Probability-based random access procedure
By using probability sets to update and selecting appropriate synchronization signal blocks (SSBs) in wireless communication systems, the problems of low random access efficiency and long access delay in the prior art are solved, and more efficient resource utilization and communication are achieved Quality improvement.
Patent Information
- Application Number
- CN202280095966.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2022-05-16
- Publication Date
- 2024-12-20
AI Technical Summary
The existing wireless communication system is difficult to effectively utilize probability information during random access, resulting in low resource allocation efficiency and long access delay, and user equipment lacks accuracy when selecting a suitable synchronization signal block (SSB), affecting communication. quality.
用户设备(UE)和网络实体通过接收和更新与SSB相关联的概率集,基于初始概率集确定更适合的SSB集,进而选择合适的SSB进行随机接入过程,利用概率信息优化资源分配和接 Entry delay.
It improves the efficiency and success rate of the random access process, reduces access delay, optimizes resource utilization, and enhances communication quality.
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Figure CN119174275A_ABST
Abstract
Description
Technical Field
[0001] Aspects of the present disclosure relate generally to wireless communications, and to techniques and apparatus for probability-based random access procedures. Background Art
[0002] Wireless communication systems are widely deployed to provide a variety of telecommunication services, such as telephony, video, data, messaging, and broadcasting. Typical wireless communication systems may employ multiple access technologies that can support communication with multiple users by sharing available system resources (e.g., bandwidth, transmit power, etc.). Examples of such multiple access technologies include code division multiple access (CDMA) systems, time division multiple access (TDMA) systems, frequency division multiple access (FDMA) systems, orthogonal frequency division multiple access (OFDMA) systems, single carrier frequency division multiple access (SC-FDMA) systems, time division synchronous code division multiple access (TD-SCDMA) systems, and long term evolution (LTE). LTE / LTE-Advanced is a set of enhancements to the Universal Mobile Telecommunications System (UMTS) mobile standard promulgated by the Third Generation Partnership Project (3GPP).
[0003] A wireless network may include one or more base stations that support communications for a user equipment (UE) or multiple UEs. A UE may communicate with a base station via downlink communications and uplink communications. A "downlink" (or "DL") refers to the communication link from a base station to a UE, and an "uplink" (or "UL") refers to the communication link from a UE to a base station.
[0004] The above-mentioned multiple access technologies have been adopted in various telecommunication standards to provide a common protocol that enables different UEs to communicate at a city, country, region and / or global level. New Radio (NR) (which may be referred to as 5G) is a set of enhancements to the LTE mobile standard promulgated by 3GPP. NR is designed to better support mobile broadband Internet access by: improving spectrum efficiency; reducing costs; improving services; utilizing new spectrum; and using orthogonal frequency division multiplexing (OFDM) (CP-OFDM) with cyclic prefix (CP) on the downlink, CP-OFDM and / or single carrier frequency division multiplexing (SC-FDM) (also known as discrete Fourier transform spread OFDM (DFT-s-OFDM)) on the uplink to better integrate with other open standards; and supporting beamforming, multiple input multiple output (MIMO) antenna technology and carrier aggregation. As the demand for mobile broadband access continues to increase, further improvements in LTE, NR and other radio access technologies remain useful. Summary of the invention
[0005] Some aspects described herein relate to a method of wireless communication performed by a user equipment (UE). The method may include receiving an initial probability set associated with a first synchronization signal block (SSB) set, the initial probability set indicating an opportunity to use an SSB within the first set for a random access procedure. The method may include determining an updated probability set associated with a second SSB set, the updated probability set being based on the initial probability set and indicating an opportunity to use an SSB within the second set for the random access procedure. The method may include performing the random access procedure with an SSB selected from the second SSB set.
[0006] Some aspects described herein relate to a wireless communication method performed by a network entity. The method may include sending an initial probability set associated with a first SSB set, the initial probability set indicating an opportunity to use an SSB within the first set for a random access procedure. The method may include performing the random access procedure with a UE using an SSB selected at least in part based on the initial probability set.
[0007] Some aspects described herein relate to an apparatus for wireless communication at a UE. The apparatus may include: a memory and one or more processors coupled to the memory. The one or more processors may be configured to receive an initial probability set associated with a first SSB set, the initial probability set indicating an opportunity to use an SSB within the first set for a random access procedure. The one or more processors may be configured to determine an updated probability set associated with a second SSB set, the updated probability set being based on the initial probability set and indicating an opportunity to use an SSB within the second set for the random access procedure. The one or more processors may be configured to perform the random access procedure with an SSB selected from the second SSB set.
[0008] Some aspects described herein relate to an apparatus for wireless communication at a network entity. The apparatus may include: a memory and one or more processors, the one or more processors coupled to the memory. The one or more processors may be configured to send an initial probability set associated with a first SSB set, the initial probability set indicating an opportunity to use the SSBs within the first set for a random access procedure. The one or more processors may be configured to perform the random access procedure with a UE using an SSB selected at least in part based on the initial probability set.
[0009] Some aspects described herein relate to a non-transitory computer-readable medium storing an instruction set for wireless communication by a UE. The instruction set, when executed by one or more processors of the UE, may cause the UE to receive an initial probability set associated with a first SSB set, the initial probability set indicating an opportunity to use the SSBs within the first set for a random access procedure. The instruction set, when executed by one or more processors of the UE, may cause the UE to determine an updated probability set associated with a second SSB set, the updated probability set being based on the initial probability set and indicating an opportunity to use the SSBs within the second set for the random access procedure. The instruction set, when executed by one or more processors of the UE, may cause the UE to perform the random access procedure with an SSB selected from the second SSB set.
[0010] Some aspects described herein relate to a non-transitory computer-readable medium storing an instruction set for wireless communication by a network entity. The instruction set, when executed by one or more processors of the network entity, may cause the network entity to send an initial probability set associated with a first SSB set, the initial probability set indicating an opportunity to use an SSB within the first set for a random access procedure. The instruction set, when executed by one or more processors of the network entity, may cause the network entity to perform the random access procedure with a UE using an SSB selected at least in part based on the initial probability set.
[0011] Some aspects described herein relate to an apparatus for wireless communication. The apparatus may include means for sending an initial probability set associated with a first SSB set, the initial probability set indicating an opportunity to use an SSB within the first set for a random access procedure. The apparatus may include means for determining an updated probability set associated with a second SSB set, the updated probability set being based on the initial probability set and indicating an opportunity to use an SSB within the second set for the random access procedure. The apparatus may include means for performing the random access procedure with an SSB selected from the second SSB set.
[0012] Some aspects described herein relate to an apparatus for wireless communication. The apparatus may include means for receiving an initial probability set associated with a first SSB set, the initial probability set indicating opportunities for using SSBs within the first set for a random access procedure. The apparatus may include means for performing, with a UE, the random access procedure using an SSB selected at least in part based on the initial probability set.
[0013] The various aspects generally include methods, apparatuses, systems, computer program products, non-transitory computer-readable media, user equipment, base stations, wireless communication devices and / or processing systems as fully described herein with reference to the drawings and description and as illustrated in the drawings and description.
[0014] The features and technical advantages of examples according to the present disclosure have been outlined quite extensively above so that the following specific embodiments may be better understood. Additional features and advantages will be described below. The disclosed concepts and specific examples may be easily used as a basis for modifying or designing other structures for achieving the same purpose of the present disclosure. Such equivalent constructions do not depart from the scope of the appended claims. The characteristics of the concepts disclosed herein, both in terms of their organization and method of operation, and the associated advantages will be better understood by considering the following description in conjunction with the accompanying drawings. Each of the figures in the accompanying drawings is provided for the purpose of illustration and description and not as a definition of limitations to the claims.
[0015] Although various aspects are described in the present disclosure by illustrating some examples, it will be understood by those skilled in the art that such aspects can be implemented in many different arrangements and scenarios. The technology described herein can be implemented using different platform types, devices, systems, shapes, sizes and / or packaging arrangements. For example, some aspects can be implemented via integrated chip implementations or other devices based on non-module components (e.g., end-user devices, vehicles, communication equipment, computing equipment, industrial equipment, retail / shopping equipment, medical equipment and / or artificial intelligence devices). Various aspects can be implemented in chip-level components, modular components, non-modular components, non-chip-level components, device-level components and / or system-level components. The equipment incorporating the various aspects and features described may include additional components and features for implementing and practicing the various aspects claimed and described. For example, the transmission and reception of wireless signals may include one or more components for analog and digital purposes (e.g., hardware components, including antennas, radio frequency (RF) chains, power amplifiers, modulators, buffers, processors, interleavers, adders and / or summers). The various aspects described herein are intended to be practiced in various devices, components, systems, distributed arrangements and / or end-user devices of various sizes, shapes and configurations. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] In order to be able to understand the above-mentioned features of the present disclosure in detail, a more specific description briefly summarized above may be obtained by reference to various aspects (some of which are illustrated in the accompanying drawings). However, it should be noted that the accompanying drawings only illustrate certain typical aspects of the present disclosure and are therefore not to be considered as limiting the scope thereof, as the specification may admit of other equally effective aspects. The same reference numerals in different drawings may identify the same or similar elements.
[0017] Figure 1 is a diagram illustrating an example of a wireless network according to the present disclosure.
[0018] Figure 2 is a diagram illustrating an example of a base station communicating with a user equipment (UE) in a wireless network according to the present disclosure.
[0019] Figure 3 is a diagram illustrating an example of a decomposed base station architecture according to the present disclosure.
[0020] Figure 4 is a diagram illustrating an example of a 4-step random access procedure according to the present disclosure.
[0021] Figure 5 is a diagram illustrating an example of a 2-step random access procedure according to the present disclosure.
[0022] Figure 6 and Figure 7 is a diagram illustrating an example associated with a probability-based random access procedure according to the present disclosure.
[0023] Figure 8 is a diagram illustrating an example associated with updating a probability of a random access procedure according to the present disclosure.
[0024] Fig. 9 is a diagram illustrating an example associated with concurrent and timer-based random access procedures according to the present disclosure.
[0025] Fig.10 and Fig.11 is a diagram illustrating an example procedure associated with a probability-based random access procedure according to the present disclosure.
[0026] Fig.12 and Fig.13 is a diagram illustrating an example apparatus for wireless communication according to the present disclosure. DETAILED DESCRIPTION
[0027] The various aspects of the present disclosure are described more fully below with reference to the accompanying drawings. However, the present disclosure can be embodied in many different forms, and should not be construed as being limited to any specific structure or function presented throughout the present disclosure. Instead, these aspects are provided so that the present disclosure will be thorough and complete, and the protection scope of the present disclosure will be fully conveyed to those skilled in the art. It should be understood by those skilled in the art that the scope of the present disclosure is intended to cover any aspect of the disclosure disclosed herein, whether it is implemented independently or in combination with any other aspect of the disclosure. For example, any number of aspects set forth herein may be used to implement a device or practice method. In addition, the scope of the present disclosure is intended to cover such devices or methods implemented using other structures, functionality, or structures and functionality in addition to or different from the various aspects of the disclosure set forth herein. It should be understood that any aspect of the disclosure disclosed herein may be embodied by one or more elements of the claims.
[0028] Several aspects of telecommunication systems will now be presented with reference to various devices and techniques. These devices and techniques will be described in the following detailed description and illustrated in the accompanying drawings by various blocks, modules, components, circuits, steps, processes, algorithms, etc. (collectively referred to as "elements"). These elements may be implemented using hardware, software, or a combination thereof. Whether such elements are implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system.
[0029] Figure 1 1 is a diagram illustrating an example of a wireless network 100 according to the present disclosure. The wireless network 100 may be a 5G (e.g., NR) network and / or a 4G (e.g., Long Term Evolution (LTE)) network, or may include elements of a 5G (e.g., NR) network and / or a 4G (e.g., Long Term Evolution (LTE)) network, etc. The wireless network 100 may include one or more base stations 110 (shown as BS110a, BS110b, BS110c, and BS110d), a user equipment (UE) 120 or a plurality of UEs 120 (shown as UE 120a, UE120b, UE120c, UE120d, and UE120e), and / or other network entities. The base station 110 is an entity that communicates with the UE 120. The base station 110 (sometimes referred to as a BS) may include, for example, an NR base station, an LTE base station, a Node B, an eNB (e.g., in 4G), a gNB (e.g., in 5G), an access point, and / or a transmit receive point (TRP). Each base station 110 may provide communication coverage for a particular geographic area. In the Third Generation Partnership Project (3GPP), the term "cell" may refer to the coverage area of a base station 110 and / or a base station subsystem serving the coverage area, depending on the context in which the term is used.
[0030] Base station 110 may provide communication coverage for a macro cell, a pico cell, a femto cell, and / or another type of cell. A macro cell may cover a relatively large geographic area (e.g., a radius of several kilometers) and may allow unrestricted access by UE 120 with a service subscription. A pico cell may cover a relatively small geographic area and may allow unrestricted access by UE 120 with a service subscription. A femto cell may cover a relatively small geographic area (e.g., a home) and may allow restricted access by UE 120 associated with the femto cell (e.g., UE 120 in a closed subscriber group (CSG)). A base station 110 for a macro cell may be referred to as a macro base station. A base station 110 for a pico cell may be referred to as a pico base station. A base station 110 for a femto cell may be referred to as a femto base station or a home base station. In Figure 1In the example shown, BS 110a may be a macro base station for macrocell 102a, BS 110b may be a pico base station for picocell 102b, and BS 110c may be a femto base station for femtocell 102c. A base station may support one or more (eg, three) cells.
