the reporting quantity can be any combination of quantities (i.e., RSRP only; RSRQ only; SINR only; RSRP and RSRQ; RSRP and SINR; RSRQ and SINR; RSRP, RSRQ, and SINR; RSCP only; EcN0 only; RSCP and EcN0) regardless of the trigger quantity, and for CLI measurements, the reporting quantity can be SRS-RSRP or CLI-RSSI. For conditional reconfiguration execution, the network can configure a maximum of two quantities, both using the same RS type. The UE should not apply Layer 3 filtering to derive CBR measurements. The UE should not apply Layer 3 filtering to derive Rx-Tx time difference measurements.

[0211] The network can also configure the UE to report measurement information for each beam (which can be the measurement result for each beam with a corresponding beam identifier or just the beam identifier). If the beam measurement information is configured to be included in the measurement report, the UE applies Layer 3 beam filtering. On the other hand, the precise L1 filtering for beam measurements used to derive cell measurement results depends on the implementation.

[0212] UE should: 1> Whenever the UE has measConfig At that time, in response to servingCellMO Each serving cell is configured to perform RSRP and RSRQ measurements as follows: 2> If with VarMeasConfig within measIdList At least one of the following is included measId Related reportConfig Include settings ssb of rsType And in the servingCellMO Instructions measObject Configured in ssb-ConfigMobility : 3> If with VarMeasConfig within measIdList At least one of the included measId Related reportConfig Include reportQuantityRS-Indexes and maxNrofRS-IndexesToReport And includes settings ssb of rsType : 4> Based on the SS / PBCH block, derive the RSRP and RSRQ of the layer 3 filtering for each beam of the serving cell; 3> Derive serving cell measurement results based on SS / PBCH blocks; 2> If with VarMeasConfig within measIdList At least one of the included measId Related reportConfig Include settings csi-rs of rsType And in the servingCellMO Instructions measObject Configured in CSI-RS-ResourceConfigMobility : 3> If with VarMeasConfig within measIdList At least one of the included measId Related reportConfig Include reportQuantityRS-Indexes and maxNrofRS-IndexesToReport And includes settings csi-rs of rsType: 4> Based on CSI-RS, derive the RSRP and RSRQ of layer 3 filtering for each beam of the serving cell; 3> Derive serving cell measurement results based on CSI-RS; 1> For those configured servingCellMO Each service cell, if with VarMeasConfig within measIdList At least one of the included measId Related reportConfig Include SINR as a trigger quantity and / or reporting quantity: 2> If reportConfig Include settings ssb of rsType And in servingCellMO Configured in ssb-ConfigMobility : 3> If ReportConfig Include reportQuantityRS-Indexes and maxNrofRS- IndexesToReport : 4> Derive the SINR of layer 3 filtering for each beam of the serving cell based on SS / PBCH blocks; 3> Derive the serving cell SINR based on SS / PBCH blocks; 2> If reportConfig Include settings csi-rs of rsType And in servingCellMO Configured in CSI-RS-ResourceConfigMobility : 3> If ReportConfig Include reportQuantityRS-Indexes and maxNrofRS- IndexesToReport : 4> Derive the SINR of layer 3 filtering for each beam of the serving cell based on CSI-RS; 3> Derive the serving cell SINR based on CSI-RS; 1> For VarMeasConfig within measIdList Each included measId : 2> If it is related reportConfig of reportType Set as reportCGI And timer T321 is running: 3> If it is related reportConfig Configured useAutonomousGaps : 4> Use autonomous gaps to associate as needed measObject The frequency indicated in the code and the RAT perform the corresponding measurements; 3> Otherwise: 4> Use available idle time slots for associated measObject The frequency indicated in the code and the RAT perform the corresponding measurements; 3> If it is for the association measObject of reportCGI The field indicates that the cell is an NR cell and that the indicated cell is broadcasting. SIB1 : 4> Attempt to obtain [information] in the relevant communities. SIB1 ; 3> If reportCGI The cell indicated by this field is an E-UTRA cell: 4> Try to obtain from relevant communities SystemInformationBlockType1 ; 2> If it is related reportConfig Configured ul-DelayValueConfig : 3> Ignore measObject ; 3> For each configured DRB, configure the PDCP layer to perform the corresponding average UL PDCP group delay measurement per DRB; 2> If it is related reportConfig Configured ul-ExcessDelayConfig : 3> Ignore the object being measured; 3> For each configured DRB, configure the PDCP layer to perform a delay measurement of the corresponding ULPDCP excessive packet delay based on the configured threshold for each DRB; 2> If it is related reportConfig of reportType yes periodical ,but eventTriggered ;or 2> If it is related reportConfig of reportType yes condTriggerConfig ,but measId In MCG VarMeasConfig Inside, and in relation to MCG VarConditionalReconfig In condReconfigId Related condExecutionCond Instructions (for inter-SN CPCs initiated by CHO, CPA, or MN in NR-DC); or 2> If it is related reportConfig of reportType yes condTriggerConfig ,but measId In SCG VarMeasConfig Inside, and in relation to SCG VarConditionalReconfig In condReconfigId Related condExecutionCond Instructions (for CPCs within the SN); or 2> If it is related reportConfig of reportType yes condTriggerConfig ,but measId In SCG VarMeasConfig Inside, and in relation to MCG VarConditionalReconfig In condReconfigId Related condExecutionCondSCG Instructions (for inter-SN CPCs initiated by SNs in NR-DC); or 2> If it is related reportConfig of reportType yes condTriggerConfig ,but measId In SCG VarMeasConfig Inside, and in with VarConditionalReconfiguration middle condReconfigurationId Related triggerConditionSN Instructions (for SN-initiated inter-SN CPCs in EN-DC): 3> If a measurement gap configuration is set, or 3> If the UE does not require a measurement gap to perform the measurement of interest: 4> If not configured s-MeasureConfig ,or 4> If s-MeasureConfig Set as ssb-RSRP Furthermore, after layer 3 filtering, the NR SpCell RSRP based on the SS / PBCH block is lower than [previous value]. ssb-RSRP ,or 4> If s-MeasureConfig Set as csi-RSRP Furthermore, after layer 3 filtering, the NRSpCell RSRP based on CSI-RS is lower than [the value is missing from the original text]. csi-RSRP : 5> If measObject Associated with NR and rsType Set as csi-rs : 6> If reportQuantityRS-Indexes and maxNrofRS-IndexesToReport are configured for the associated reportConfig: 7> Targeting reportQuantityRS-Indexes Each measurement indicated in the text is based solely on beam measurements derived from the CSI-RS layer 3 filter; 6> Use from association measObject The parameters are for reportQuantityCell Each measurement and trigger quantity indicated in the code is derived from cell measurement results based on CSI-RS; 5> If measObject Associated with NR and rsType Set as ssb : 6> If reportQuantityRS-Indexes and maxNrofRS-IndexesToReport are configured for the associated reportConfig: 7> Targeting reportQuantityRS-Indexes Each measurement indicated in the text is based solely on the SS / PBCH block derivation layer 3 beam measurement; 6> Use from association measObject The parameters are for reportQuantityCell Each measurement and trigger quantity indicated in the code is derived from cell measurement results based on the SS / PBCH block; 5> If measObject Related to E-UTRA: 6> In related measObject Perform corresponding measurements associated with neighboring cells on the frequency indicated in the code; 5> If measObject Related to UTRA-FDD: 6> In related measObject Perform corresponding measurements associated with neighboring cells on the frequency indicated in the code; 5> If measObject Associated with L2 U2N relay UE: 6> In related measObject Perform the corresponding measurements associated with the candidate relay UE on the frequency indicated in the code; 4> If in the associated ReportConfig Configured inmeasRSSI-ReportConfig : 5> In the related measObject Zhongyou rmtc-Frequency Perform RSSI and channel occupancy measurements on the configured frequency; - The network avoids configuring measurements that are not referenced by any execution conditions for UEs that only support CHO and / or Rel-16CPC.