[0031] In some aspects, the term "base station" (e.g., base station 110) or "network node" or "network entity" may refer to a converged base station, a decomposed base station (e.g., a combined Fig. 9 110), an integrated access and backhaul (IAB) node, a relay node, and / or one or more components thereof. For example, in some aspects, a "base station", "network node", or "network entity" may refer to a central unit (CU), a distributed unit (DU), a radio unit (RU), a near real-time (near RT) RAN intelligent controller (RIC), or a non-real-time (non-RT) RIC, or a combination thereof. In some aspects, the term "base station", "network node", or "network entity" may refer to a device configured to perform one or more functions (such as those described herein in conjunction with base station 110). In some aspects, the term "base station", "network node", or "network entity" may refer to a plurality of devices configured to perform one or more functions. For example, in some distributed systems, each of a plurality of different devices (which may be located in the same geographic location or in different geographic locations) may be configured to perform at least a portion of a function, or to repeat the execution of at least a portion of the function, and the term "base station", "network node", or "network entity" may refer to any one or more of these different devices. In some aspects, the term "base station", "network node", or "network entity" may refer to one or more virtual base stations and / or one or more virtual base station functions. For example, in some aspects, two or more base station functions may be instantiated on a single device. In some aspects, the terms "base station," "network node," or "network entity" may refer to one of the base station functions but not another. In this way, a single device may include more than one base station.
[0032] In some examples, the cells may not necessarily be stationary, and the geographic area of the cells may move depending on the location of the mobile base station 110 (e.g., a mobile base station). In some examples, the base stations 110 may be interconnected with each other and / or to one or more other base stations 110 or network nodes (not shown) in the wireless network 100 using any suitable transport network through various types of backhaul interfaces (such as direct physical connections or virtual networks).
[0033] The wireless network 100 may include one or more relay stations. A relay station is an entity that can receive transmissions of data from an upstream station (e.g., a base station 110 or a UE 120) and transmit transmissions of data to a downstream station (e.g., a UE 120 or a base station 110). A relay station may be a UE 120 that is capable of relaying transmissions for other UEs 120. Figure 1 In the example shown, BS 110d (eg, a relay base station) may communicate with BS 110a (eg, a macro base station) and UE 120d to facilitate communication between BS 110a and UE 120d. A base station 110 that relays communications may be referred to as a relay station, relay base station, relay, or the like.
[0034] The wireless network 100 may be a heterogeneous network including different types of base stations 110, such as macro base stations, pico base stations, femto base stations, relay base stations, etc. These different types of base stations 110 may have different transmit power levels, different coverage areas, and / or different impacts on interference in the wireless network 100. For example, a macro base station may have a high transmit power level (e.g., 5 watts to 40 watts), while a pico base station, a femto base station, and a relay base station may have a lower transmit power level (e.g., 0.1 watt to 2 watts).
[0035] A network controller 130 may be coupled to or in communication with a set of base stations 110 and may provide coordination and control for the base stations 110. The network controller 130 may communicate with the base stations 110 via backhaul communication links. The base stations 110 may also communicate directly with each other or indirectly via wireless or wired backhaul communication links.
[0036] UE 120 may be dispersed throughout the wireless network 100, and each UE 120 may be stationary or mobile. UE 120 may include, for example, an access terminal, a terminal, a mobile station, and / or a subscriber unit. UE 120 may be a cellular phone (e.g., a smart phone), a personal digital assistant (PDA), a wireless modem, a wireless communication device, a handheld device, a laptop computer, a cordless phone, a wireless local loop (WLL) station, a tablet computer, a camera, a gaming device, a netbook, a smartbook, an ultrabook, a medical device, a biometric device, a wearable device (e.g., a smart watch, smart clothing, smart glasses, a smart wristband, smart jewelry (e.g., a smart ring or a smart bracelet)), an entertainment device (e.g., a music device, a video device, and / or a satellite radio), a vehicle component or sensor, a smart meter / sensor, an industrial manufacturing equipment, a global positioning system device, and / or any other suitable device configured to communicate via a wireless medium.
[0037] Some UEs 120 may be considered as machine type communication (MTC) or evolved or enhanced machine type communication (eMTC) UEs. MTC UEs and / or eMTC UEs may include, for example, robots, drones, remote devices, sensors, meters, monitors, and / or location tags that may communicate with a base station, another device (e.g., a remote device), or some other entity. Some UEs 120 may be considered as Internet of Things (IoT) devices and / or may be implemented as NB-IoT (narrowband IoT) devices. Some UEs 120 may be considered as customer premises equipment. UE 120 may be included inside a housing that houses components of UE 120, such as a processor component and / or a memory component. In some examples, the processor component and the memory component may be coupled together. For example, a processor component (e.g., one or more processors) and a memory component (e.g., a memory) may be operably coupled, communicatively coupled, electronically coupled, and / or electrically coupled.
[0038] In general, any number of wireless networks 100 may be deployed in a given geographic area. Each wireless network 100 may support a specific radio access technology (RAT) and may operate on one or more frequencies. RAT may be referred to as a radio technology, an air interface, etc. Frequency may be referred to as a carrier, a frequency channel, etc. Each frequency may support a single RAT in a given geographic area to avoid interference between wireless networks of different RATs. In some cases, a new radio (NR) or 5G RAT network may be deployed.
[0039] In some examples, two or more UEs 120 (e.g., shown as UE 120a and UE 120e) may communicate directly (e.g., without using base station 110 as an intermediary to communicate with each other) using one or more side link channels. For example, UE 120 may communicate using peer-to-peer (P2P) communication, device-to-device (D2D) communication, vehicle-to-everything (V2X) protocols (e.g., which may include vehicle-to-vehicle (V2V) protocols, vehicle-to-infrastructure (V2I) protocols, or vehicle-to-pedestrian (V2P) protocols), and / or mesh networks. In such examples, UE 120 may perform scheduling operations, resource selection operations, and / or other operations described elsewhere herein as being performed by base station 110.
[0040] The devices of the wireless network 100 may communicate using an electromagnetic spectrum, which may be subdivided into various categories, bands, channels, etc., according to frequency or wavelength. For example, the devices of the wireless network 100 may communicate using one or more operating bands. In 5G NR, two initial operating bands have been identified as frequency ranges designated FR1 (410 MHz-7.125 GHz) and FR2 (24.25 GHz-52.6 GHz). It should be understood that although portions of FR1 are greater than 6 GHz, FR1 is often (interchangeably) referred to as the "below 6 GHz" band in various documents and articles. A similar naming problem sometimes occurs with respect to FR2, which is often (interchangeably) referred to as the "millimeter wave" band in documents and articles, although it is different from the extremely high frequency (EHF) band (30 GHz-300 GHz) identified as the "millimeter wave" band by the International Telecommunication Union (ITU).
[0041] Frequencies between FR1 and FR2 are generally referred to as mid-band frequencies. Recent 5G NR research has identified the operating bands for these mid-band frequencies as frequency range designation FR3 (7.125GHz-24.25GHz). The bands falling within FR3 can inherit FR1 characteristics and / or FR2 characteristics, and therefore the features of FR1 and / or FR2 can be effectively extended to mid-band frequencies. In addition, higher frequency bands are currently being explored to extend 5G NR operations to more than 52.6GHz. For example, three higher operating bands have been identified as frequency range designations FR4a or FR4-1 (52.6GHz-71GHz), FR4 (52.6GHz-114.25GHz) and FR5 (114.25GHz-300GHz). Each of these higher frequency bands falls within the EHF band.
[0042] Considering the above examples, unless otherwise specifically stated, it should be understood that if the term "below 6 GHz" or the like is used herein, the term may broadly refer to frequencies that may be lower than 6 GHz, may be within FR1, or may include mid-band frequencies. In addition, unless otherwise specifically stated, it should be understood that if the term "millimeter wave" or the like is used herein, the term may broadly refer to frequencies that may include mid-band frequencies, may be within FR2, FR4, FR4-a or FR4-1, and / or FR5, or may be within the EHF band. It is contemplated that the frequencies included in these operating bands (e.g., FR1, FR2, FR3, FR4, FR4-a, FR4-1, and / or FR5) may be modified, and the techniques described herein are applicable to those modified frequency ranges.
[0043] In some aspects, UE 120 may include communication manager 140. As described in greater detail elsewhere herein, communication manager 140 may receive an initial probability set associated with a first synchronization signal block (SSB) set, the initial probability set indicating opportunities to use SSBs within the first set for a random access procedure; determine an updated probability set associated with a second SSB set, the updated probability set based on the initial probability set and indicating opportunities to use SSBs within the second set for a random access procedure; and perform a random access procedure with an SSB selected from the second SSB set. Additionally or alternatively, communication manager 140 may perform one or more other operations described herein.
[0044] In some aspects, a network entity (e.g., base station 110) may include a communication manager 150. As described in greater detail elsewhere herein, the communication manager 150 may send an initial probability set associated with a first SSB set, the initial probability set indicating opportunities to use SSBs within the first set for a random access procedure; and perform a random access procedure with the UE 120 using an SSB selected based at least in part on the initial probability set. Additionally or alternatively, the communication manager 150 may perform one or more other operations described herein.
[0045] As indicated above, Figure 1 are provided as examples. Other examples can be found in the Figure 1 Described differently.
[0046] Figure 2 2 is a diagram illustrating an example 200 of base station 110 communicating with UE 120 in wireless network 100 according to the present disclosure. Base station 110 may be equipped with a set of antennas 234a to 234t, such as T antennas (T≥1). UE 120 may be equipped with a set of antennas 252a to 252r, such as R antennas (R≥1).
[0047] At the base station 110, the transmit processor 220 may receive data intended for the UE 120 (or a set of UEs 120) from the data source 212. The transmit processor 220 may select one or more modulation and coding schemes (MCS) for the UE 120 based at least in part on one or more channel quality indicators (CQI) received from the UE 120. The base station 110 may process (e.g., encode and modulate) the data for the UE 120 based at least in part on the MCS selected for the UE 120, and provide data symbols for the UE 120. The transmit processor 220 may process system information (e.g., for semi-static resource allocation information (SRPI)) and control information (e.g., CQI requests, grants, and / or upper layer signaling), and provide overhead symbols and control symbols. The transmit processor 220 may generate reference symbols for reference signals (e.g., cell-specific reference signals (CRS) or demodulation reference signals (DMRS)) and synchronization signals (e.g., primary synchronization signals (PSS) or secondary synchronization signals (SSS)). The transmit (TX) multiple-input multiple-output (MIMO) processor 230 may perform spatial processing (e.g., pre-coding) on data symbols, control symbols, overhead symbols, and / or reference symbols, where applicable, and may provide a set of output symbol streams (e.g., T output symbol streams) to a corresponding set of modems 232 (e.g., T modems) (shown as modems 232a to 232t). For example, each output symbol stream may be provided to a modulator component (shown as MOD) of the modem 232. Each modem 232 may process a corresponding output symbol stream (e.g., for OFDM) using a corresponding modulator component to obtain an output sample stream. Each modem 232 may also process (e.g., convert to analog, amplify, filter, and / or up-convert) the output sample stream using a corresponding modulator component to obtain a downlink signal. The modems 232a to 232t may transmit a set of downlink signals (e.g., T downlink signals) via a corresponding set of antennas 234 (e.g., T antennas) (shown as antennas 234a to 234t).
[0048] At the UE 120, a set of antennas 252 (shown as antennas 252a to 252r) may receive downlink signals from the base station 110 and / or other base stations 110, and may provide a set of received signals (e.g., R received signals) to a set of modems 254 (e.g., R modems) (shown as modems 254a to 254r). For example, each received signal may be provided to a demodulator component (shown as DEMOD) of the modem 254. Each modem 254 may use a corresponding demodulator component to condition (e.g., filter, amplify, downconvert, and / or digitize) the received signal to obtain input samples. Each modem 254 may use a demodulator component to further process the input samples (e.g., for OFDM) to obtain received symbols. A MIMO detector 256 may obtain received symbols from the modem 254, may perform MIMO detection on the received symbols where applicable, and may provide detected symbols. The receive processor 258 may process (e.g., demodulate and decode) the detected symbols, may provide decoded data destined for the UE 120 to the data sink 260, and may provide decoded control information and system information to the controller / processor 280. The term "controller / processor" may refer to one or more controllers, one or more processors, or a combination thereof. The channel processor may determine a reference signal received power (RSRP) parameter, a received signal strength indicator (RSSI) parameter, a reference signal received quality (RSRQ) parameter, and / or a CQI parameter, among other things. In some examples, one or more components of the UE 120 may be included in the housing 284.
[0049] The network controller 130 may include a communication unit 294, a controller / processor 290, and a memory 292. The network controller 130 may include, for example, one or more devices in a core network. The network controller 130 may communicate with the base station 110 via the communication unit 294.
[0050] One or more antennas (e.g., antennas 234a to 234t and / or antennas 252a to 252r) may include or be included within one or more antenna panels, one or more antenna groups, one or more sets of antenna elements, and / or one or more antenna arrays, etc. Antenna panels, antenna groups, sets of antenna elements, and / or antenna arrays may include one or more antenna elements (in a single housing or multiple housings), sets of coplanar antenna elements, sets of non-coplanar antenna elements, and / or may be coupled to one or more transmit and / or receive components (such as, Figure 2 One or more antenna elements of one or more components in.
[0051] On the uplink, at the UE 120, a transmit processor 264 may receive and process data from a data source 262 and control information (e.g., for reports including RSRP, RSSI, RSRQ, and / or CQI) from a controller / processor 280. The transmit processor 264 may generate reference symbols for one or more reference signals. The symbols from the transmit processor 264 may be pre-decoded by the TX MIMO processor 266, where applicable, further processed by the modem 254 (e.g., for DFT-s-OFDM or CP-OFDM), and transmitted to the base station 110. In some examples, the modem 254 of the UE 120 may include a modulator and a demodulator. In some examples, the UE 120 includes a transceiver. The transceiver may include any combination of an antenna 252, a modem 254, a MIMO detector 256, a receive processor 258, a transmit processor 264, and / or a TX MIMO processor 266. The transceiver may be used by a processor (eg, controller / processor 280) and memory 282 to perform aspects of any of the methods described herein (eg, with reference to Figures 6 to 13 ).
[0052] At the base station 110, uplink signals from the UE 120 and / or other UEs may be received by the antenna 234, processed by the modem 232 (e.g., a demodulator component of the modem 232 shown as DEMOD), detected by the MIMO detector 236 (if applicable), and further processed by the receive processor 238 to obtain decoded data and control information transmitted by the UE 120. The receive processor 238 may provide the decoded data to the data sink 239 and the decoded control information to the controller / processor 240. The base station 110 may include a communication unit 244 and may communicate with the network controller 130 via the communication unit 244. The base station 110 may include a scheduler 246 to schedule one or more UEs 120 for downlink and / or uplink communications. In some examples, the modem 232 of the base station 110 may include a modulator and a demodulator. In some examples, the base station 110 includes a transceiver. The transceiver may include any combination of antenna 234, modem 232, MIMO detector 236, receive processor 238, transmit processor 220, and / or TX MIMO processor 230. The transceiver may be used by a processor (e.g., controller / processor 240) and memory 242 to perform aspects of any of the methods described herein (e.g., reference 20 to FIG. 1 ). Figures 6 to 13 ).
[0053] The controller / processor 240 of the base station 110, the controller / processor 280 of the UE 120, and / or Figure 2Any other components of the base station 110 may perform one or more techniques associated with a probability-based random access process, as described in more detail elsewhere herein. For example, the controller / processor 240 of the base station 110, the controller / processor 280 of the UE 120, and / or Figure 2 Any other component in can perform or direct e.g. Fig.10 The process of 1000 Fig.11 1100 and / or operations of other processes as described herein. Memory 242 and memory 282 may store data and program codes for base station 110 and UE 120, respectively. In some examples, memory 242 and / or memory 282 may include a non-transitory computer-readable medium storing one or more instructions (e.g., code and / or program code) for wireless communication. For example, one or more instructions, when executed by one or more processors of base station 110 and / or UE 120 (e.g., directly, or after compilation, conversion, and / or interpretation), may cause one or more processors, UE 120, and / or base station 110 to perform or direct, for example, Fig.10 The process of 1000 Fig.11 In some aspects, the network entity described herein is a base station 110, is included in a base station 110, or includes Figure 2 One or more components of base station 110 are shown.
[0054] In some aspects, a UE (e.g., Fig.12 UE 120 and / or device 1200) may include: a component for receiving an initial probability set associated with a first synchronization signal block (SSB) set, the initial probability set indicating an opportunity to use SSBs within the first set for a random access procedure; a component for determining an updated probability set associated with a second SSB set, the updated probability set being based on the initial probability set and indicating an opportunity to use SSBs within the second set for a random access procedure; and / or a component for performing a random access procedure with an SSB selected from the second SSB set. The components for the UE to perform the operations described herein may include, for example, one or more of the following: communication manager 140, antenna 252, modem 254, MIMO detector 256, receive processor 258, transmit processor 264, TX MIMO processor 266, controller / processor 280, or memory 282.
[0055] In some aspects, a network entity (e.g., Fig.13The base station 110, CU 310, DU 330, RU 340 and / or device 1300 of the present invention may include a component for sending an initial probability set associated with a first SBS set, the initial probability set indicating an opportunity to use the SBS in the first set for a random access procedure; and / or for communicating with a UE (e.g., Fig.12 UE 120 and / or device 1200) performs a random access procedure with an SSB selected based at least in part on the initial probability set. In some aspects, the means for a network entity to perform operations described herein may include, for example, one or more of the following: communication manager 150, transmit processor 220, TX MIMO processor 230, modem 232, antenna 234, MIMO detector 236, receive processor 238, controller / processor 240, memory 242, or scheduler 246.
[0056] Although Figure 2 The blocks in the 2000 and 2010 are illustrated as distinct components, but the functionality described above for these blocks may be implemented in a single hardware, software, or combined component or in various combinations of components. For example, the functionality described for the transmit processor 264, the receive processor 258, and / or the TX MIMO processor 266 may be performed by or under the control of the controller / processor 280.
[0057] As indicated above, Figure 2 are provided as examples. Other examples can be found in the Figure 2 Described differently.
[0058] Figure 3 300 is a diagram illustrating a decomposed base station architecture according to the present disclosure. The deployment of a communication system (such as a 5G NR system) may be arranged in a variety of ways with various components or constituent parts. In a 5G NR system or network, a network node, a network entity, a mobility element of a network, a RAN node, a core network node, a network element, or a network equipment (such as a base station (BS, e.g., base station 110) or one or more units (or one or more components) that perform base station functions may be implemented in an aggregated or decomposed architecture. For example, a BS (such as a Node B (NB), an eNB, an NR BS, a 5G NB, an access node (AP), a TRP, a cell, etc.) may be implemented as an aggregated base station (also referred to as a standalone BS or a monolithic BS) or a decomposed base station.
[0059] A converged base station may be configured to utilize a radio protocol stack physically or logically integrated within a single RAN node. A decomposed base station may be configured to utilize a protocol stack physically or logically distributed between two or more units (such as one or more CUs, one or more DUs, or one or more RUs). In some aspects, a CU may be implemented within a RAN node, and one or more DUs may be co-located with the CU, or alternatively, may be geographically or virtually distributed in one or more other RAN nodes. A DU may be implemented to communicate with one or more RUs. Each of a CU, a DU, and a RU may also be implemented as a virtual unit, i.e., a virtual centralized unit (VCU), a virtual distributed unit (VDU), or a virtual radio unit (VRU).
[0060] Base station type operations or network designs may take into account the aggregated nature of base station functionality. For example, a disaggregated base station may be used in an IAB network, an O-RAN (such as a network configuration sponsored by the O-RAN Alliance), or a virtualized radio access network (vRAN, also known as a cloud radio access network (C-RAN)). Decomposition may include distributing functionality across two or more units at various physical locations, as well as virtually distributing functionality of at least one unit, which may enable flexibility in network design. Individual units of a disaggregated base station or disaggregated RAN architecture may be configured for wired or wireless communication with at least one other unit.
[0061] Figure 3 The decomposed base station architecture shown may include one or more CUs 310 that may communicate directly with a core network 320 via a backhaul link, or indirectly with a core network 320 through one or more decomposed base station units, such as a near-RT RIC 325 via an E2 link, or a non-RT RIC 315 associated with a service management and orchestration (SMO) framework 305, or both. The CU 310 may communicate with one or more DUs 330 via respective midhaul links, such as an F1 interface. The DU 330 may communicate with one or more RUs 340 via respective fronthaul links. The RU 340 may communicate with respective UEs 120 via one or more radio frequency (RF) access links. In some implementations, a UE 120 may be served simultaneously by multiple RUs 340.
[0062] Each of these units (e.g., CU 310, DU 330, RU 340), as well as near-RT RIC 325, non-RTRIC 315, and SMO framework 305 may include one or more interfaces, or be coupled to one or more interfaces configured to receive or send signals, data, or information (collectively referred to as signals) via a wired or wireless transmission medium. Each of these units or an associated processor or controller that provides instructions to the communication interface of these units may be configured to communicate with one or more of the other units via a transmission medium. For example, these units may include a wired interface that is configured to receive or send signals to one or more of the other units via a wired transmission medium. Additionally, these units may include a wireless interface that may include a receiver, a transmitter, or a transceiver (such as an RF transceiver) that is configured to receive or send signals, or both, to one or more of the other units on a wireless transmission medium.
[0063] In some aspects, CU 310 may host one or more higher layer control functions. Such control functions may include radio resource control (RRC), packet data convergence protocol (PDCP), service data adaptation protocol (SDAP), etc. Each control function may be implemented as having an interface configured to communicate signals with other control functions hosted by CU 310. CU310 may be configured to handle user plane functions (e.g., central unit-user plane (CU-UP)), control plane functions (e.g., central unit-control plane (CU-CP)), or a combination thereof. In some specific implementations, CU 310 may be logically divided into one or more CU-UP units and one or more CU-CP units. When implemented in an O-RAN configuration, the CU-UP unit may communicate bidirectionally with the CU-CP unit via an interface (such as an E1 interface). As needed, CU 310 may be implemented to communicate with DU 330 for network control and signaling.
[0064] DU 330 may correspond to a logical unit that includes one or more base station functions for controlling the operation of one or more RU 340. In some aspects, DU 330 may host one or more of a radio link control (RLC) layer, a medium access control (MAC) layer, and one or more high physical (PHY) layers (such as modules for forward error correction (FEC) encoding and decoding, scrambling, modulation and demodulation, etc.) depending at least in part on a functional split such as defined by 3GPP. In some aspects, DU 330 may further host one or more low PHY layers. Each layer (or module) may be implemented with an interface that is configured to communicate signals with other layers (and modules) hosted by DU 330 or with control functions hosted by CU 310.
[0065] Lower layer functionality may be implemented by one or more RUs 340. In some deployments, a RU 340 controlled by a DU 330 may correspond to a logical node that hosts RF processing functions or low PHY layer functions (such as performing Fast Fourier Transform (FFT), Inverse FFT (iFFT), digital beamforming, physical random access channel (PRACH) extraction and filtering, etc.), or both, based at least in part on a functional split (such as a lower layer functional split). In such an architecture, the RU 340 may be implemented to handle over-the-air (OTA) communications with one or more UEs 120. In some implementations, real-time and non-real-time aspects of control plane and user plane communications with the RU 340 may be controlled by the corresponding DU 330. In some scenarios, this configuration may enable the implementation of the DU 330 and the CU 310 in a cloud-based RAN architecture (such as a vRAN architecture).
[0066] The SMO framework 305 may be configured to support RAN deployment and provisioning of non-virtualized network elements and virtualized network elements. For non-virtualized network elements, the SMO framework 305 may be configured to support the deployment of dedicated physical resources for RAN coverage requirements, which may be managed via an operation and maintenance interface (such as an O1 interface). For virtualized network elements, the SMO framework 305 may be configured to interact with a cloud computing platform (such as an open cloud (O-Cloud) 390) to perform network element lifecycle management (such as instantiating virtualized network elements) via a cloud computing platform interface (such as an O2 interface). Such virtualized network elements may include, but are not limited to, CU 310, DU 330, RU 340, and near-RT RIC 325. In some specific implementations, the SMO framework 305 may communicate with hardware aspects of the 4G RAN (such as an open eNB (O-eNB) 311) via the O1 interface. Additionally, in some specific implementations, the SMO framework 305 may communicate directly with one or more RUs 340 via the O1 interface. The SMO framework 305 may also include a non-RT RIC 315 configured to support the functionality of the SMO framework 305 .
[0067] The non-RT RIC 315 may be configured to include logic functions that enable non-real-time control and optimization of RAN elements and resources, artificial intelligence / machine learning (AI / ML) workflows including model training and updating, or policy-based guidance of applications / features in the near-RT RIC 325. The non-RT RIC 315 may be coupled to or in communication with the near-RT RIC 325 (such as via an A1 interface). The near-RT RIC 325 may be configured to include logic functions that enable near-real-time control and optimization of RAN elements and resources via data collection and actions through an interface (such as via an E2 interface) that connects one or more CUs 310, one or more DUs 330, or both, and the O-eNB with the near-RT RIC 325.
[0068] In some implementations, in order to generate an AI / ML model to be deployed in the near-RT RIC 325, the non-RT RIC 315 may receive parameters or external enrichment information from an external server. Such information may be utilized by the near-RT RIC 325 and may be received from a non-network data source or from a network function at the SMO framework 305 or the non-RT RIC 315. In some examples, the non-RT RIC 315 or the near-RT RIC 325 may be configured to tune RAN behavior or performance. For example, the non-RT RIC 315 may monitor long-term trends and patterns of performance and employ AI / ML models to perform corrective actions through the SMO framework 305 (such as via reconfiguration of O1) or via creation of RAN management policies (such as A1 policies).
[0069] As indicated above, Figure 3 are provided as examples. Other examples can be found in the Figure 3 Described differently.
[0070] Figure 4 4 is a diagram illustrating an example 400 of a four-step random access procedure according to the present disclosure. Figure 4 As shown, the network entity 401 (eg, the RU 340 and / or a device controlling the RU 340 such as the CU 310 and / or the DU 330) and the UE 120 may communicate with each other to perform a four-step random access procedure.
[0071] As shown by reference numeral 405, the network entity 401 may send one or more SSBs and random access configuration information, and the UE 120 may receive the one or more SSBs and the random access configuration information. In some aspects, the random access configuration information may be sent and / or indicated by system information (e.g., one or more system information blocks (SIBs)) and / or SSBs, such as for contention-based random access. Additionally or alternatively, the random access configuration information may be sent in an RRC message and / or a physical downlink control channel (PDCCH) command message that triggers a random access channel (RACH) procedure, such as for contention-free random access. The random access configuration information may include one or more parameters to be used in the random access procedure, such as one or more parameters for sending a random access message (RAM) and / or one or more parameters for receiving a random access response (RAR).
[0072] As shown by reference numeral 410, UE 120 may send a RAM, which may include a preamble (sometimes referred to as a random access preamble, a physical RACH (PRACH) preamble, or a RAM preamble). The message including the preamble may be referred to as message 1, msg1, MSG1, a first message, or an initial message in the four-step random access procedure. The random access message may include a random access preamble identifier.
[0073] Some techniques and apparatus described herein enable UE 120 to use probability to select an SSB for transmitting a RAM. For example, UE 120 may receive a priori probabilities from network entity 401, derive a posteriori probabilities (e.g., using a model), and select an SSB based on the a posteriori probabilities. Selecting an SSB includes initiating a random access procedure with network entity 401 using a random access opportunity (RO) and a random access preamble associated with the selected SSB.