[0213] 2> If it is related reportConfig of reportType Set as reportSFTD ,and VarMeasReportLis t for this measId Defined numberOfReportsSent Less than 1: 3> If reportSFTD-Meas Set to true: 4> If measObject Related to E-UTRA: 5> Perform SFTD measurements between PCell and E-UTRAPSCell; 5> If reportRSRP Set to true; 6> Perform RSRP measurements for E-UTRA PSCell; 4> Otherwise, if measObject Related to NR: 5> Perform SFTD measurements between PCell and NR PSCell; 5> If reportRSRP Set to true; 6> Perform RSRP measurements on NR PSCell based on SSB; 3> Otherwise, if it contains reportSFTD-NeighMeas : 4> If measObject Related to NR: 5> If included drx-SFTD-NeighMeas : 6> Utilize available idle time slots in PCell and based on associated... measObject The parameters detected in the data are used to perform SFTD measurements between neighboring NR cells; 5> Otherwise: 6> In PCell and based on related measObject The parameters detected in the data are used to perform SFTD measurements between neighboring NR cells; 5> If reportRSRP Set to true: 6> Regarding the association measObject The parameters detected in the NR neighboring cells are used to perform RSRP measurements based on SSB; 2> If it is related reportConfig of reportType yes cli-Periodical or cli- EventTriggered : 3> Execution and Related measObjectCLI The corresponding measurement associated with the CLI measurement resource indicated in the text; 2> Evaluation of the implementation of reporting guidelines, unless reportConfig yes condTriggerConfig .

[0214] Layer 3 filtering

[0215] UE should: 1> For each cell measurement, each beam measurement, each sidelink measurement as needed, each CLI measurement performed for the UE, each candidate L2 U2N relay UE measurement, and for the evaluation of detected NR sidelink U2N relay UEs: 2> Before evaluation for reporting criteria, measurement reporting, or U2N relay (re)selection evaluation, filter the measurement results using the following formula:

[0216] in, M n It is the latest measurement result received from the physical layer; F n It is an updated filtered measurement result, which is used for evaluation of reporting criteria, measurement reporting, or U2N relay (re)selection evaluation; F n-1 These are the old filtered measurement results, where F0 is set to M1 when the first measurement result from the physical layer is received; and for MeasObjectNR, , where k i These are the filter coefficients for the corresponding measurement of the i-th QuantityConfigNR in the quantityConfigNR-List, where i is indicated by the quantityConfigIndex in MeasObjectNR; for other measurements, Where k is the filter coefficient for the corresponding measurement received via quantityConfig; for UTRA-FDD, Where k is the filter coefficient of the corresponding measurement received through quantityConfigUTRA-FDD in QuantityConfig; 2> Adjust the filter so that its time characteristics are maintained at different input rates. Observe the filter coefficient k assuming the sampling rate is equal to X ms; the value of X is equivalent to one frequency L1 measurement cycle under the assumption of non-DRX operation and depends on the frequency range.

[0217] - If k is set to 0, layer 3 filtering is not applied.

[0218] - Filtering is performed in the same domain as evaluations used for reporting criteria, for measurement reporting, or for U2N relay (re)selection evaluations, i.e., logarithmic filtering for logarithmic measurements.

[0219] - The filter input rate depends on the implementation to meet performance requirements. More details regarding physical layer measurements are available later.

[0220] - For CLI-RSSI measurements, whether filtering is reset during BWP handover depends on the UE implementation.

[0221] Derivation of cellar measurement results

[0222] The network can configure UEs in RRC_CONNECTED state to be based on measObject The parameters configured in the middle (e.g., the maximum number of beams to be averaged and the beam combining threshold) and in reportConfig The parameters configured in the middle (to be measured) rsType The RSRP, RSRQ, and SINR measurements for each cell associated with the NR measurement object are derived using SS / PBCH blocks or CSI-RS.

[0223] The network can configure a UE in RRC_IDLE or RRC_INACTIVE state to be based on... VarMeasIdleConfig within measIdleCarrierListNR The parameters configured in the middle are used to derive the RSRP and RSRQ measurement results of each cell associated with the NR carrier for the measurement being performed.

[0224] UE should: 1> For each cell measurement to be derived based on the SS / PBCH block: 2> If under RRC_CONNECTED in the associated measObject In or under RRC_IDLE / RRC_INACTIVE VarMeasIdleConfig within measIdleCarrierListNR No configuration is found in the associated entries. nrofSS-BlocksToAverage ;or 2> If under RRC_CONNECTED in the associated measObject In or under RRC_IDLE / RRC_INACTIVE VarMeasIdleConfig withinmeasIdleCarrierListNR No configuration is found in the associated entries. absThreshSS-BlocksConsolidation ;or 2> If the highest beam measurement value is less than or equal to absThreshSS-BlocksConsolidation : 3> Based on the SS / PBCH block, the measurement value of each cell is derived as the highest beam measurement value; 2> Otherwise: 3> Based on the SS / PBCH block, the measurement of each cell is derived to be higher than absThreshSS- BlocksConsolidation The linear power scale average of the highest beam measurement value, wherein the total number of average beams should not exceed [a certain value]. nrofSS-BlocksToAverage ; 2> If RRC_CONNECTED is applied, apply Layer 3 cell filtering; 1> For each cell measurement to be derived based on CSI-RS: 2> When the relevant CSI-RS resources are included in the associated... measObject In SI-RS- ResourceConfigMobility The community in the middle physCellId of csi-rs-CellMobility In the past, it was believed that CSI-RS resources were suitable for deriving cell measurements; 2> If no association is configured measObject In nrofCSI-RS-ResourcesToAverage ;or 2> If no association is configured measObject In absThreshCSI-RS-Consolidation ;or 2> If the highest beam measurement value is less than or equal to absThreshCSI-RS-Consolidation : 3> Based on the CSI-RS resources applicable to each cell, the measurement value of each cell is derived as the highest beam measurement value; 2> Otherwise: 3> Based on CSI-RS, the measurement of each cell is derived to be higher than absThreshCSI-RS-Consolidation The linear power scale average of the highest beam measurement value, wherein the total number of average beams should not exceed nrofCSI-RS- ResourcesToAverage ; 2> Application Layer 3 Cell Filtering.

[0225] Derivation of Layer 3 Beam Filter Measurement

[0226] UE should: 1> For each layer 3-beam filter measurement to be derived based on the SS / PBCH block; 2> Derive beam measurements for each configuration based on SS / PBCH blocks and apply layer 3 beam filtering; 1> For the measurement quantities of each layer 3-beam filter to be derived based on CSI-RS; 2> Derive beam measurements for each configuration based on CSI-RS and apply layer 3 beam filtering.

[0227] The technical features related to the measurement report are described below. Refer to section 3GPP TS38.331 v17.6.0 for details.

[0228] Figure 12 An example of a measurement report is shown.

[0229] The purpose of this process is to transmit the measurement results from the UE to the network. The UE only initiates this process after a successful AS security activation.