[0074] As shown by reference numeral 415, the network entity 401 may send a RAR as a response to the preamble. The message including the RAR may be referred to as message 2, msg2, MSG2, or a second message in the four-step random access procedure. In some aspects, the RAR may indicate a detected random access preamble identifier (e.g., received from the UE 120 in msg1). Additionally or alternatively, the RAR may indicate a resource allocation to be used by the UE 120 to send message 3 (msg3).
[0075] In some aspects, as part of the second step of the four-step random access procedure, the network entity 401 may send a PDCCH communication for the RAR. The PDCCH communication may schedule a physical downlink shared channel (PDSCH) communication including the RAR. For example, the PDCCH communication may indicate a resource allocation for the PDSCH communication. Also as part of the second step of the four-step random access procedure, the network entity 401 may send a PDSCH communication for the RAR as scheduled by the PDCCH communication. The RAR may be included in a MAC protocol data unit (PDU) of the PDSCH communication.
[0076] As shown by reference numeral 420, UE 120 may send an RRC connection request message. The RRC connection request message may be referred to as message 3, msg3, MSG3, or a third message of the four-step random access procedure. In some aspects, the RRC connection request may include a UE identifier, uplink control information (UCI), and / or a physical uplink shared channel (PUSCH) communication (e.g., an RRC connection request).
[0077] As shown by reference numeral 425, the network entity 401 may send an RRC connection establishment message. The RRC connection establishment message may be referred to as message 4, msg4, MSG4, or a fourth message of the four-step random access procedure. In some aspects, the RRC connection establishment message may include a detected UE identifier, a timing advance value, and / or contention resolution information. As shown by reference numeral 430, if the UE 120 successfully receives the RRC connection establishment message, the UE 120 may send a hybrid automatic repeat request (HARQ) acknowledgement (ACK).
[0078] As indicated above, Figure 4 are provided as examples. Other examples can be found in the Figure 4 Described differently.
[0079] Figure 5 5 is a diagram illustrating an example 500 of a two-step random access procedure according to the present disclosure. Figure 5 As shown, network entity 401 and UE 120 may communicate with each other to perform a two-step random access procedure.
[0080] As shown by reference numeral 505, the network entity 401 may send one or more SSBs and random access configuration information, and the UE 120 may receive one or more SSBs and random access configuration information. In some aspects, the random access configuration information may be transmitted in system information (e.g., one or more SIBs) and / or SSBs and / or indicated by the system information and / or SSBs, such as for contention-based random access. Additionally or alternatively, the random access configuration information may be sent in an RRC message and / or a PDCCH command message that triggers a RACH procedure, such as for contention-free random access. The random access configuration information may include one or more parameters to be used in a two-step random access procedure, such as one or more parameters for sending a RAM and / or a RAR for receiving a RAM, and the like.
[0081] As shown in reference numeral 510, UE 120 may send a RAM preamble, and network entity 401 may receive the RAM preamble. As shown in reference numeral 515, UE 120 may send a RAM payload, and network entity 401 may receive the RAM payload. As shown, as part of the initial (or first) step of the two-step random access process, UE 120 may send a RAM preamble and a RAM payload to network entity 401. In some aspects, RAM may be referred to as message A, msgA, a first message, or an initial message in the two-step random access process. In addition, in some aspects, the RAM preamble may be referred to as a message A preamble, a msgA preamble, a preamble, or a physical random access channel (PRACH) preamble, and the RAM payload may be referred to as a message A payload, a msgA payload, or a payload. In some aspects, RAM may include some or all of the contents of message 1 (msg1) and message 3 (msg3) of the four-step random access process described in more detail elsewhere herein. For example, the RAM preamble may include some or all of the contents of message 1 (e.g., the PRACH preamble), and the RAM payload may include some or all of the contents of message 3 (e.g., the UE identifier, UCI, and / or PUSCH transmission).
[0082] Some techniques and apparatus described herein enable UE 120 to use probability to select an SSB for transmitting a RAM. For example, UE 120 may receive a priori probabilities from network entity 401, derive a posteriori probabilities (e.g., using a model), and select an SSB based on the a posteriori probabilities. Selecting an SSB includes initiating a random access procedure with network entity 401 using an RO and a random access preamble associated with the selected SSB.
[0083] As indicated by reference numeral 520, the network entity 401 may receive the RAM preamble transmitted by the UE 120. If the network entity 401 successfully receives and decodes the RAM preamble, the network entity 401 may then receive and decode the RAM payload.
[0084] As shown by reference numeral 525, the network entity 401 may send a RAR (sometimes referred to as a RAR message). As shown, the network entity 401 may send a RAR message as part of the second step of the two-step random access procedure. In some aspects, the RAR message may be referred to as message B, msgB, or a second message in the two-step random access procedure. The RAR message may include some or all of the contents of message 2 (msg2) and message 4 (msg4) of the four-step random access procedure. For example, the RAR message may include a detected PRACH preamble identifier, a detected UE identifier, a timing advance value, and / or contention resolution information.
[0085] As shown by reference numeral 530, as part of the second step of the two-step random access procedure, the network entity 401 may send a PDCCH communication for the RAR. The PDCCH communication may schedule a PDSCH communication including the RAR. For example, the PDCCH communication may indicate a resource allocation for the PDSCH communication (e.g., in downlink control information (DCI)).
[0086] As part of the second step of the two-step random access procedure, the network entity 401 may send a PDSCH communication for the RAR as scheduled by the PDCCH communication, as shown by reference numeral 535. The RAR may be included in the MAC PDU of the PDSCH communication. As shown by reference numeral 540, if the UE 120 successfully receives the RAR, the UE 120 may send a HARQ ACK.
[0087] As indicated above, Figure 5 are provided as examples. Other examples can be found in the Figure 5 Described differently.
[0088] Some techniques and apparatuses described herein enable a UE (e.g., Fig.12 UE 120 and / or apparatus 1200) can apply the probability to select the SSB to be used for the random access procedure. For example, a network entity (e.g., Fig.13The network entity 401, base station 110, CU 310, DU 330, RU 340 and / or device 1300 of the present invention may provide the a priori probability to UE 120, so that UE 120 determines the a posteriori probability (e.g., using a model) and selects an SSB based on the a posteriori probability. Therefore, the delay before UE 120 establishes a RACH with network entity 401 is reduced. Additionally, UE 120 avoids selecting an SSB that is unlikely to result in a successful random access procedure, which saves power and processing resources that would otherwise be consumed by one or more failed random access procedures.
[0089] Figure 6 6 is a diagram illustrating an example 600 associated with a probability-based random access procedure according to the present disclosure. Figure 6 As shown, example 600 includes a first SSB set 601. As used herein, "SSB" may refer to a block that carries information used for initial network acquisition and synchronization, such as a primary synchronization signal (PSS), a secondary synchronization signal (SSS), a physical broadcast channel (PBCH), and a PBCH DMRS. The PBCH may carry a master information block (MIB) that includes information used by a UE (e.g., UE 120) to access a network via a network entity (e.g., network entity 401, such as RU 340 and / or a device that controls RU 340, such as CU 310 and / or DU 330). For example, the MIB includes frequency and timing information to allow UE 120 to connect to a cell that includes network entity 401. Therefore, SSBs are sometimes referred to as synchronization signal / PBCH (SS / PBCH) blocks.
[0090] The first SSB set 601 may include all SSBs broadcast by the network. Figure 6 As shown, the first SSB set 601 may include some (but not all) of the SSBs broadcast by the network. In some aspects, the UE 120 may select one or more SSBs to include in the first SSB set 601. For example, the UE 120 may perform measurements (e.g., RSRP measurements and / or other similar layer 1 (L1) measurements) and select one or more SSBs associated with the highest measurements to include in the first SSB set 601. In example 600, the SSB associated with index 8 may be the SSB with the highest RSRP. Additionally or alternatively, the UE 120 may use the selected SSB to decode the MIB (and / or monitor SIB1 based on the decoded MIB) and include the selected SSB in the first SSB set 601. In example 600, the SSB associated with index 11 may be an SSB used to decode system information (e.g., MIB and / or SIB1).
[0091] Additionally or alternatively, the network entity 401 may indicate that one or more SSBs are included in the first SSB set 601. For example, the network entity 401 may indicate that one or more SSBs are included in the first SSB set 601 in the MIB, in Remaining Minimum System Information (RMSI) (e.g., included in an initial SIB also referred to as SIB1), and / or in Other System Information (OSI) (e.g., included in subsequent SIBs such as SIB2, SIB3, etc.).
[0092] like Figure 6 As further shown, the first SSB set 601 may be associated with an initial probability set 603 indicating opportunities for using SSBs within the first SSB set 601 for a random access procedure. The initial probability set 603 may be a priori probabilities received by the UE 120 from the network entity 401. For example, the network entity 401 may indicate the initial probability set 603 in the MIB, in the RMSI (e.g., included in an initial SIB also referred to as SIB1), and / or in the OSI (e.g., included in subsequent SIBs such as SIB2, SIB3, etc.). For example, the network entity 401 may track historical information associated with successful random access procedures for UEs within the cell and derive the a priori probabilities based on which SBSs were used in the successful random access procedures. The historical information may be limited by a time window (e.g., only within the previous hour, only within the previous half hour, etc.). Additionally, in some aspects, network entity 401 may parse historical information by geographic location such that the a priori probabilities differ depending on the location of UE 120 (e.g., network entity 401 may associate different a priori probabilities with different SSBs, as described below, such that UE 120 is likely to select an SSB directed toward UE 120 in order to receive the a priori probabilities). Additionally or alternatively, network entity 401 may parse historical information by weather and / or other environmental information such that the a priori probabilities differ depending on current weather patterns in the cell.
[0093] Using the initial probability set 603, the UE 120 may apply the model 605 to determine an updated probability set 607 associated with the second SSB set 609. The updated probability set 607 may be a posteriori probabilities derived by the UE 120. In some aspects, the UE 120 may apply the model 605 to select an SSB for performing a first random access procedure from the second SSB set 609. Alternatively, the UE 120 may apply the model 605 after a previous random access procedure (e.g., using an initial SSB selected based on a signal strength associated with the initial SSB, such as an RSRP measurement) has failed.
[0094] The second SSB set 609 may be the same as the first SSB set 601. For example, the UE 120 may use a stored (and / or otherwise preconfigured) rule to use the first SSB set 601 as the second SSB set 609. Figure 6 As shown, the second SSB set 609 may be a subset of the first SSB set 601. For example, the UE 120 may use a stored (and / or otherwise preconfigured) threshold to determine which SSBs in the first SSB set 601 are not included in the second SSB set 609. In one example, the threshold may be a quantity threshold, such that the quantity of SSBs included in the second SSB set 609 satisfies the quantity threshold. In another example, the threshold may be a probability threshold, such that each SSB included in the second SSB set 609 is associated with a posterior probability of satisfying the probability threshold. Relatedly, the model 605 may determine which SSBs are to be included in the second SSB set 609 and the updated probability set 607.
[0095] Alternatively, the second SSB set 609 may include all SSBs broadcast by the network. For example, the UE 120 may use stored (and / or otherwise preconfigured) rules to use all SSBs broadcast by the network as the second SSB set 609. Alternatively, the UE 120 may receive an indication of the SSBs to be included in the second SSB set 609 from the network entity 401. For example, the network entity 401 may indicate the second SSB set 609 in the MIB, in the RMSI (e.g., included in an initial SIB also referred to as SIB1), and / or in the OSI (e.g., included in subsequent SIBs such as SIB2, SIB3, etc.).
[0096] The model 605 may include an analytical model (e.g., a Bayesian model that updates the initial set of probabilities 603 based on subsequent measurements by the UE 120). Additionally or alternatively, the model 605 may include a machine learning model (e.g., a neural network that updates the initial set of probabilities 603 based on an input). For initial access, the machine learning model may be programmed (and / or otherwise preconfigured) into a memory of the UE 120. However, when determining which SSB to use for a secondary cell group (SCG) configuration, the UE 120 may receive an indication of the machine learning model to be applied (or a payload including the machine learning model) from the network entity 401. As used herein, a "primary cell group" or "MCG" may include at least a primary cell (PCell) that manages a control plane for the UE 120. In some aspects, the PCell may also manage a data plane for the UE 120 (e.g., in combination with or as a backup to a data plane managed by a primary secondary cell (PSCell)). As used herein, a "secondary cell group" or "SCG" may include at least one secondary cell (SCell), such as a PSCell, that manages a data plane for UE 120. UE 120 may be configured for carrier aggregation with a SCell and a PCell.
[0097] Model 605 may accept as input one or more of the following: an index associated with an initial SSB (e.g., associated with the highest signal strength measurement and / or used to decode system information), and initial probability set 603; measurements associated with first SSB set 601, second SSB set 609, and / or all SSBs broadcast by the network (e.g., RSRP); or one or more indices associated with one or more SSBs used in one or more previously unsuccessful random access procedures (if any). Thus, model 605 may output one or more indices associated with one or more SSBs included in second SSB set 609, updated probability set 607, or a combination thereof.
[0098] In some aspects, the model 605 may be cell-common. As used herein, "cell-common" refers to a model for a cell that includes the network entity 401. For example, the model 605 may be applicable regardless of which SSB the UE 120 uses as an initial SSB (e.g., to decode system information). Alternatively, the model 605 may be selected based on which SSB the UE 120 uses as an initial SSB (e.g., to decode system information).