[0230] For triggering the measurement reporting process measId UE should MeasurementReport The message measResults The settings are as follows: 1> measId Set as the measurement identifier that triggers the measurement report; 1> For configurations with servingCellMO Each service cell: 2> If it is related to triggering the measurement report measId Related reportConfig include rsType : 3> If based on trigger measurement report reportConfig Included rsType Service cell measurements are available: 4> measResultServingMOList within measResultServingCell The settings include the serving cell's RSRP, RSRQ, and available SINR, based on the trigger measurement report. reportConfig Included rsType Derivation; 2> Otherwise: 3> If SSB-based serving cell measurements are available: 4> measResultServingMOList within measResultServingCell The settings include the serving cell's RSRP, RSRQ, and available SINR, derived from the SSB. 3> Otherwise, if serving cell measurements based on CSI-RS are available: 4> measResultServingMOList within measResultServingCell The settings include the serving cell's RSRP, RSRQ, and available SINR, derived from CSI-RS. 1> measResultServingMOList within servCellId Set to include configuration servingCellMO Each NR serving cell (if any); 1> If it is related to triggering the measurement report measId Related reportConfig include reportQuantityRS- Indexes and maxNrofRS-IndexesToReport : 2> For configurations with servingCellMO Each serving cell, including those associated with reportConfig Beam measurement information; 1> If it is related to triggering the measurement report measId Related reportConfig include reportAddNeighMeas : 2> For measIdList Referenced in China, and also servingCellMO Each reference measObjectId (In addition to triggering measurement reports) measId Corresponding measObjectId (Apart from): 3> If servingCellMO Instructions measObjectNR Including with reportConfig The instructions in the middle rsType Corresponding RS resource configuration: 4> Settings measResultServingMOList Inside measResultBestNeighCell If the RSRP measurement results are available to correspond to this measObjectNR The cell, including those based on the RSRP with the highest measurement, is... measObjectNR Corresponding non-service cells reportConfig The instructions in the middle reportQuantityCell and rsType Available measurable quantities and physCellId Otherwise, if the RSRQ measurement results are available to correspond to this measObjectNR The cell, including those based on the highest measured RSRQ, is... measObjectNR Corresponding non-service cells reportConfig The instructions in the middle reportQuantityCell and rsType Available measurable quantities and physCellId Otherwise, it includes correlation based on the SINR with the highest measurement. measObjectNR Corresponding non-service cells reportConfig The instructions in the middle reportQuantityCell and rsType Available measurable quantities and physCellId ; 4> If it is related to triggering the measurement report measId Related reportConfig include reportQuantityRS- Indexes and maxNrofRS-IndexesToReport : 5> For each best non-serving cell included in the measurement report: 6> Including based on association reportConfig Beam measurement information; 1> If it is related to triggering the measurement report measId Related reportConfig Set as eventTriggered ,and eventID Set as eventA3 ,or eventA4 ,or eventA5 ,or eventB1 or eventB2 : 2> If the UE is in NE-DC and the measurement configuration that triggered the measurement report is associated with MCG: 3> measResultServFreqListEUTRA-SCG It is configured to include an entry for each E-UTRA SCG service frequency, with the following content: 4> Including E-UTRA service frequencies carrierFreq ; 4> measResultServingCell The settings include available measurements that the UE is configured to measure via a measurement configuration associated with the SCG; 4> If it is related to triggering the measurement report measId Related reportConfig include reportAddNeighMeas : 5> measResultServFreqListEUTRA-SCG Set in measResultBestNeighCell This includes the amount of the best non-serving cell based on RSRP in the relevant serving frequency; 1> If it is related to triggering the measurement report measId Related reportConfig Set as eventTriggered ,and eventID Set as eventA3 ,or eventA4 or eventA5 : 2> If the UE is in NR-DC and the measurement configuration that triggered the measurement report is associated with MCG: 3> measResultServFreqListNR-SCG Set to have configuration servingCellMO Each NRSCG serving cell includes the following (if any): 4> If it is related to triggering the measurement report measId Related reportConfig include rsType : 5> If based on the measurement configuration associated with SCG, based on triggering the measurement report reportConfig Included rsType Service cell measurements are available: 6> measResultServFreqListNR-SCG within measResultServingCell Set to include in triggering measurement reports reportConfig Included rsType The derived RSRP, RSRQ, and available SINR of the serving cell; 4> Otherwise: 5> If SSB-based serving cell measurements are available based on the measurements associated with the SCG: 6> measResultServFreqListNR-SCG within measResultServingCell The settings include the serving cell's RSRP, RSRQ, and available SINR, derived from the SSB. 5> Otherwise, if serving cell measurements based on CSI-RS are available according to the measurement configuration associated with SCG: 6> measResultServFreqListNR-SCG within measResultServingCell The settings include the serving cell's RSRP, RSRQ, and available SINR, derived from CSI-RS. 4> If the results of the serving cell derived based on SSB are included: 5> ssbFrequency Including those serving the community MeasObjectNR The value indicated by ssbFrequency in the text; 4> If the results of the serving cell derived based on CSI-RS are included: 5> refFreqCSI-RS Including those serving the community MeasObjectNR In refFreqCSI-RS The indicated value; 4> If it is related to triggering the measurement report measID Related reportConfig include reportQuantityRS- Indexes and maxNrofRS-IndexesToReport : 5> For configurations with servingCellMO Each serving cell, including those associated with reportConfig Beam measurement information, where availability is taken into account based on the measurement configuration associated with the SCG; 4> If it is related to triggering the measurement report measId Related reportConfig include reportAddNeighMeas : 5> If by servingCellMO Instructions measObjectNR Including with reportConfig The instructions in the middle rsType Corresponding RS resource configuration: 6> measResultServFreqListNR-SCG within measResultNeighCellListNR Set to: If RSRP measurement results are available corresponding to this measObjectNR The cell, including those with RSRP based on the highest measured value, is... measObjectNR Corresponding non-service cells reportConfig The instructions in the middle reportQuantityCell and rsType Available measurable quantities and physCellId One entry, otherwise, if the RSRQ measurement result is available to correspond to that entry. measObjectNR The cell, including those with the highest measured RSRQ, is related to... measObjectNR Corresponding non-service cells reportConfig The instructions in the middle reportQuantityCell and rsType Available measurable quantities and physCellId One entry, otherwise including entries based on the SINR with the highest measurement. measObjectNR Corresponding non-service cells reportConfig The instructions in the middle reportQuantityCell and rsType Available measurable quantities and physCellId One entry where availability is considered based on the measurement configuration associated with the SCG; 7> If it is related to triggering the measurement report measID Related reportConfig include reportQuantityRS- Indexes and maxNrofRS-IndexesToReport : 8> For each best non-serving cell included in the measurement report: 9> Including based on association reportConfig Beam measurement information, wherein availability is taken into account based on the measurement configuration associated with the SCG; 1> If targeting this measId In the corresponding ReportConfig Medium configuration measRSSI-ReportConfig : 2> rssi-Result Set as reportInterval The linear average of the sample values ​​provided by the lower and middle layers; 2> channelOccupancy Set as reportInterval More than in all sample values channelOccupancyThreshold The percentage of the sample values ​​rounded to the nearest whole number; 1> If the UE acts as an L2 U2N remote UE: 2> Set it up as follows sl-MeasResultServingRelay: 3> cellIdentity Configured to include information contained in discovery messages received from Serving L2 U2N relay UEs. cellAccessRelatedInfo ; 3> sl-RelayUE-Identity Configure it to include the source L2ID of the L2U2N relay service; 3> Set sl-MeasResult to include SL-RSRP for serving L2 U2N relay UEs; - In the absence of data transmission from an L2 U2N relay UE to an L2 U2N remote UE, the configuration of the serving L2U2N relay UE is as follows: sl-MeasResultServingRelay Whether to use SL-RSRP or SD-RSRP depends on the UE implementation.