[0099] Therefore, UE 120 may perform a random access procedure with an SSB selected from the second SSB set 609. In example 600, UE 120 may select an SSB associated with index 9. Figure 6With the described technique, the UE 120 applies a probability to select an SSB to be used for a random access procedure. Thus, the delay before the UE 120 establishes a RACH with the network entity 401 is reduced. Additionally, the UE 120 avoids selecting an SSB that is unlikely to result in a successful random access procedure, which saves power and processing resources that would otherwise be consumed by one or more failed random access procedures.
[0100] As indicated above, Figure 6 are provided as examples. Other examples can be found in the Figure 6 Described differently.
[0101] Figure 7 is a diagram illustrating an example 700 associated with a probability-based random access procedure according to the present disclosure. Figure 7 As shown, the network entity 401 (eg, RU 340 and / or a device controlling RU 340 such as CU 310 and / or DU 330) and the UE 120 may communicate with each other (eg, over a wireless network such as Figure 1 wireless network 100).
[0102] As shown by reference numeral 705, the network entity 401 may transmit (e.g., directly, or via the RU 340 controlled by the network entity 401) one or more SSBs broadcast by a wireless network (e.g., including the network entity 401 therein), and the UE 120 may receive the one or more SSBs. Accordingly, the UE 120 may select an initial SSB to decode the MIB associated with the network entity 401. In addition, the UE 120 may perform measurements (e.g., RSRP measurements) of the SSBs broadcast by the wireless network.
[0103] As indicated by reference numeral 710, network entity 401 may send (e.g., directly, or via RU 340 controlled by network entity 401) an initial probability set associated with a first SBS set and UE 120 may receive the initial probability set (e.g., as combined with Figure 6 For example, UE 120 may receive an initial set of probabilities from network entity 401 in RMSI and / or OSI.
[0104] In some aspects, the initial probability set is cell-common (e.g., across cells that include network entity 401). For example, the initial probability set is the same regardless of which SSB UE 120 uses as the initial SSB (e.g., to decode system information). Thus, UE 120 does not expect different initial probability sets based on which SSB will be used to monitor RMSI and / or OSI. Alternatively, the initial probability set may be specific to the initial SSB. For example, network entity 401 may include different initial probability sets in different RMSI and / or OSI. Thus, which initial probability set is received by UE 120 depends on which SSB will be used to monitor RMSI and / or OSI.
[0105] In some aspects, the initial set of probabilities includes quantized values (e.g., rounded to the nearest 5%, as in Figure 6 As shown in Example 600 of ). Alternatively, the initial probability set includes an ascending or descending order of probabilities associated with the first SSB set. Thus, UE 120 may determine (e.g., based on a preconfigured rule and / or as indicated in the MIB, RMSI, and / or OSI) the quantization values associated with the first SSB set based on the order (whether ascending or descending). For example, the initial probability set may arrange the SSBs in descending order as SSB#1, SSB#3, and SSB#9, such that UE 120 associates 50% of the quantization values with SSB#1, 30% of the quantization values with SSB#3, and 20% of the quantization values with SSB#9. Other preconfigured associations may be used. Alternatively, the initial probability set includes equal probabilities for the SSBs included in the first set. For example, network entity 401 may indicate the first SSB set (e.g., using a bitmap and / or another similar data structure), and UE 120 may assume that each SSB indicated as being included in the first set is associated with an equal probability. In one example, network entity 401 may indicate that the first set includes SSB#5 and SSB#11, so UE 120 associates a 50% probability with each of SSB#5 and SSB#11. In another example, network entity 401 may indicate that the first set includes SSB#0, SSB#5, SSB#9, and SSB#11, so UE 120 associates a 25% probability with each of SSB#0, SSB#5, SSB#9, and SSB#11.
[0106] In some aspects, the network entity 401 may indicate a quantization scheme (e.g., whether the initial probability set includes quantized values, ascending or descending order, or equal probability). For example, the network entity 401 may use the MIB, RMSI, and / or OSI to indicate the quantization scheme. In some aspects, different quantization schemes may be used for different MIBs, RMSIs, and / or OSIs. Thus, which quantization scheme to use for the initial probability set may depend on which SSB the UE 120 uses to monitor the RMSI and / or OSI.
[0107] In some aspects, as indicated by reference numeral 715, the network entity 401 may send (e.g., directly, or via an RU 340 controlled by the network entity 401) a model to be used to derive an updated set of probabilities associated with the second set of SSBs (e.g., as combined with Figure 6 605 described in conjunction with reference numeral 720) and the UE 120 may receive the indication (e.g., as described in conjunction with reference numeral 720). For example, the UE 120 may be programmed with a set of possible models (and / or otherwise preconfigured) such that the network entity 401 indicates a selected model to be used from the set of possible models. In some aspects, the indication may be cell-common (e.g., across cells including the network entity 401). For example, regardless of which SSB the UE 120 uses as an initial SSB (e.g., to decode system information), the selected model may be the same. Thus, the UE 120 does not expect to select different models based on which SSB will be used to monitor RMSI and / or OSI. Alternatively, the indication may be specific to the initial SSB. For example, the network entity 401 may indicate different models to be selected in different RMSIs and / or OSIs. Thus, which model is selected depends on which SSB the UE 120 uses to monitor RMSI and / or OSI.
[0108] Alternatively, the UE 120 may be programmed (and / or otherwise pre-configured) with a single model. Accordingly, the operations described in conjunction with reference numeral 715 may be omitted.
[0109] As shown at reference numeral 720, UE 120 may determine a second SSB set (e.g., as combined with Figure 6 The updated probability set associated with the second SSB set 609 described above (e.g., as combined with Figure 6 For example, UE 120 may apply an analytical model or a machine learning model to determine an updated probability set (e.g., as combined with Figure 6 605 described by the model).
[0110] Thus, as indicated by reference numeral 725a, UE 120 may perform a random access procedure with network entity 401 using an SSB selected from the second SSB set (e.g., directly, or via RU 340 controlled by network entity 401). Alternatively, and as indicated by reference numeral 725b, UE 120 may perform a random access procedure with SCell 701 using an SSB selected from the second SSB set. Thus, during the operations described in conjunction with reference numerals 705, 710, and 715, network entity 401 may use RRC messages instead of MIB, RMSI, and / or OSI.
[0111] By using such as combining Figure 7According to the described technique, the UE 120 applies probability to select the SSB to be used for the random access procedure. Therefore, the delay before the UE 120 establishes a RACH with the network entity 401 is reduced. Additionally, the UE 120 avoids selecting an SSB that is unlikely to result in a successful random access procedure, which saves power and processing resources that would otherwise be consumed by one or more failed random access procedures.
[0112] As indicated above, Figure 7 are provided as examples. Other examples can be found in the Figure 7 Different than described.
[0113] Figure 8 8 is a diagram illustrating an example 800 associated with updating the probability of a random access procedure according to the present disclosure. Figure 8 As shown, the network entity 401 (eg, RU 340 and / or a device controlling RU 340 such as CU 310 and / or DU 330) and the UE 120 may communicate with each other (eg, over a wireless network such as Figure 1 wireless network 100).
[0114] As shown at reference numeral 805, UE 120 may update an initial set of probabilities associated with a first set of SSBs. For example, UE 120 may have received an initial set of probabilities, such as in conjunction with Figure 7 , described with reference number 710. In some aspects, UE 120 may update the initial set of probabilities based on one or more interference measurements associated with one or more SBSs in the first set. For example, UE 120 may determine the RSRP associated with the RO and / or the random access preamble corresponding to the SSB. Thus, when one or more interference measurements associated with the first SSB meet the interference threshold, UE 120 may reduce one or more first probabilities in the initial set and associated with one or more first SSBs in the first set. Similarly, when one or more interference measurements associated with the second SSB fail to meet the interference threshold, UE 120 may increase one or more second probabilities in the initial set and associated with one or more second SSBs in the first set.
[0115] Additionally or alternatively, UE 120 may update the initial set of probabilities based on a location associated with UE 120. For example, UE 120 may use a global navigation satellite system (GNSS) to determine the location of UE 120 and update the initial set of probabilities based on the location. Thus, when the location is associated with a poor condition (e.g., blockage and / or other interference) for a first SSB, UE 120 may reduce one or more first probabilities in the initial set and associated with one or more first SSBs in the first set. Similarly, when the location is associated with a good condition (e.g., clear line of sight) for a second SSB, UE 120 may increase one or more second probabilities in the initial set and associated with one or more second SSBs in the first set.
[0116] When determining which SSB to use for SCG configuration, UE 120 may use a location from the LTE Positioning Protocol (LPP) or a Location Management Function (LMF). Thus, a location associated with UE 120 may be provided by a core network supporting network entity 401.
[0117] UE 120 may update the initial probability set using a formula (e.g., a table or another formula that outputs adjustments to the initial probability set based on interference measurements and / or location). Additionally or alternatively, UE 120 may update the initial probability set using a machine learning model (e.g., a neural network that adjusts the initial probability set based on input). For initial access, the formula and / or machine learning model may be programmed (and / or otherwise preconfigured) into a memory of UE 120. However, when determining which SSB to use for SCG configuration, UE 120 may receive an indication of the formula and / or machine learning model to be applied (or a payload including the formula and / or machine learning model) from network entity 401.
[0118] The machine learning model may accept as input one or more of the following: interference measurements performed by UE 120 (if performed); a location associated with UE 120 (if determined); an index associated with an initial SSB used by UE 120; an initial set of probabilities; or a measurement associated with the first set of SSBs (e.g., RSRP). Thus, the machine learning model may output an adjusted initial set of probabilities.
[0119] In some aspects, the formula and / or machine learning model may be cell-common (e.g., across cells that include network entity 401). For example, the formula and / or machine learning model may be applicable regardless of which SSB UE 120 uses as an initial SSB (e.g., to decode system information). Alternatively, the formula and / or machine learning model may be selected based on which SSB UE 120 uses as an initial SSB (e.g., to decode system information).
[0120] Thus, as indicated by reference numeral 810, UE 120 may determine a second SSB set (e.g., as combined with Figure 6 The updated probability set associated with the second SSB set 609 described above (e.g., as combined with Figure 6 For example, UE 120 may use the adjusted initial probability set to determine an updated probability set (e.g., as combined with Figure 6 605 described by the model).
[0121] Thus, as indicated by reference numeral 815, UE 120 may establish an RRC connection with network entity 401 by performing (e.g., directly, or via RU 340 controlled by network entity 401) a random access procedure using an SSB selected from the second set of SSBs. After establishing the RRC connection with network entity 401, UE 120 may send an adjusted probability set based on the initial probability set and the network entity may receive (e.g., directly, or via RU 340 controlled by network entity 401), as indicated by reference numeral 820. For example, UE 120 may indicate the adjusted probability set using an RRC message (and / or other layer 3 (L3) signaling).
[0122] Additionally or alternatively, and as indicated by reference numeral 825a, the network entity may send (e.g., directly, or via RU 340 controlled by network entity 401) a new initial probability set after performing the random access procedure and UE 120 may receive the new initial probability set. For example, network entity 401 may update the initial probability set (e.g., based on an adjusted probability set received from UE 120 and / or another UE in the cell) and indicate the update to UE 120. The new initial probability set may be indicated in an updated RMSI and / or OSI from network entity 401. Additionally or alternatively, the new initial probability set may be indicated to UE 120 (and other UEs in the cell) in a cell common paging message. Additionally or alternatively, network entity 401 may indicate the new initial probability set in a broadcast RRC message. For example, network entity 401 may send (e.g., directly, or via RU 340 controlled by network entity 401) a group-common DCI to UE 120 (and other UEs within the cell) to schedule a group-common PDSCH carrying a broadcast RRC message. Additionally or alternatively, network entity 401 may indicate a new initial probability set in a UE-specific RRC message. For example, network entity 401 may send (e.g., directly, or via RU 340 controlled by network entity 401) a DCI to UE 120 to schedule a UE-specific PDSCH carrying a UE-specific RRC message.
[0123] Additionally or alternatively, and as indicated by reference numeral 825b, the network entity 401 may send (e.g., directly, or via the RU 340 controlled by the network entity 401) one or more initial probability sets associated with different initial SSBs and the UE 120 may receive the one or more initial probability sets. For example, the initial probability set may be specific to the initial SSB used by the UE 120, and thus the network entity 401 may indicate other initial probability sets associated with other initial SSBs. The UE 120 may use the other initial probability sets for additional RACH procedures and / or beam failure recovery (BFR), where the UE 120 may select a different initial SSB.
[0124] By using the combination Figure 8 According to the described technique, the network entity 401 updates the initial probability used to select the SSB for the random access procedure. Therefore, the accuracy of the initial probability is improved, which increases the probability of a successful random access procedure in the cell, which saves power and processing resources that would otherwise be consumed by one or more failed random access procedures.
[0125] As indicated above, Figure 8 are provided as examples. Other examples can be found in the Figure 8 Described differently.
[0126] Fig. 9 is a diagram illustrating an example 900 associated with concurrent and timer-based random access procedures according to the present disclosure. Fig. 9 As shown, the network entity 401 (eg, RU 340 and / or a device controlling RU 340 such as CU 310 and / or DU 330) and the UE 120 may communicate with each other (eg, over a wireless network such as Figure 1 wireless network 100).
[0127] As shown by reference numeral 905, UE 120 may initiate a timer at the start of the RO. For example, the timer may have a value programmed (and / or otherwise preconfigured) in a memory of UE 120. Additionally or alternatively, the timer may have a value indicated by network entity 401 in the RMSI and / or OSI.
[0128] As indicated by reference numeral 910a, UE 120 may send an initial random access message using an SSB selected from the second SSB set and network entity 401 may receive (e.g., directly, or via RU 340 controlled by network entity 401) the initial random access message (e.g., as combined with Figure 6 and Figure 7 In some aspects, the initial random access message is sent before a timer associated with the RO for the initial random access message expires.
[0129] Alternatively, as indicated by reference numeral 910b, the UE 120 may also use another SSB selected from the second SSB set to send another initial random access message and the network entity 401 may receive (e.g., directly, or via the RU 340 controlled by the network entity 401) the another initial random access message (e.g., as combined with Figure 6 and Figure 7 4 ). Therefore, UE 120 may send multiple initial random access messages concurrently in order to increase the chance of a successful random access procedure with network entity 401. UE 120 may send an amount of initial random access messages that satisfies a threshold (e.g., represented by K). Threshold K may be programmed (and / or otherwise preconfigured) in a memory of UE 120. Additionally or alternatively, threshold K may be indicated by network entity 401 in RMSI and / or OSI.
[0130] As shown by reference numeral 915, the network entity 401 may send (e.g., directly, or via the RU 340 controlled by the network entity 401) a random access response, and the UE 120 may receive the random access response. In aspects where the UE 120 uses a timer, the network entity 401 may send a random access response to an initial random access message. In aspects where the UE 120 concurrently sends multiple initial random access messages, the network entity 401 may send a random access response to a selected initial random access message from the multiple initial random access messages, or may send multiple random access responses. The random access response may be sent in a single RAR window associated with the second SSB set. Thus, the UE 120 saves power and processing resources by monitoring only a single RAR window after sending multiple initial random access messages.
[0131] Thus, as shown at reference numeral 920, UE 120 may send msg3 (eg, when using a combination of Figure 4 4-step random access described in the specification) or uplink message (UL msg) (e.g., when used in conjunction with Figure 5 In the case of a 2-step random access described above) and the network entity 401 may receive (e.g., directly, or via the RU 340 controlled by the network entity 401) the msg3 or the uplink message. In aspects where the network entity 401 sends multiple random access responses, the network entity 401 may use blind decoding (e.g., directly, or by instructing the RU 340 controlled by the network entity 401 to use blind decoding) to receive a subsequent message (msg3 or UL msg) from the UE 120, as shown by reference numeral 925.
[0132] As indicated above, Fig. 9 are provided as examples. Other examples can be found in the Fig. 9Described differently.
[0133] Fig.10 1 is a diagram illustrating an example process 1000 performed, for example, by a UE according to the present disclosure. Example process 1000 is a diagram in which a UE (e.g., UE 120 and / or Fig.12 An example of a device 1200) performing operations associated with a probability-based random access process.
[0134] like Fig.10 As shown, in some aspects, process 1000 may include receiving an initial probability set associated with a first SSB set, the initial probability set indicating opportunities to use SSBs within the first set for a random access procedure (block 1010). Fig.12 The depicted communication manager 140 and / or receiving component 1202) can receive an initial set of probabilities associated with a first set of SBSs indicating opportunities for using SBSs within the first set for a random access procedure, as described herein.
[0135] like Fig.10 As further shown, in some aspects, process 1000 may include determining an updated probability set associated with a second SSB set, the updated probability set being based on the initial probability set and indicating opportunities to use SSBs within the second set for a random access procedure (block 1020). Fig.12 The depicted communication manager 140 and / or determining component 1208) may determine an updated probability set associated with a second set of SSBs that is based on the initial probability set and indicates opportunities to use SSBs within the second set for a random access procedure, as described herein.
[0136] like Fig.10 As further shown, in some aspects, process 1000 may include performing a random access procedure using an SSB selected from a second SSB set (block 1030). Fig.12 The depicted communications manager 140, receiving component 1202, and / or transmitting component 1204) may perform a random access procedure with an SSB selected from a second set of SSBs, as described herein.
[0137] Process 1000 may include additional aspects, such as any single aspect or any combination of aspects described below and / or in conjunction with one or more other processes described elsewhere herein.
[0138] In a first aspect, the probability set is included in the RMSI, OSI, or a combination thereof.
[0139] In a second aspect, either alone or in combination with the first aspect, process 1000 also includes attempting a previous random access process (e.g., using communication manager 140, receiving component 1202, and / or transmitting component 1204) using an initial SSB selected based on a signal strength associated with the initial SSB, such that the first SSB set does not include the initial SSB.
[0140] In a third aspect, alone or in combination with one or more of the first and second aspects, the second SSB set is the first SSB set or is a subset of the first SSB set.
[0141] In a fourth aspect, alone or in combination with one or more of the first to third aspects, the second SSB set is indicated in the RMSI, the OSI, or a combination thereof.
[0142] In a fifth aspect, alone or in combination with one or more of the first to fourth aspects, the updated set of probabilities is determined using an analytical model.
[0143] In a sixth aspect, alone or in combination with one or more of the first to fifth aspects, the updated probability set is determined using a machine learning model.
[0144] In a seventh aspect, either alone or in combination with one or more of aspects one to six, the machine learning model accepts as input at least one of the following: an index associated with an initial SSB associated with a highest signal strength measurement, an initial probability set, a measurement of signal strength associated with a first SSB set, a measurement of signal strength associated with a second SSB set, a measurement of signal strength associated with one or more SSBs not included in the first set or the second set, or one or more indices associated with SSBs used in one or more unsuccessful random access procedures.
[0145] In an eighth aspect, either alone or in combination with one or more of aspects one to seven, the machine learning model outputs an indication of a second SSB set, an indication of an updated probability set, or a combination thereof.
[0146] In a ninth aspect, alone or in combination with one or more of the first to eighth aspects, process 1000 further includes selecting (e.g., using) from a set of possible machine learning models based on an indication in the RMSI, OSI, or a combination thereof. Fig.12 The depicted communications manager 140 and / or selection component 1210) machine learning model.
[0147] In a tenth aspect, either alone or in combination with one or more of aspects 1 to 9, an initial SSB is selected from all SSBs broadcast during initial access, and a machine learning model is applied to all initial SSBs.
[0148] In the eleventh aspect, alone or in combination with one or more of the first to tenth aspects, the machine learning model is indicated by system information associated with an initial SSB, wherein the system information associated with different initial SSBs indicates different machine learning models.
[0149] In a twelfth aspect, alone or in combination with one or more of the first to eleventh aspects, an initial SSB is selected from all SSBs broadcast during initial access, and the initial probability set is the same for all initial SSBs.
[0150] In a thirteenth aspect, alone or in combination with one or more of the first to twelfth aspects, the initial probability set is indicated by system information associated with an initial SSB, wherein the system information associated with different initial SSBs indicates different initial probability sets.
[0151] In a fourteenth aspect, alone or in combination with one or more of the first to thirteenth aspects, the initial probability set includes quantized values associated with a first SSB set.
[0152] In a fifteenth aspect, alone or in combination with one or more of the first to fourteenth aspects, the initial probability set comprises an ascending or descending order of probabilities associated with the first SSB set.
[0153] In a sixteenth aspect, either alone or in combination with one or more of aspects one to fifteen, process 1000 further comprises determining (e.g., using communication manager 140 and / or determination component 1208) a quantization value associated with a first SSB set based on an ascending or descending order.
[0154] In a seventeenth aspect, alone or in combination with one or more of the first to sixteenth aspects, the initial probability set includes equal probabilities for the SSBs included in the first set.
[0155] In an eighteenth aspect, either alone or in combination with one or more of aspects one to seventeen, process 1000 further comprises receiving (e.g., using communications manager 140 and / or receiving component 1202) in at least one of the MIB, RMSI, or OSI an indication of whether the initial probability set includes quantized values, ascending or descending order, or equal probabilities.
[0156] In a nineteenth aspect, either alone or in combination with one or more of the first to eighteenth aspects, an initial SSB is selected from all SSBs broadcast during initial access, and the indication is the same for all initial SSBs.
[0157] In the twentieth aspect, either alone or in combination with one or more of the first to nineteenth aspects, an indication is included in system information associated with an initial SSB, wherein the system information associated with different initial SSBs includes different indications.
[0158] In a twenty-first aspect, alone or in combination with one or more of the first to twentieth aspects, process 1000 also includes adjusting (e.g., using Fig.12 The depicted communications manager 140 and / or adjustment component 1212) adjusts the initial set of probabilities such that the updated set of probabilities is based on the initial set of probabilities after the adjustment.
[0159] In aspect twenty-second, either alone or in combination with one or more of aspects one to twenty-first, interference measurement is associated with one or more random access preambles associated with at least one SSB included in a first SSB set.
[0160] In a twenty-third aspect, alone or in combination with one or more of aspects 1 to 22, the initial set of probabilities is adjusted using a formula indicated in RMSI, OSI, or a combination thereof.
[0161] In a twenty-fourth aspect, alone or in combination with one or more of aspects one to twenty-third, the initial set of probabilities is adjusted using a machine learning model.
[0162] In aspect twenty-fifth, either alone or in combination with one or more of aspects one to twenty-four, process 1000 further comprises selecting (e.g., using communication manager 140 and / or selection component 1210) a machine learning model from a set of possible machine learning models based on indications in RMSI, OSI, or a combination thereof.
[0163] In aspect twenty-six, either alone or in combination with one or more of aspects one to twenty-fifth, the machine learning model accepts as input at least one of: an interference measurement, a location associated with the UE, and an index associated with an initial SSB associated with a highest signal strength measurement, an initial probability set, or a measurement of signal strength associated with a first set of SSBs.
[0164] In aspect twenty-seven, either alone or in combination with one or more of aspects one to twenty-six, the machine learning model outputs an initial set of probabilities after adjustment.
[0165] In aspect twenty-eight, either alone or in combination with one or more of aspects one to twenty-seven, the first SSB set and the second SSB set are associated with a secondary service cell within the SCG, and the initial probability set is indicated in an RRC message associated with the secondary service cell.
[0166] In aspect twenty-ninth, alone or in combination with one or more of aspects one to twenty-eight, performing a random access process includes concurrently sending (e.g., using the communication manager 140 and / or the sending component 1204) multiple initial random access messages using an SSB selected from a second SSB set and at least one additional SSB.
[0167] In a thirtieth aspect, alone or in combination with one or more of the first to twenty-ninth aspects, the amount of the multiple initial random access messages is indicated in the RMSI, the OSI, or a combination thereof.
[0168] In the thirty-first aspect, either alone or in combination with one or more of aspects 1 to 30, process 1000 further includes receiving (e.g., using communication manager 140 and / or receiving component 1202) a RAR within a single RAR window associated with an SSB selected from a second set of SSBs and at least one additional SSB.
[0169] In aspect thirty-second, alone or in combination with one or more of aspects one to thirty-first, performing a random access procedure includes sending (e.g., using the communication manager 140 and / or the sending component 1204) an initial random access message using an SSB selected from a second SSB set based on a timer started at a random access opportunity associated with the SSB.
[0170] In a thirty-third aspect, alone or in combination with one or more of aspects 1 to 32, the timer is indicated in the RMSI, OSI, or a combination thereof.
[0171] In aspect thirty-four, either alone or in combination with one or more of aspects one to thirty-three, process 1000 further comprises sending (e.g., using communication manager 140 and / or sending component 1204) an adjusted probability set based on the initial probability set after performing a random access procedure.
[0172] In a thirty-fifth aspect, either alone or in combination with one or more of aspects one to thirty-four, process 1000 further comprises receiving (e.g., using communications manager 140 and / or receiving component 1202) one or more initial probability sets associated with different initial SSBs.
[0173] In a thirty-sixth aspect, either alone or in combination with one or more of aspects one to thirty-fifth, process 1000 further comprises receiving (e.g., using communication manager 140 and / or receiving component 1202) a new initial probability set after performing a random access procedure.
[0174] In a thirty-seventh aspect, alone or in combination with one or more of the first to thirty-sixth aspects, the new initial probability set is included in a RMSI, an OSI, a cell common paging message, or a combination thereof.
[0175] In a thirty-eighth aspect, either alone or in combination with one or more of aspects one to thirty-seven, a new initial probability set is included in a broadcast RRC message.
[0176] In a thirty-ninth aspect, alone or in combination with one or more of aspects one to thirty-eight, a new initial probability set is included in a UE-specific RRC message.
[0177] although Fig.10 An example block diagram of process 1000 is shown, but in some aspects, process 1000 may include Fig.10 The blocks depicted may be additional blocks, fewer blocks, different blocks, or blocks arranged in a different manner than those depicted. Additionally or alternatively, two or more of the blocks of process 1000 may be performed in parallel.
[0178] Fig.11 1 is a diagram illustrating an example process 1100 performed, for example, by a network entity according to the present disclosure. The example process 1100 is a diagram in which a network entity (eg, network entity 401 and / or Fig.13 An example of a device 1300) performing operations associated with a probability-based random access process.
[0179] like Fig.11 As shown, in some aspects, process 1100 may include sending an initial probability set associated with a first SSB set, the initial probability set indicating opportunities to use SSBs within the first set for a random access procedure (block 1110). For example, a network entity (e.g., using Fig.13 The depicted communication manager 150 and / or transmitting component 1304) can transmit an initial probability set associated with a first SBS set indicating opportunities for utilizing SBSs within the first set for a random access procedure, as described herein.
[0180] like Fig.11 As further shown, in some aspects, process 1100 may include communicating with a UE (e.g., Fig.12 UE 120 and / or apparatus 1200) performs a random access procedure (block 1120) using an SSB selected based at least in part on the initial probability set. For example, a network entity (e.g., using Fig.13 The depicted communications manager 150, transmitting component 1304, and / or receiving component 1302) can perform a random access procedure with a UE using an SSB selected based at least in part on an initial set of probabilities, as described herein.
[0181] Process 1100 may include additional aspects, such as any single aspect or any combination of aspects described below and / or in conjunction with one or more other processes described elsewhere herein.
[0182] In a first aspect, the probability set is included in the RMSI, OSI, or a combination thereof.
[0183] In a second aspect, alone or in combination with the first aspect, process 1100 also includes sending (eg, using communication manager 150 and / or sending component 1304) an indication of a second set of SSBs, wherein the SSB is selected from the second set of SSBs.