[0231] 1> If at least one applicable neighboring cell or candidate L2 U2N relay UE exists, report the following: 2> If reportType Set to e ventTriggered or periodical : 3> If the measurement report involves candidate L2 U2N relay UEs: 4> Based on the following settings Set measResultNeighCells In sl-MeasResultsCandRelay To include the most maxNrofRelayMeas Best candidate L2 U2N relay UE: 5> If reportType Set as eventTriggered : 6> Including, for example, regarding this measId of VarMeasReportList Internally defined relaysTriggeredList Includes L2 U2N relay UEs; 5> Otherwise: 6> This includes applicable L2 U2N relay UEs where new measurement results have become available since the latest periodic report or since the measurement was initiated or reset; 5> For those included sl-MeasResultsCandRelay Each L2 U2N relay UE in: 6> cellIdentity Configured to include information contained in the discovery message received from the relevant L2 U2N relay UE. cellAccessRelatedInfo ; 6> sl-RelayUE-Identity Set to include the source L2 ID of the relevant L2 U2N relay UE; 6> sl-MeasResult Configure SD-RSRP to include the relevant L2 U2N trunk UE; 5> For each included L2 U2N relay UE, including according to the requirements for thismeasId of reportConfig The measurement results of the layer 3 filter are sorted as follows: 6> sl-MeasResult Set to include related items in descending order of sort size. reportConfigRelay within reportQuantityRelay The quantity indicated in the middle, that is, firstly includes the best L2 U2N relay UE; 3> Otherwise: 4> Based on the following settings measResultNeighCells To include the most maxReportCells Best neighboring neighborhoods: 5> If reportType Set as eventTriggered ,and eventId Not set to eventD1 : 6> Including, for example, regarding this measId exist VarMeasReportList Internally defined cellsTriggeredList The communities included; 5> Otherwise: 6> Includes applicable cells where new measurement results have become available since the latest periodic report or since the measurement was initiated or reset; 5> For measResultNeighCells Each of the included communities includes physCellId ; 5> If reportType is set to eventTriggered or periodical: 6> For each included cell, based on the specific circumstances... measId of reportConfig The measurement results, including those from layer 3 filtering, are listed in the following order: 7> If with that measId Related measObject Involving NR: 8> If associated reportConfig In rsType Set as ssb : 9> Settings measResult within resultsSSB-Cell To include in the relevant categories in descending order of sorting quantity. reportConfig within reportQuantityCell The amount indicated in the middle is based on SS / PBCH blocks, that is, the best cell is included first; 9> If configured reportQuantityRS-Indexes and maxNrofRS-IndexesToReport This includes beam measurement information; 8> Otherwise, if associated reportConfig In rsType Set as csi-rs : 9> Settings measResult within resultsCSI-RS-Cell To include in the relevant categories in descending order of sorting quantity. reportConfig within reportQuantityCell The CSI-RS-based quantities indicated in the text, i.e., firstly include the best cell; 9> If configured reportQuantityRS-Indexes and maxNrofRS-IndexesToReport This includes beam measurement information; 7> If with that measId Related measObject Involving E-UTRA: 8> measResult Set to include related items in descending order of sort size. reportConfigInterRAT within reportQuantity The quantity indicated in the middle, that is, firstly includes the best cell; 7> If with that measId Related measObject Involving UTRA-FDD, and if ReportConfigInterRAT include reportQuantityUTRA-FDD : 8> measResult Set to include related items in descending order of sort size. reportConfigInterRAT within reportQuantityUTRA-FDD The quantity indicated in the middle, that is, firstly includes the best cell; 2> Otherwise: 3> If by cellForWhichToReportCGI The indicated cell is an NR cell: 4> If the relevant community information has been obtained cgi-Info of plmn-IdentityInfoList : 5> Includes tplmn-IdentityInfoList It includes targets plmn-IdentityInfoList Each entry plmn-IdentityLis、trackingAreaCode (if available) trackingAreaList (if available) ranac (if available) cellIdentity and cellReservedForOperatorUse ; 5> Includes frequencyBandList (If available); 5> Regarding plmn-IdentityInfoList Each of them PLMN-IdentityInfo : 6> If gNB-ID-Length Broadcast: 7> Includes gNB-ID-Length ; 4> If the UE supports nr-CGI-Reporting-NPN And has already obtained the relevant community's... cgi-Info of npn-IdentityInfoList : 5> Includes npn-IdentityInfoList This includes targeting npn-IdentityInfoList Each entry npn-IdentityList , trackingAreaCode , rana c (if available) cellIdentity and cellReservedForOperatorUse ; 5> Regarding NPN-IdentityInfoList Each of them NPN-IdentityInfo : 6> If gNB-ID-Length Broadcast: 7> Includes gNB-ID-Length ; 5> If available, include cellReservedForOtherUse ; 4> Otherwise, if MIB instruct SIB1 Not broadcast: 5> Including from relevant communities MIB The obtained include ssb-SubcarrierOffset and pdcch-ConfigSIB1 of noSIB1 ; 3> If by cellForWhichToReportCGI The indicated cell is an E-UTRA cell: 4> If information regarding the relevant cell has already been obtained cgi-Info-EPC All mandatory fields: 5> In cgi-Info-EPC This includes E-UTRA associated with EPC. SystemInformationBlockType1 The fields in the broadcast; 4> If the UE has E-UTRA / 5GC capability and has already obtained the relevant cell... cgi-Info-5GC All mandatory fields: 5> In cgi-Info-5GC This includes E-UTRA associated with 5GC. SystemInformationBlockType1 The fields in the broadcast; 4> If already obtained from the association measObject In cellForWhichToReportCGI The indicated community cgi-Info mandatory existence fields: 5> Includes freqBandIndicator ; 5> If the community broadcast multiBandInfoList Then it includes multiBandInfoList ; 5> If the community broadcast freqBandIndicatorPriority Then it includes freqBandIndicatorPriority ; 1> If the corresponding measObject Involving NR: 2> If targeting this measId The corresponding reportConfigNR General reportSFTD-Meas Set to true: 3> Based on the following settings measResultSFTD-NR : 4> sfn-OffsetResult and frameBoundaryOffsetResult Set to use measurement results provided by the lower layer; 4> If reportRSRP Set to true; 5> rsrp-Result Set the RSRP of NR PSCell based on SSB derivation; 2> Otherwise, if reportSFTD-NeighMeas Included in the target measId The corresponding reportConfigNR middle: 3> For each applicable cell where measurement results are available, in measResultCellListSFTD-NR It includes entries, and the content is set as follows: 4> physCellId Set as the physical cell identifier for NR neighboring cells.

[0232] 4> sfn-OffsetResult and frameBoundaryOffsetResult Set to use measurement results provided by the lower layer; 4> If reportRSRP Set to true: 5> rsrp-Result Set the RSRP of the relevant cell based on SSB derivation; 1> Otherwise, if the corresponding measObject Involving E-UTRA: 2> If targeting this measId The corresponding reportConfigInterRAT General reportSFTD-Meas Set to true: 3> Based on the following settings measResultSFTD-EUTRA : 4> sfn-OffsetResult and frameBoundaryOffsetResult Set to use measurement results provided by the lower layer; 4> If reportRSRP Set to true; 5> rsrpResult-EUTRA Set the RSRP of EUTRA PSCell; 1> If the average uplink PDCP delay value is available: 2> ul-PDCP-DelayValueResultList Set to include the corresponding average uplink PDCP delay value; 1> If PDCP excessive delay measurement is available: 2> ul-PDCP-ExcessDelayResultList Configure to include the corresponding PDCP excess delay measurement; 1> If targeting this measId The corresponding reportConfig Configured in includeCommonLocationInfo And if detailed location information that has not yet been reported is available, then... locationInfo of commonLocationInfo The content settings are as follows: 2> Includes locationTimestamp ; 2> Includes locationCoordinate (If available); 2> Includes velocityEstimate (If available); 2> Includes locationError (if available); 2> Includes locationSource (If available); 2> If available, include gnss-TOD-msec , 1> If targeting this measId The corresponding reportConfig Lieutenant General coarseLocationRequest Set to true: 2> Includes coarseLocationInfo (If available); 1> If targeting this measId The corresponding reportConfig Configured in includeWLAN-Meas Then in measResults Settings LocationInfo of wlan-LocationInfo As shown below: 2> If available, include in the order of decreasing RSSI for WLAN APs. LogMeasResultWLAN ; 1> If targeting this measId The corresponding reportConfig Configured in includeBT-Meas Then in measResults Settings LocationInfo of BT-LocationInfo As shown below: 2> If available, include in the order of RSSI reduction for Bluetooth beacons. LogMeasResultBT ; 1> If targeting this measId The corresponding reportConfig Configured in includeSensor-Meas Then in measResults Settings LocationInfo of sensor-LocationInfo As shown below: 2> If available, include sensor-MeasurementInformation ; 2> If available, include sensor-MotionInformation ; 1> If there exists at least one applicable transport resource pool for NR sidelink communication / discovery (for measResultsSL ): 2> measResultsListSL Configure it to include CBR measurement results, as shown below: 3> If reportType Set as eventTriggered : 4> Including those targeting measId of VarMeasReportList Internally defined poolsTriggeredList The included transmission resource pool; 3> Otherwise: 4> Includes applicable transport resource pools where new measurement results have become available since the latest periodic report or since the measurement was initiated or reset; 3> If the corresponding measObject If NR sidelink communication / discovery is involved, then for each transport resource pool to be reported: 4> sl-poolReportIdentity Set as the identifier for this transmission resource pool; 4> sl-CBR-ResultsNR Set to the CBR measurement results on the PSSCH and PSCCH of the transport resource pool provided by the lower layer (if available); 1> If at least one applicable CLI measurement resource exists, report it: 2> If reportType Set as cli-EventTriggered or cli-Periodical : 3> Based on the following settings measResultCLI To include the most maxReportCLI The SRS resource with the most interference or the CLI-RSSI resource with the most interference: 4> If reportType Set as cli-EventTriggered : 5> If the trigger value is set to srs-RSRP ,Right now i1-Threshold Set as srs-RSRP : 6> Includes cli-TriggeredList The SRS resources included, such as those for this measId of VarMeasReportList Defined within; 5> If the trigger value is set to cli-RSSI ,Right now i1-Threshold Set as cli-RSSI : 6> Includes cli-TriggeredList The CLI-RSSI resources included in the document, such as those for this measId of VarMeasReportList Defined within; 4> Otherwise: 5> If reportQuantityCLI Set as srs-rsrp : 6> Includes applicable SRS resources for new measurement results available since the latest periodic report or since the measurement was initiated or reset; 5> Otherwise: 6> Includes applicable CLI-RSSI resources that make new measurement results available since the latest periodic report or since the measurement was initiated or reset; 4> For measResultCLI Each SRS resource included: 5> Includes srs-ResourceId ; 5> Settings srs-RSRP-Result The measurement results are included in descending order of layer 3 filtering, that is, the SRS resources with the greatest interference are included first. 4> For measResultCLI Each CLI-RSSI resource included: 5> Includes rssi-ResourceId ; 5> Settings cli-RSSI-Result The measurement results are included in descending order of layer 3 filtering, that is, the CLI-RSSI resources with the most interference are included first. 1> If at least one applicable UE Rx-Tx time difference measurement exists, it should be reported: 2> measResultRxTxTimeDiff Set to the latest measurement result; 1> How to address this measId of VarMeasReportList Defined in numberOfReportsSent Increment by 1; 1> Stop the periodic report timer (if it is running); 1> If this is the case measId of VarMeasReportList Defined in numberOfReportsSent Smaller than this measId The corresponding r eportConfig Defined in ReportMount : 2> Utilize, for example, the target of measId The corresponding r eportConfig Internally defined reportInterval Value start periodic report timer; 1> Otherwise: 2> If reportType Set as Periodical or cli-Periodical Or rxTxPeriodical: 3> Remove the target for this measId of VarMeasReportList Entries in; 3> From VarMeasConfig In measIdLis Remove this from measId ; 1> If the measurement report passes RRCConnectionReconfiguration Internal reception sl- ConfigDedicatedNR Configuration: 2> MeasurementReport The message is submitted to the lower layer so that it can be transmitted via the E-UTRA RRC message. ULInformationTransferIRAT The SRB1 in the middle is used for transmission; 1> Otherwise, if the UE is in (NG)EN-DC: 2> If SRB3 is configured and SCG is not disabled: 3> Via SRB3 MeasurementReport The message is submitted to the lower layer for transmission, at which point the process ends. 2> Otherwise: 3> Embedded in E-UTRA RRC messages via E-UTRA ULInformationTransferMRDC Submit from China MeasurementReport information.