[0184] In a third aspect, alone or in combination with one or more of the first and second aspects, the second SSB set is indicated in the RMSI, the OSI, or a combination thereof.
[0185] In a fourth aspect, either alone or in combination with one or more of aspects 1 to 3, process 1100 further comprises sending (e.g., using communications manager 150 and / or sending component 1304) in an RMSI, an OSI, or a combination thereof, an indication of a machine learning model from a set of possible machine learning models, wherein the SSB is selected based at least in part on the machine learning model.
[0186] In a fifth aspect, either alone or in combination with one or more of the first to fourth aspects, an initial SSB is selected from all SSBs broadcast during initial access, and a machine learning model is applied to all initial SSBs.
[0187] In a sixth aspect, either alone or in combination with one or more of aspects 1 to 5, the machine learning model is indicated by system information associated with an initial SSB, wherein the system information associated with different initial SSBs indicates different machine learning models.
[0188] In a seventh aspect, either alone or in combination with one or more of the first to sixth aspects, an initial SSB is selected from all SSBs broadcast during initial access, and the initial probability set is the same for all initial SSBs.
[0189] In an eighth aspect, alone or in combination with one or more of the first to seventh aspects, the initial probability set is indicated by system information associated with an initial SSB, wherein the system information associated with different initial SSBs indicates different initial probability sets.
[0190] In a ninth aspect, alone or in combination with one or more of the first to eighth aspects, the initial probability set includes quantized values associated with a first SSB set.
[0191] In a tenth aspect, alone or in combination with one or more of the first to ninth aspects, the initial probability set comprises an ascending or descending order of probabilities associated with the first SSB set.
[0192] In an eleventh aspect, alone or in combination with one or more of the first to tenth aspects, the initial probability set includes equal probabilities for the SSBs included in the first set.
[0193] In a twelfth aspect, either alone or in combination with one or more of aspects one to eleven, process 1100 further comprises sending (e.g., using communications manager 150 and / or sending component 1304) in at least one of the MIB, RMSI, or OSI an indication of whether the initial probability set includes quantized values, ascending or descending order, or equal probabilities.
[0194] In a thirteenth aspect, alone or in combination with one or more of the first to twelfth aspects, an initial SSB is selected from all SSBs broadcast during initial access, and the indication is the same for all initial SSBs.
[0195] In a fourteenth aspect, either alone or in combination with one or more of the first to thirteenth aspects, an indication is included in system information associated with an initial SSB, wherein the system information associated with different initial SSBs includes different indications.
[0196] In a fifteenth aspect, either alone or in combination with one or more of aspects one to fourteen, process 1100 further comprises sending (e.g., using communication manager 150 and / or sending component 1304) an indication of a formula in RMSI, OSI, or a combination thereof, wherein the initial set of probabilities is adjusted based on the formula.
[0197] In a sixteenth aspect, either alone or in combination with one or more of aspects one to fifteen, process 1100 further comprises sending (e.g., using communications manager 150 and / or sending component 1304) in an RMSI, an OSI, or a combination thereof, an indication of a machine learning model from a set of possible machine learning models, wherein the initial set of probabilities is adjusted based on the machine learning model.
[0198] In a seventeenth aspect, either alone or in combination with one or more of the first to sixteenth aspects, the first SSB set is associated with a secondary serving cell within the SCG, and the initial probability set is indicated in an RRC message associated with the secondary serving cell.
[0199] In an eighteenth aspect, either alone or in combination with one or more of aspects one to seventeen, performing a random access process includes concurrently receiving (e.g., using the communication manager 150 and / or receiving component 1302) multiple initial random access messages using an SSB selected at least in part based on an initial probability set and at least one additional SSB.
[0200] In a nineteenth aspect, alone or in combination with one or more of the first to eighteenth aspects, the amount of the multiple initial random access messages is indicated in the RMSI, the OSI, or a combination thereof.
[0201] In the twentieth aspect, either alone or in combination with one or more of aspects one through nineteen, process 1100 further comprises sending (e.g., using communication manager 150 and / or sending component 1304) a RAR within a single RAR window associated with an SSB selected at least in part based on an initial probability set and at least one additional SSB.
[0202] In a twenty-first aspect, either alone or in combination with one or more of aspects one to twentieth, process 1100 includes sending (e.g., using communication manager 150 and / or sending component 1304) multiple RARs and receiving (e.g., using communication manager 150 and / or receiving component 1302) a subsequent message using blind decoding in response to one of the multiple RARs.
[0203] In aspect twenty-second, alone or in combination with one or more of aspects one to twenty-first, performing a random access procedure includes receiving (e.g., using the communication manager 150 and / or receiving component 1302) an initial random access message using an SSB selected at least in part based on an initial probability set based on a timer started at a random access opportunity associated with the SSB.
[0204] In a twenty-third aspect, alone or in combination with one or more of the first to twenty-second aspects, the timer is indicated in the RMSI, the OSI, or a combination thereof.
[0205] In a twenty-fourth aspect, either alone or in combination with one or more of aspects one to twenty-third, process 1100 further comprises receiving (e.g., using communication manager 150 and / or receiving component 1302) an adjusted probability set based on the initial probability set after performing a random access procedure.
[0206] In a twenty-fifth aspect, either alone or in combination with one or more of aspects one to twenty-four, process 1100 further comprises sending (e.g., using communication manager 150 and / or sending component 1304) one or more initial probability sets associated with different initial SSBs.
[0207] In a twenty-sixth aspect, either alone or in combination with one or more of aspects 1 to 25, process 1100 further comprises sending (eg, using communication manager 150 and / or sending component 1304) a new initial probability set after performing a random access procedure.
[0208] In a twenty-seventh aspect, alone or in combination with one or more of the first to twenty-sixth aspects, the new initial probability set is included in a RMSI, an OSI, a cell common paging message, or a combination thereof.
[0209] In a twenty-eighth aspect, alone or in combination with one or more of the first to twenty-seventh aspects, a new initial probability set is included in a broadcast RRC message.
[0210] In a twenty-ninth aspect, alone or in combination with one or more of the first to twenty-eighth aspects, a new initial probability set is included in a UE-specific RRC message.
[0211] although Fig.11 Example blocks of process 1100 are shown, but in some aspects, process 1100 may include Fig.11 The blocks depicted may be additional blocks, fewer blocks, different blocks, or blocks arranged in a different manner than those depicted. Additionally or alternatively, two or more of the blocks of process 1100 may be performed in parallel.
[0212] Fig.121 is a diagram of an example apparatus 1200 for wireless communication. Apparatus 1200 may be a UE, or a UE may include apparatus 1200. In some aspects, apparatus 1200 includes a receiving component 1202 and a sending component 1204, which may communicate with each other (e.g., via one or more buses and / or one or more other components). As shown, apparatus 1200 may communicate with another apparatus 1206 (such as a UE, a base station, or another wireless communication device) using receiving component 1202 and sending component 1204. As further shown, apparatus 1200 may include a communication manager 140. Communication manager 140 may include one or more of a determining component 1208, a selecting component 1210, and / or an adjusting component 1212, among others.
[0213] In some aspects, the apparatus 1200 may be configured to perform Figures 6 to 9 Additionally or alternatively, the apparatus 1200 may be configured to perform one or more of the processes described herein (such as Fig.10 In some aspects, Fig.12 The device 1200 and / or one or more components shown may include a combination of Figure 2 Additionally or alternatively, Fig.12 One or more of the components shown may be combined with Figure 2 Additionally or alternatively, one or more components in the component set may be implemented at least in part as software stored in a memory. For example, a component (or a portion of a component) may be implemented as instructions or codes stored in a non-transitory computer-readable medium and may be executed by a controller or processor to perform the function or operation of the component.
[0214] The receiving component 1202 may receive communications, such as reference signals, control information, data communications, or combinations thereof, from the device 1206. The receiving component 1202 may provide the received communications to one or more other components of the device 1200. In some aspects, the receiving component 1202 may perform signal processing (such as filtering, amplification, demodulation, analog-to-digital conversion, demultiplexing, deinterleaving, demapping, equalization, interference cancellation, or decoding, etc.) on the received communications and may provide the processed signals to one or more other components of the device 1200. In some aspects, the receiving component 1202 may include combining Figure 2 One or more antennas, modems, modulators, MIMO detectors, receive processors, controllers / processors, memories, or combinations thereof of a described UE.
[0215] The transmitting component 1204 may transmit communications, such as reference signals, control information, data communications, or combinations thereof, to the device 1206. In some aspects, one or more other components of the device 1200 may generate communications and may provide the generated communications to the transmitting component 1204 for transmission to the device 1206. In some aspects, the transmitting component 1204 may perform signal processing (such as filtering, amplification, modulation, digital-to-analog conversion, multiplexing, interleaving, mapping, or encoding, etc.) on the generated communications and may transmit the processed signals to the device 1206. In some aspects, the transmitting component 1204 may include combining Figure 2 One or more antennas, modems, modulators, transmit MIMO processors, transmit processors, controllers / processors, memories, or combinations thereof of the described UE. In some aspects, the transmit component 1204 can be co-located with the receive component 1202 in a transceiver.
[0216] In some aspects, receiving component 1202 may receive (e.g., from device 1206, such as a network entity) an initial probability set associated with a first SSB set, the initial probability set indicating opportunities for using SSBs within the first set for a random access procedure. Determining component 1208 may determine an updated probability set associated with a second SSB set, the updated probability set based on the initial probability set and indicating opportunities for using SSBs within the second set for a random access procedure. Determining component 1208 may include combining Figure 2 The MIMO detector, receive processor, transmit MIMO processor, transmit processor, controller / processor, memory, or a combination thereof of the described UE. Thus, the transmit component 1204 and the receive component 1202 can perform (e.g., via the device 1206) a random access procedure with an SSB selected from the second SSB set.
[0217] In some aspects, transmitting component 1204 and receiving component 1202 may attempt a previous random access procedure using an initial SSB selected based on a signal strength associated with the initial SSB. Thus, the first set of SSBs may not include the initial SSB.
[0218] In some aspects, the selection component 1210 can select a machine learning model from a set of possible machine learning models for use in determining an updated set of probabilities (e.g., based on an indication in the RMSI, OSI, or a combination thereof from the device 1206). The selection component 1210 can include combining Figure 2 A controller / processor, a memory, or a combination thereof of a described UE.
[0219] In some aspects, determining component 1208 can determine the quantization values associated with the first SSB set based on an ascending or descending order. Additionally or alternatively, receiving component 1202 can receive an indication of whether the initial probability set includes quantization values, ascending or descending order, or equal probabilities in at least one of a MIB, RMSI, or OSI (e.g., from device 1206).
[0220] In some aspects, adjusting component 1212 can adjust the initial set of probabilities based on interference measurements, a location associated with device 1200, or a combination thereof. Adjusting component 1212 can include combining Figure 2 1206 , an MIMO detector, a receive processor, a transmit MIMO processor, a transmit processor, a controller / processor, a memory, or a combination thereof of the described UE. Thus, the updated probability set is based on the initial probability set after adjustment. In some aspects, the selection component 1210 can select a machine learning model to be used for adjustment from the set of possible machine learning models (e.g., based on an indication in RMSI, OSI, or a combination thereof from the device 1206).
[0221] In some aspects, receiving component 1202 may receive (e.g., from device 1206) a RAR within a single RAR window associated with an SSB selected from a second set of SSBs and at least one additional SSB. After the random access procedure, transmitting component 1204 may transmit (e.g., to device 1206) an adjusted probability set based on the initial probability set. Additionally or alternatively, receiving component 1202 may receive (e.g., from device 1206) one or more initial probability sets associated with different initial SSBs. Additionally or alternatively, receiving component 1202 may receive (e.g., from device 1206) a new initial probability set.
[0222] Fig.12 The number and arrangement of components shown are provided as examples. In practice, there may be Fig.12 Additional components, fewer components, different components, or components arranged in a different manner than those shown. Fig.12 Two or more components shown may be implemented in a single component, or Fig.12 The single component shown may be implemented as multiple distributed components. Additionally or alternatively, Fig.12 The component set (one or more components) shown may be described as being executable by Fig.12 Another component shown is a collection of one or more functions performed.
[0223] Fig.131 is a diagram of an example apparatus 1300 for wireless communication. Apparatus 1300 may be a network entity, or a network entity may include apparatus 1300. In some aspects, apparatus 1300 includes a receiving component 1302 and a sending component 1304, which may communicate with each other (e.g., via one or more buses and / or one or more other components). As shown, apparatus 1300 may use receiving component 1302 and sending component 1304 to communicate with another apparatus 1306 (such as a UE, a base station, or another wireless communication device). As further shown, apparatus 1300 may include a communication manager 150. Communication manager 150 may include an update component 1308, etc.
[0224] In some aspects, the apparatus 1300 may be configured to perform Figures 6 to 9 Additionally or alternatively, the apparatus 1300 may be configured to perform one or more of the processes described herein (such as Fig.11 In some aspects, Fig.13 The device 1300 and / or one or more components shown may include a combination of Figure 2 Additionally or alternatively, Fig.13 One or more of the components shown may be combined with Figure 2 Additionally or alternatively, one or more components in the component set may be implemented at least in part as software stored in a memory. For example, a component (or a portion of a component) may be implemented as instructions or codes stored in a non-transitory computer-readable medium and may be executed by a controller or processor to perform the function or operation of the component.