[0233] 1> Otherwise, if the UE is in NR-DC: 2> If the measurement configuration that triggers this measurement report is associated with SCG: 3> If SRB3 is configured and SCG is not disabled: 4> Via SRB3 MeasurementReport The message is submitted to the lower layer for transmission, at which point the process ends. 3> Otherwise: 4> Via embedded in NR RRC messages ULInformationTransferMRDC SRB1 submission MeasurementReport information; 2> Otherwise: 3> Via SRB1 MeasurementReport The message is submitted to the lower layer for transmission, at which point the process ends. 1> Otherwise: 2> MeasurementReport The message is submitted to the lower layer for transmission, at which point the process ends.

[0234] Report of beam measurement information

[0235] For beam measurement information to be included in the measurement report, the UE should: 1> If reportType Set as eventTriggered : 2> The trigger value is treated as the sort value (if available), otherwise RSRP is treated as the sort value (if available), otherwise RSRQ is treated as the sort value (if available), otherwise SINR is treated as the sort value; 1> If reportType Set as periodical : 2> If in reportQuantityRS-Indexes The single report quantity is set to true; 3> Treat the configured single quantity as a sorting quantity; 2> Otherwise: 3> If rsrp Set to true; 4> Treat RSRP as a sorting quantity; 3> Otherwise: 4> Treat RSRQ as a sorting quantity; 1> In order of decreasing sorting quantity, rsIndexResults Set to include up to maxNrofRS- IndexesToReport SS / PBCH block index or CSI-RS index, as shown below: 2> If the measurement information to be included is based on the SS / PBCH block: 3> In resultsSSB-Indexes It includes an index associated with the best beam for that SS / PBCH block sorting amount, and if absThreshSS-BlocksConsolidation Included in the cells associated with the reporting beam measObject of VarMeasConfig In the middle, its sorting quantity is higher than absThreshSS-BlocksConsolidation The remaining beam; 3> If includeBeamMeasurements If set to true, it includes the index for each SS / PBCH block. reportQuantityRS-Indexes The quantities in the sample are based on SS / PBCH measurement results; 2> Otherwise, if the beam measurement information to be included is based on CSI-RS: 3> In resultsCSI-RS-Indexes This includes an index associated with the best beam for that CSI-RS ranking quantity, and if absThreshCSI-RS-Consolidation Included in the cells associated with the reporting beam measObject of VarMeasConfig In the middle, its sorting quantity is higher than absThreshCSI-RS-Consolidation The remaining beam; 3> If includeBeamMeasurements If set to true, it includes for each CSI-RS index. reportQuantityRS-Indexes The quantities in the data are based on CSI-RS measurements.

[0236] Sorting of cell measurement results

[0237] The UE should report according to the trigger report. measId Related reportConfig The parameters are used to determine the sorting quantity: 1> If reportType Set as eventTriggered : 2> For NR cells, aN-Threshold (for eventA1 , eventA2 and eventA4 )or a5- Threshold2 (for eventA5 )or aN-Offset (for eventA3 and eventA6 )or x1-Threshold2 (for eventX1 The quantities used in ) are considered sorting quantities; 2> For E-UTRA cells, bN-ThresholdEUTRA The quantities used are considered sorting quantities; 2> For UTRA-FDD cells, bN-ThresholdUTRA-FDD The quantities used are considered sorting quantities; 2> For candidate L2 U2N relay UEs, yN-Threshold2-Relay Consider it as a sorting quantity; 1> If reportType Set as periodical : 2> Based on the requirements for NR cells reportQuantityCell And according to the E-UTRA cell reportQuantity The sorting quantity is determined as follows: 3> If a single quantity is set to true: 4> Treat this quantity as a sorting quantity; 3> Otherwise: 4> If rsrp Set to true; 5> Treat RSRP as a sorting quantity; 4> Otherwise: 5> Treat RSRQ as a sorting quantity; 2> Based on the UTRA-FDD cell reportQuantityUTRA-FDD The sorting quantity is determined as follows: 3> If a single quantity is set to true: 4> Treat this quantity as a sorting quantity; 3> Otherwise: 4> Treat RSCP as a sorting quantity.

[0238] 2> For candidate L2 U2N relay UEs, reportQuantityRelay It is considered a sorting quantity.

[0239] Meanwhile, the UE applies Layer 3 (L3) filtering before using measurement results to evaluate reporting criteria, measure reports, or trigger condition reconfiguration criteria.

[0240] The UE performs L3 filtering by adding the latest measurement received from the physical layer to the older filtered measurement. The latest received measurement and the older filtered measurement have different weights, which are derived from the filtering coefficients.

[0241] As the transmission period of the synchronization signal and PBCH block (SSB) increases, the reliability of the old filtered measurement results decreases. Therefore, it is desirable to reduce the weight of the old filtered measurement results.

[0242] However, given that the network can dynamically change the SSB transmission period, for example for network energy saving purposes, it is undesirable for the network to reconfigure the filter coefficients whenever the SSB transmission period of either the serving cell or the neighboring cell that the UE should measure is changed.

[0243] Therefore, it is necessary to study filter adaptation based on RS period.

[0244] In the following description, a method for RS-period-based filter adaptation according to some embodiments of the present disclosure will be described with reference to the accompanying drawings.

[0245] The following figures are provided to illustrate specific embodiments of this disclosure. The names of particular devices or signals / messages / fields shown in the figures are provided by way of example, and therefore the technical features of this disclosure are not limited to the specific names used in the following figures. In this document, a wireless device may be referred to as a user equipment (UE).

[0246] Figure 13 Examples of methods for RS-period-based filter adaptation according to some embodiments of this disclosure are shown.

[0247] Specifically, Figure 13 An example of a method performed by a wireless device in a wireless communication system is shown.

[0248] In step S1301, the wireless device can receive information from the network related to a set of filter coefficients for the measurement.

[0249] For example, each filter coefficient is associated with a specific reference signal (RS) transmission period.

[0250] For example, the measured quantities may include reference signal received power (RSRP), reference signal received quality (RSRQ), and / or signal-to-noise and interference ratio (SINR).

[0251] For example, the set of filter coefficients may include (i) first filter coefficients associated with a first RS transmission period and (ii) second filter coefficients associated with a second RS transmission period. For example, the first RS transmission period may be longer than the second RS transmission period.

[0252] For example, the first filter coefficients can be smaller than the second filter coefficients.

[0253] In step S1302, the wireless device can acquire information related to the current RS transmission cycle of the cell.

[0254] For example, a wireless device can detect the current RS transmission cycle of a cell. In another example, a wireless device can receive information from the network related to the current RS transmission cycle of a cell.

[0255] In step S1303, the wireless device can select filter coefficients corresponding to the current RS transmission period of the cell.

[0256] For example, a wireless device can apply layer 3 (L3) filtering with selected filter coefficients to derive measurement results.

[0257] For example, a wireless device can select different filter coefficients for different cells based on the RS transmission period of each cell.

[0258] For example, cells associated with the same measurement (e.g., cells operating on the same frequency) can be configured with the same filter coefficients via the network. Although the same filter coefficients are configured for cells associated with the same measurement, the wireless device can select different filter coefficients for different cells based on the RS transmission period of each cell.

[0259] For example, the Radio Resource Control (RRC) layer of a wireless device can derive older filtered measurements. The RRC layer can receive the latest measurement data from the physical layer of the wireless device (in other words, the latest measurement results received from the physical layer). The RRC layer can derive updated filtered measurements based on older filtered measurements, the latest measurement data from the physical layer, and the selected filter coefficients.

[0260] For example, a wireless device (e.g., a UE) may use the selected filter coefficients as follows.

[0261] Wireless devices can

[0262] 1> For each cell measurement, each beam measurement, each sidelink measurement as needed, each CLI measurement performed for the UE, each candidate L2 U2N relay UE measurement, and for the evaluation of detected NR sidelink U2N relay UEs: 2> Before using measurement results for evaluation of reporting criteria, measurement reporting, or U2N relay (re)selection evaluation, filter the measurement results using the following formula:

[0263] in, M n It is the latest measurement result received from the physical layer; F n It is an updated filtered measurement result, which is used for evaluation of reporting criteria, measurement reporting, or U2N relay (re)selection evaluation; F n-1 These are the old filtered measurement results, where F0 is set to M1 when the first measurement result from the physical layer is received; and for MeasObjectNR , , where k i It is aimed at quantityConfigNR-List The i-th QuantityConfigNR The corresponding measured filter coefficients ( filterCoefficient ), and i is by MeasObjectNR In quantityConfigIndex Instructions; for other measurements, Where k is for passing through quantityConfig The filter coefficients of the received corresponding measurements; for UTRA-FDD, , where k is through QuantityConfig In quantityConfigUTRA-FDD The filter coefficients of the received corresponding measurements; 2> Adjust the filter so that its time characteristics are maintained at different input rates. Note that the filter coefficient k is assumed to be equal to the sampling rate X ms; the value of X is equivalent to one frequency L1 measurement cycle under the assumption of non-DRX operation and depends on the frequency range.

[0264] - If k is set to 0, layer 3 filtering is not applied.

[0265] - Filtering is performed in the same domain as evaluations used for reporting criteria, for measurement reporting, or for U2N relay (re)selection evaluations, i.e., logarithmic filtering for logarithmic measurements.

[0266] - The filter input rate depends on the implementation to meet performance requirements. More details on physical layer measurements are available.

[0267] - For CLI-RSSI measurements, whether filtering is reset during BWP handover depends on the UE implementation.

[0268] In step S1304, the wireless device can derive the measurement results for the cell for the measurement quantity based on the selected filter coefficients.

[0269] For example, a wireless device can receive reference signals for the measured quantity from a network to derive measurement results.

[0270] For example, the reference signal can be a synchronization signal and a PBCH block (SSB) or a channel state information reference signal (CSI-RS).

[0271] For example, a wireless device can evaluate at least one reporting condition based on derived measurement results.

[0272] For example, a wireless device can evaluate one or more conditional mobility criteria based on derived measurement results.

[0273] According to some embodiments of this disclosure, the wireless device can receive information related to a modified RS transmission period from a network. The wireless device can select filter coefficients corresponding to the modified RS transmission period of the cell.

[0274] According to some embodiments of this disclosure, the wireless device can communicate with at least one of a user device, a network, or an autonomous vehicle, other than the wireless device itself.

[0275] The adaptive technical features for RS-period-based L3 filtering are described below.

[0276] The UE selects a filter coefficient from a set of filter coefficients configured for a single measurement based on the transmission period of the reference signal transmitted by the cell, and performs layer 3 filtering on the measurement results of the cell for the measurement using the selected filter coefficient.

[0277] The reference signal (i.e., RS) is either SSB or CSI-RS.

[0278] The measured quantity is RSRP, RSRQ, or SINR.

[0279] Each filter coefficient is associated with a specific RS transmission period. Generally, smaller filter coefficients are associated with longer RS ​​transmission periods.

[0280] If the RS transmission period changes, the network notifies the UE of the change. For example, the network notifies the UE of the changed RS transmission period. Alternatively, the network sends an indicator to the UE indicating an increase / decrease in the RS transmission period. Upon receiving the indicator, the UE considers that the RS transmission period has changed to a predefined value.

[0281] When the network notifies of a change in the RS transmission period, the UE reselects the filter coefficients for the measurement based on the modified RS transmission period.

[0282] The UE resets the filtering when reselecting filter coefficients. For example, if new filter coefficients for SSB RSRP are selected, the UE deletes the old filtered measurements for SSB RSRP.

[0283] For cells associated with the same measurement (i.e., cells operating on the same frequency), the same filter coefficients are configured via the network. Although the same filter coefficients are configured for cells associated with the same measurement, the UE can select different filter coefficients for different cells based on the RS transmission period of each cell.

[0284] The UE uses filtered measurement results to evaluate reporting criteria, measure reports, or trigger condition reconfiguration criteria.

[0285] Figure 14 An example of an adaptive method for L3 filtering based on RS period is shown.

[0286] In step S1401, the UE can receive information about the SSB transmission period of the cell from the network. The current SSB transmission period of the cell is 40 ms.

[0287] In step S1402, the UE can receive L3 filter configuration from the network. For each cell measurement configured for the cell (e.g., SSB-RSRP and SSB-RSRQ), a set of filter coefficients is configured as described in Table 5.

[0288] For example, Table 5 shows an example set of filter coefficients.

[0289] [Table 5]

[0290] In step S1403, the UE can select fc3 and fc6 for RSRP and RSRQ respectively. The UE can perform layer 3 filtering on the cell measurement results using the selected filter coefficients.

[0291] In other words, the UE can apply an L3 filter with fc3 to the cell's RSRP measurement results and an L3 filter with fc6 to the cell's RSRQ measurement results.

[0292] In step S1404, the UE may receive an indication that the SSB transmission period has increased. The UE may assume that the SSB transmission period has been changed to a predefined value (e.g., 80 ms).

[0293] In step S1405, the UE can select fc2 and fc4 for RSRP and RSRQ respectively. The UE can perform layer 3 filtering on the cell measurement results using the selected filter coefficients.

[0294] Alternative solutions

[0295] The network configures default filter coefficients for individual measurements, and the UE scales the default filter coefficients based on the cell's RS transmission period and applies the modified filter coefficients to the cell's measurements.

[0296] The UE scales the default filter coefficients by adding / multiplying the scaling factor to the default filter coefficients.

[0297] The UE can derive the scaling factor from the current RS transmission cycle or the difference between the current RS transmission cycle and the previous RS transmission cycle.

[0298] The scaling factor can be configured per RS ​​transmission cycle of the network.

[0299] For example, configure the default filter coefficients and scaling factors as described in Table 6.

[0300] For example, Table 6 shows an example set of filter coefficients.

[0301] [Table 6]

[0302] The current SSB transmission period of the cell is 40 ms, and the UE selects fc8 and fc6 for RSRP and RSRQ respectively.

[0303] The SSB transmission period of the cell changes from 40 ms to 80 ms. Then, the UE scales the filter coefficients as follows: For the 80ms RSRP filter coefficients, use the default filter coefficients (=fc8). The scaling factor associated with 80 ms (=0.5) = fc4.

[0304] The RSRQ filter coefficients for 80 ms are equal to the default filter coefficients (=fc6). The scaling factor (=0.5) associated with 80 ms is fc3.

[0305] Figure 15 An example of an adaptive method for L3 filtering based on RS period is shown.

[0306] In step S1501, the wireless device may receive a set of filter coefficients for the measured quantity. For example, each filter coefficient may be associated with a specific RS transmission period.

[0307] In step S1502, the wireless device may receive information about the current RS transmission cycle of the cell.

[0308] In step S1503, the wireless device can select filter coefficients associated with the current RS transmission period of the cell.

[0309] In step S1504, the wireless device can measure the cell.

[0310] In step S1505, the wireless device can use the selected filter coefficients to filter the measurement results of the cell for the measurement quantity.

[0311] For example, wireless devices can use the filtered results to evaluate reporting criteria and / or conditional mobility criteria.

[0312] exist Figures 13 to 15 Some of the detailed steps shown in the examples may not be necessary and can be omitted. Besides... Figures 13 to 15 In addition to the steps shown, other steps may be added, and the order of the steps may be changed. Some of the steps described above may have their own technical significance.

[0313] In the following sections, an apparatus for RS-period-based filter adaptation according to some embodiments of the present disclosure will be described. Here, the apparatus may be... Figure 2 , Figure 3 , Figure 5 and Figure 10 Wireless devices (100 or 200) in the middle.

[0314] For example, a wireless device can perform the above method. Detailed explanations that overlap with the above may be simplified or omitted.

[0315] Reference Figure 5 The wireless device 100 may include a processor 102, a memory 104, and a transceiver 106.

[0316] According to some embodiments of this disclosure, processor 102 may be configured to be operatively coupled to memory 104 and transceiver 106.

[0317] For example, a wireless device may include at least one transceiver, at least one processor, and at least one memory, the at least one memory being operatively connected to the at least one processor and storing instructions that perform operations based on execution by the at least one processor.

[0318] The operation includes: receiving information from the network related to a set of filter coefficients for a measurement, wherein each filter coefficient is related to a specific reference signal (RS) transmission period; acquiring information related to the current RS transmission period of the cell; selecting filter coefficients related to the current RS transmission period of the cell; and deriving a measurement result for the cell for the measurement based on the selected filter coefficients.

[0319] For example, the operation also includes evaluating at least one reporting condition based on the measurement results.

[0320] For example, the operation also includes evaluating one or more conditional mobility criteria based on the measurement results.

[0321] For example, the operation also includes applying layer 3 (L3) filtering with selected filter coefficients to derive the measurement results.

[0322] For example, the operation further includes: deriving an old filtered measurement result from the radio resource control (RRC) layer of the wireless device; receiving the latest measurement data from the physical layer of the wireless device by the RRC layer; and deriving an updated filtered measurement result by the RRC layer based on the old filtered measurement result, the latest measurement data from the physical layer, and the selected filtering coefficients.

[0323] For example, the operation also includes receiving a reference signal for the measured quantity from the network.

[0324] For example, the reference signal is the synchronization signal and the PBCH block (SSB) or the channel state information reference signal (CSI-RS).

[0325] For example, the measurements include reference signal received power (RSRP), reference signal received quality (RSRQ), and / or signal-to-noise and interference ratio (SINR).

[0326] For example, the set of filter coefficients includes (i) first filter coefficients associated with a first RS transmission period and (ii) second filter coefficients associated with a second RS transmission period, wherein the first RS transmission period is longer than the second RS transmission period.

[0327] For example, the coefficients of the first filter are smaller than those of the second filter.

[0328] For example, the operation also includes receiving information related to the modified RS transmission period from the network.

[0329] For example, the operation also includes selecting filter coefficients related to the modified RS transmission period of the cell.

[0330] For example, the operation also includes selecting different filter coefficients for different cells based on the RS transmission period of each cell.

[0331] For example, the processor may be adapted to communicate with at least one of user equipment, a network, or an autonomous vehicle, other than a wireless device.

[0332] In the following, a processor for a wireless device with RS-cycle-based filter adaptation according to some embodiments of the present disclosure will be described.

[0333] The processor can be adapted to control wireless devices to perform operations.

[0334] The operation includes: receiving information from the network related to a set of filter coefficients for a measurement, wherein each filter coefficient is related to a specific reference signal (RS) transmission period; acquiring information related to the current RS transmission period of the cell; selecting filter coefficients related to the current RS transmission period of the cell; and deriving a measurement result for the cell for the measurement based on the selected filter coefficients.

[0335] For example, the operation also includes evaluating at least one reporting condition based on the measurement results.

[0336] For example, the operation also includes evaluating one or more conditional mobility criteria based on the measurement results.

[0337] For example, the operation also includes applying layer 3 (L3) filtering with selected filter coefficients to derive the measurement results.

[0338] For example, the operation further includes: deriving an old filtered measurement result from the radio resource control (RRC) layer of the wireless device; receiving the latest measurement data from the physical layer of the wireless device by the RRC layer; and deriving an updated filtered measurement result by the RRC layer based on the old filtered measurement result, the latest measurement data from the physical layer, and the selected filtering coefficients.

[0339] For example, the operation also includes receiving a reference signal for the measured quantity from the network.

[0340] For example, the reference signal is the synchronization signal and the PBCH block (SSB) or the channel state information reference signal (CSI-RS).

[0341] For example, the measurements include reference signal received power (RSRP), reference signal received quality (RSRQ), and / or signal-to-noise and interference ratio (SINR).

[0342] For example, the set of filter coefficients includes (i) first filter coefficients associated with a first RS transmission period and (ii) second filter coefficients associated with a second RS transmission period, wherein the first RS transmission period is longer than the second RS transmission period.

[0343] For example, the coefficients of the first filter are smaller than those of the second filter.

[0344] For example, the operation also includes receiving information related to the modified RS transmission period from the network.

[0345] For example, the operation also includes selecting filter coefficients related to the modified RS transmission period of the cell.

[0346] For example, the operation also includes selecting different filter coefficients for different cells based on the RS transmission period of each cell.

[0347] For example, the processor may be adapted to control communication between the wireless device and at least one of the following: user equipment, network, or autonomous vehicle, other than the wireless device.

[0348] In the following, a non-transitory computer-readable medium storing a plurality of instructions for RS-period-based filter adaptation will be described according to some embodiments of the present disclosure.

[0349] According to some embodiments of this disclosure, the technical features of this disclosure can be directly implemented in hardware, in software executed by a processor, or a combination of both. For example, a method executed by a wireless device in wireless communication can be implemented in hardware, software, firmware, or any combination thereof. For example, software can reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, removable disk, CD-ROM, or any other storage medium.

[0350] Some examples of storage media are coupled to a processor, allowing the processor to read information from the storage media. Alternatively, the storage media can be integrated into the processor. The processor and storage media can reside in an ASIC. In another example, the processor and storage media can reside as discrete components.

[0351] Computer-readable media can include tangible and non-transitory computer-readable storage media.

[0352] For example, non-transitory computer-readable media may include random access memory (RAM) such as synchronous dynamic random access memory (SDRAM), read-only memory (ROM), non-volatile random access memory (NVRAM), electrically erasable programmable read-only memory (EEPROM), FLASH memory, magnetic or optical data storage media, or any other medium that can be used to store instructions or data structures. Non-transitory computer-readable media may also include combinations of the above.

[0353] Furthermore, the methods described herein can be implemented at least in part by a computer-readable communication medium that carries or conveys code in the form of instructions or data structures and can be accessed, read, and / or executed by a computer.

[0354] According to some embodiments of this disclosure, a plurality of instructions are stored on a non-transitory computer-readable medium. The stored instructions can be executed by a processor of a wireless device. The stored instructions cause the wireless device to perform operations.

[0355] The operation includes: receiving information from the network related to a set of filter coefficients for a measurement, wherein each filter coefficient is related to a specific reference signal (RS) transmission period; acquiring information related to the current RS transmission period of the cell; selecting filter coefficients related to the current RS transmission period of the cell; and deriving a measurement result for the cell for the measurement based on the selected filter coefficients.

[0356] For example, the operation also includes evaluating at least one reporting condition based on the measurement results.

[0357] For example, the operation also includes evaluating one or more conditional mobility criteria based on the measurement results.

[0358] For example, the operation also includes applying layer 3 (L3) filtering with selected filter coefficients to derive the measurement results.

[0359] For example, the operation further includes: deriving an old filtered measurement result from the radio resource control (RRC) layer of the wireless device; receiving the latest measurement data from the physical layer of the wireless device by the RRC layer; and deriving an updated filtered measurement result by the RRC layer based on the old filtered measurement result, the latest measurement data from the physical layer, and the selected filtering coefficients.

[0360] For example, the operation also includes receiving a reference signal for the measured quantity from the network.

[0361] For example, the reference signal is the synchronization signal and the PBCH block (SSB) or the channel state information reference signal (CSI-RS).

[0362] For example, the measurements include reference signal received power (RSRP), reference signal received quality (RSRQ), and / or signal-to-noise and interference ratio (SINR).

[0363] For example, the set of filter coefficients includes (i) first filter coefficients associated with a first RS transmission period and (ii) second filter coefficients associated with a second RS transmission period, wherein the first RS transmission period is longer than the second RS transmission period.

[0364] For example, the coefficients of the first filter are smaller than those of the second filter.

[0365] For example, the operation also includes receiving information related to the modified RS transmission period from the network.

[0366] For example, the operation also includes selecting filter coefficients related to the modified RS transmission period of the cell.

[0367] For example, the operation also includes selecting different filter coefficients for different cells based on the RS transmission period of each cell.

[0368] For example, the stored instructions can enable the wireless device to communicate with at least one of the following: a user device, a network, or an autonomous vehicle, other than the wireless device itself.

[0369] In the following, a method for filter adaptation based on RS period, performed by a base station (BS) according to some embodiments of the present disclosure, will be described.

[0370] The method includes: a base station sending information to a wireless device related to a set of filter coefficients for a measurement, wherein each filter coefficient is related to a specific reference signal (RS) transmission period; and the base station sending information to the wireless device related to the current RS transmission period of a cell, wherein the wireless device selects filter coefficients related to the current RS transmission period of the cell, and wherein the wireless device derives a measurement result for the cell for the measurement based on the selected filter coefficients.

[0371] In the following, a base station (BS) for filter adaptation based on RS period will be described according to some embodiments of the present disclosure.

[0372] A BS may include a transceiver, memory, and a processor that is operationally coupled to the transceiver and memory.

[0373] The processor can be adapted to control the transceiver to send information to the wireless device related to a set of filter coefficients for a measurement, wherein each filter coefficient is associated with a specific reference signal (RS) transmission period. The processor can also be adapted to control the transceiver to send information to the wireless device related to the current RS transmission period of the cell. The wireless device selects filter coefficients associated with the current RS transmission period of the cell. The wireless device derives the measurement result for the cell based on the selected filter coefficients.

[0374] This disclosure can have various beneficial effects.

[0375] According to some embodiments of this disclosure, the wireless device can efficiently perform filter adaptation based on the RS period.

[0376] For example, in scenarios where the network dynamically changes the SSB transmission period, such as for network energy saving purposes, the UE can apply filter coefficients suitable for the current SSB transmission period without the network reconfiguring the filter coefficients.

[0377] Therefore, the network can save the radio resources required to reconfigure filter coefficients every time the SSB transmission period is changed. Furthermore, since the network does not need to send updated filter coefficients to each UE, it can quickly change the SSB transmission period.

[0378] In other words, because the wireless device selects filter coefficients that are related to the RS transmission period, the network can efficiently implement network power-saving solutions.

[0379] According to some embodiments of this disclosure, wireless communication systems can provide efficient solutions for RS-period-based filter adaptation.

[0380] The beneficial effects that can be obtained through specific embodiments of this disclosure are not limited to those listed above. For example, there may be various technical effects that can be understood and / or deduced from this disclosure by those skilled in the art. Therefore, the specific effects of this disclosure are not limited to those explicitly described herein, but may include various effects that can be understood or deduced from the technical features of this disclosure.

[0381] The claims in this disclosure can be combined in various ways. For example, the technical features in the method claims of this disclosure can be combined to implement or perform in a device, and the technical features in the device claims can be combined to implement or perform in a method. Furthermore, the technical features in the method claims and device claims can be combined to implement or perform in a device. Other implementations are within the scope of the appended claims.

Claims

1. A method, the method comprising: The wireless device receives information from the network related to a set of filter coefficients for the measurement. Each filter coefficient is related to the transmission period of a specific reference signal RS; The wireless device acquires information related to the current RS transmission cycle of the cell; The wireless device selects filter coefficients related to the current RS transmission period of the cell; and The wireless device derives the measurement results for the cell based on the selected filter coefficients.

2. The method according to claim 1, wherein, The method further includes: The wireless device evaluates at least one reporting condition based on the measurement results.

3. The method according to claim 1, wherein, The method further includes: The wireless device evaluates one or more conditional mobility criteria based on the measurement results.

4. The method according to claim 1, wherein, The method further includes: The measurement results are derived by applying layer 3 L3 filtering with selected filter coefficients by the wireless device.

5. The method according to claim 4, wherein, The method further includes: The old filtered measurement results are derived from the Radio Resource Control (RRC) layer of the wireless device; The RRC layer receives the latest measurement data from the physical layer of the wireless device; and The updated filtered measurement results are derived by the RRC layer based on the old filtered measurement results, the latest measurement data from the physical layer, and the selected filter coefficients.

6. The method according to claim 1, wherein, The method further includes: The wireless device receives a reference signal from the network for the measurement.

7. The method according to claim 6, in, The reference signal is the synchronization signal and the PBCH block SSB or the channel state information reference signal CSI-RS.

8. The method according to claim 1, in, The measurements include Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), and / or Signal to Noise and Interference Ratio (SINR).

9. The method according to claim 1, in, The set of filter coefficients includes (i) first filter coefficients associated with the first RS transmission period and (ii) second filter coefficients associated with the second RS transmission period, and The first RS transmission period is longer than the second RS transmission period.

10. The method according to claim 9, in, The first filter coefficient is smaller than the second filter coefficient.

11. The method according to claim 1, wherein, The method further includes: The wireless device receives information related to the modified RS transmission period from the network.

12. The method according to claim 11, wherein, The method further includes: The wireless device selects filter coefficients related to the modified RS transmission period of the cell.

13. The method according to claim 1, wherein, The method further includes: The wireless device selects different filter coefficients for different cells based on the RS transmission period of each cell.

14. The method according to claim 1, in, The wireless device communicates with at least one of the following: user equipment, network, or autonomous vehicle, other than the wireless device itself.

15. A wireless device, the wireless device comprising: At least one transceiver; At least one processor; as well as At least one memory, operatively connectable to the at least one processor and storing instructions that perform operations based on execution by the at least one processor, the operations including: Receive information from the network related to a set of filter coefficients for the measurement. Each filter coefficient is related to the transmission period of a specific reference signal RS; Obtain information related to the current RS transmission cycle of the cell; Select the filter coefficients associated with the current RS transmission period of the cell; and The measurement results for the cell are derived based on the selected filter coefficients.

16. The wireless device according to claim 15, wherein, The operation also includes: At least one reporting condition is evaluated based on the measurement results.

17. The wireless device according to claim 15, One or more conditional mobility criteria are evaluated based on the measurement results.

18. The wireless device according to claim 15, wherein, The operation also includes: The measurement results are derived by applying a layer 3 L3 filter with the selected filter coefficients.

19. The wireless device according to claim 18, wherein, The operation also includes: The old filtered measurement results are derived from the Radio Resource Control (RRC) layer of the wireless device; The RRC layer receives the latest measurement data from the physical layer of the wireless device; and The updated filtered measurement results are derived by the RRC layer based on the old filtered measurement results, the latest measurement data from the physical layer, and the selected filter coefficients.

20. The wireless device according to claim 15, wherein, The operation also includes: Receive a reference signal for the measurement from the network.

21. The wireless device according to claim 20, in, The reference signal is the synchronization signal and the PBCH block SSB or the channel state information reference signal CSI-RS.

22. The wireless device according to claim 15, in, The measurements include Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), and / or Signal to Noise and Interference Ratio (SINR).

23. The wireless device according to claim 15, in, The set of filter coefficients includes (i) first filter coefficients associated with the first RS transmission period and (ii) second filter coefficients associated with the second RS transmission period, and The first RS transmission period is longer than the second RS transmission period.

24. The wireless device according to claim 23, in, The first filter coefficient is smaller than the second filter coefficient.

25. The wireless device according to claim 15, wherein, The operation also includes: Receive information related to the modified RS transmission period from the network.

26. The wireless device according to claim 15, wherein, The operation also includes: Select filter coefficients related to the modified RS transmission period of the cell.

27. The wireless device according to claim 15, wherein, The operation also includes: Different filter coefficients are selected for different cells based on the RS transmission period of each cell.

28. The wireless device according to claim 15, in, The wireless device communicates with at least one of the following: user equipment, network, or autonomous vehicle, other than the wireless device itself.

29. A processor for a wireless device in a wireless communication system, wherein, The processor is adapted to control the wireless device to perform operations, including: Receive information from the network related to a set of filter coefficients for the measurement. Each filter coefficient is related to the transmission period of a specific reference signal RS; Obtain information related to the current RS transmission cycle of the cell; Select the filter coefficients associated with the current RS transmission period of the cell; and The measurement results for the cell are derived based on the selected filter coefficients.

30. A non-transitory computer-readable medium storing a plurality of instructions, which, when executed by a processor of a wireless device, cause the wireless device to perform an operation, the operation comprising: Receive information from the network related to a set of filter coefficients for the measurement. Each filter coefficient is related to the transmission period of a specific reference signal RS; Obtain information related to the current RS transmission cycle of the cell; Select the filter coefficients associated with the current RS transmission period of the cell; and The measurement results for the cell are derived based on the selected filter coefficients.

31. A method, the method comprising, The base station sends information related to a set of filter coefficients for the measurement to the wireless device. in, Each filter coefficient is related to the transmission period of a specific reference signal RS; as well as The base station sends information related to the current RS transmission cycle of the cell to the wireless device. Wherein, the wireless device selects filter coefficients related to the current RS transmission period of the cell, and The wireless device derives the measurement results of the cell for the measured quantity based on the selected filter coefficients.

32. A base station, the base station comprising: transceiver; Memory; as well as At least one processor, operatively coupled to the transceiver and the memory, and adapted to: Send information related to a set of filter coefficients for the measurement to the wireless device. Each filter coefficient is related to the transmission period of a specific reference signal RS; and Send information related to the current RS transmission cycle of the cell to the wireless device. Wherein, the wireless device selects filter coefficients related to the current RS transmission period of the cell, and The wireless device derives the measurement results of the cell for the measured quantity based on the selected filter coefficients.

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