[0225] The receiving component 1302 may receive communications, such as reference signals, control information, data communications, or combinations thereof, from the device 1306. The receiving component 1302 may provide the received communications to one or more other components of the device 1300. In some aspects, the receiving component 1302 may perform signal processing (such as filtering, amplification, demodulation, analog-to-digital conversion, demultiplexing, deinterleaving, demapping, equalization, interference cancellation, or decoding, etc.) on the received communications and may provide the processed signals to one or more other components of the device 1300. In some aspects, the receiving component 1302 may include combining Figure 2 One or more antennas, modems, demodulators, MIMO detectors, receive processors, controllers / processors, memories, or combinations thereof of a base station are described.
[0226] The transmitting component 1304 may transmit communications, such as reference signals, control information, data communications, or combinations thereof, to the device 1306. In some aspects, one or more other components of the device 1300 may generate communications and may provide the generated communications to the transmitting component 1304 for transmission to the device 1306. In some aspects, the transmitting component 1304 may perform signal processing (such as filtering, amplification, modulation, digital-to-analog conversion, multiplexing, interleaving, mapping, or encoding, etc.) on the generated communications and may transmit the processed signals to the device 1306. In some aspects, the transmitting component 1304 may include combining Figure 2 One or more antennas, modems, demodulators, transmit MIMO processors, transmit processors, controllers / processors, memories, or combinations thereof of the described base stations. In some aspects, the transmit component 1304 can be co-located with the receive component 1302 in a transceiver.
[0227] In some aspects, transmitting component 1304 may transmit (e.g., to device 1306, such as a UE) an initial probability set associated with a first set of SSBs indicating opportunities to use SSBs within the first set for a random access procedure. Accordingly, transmitting component 1304 and receiving component 1302 may perform (e.g., by device 1306) a random access procedure with SSBs selected (e.g., by device 1306) based at least in part on the initial probability set.
[0228] In some aspects, sending component 1304 may send (e.g., to device 1306) an indication of the second set of SSBs. Accordingly, the SSB may be selected from the second set of SSBs. In some aspects, sending component 1304 may send (e.g., to device 1306 in an RMSI, an OSI, or a combination thereof) an indication of a machine learning model from the set of possible machine learning models such that the SSB is selected (e.g., by device 1306) based at least in part on the machine learning model.
[0229] In some aspects, sending component 1304 may send (eg, to device 1306 in at least one of a MIB, RMSI, or OSI) an indication of whether the initial set of probabilities includes quantized values, ascending or descending order, or equal probabilities.
[0230] In some aspects, sending component 1304 may send (e.g., to device 1306 in an RMSI, an OSI, or a combination thereof) an indication of a formula such that the initial set of probabilities is adjusted based on the formula (e.g., by device 1306). Alternatively, sending component 1304 may send (e.g., to device 1306 in an RMSI, an OSI, or a combination thereof) an indication of a machine learning model from a set of possible machine learning models such that the initial set of probabilities is adjusted based on the machine learning model (e.g., by device 1306).
[0231] In some aspects, transmitting component 1304 may transmit (e.g., to device 1306) a RAR within a single RAR window associated with an SSB selected based at least in part on the initial probability set (e.g., by device 1306) and at least one additional SSB. Additionally or alternatively, transmitting component 1304 may transmit (e.g., to device 1306) a plurality of RARs. Accordingly, receiving component 1302 may receive (e.g., from device 1306) a subsequent message using blind decoding in response to one of the plurality of RARs.
[0232] After performing the random access procedure, receiving component 1302 may receive an adjusted probability set based on the initial probability set (e.g., from device 1306 and / or from one or more additional UEs). Additionally or alternatively, transmitting component 1304 may transmit (e.g., to device 1306) one or more initial probability sets associated with different initial SSBs. Additionally or alternatively, transmitting component 1304 may transmit (e.g., to device 1306) a new initial probability set. For example, updating component 1308 may calculate a new initial probability set based on the adjusted probability set received from device 1306 and / or from one or more additional UEs. Updating component 1308 may include combining Figure 2 A controller / processor, a memory, or a combination thereof of a base station is described.
[0233] Fig.13 The number and arrangement of components shown are provided as examples. In practice, there may be Fig.13 Additional components, fewer components, different components, or components arranged in a different manner than those shown. Fig.13 Two or more components shown may be implemented in a single component, or Fig.13 The single component shown may be implemented as multiple distributed components. Additionally or alternatively, Fig.13 The component set (one or more components) shown may be described as being executable by Fig.13 Another set of components shown performs one or more functions.
[0234] The following provides an overview of some aspects of the disclosure:
[0235] Aspect 1: A method of wireless communication performed by a user equipment (UE), comprising: receiving an initial probability set associated with a first synchronization signal block (SSB) set, the initial probability set indicating an opportunity to use an SSB within the first set for a random access process; determining an updated probability set associated with a second SSB set, the updated probability set being based on the initial probability set and indicating an opportunity to use an SSB within the second set for the random access process; and performing the random access process with an SSB selected from the second SSB set.
[0236] Aspect 2: The method according to aspect 1, wherein the probability set is included in Remaining Minimum System Information (RMSI), Other System Information (OSI), or a combination thereof.
[0237] Aspect 3: The method according to any one of Aspects 1 to 2 further includes: attempting a previous random access process using an initial SSB selected based on a signal strength associated with the initial SSB, wherein the first SSB set does not include the initial SSB.
[0238] Aspect 4: The method according to any one of Aspects 1 to 3, wherein the second SSB set is the first SSB set or a subset of the first SSB set.
[0239] Aspect 5: The method according to any one of aspects 1 to 4, wherein the second SSB set is included in Remaining Minimum System Information (RMSI), Other System Information (OSI), or a combination thereof.
[0240] Aspect 6: The method according to any one of aspects 1 to 5, wherein the updated probability set is determined using an analytical model.
[0241] Aspect 7: The method according to any one of Aspects 1 to 6, wherein the updated probability set is determined using a machine learning model.
[0242] Aspect 8: A method according to Aspect 7, wherein the machine learning model accepts at least one of the following items as input: an index associated with an initial SSB associated with the highest signal strength measurement; the initial probability set; a measurement of signal strength associated with the first SSB set; a measurement of signal strength associated with the second SSB set; a measurement of signal strength associated with one or more SSBs not included in the first set or the second set; or one or more indices associated with an SSB used in one or more unsuccessful random access processes.
[0243] Aspect 9: A method according to any one of Aspects 7 to 8, wherein the machine learning model outputs an indication of the second SSB set, an indication of the updated probability set, or a combination thereof.
[0244] Aspect 10: The method according to any one of Aspects 7 to 9 further includes: selecting the machine learning model from a set of possible machine learning models based on indications in remaining minimum system information (RMSI), other system information (OSI), or a combination thereof.
[0245] Aspect 11: A method according to any one of Aspects 7 to 10, wherein an initial SSB is selected from all SSBs broadcast during initial access, and the machine learning model is applicable to all initial SSBs.
[0246] Aspect 12: A method according to any one of Aspects 7 to 10, wherein the machine learning model is indicated by system information associated with an initial SSB, wherein the system information associated with different initial SSBs indicates different machine learning models.
[0247] Aspect 13: A method according to any one of aspects 1 to 12, wherein the initial SSB is selected from all SSBs broadcast during initial access, and the initial probability set is the same for all initial SSBs.
[0248] Aspect 14: The method according to any one of Aspects 1 to 12, wherein the initial probability set is indicated by system information associated with an initial SSB, wherein the system information associated with different initial SSBs indicates different initial probability sets.
[0249] Aspect 15: The method according to any one of aspects 1 to 14, wherein the initial probability set includes quantized values associated with the first SSB set.
[0250] Aspect 16: The method according to any one of aspects 1 to 14, wherein the initial set of probabilities comprises an ascending or descending order of probabilities associated with the first set of SSBs.
[0251] Aspect 17: The method according to Aspect 16 further includes: determining a quantization value associated with the first SSB set based on the ascending order or the descending order.
[0252] Aspect 18: The method according to any one of aspects 1 to 14, wherein the initial set of probabilities includes equal probabilities for the SSBs included in the first set.
[0253] Aspect 19: The method according to any one of Aspects 1 to 18 also includes: receiving an indication of whether the initial probability set includes quantization values, ascending or descending order, or equal probabilities in at least one of a master information block (MIB), residual minimum system information (RMSI), or other system information (OSI).
[0254] Aspect 20: The method according to aspect 19, wherein the initial SSB is selected from all SSBs broadcast during initial access, and the indication is the same for all initial SSBs.
[0255] Aspect 21: The method according to aspect 19, wherein the indication is included in system information associated with an initial SSB, wherein the system information associated with different initial SSBs includes different indications.
[0256] Aspect 22: The method according to any one of Aspects 1 to 21 also includes: adjusting the initial probability set based on interference measurement, a location associated with the UE, or a combination thereof, wherein the updated probability set is based on the initial probability set after the adjustment.
[0257] Aspect 23: A method according to Aspect 22, wherein the interference measurement is associated with one or more random access preamble codes associated with at least one SSB included in the first SSB set.
[0258] Aspect 24: The method according to any one of aspects 22 to 23, wherein the initial set of probabilities is adjusted using a formula indicated in Remaining Minimum System Information (RMSI), Other System Information (OSI), or a combination thereof.
[0259] Aspect 25: A method according to any one of Aspects 22 to 24, wherein the initial set of probabilities is adjusted using a machine learning model.
[0260] Aspect 26: The method according to Aspect 25 also includes: selecting the machine learning model from the set of possible machine learning models based on an indication in remaining minimum system information (RMSI), other system information (OSI), or a combination thereof.
[0261] Aspect 27: A method according to any one of Aspects 25 to 26, wherein the machine learning model accepts as input at least one of the following items: the interference measurement; the location associated with the UE; and an index associated with the initial SSB associated with the highest signal strength measurement; the initial probability set; or a measurement of the signal strength associated with the first SSB set.
[0262] Aspect 28: A method according to any one of Aspects 25 to 27, wherein the machine learning model outputs the initial probability set after adjustment.
[0263] Aspect 29: A method according to any one of Aspects 1 to 28, wherein the first SSB set and the second SSB set are associated with a secondary service cell within a secondary cell group (SCG), and the initial probability set is indicated in a radio resource control (RRC) message associated with the secondary service cell.
[0264] Aspect 30: A method according to any one of Aspects 1 to 29, wherein performing the random access procedure includes: concurrently sending multiple initial random access messages using the SSB selected from the second SSB set and at least one additional SSB.
[0265] Aspect 31: The method according to aspect 30, wherein the amount of the multiple initial random access messages is indicated in remaining minimum system information (RMSI), other system information (OSI), or a combination thereof.
[0266] Aspect 32: The method according to any one of Aspects 30 to 31 further includes: receiving a random access response (RAR) within a single RAR window associated with the SSB selected from the second SSB set and the at least one additional SSB.
[0267] Aspect 33: A method according to any one of Aspects 1 to 32, wherein performing the random access procedure includes: sending an initial random access message using the SSB selected from the second SSB set according to a timer started at a random access opportunity associated with the SSB.
[0268] Aspect 34: The method according to aspect 33, wherein the timer is indicated in remaining minimum system information (RMSI), other system information (OSI), or a combination thereof.
[0269] Aspect 35: The method according to any one of aspects 1 to 34 further includes: sending an adjusted probability set based on the initial probability set after performing the random access procedure.
[0270] Aspect 36: The method according to any one of Aspects 1 to 35 further includes: receiving one or more initial probability sets associated with different initial SSBs.
[0271] Aspect 37: The method according to any one of Aspects 1 to 36 further includes: receiving a new initial probability set after performing the random access procedure.
[0272] Aspect 38: The method according to aspect 37, wherein the new initial probability set is included in remaining minimum system information (RMSI), other system information (OSI), cell common paging message or a combination thereof.
[0273] Aspect 39: The method of aspect 37, wherein the new initial probability set is included in a broadcast radio resource control (RRC) message.
[0274] Aspect 40: The method according to aspect 37, wherein the new initial probability set is included in a UE-specific radio resource control (RRC) message.
[0275] Aspect 41: A method of wireless communication performed by a network entity, comprising: sending an initial probability set associated with a first synchronization signal block (SSB) set, the initial probability set indicating an opportunity to use an SSB within the first set for a random access process; and performing the random access process with a user equipment (UE) using an SSB selected at least in part based on the initial probability set.
[0276] Aspect 42: The method according to aspect 41, wherein the probability set is included in residual minimum system information (RMSI), other system information (OSI), or a combination thereof.
[0277] Aspect 43: The method according to any one of Aspects 41 to 42, further comprising: sending an indication of a second SSB set, wherein the SSB is selected from the second SSB set.
[0278] Aspect 44: The method according to aspect 43, wherein the second SSB set is included in remaining minimum system information (RMSI), other system information (OSI), or a combination thereof.
[0279] Aspect 45: The method according to any one of Aspects 41 to 44 further includes: sending an indication of a machine learning model from a set of possible machine learning models in remaining minimum system information (RMSI), other system information (OSI), or a combination thereof, wherein the SSB is selected at least in part based on the machine learning model.
[0280] Aspect 46: A method according to Aspect 45, wherein an initial SSB is selected from all SSBs broadcast during initial access, and the machine learning model is applied to all initial SSBs.
[0281] Aspect 47: A method according to Aspect 45, wherein the machine learning model is indicated by system information associated with an initial SSB, wherein the system information associated with different initial SSBs indicates different machine learning models.
[0282] Aspect 48: A method according to any one of Aspects 41 to 47, wherein the initial SSB is selected from all SSBs broadcast during initial access, and the initial probability set is the same for all initial SSBs.
[0283] Aspect 49: A method according to any one of Aspects 41 to 47, wherein the initial probability set is indicated by system information associated with an initial SSB, wherein the system information associated with different initial SSBs indicates different initial probability sets.
[0284] Aspect 50: A method according to any one of aspects 41 to 49, wherein the initial probability set includes quantized values associated with the first SSB set.
[0285] Aspect 51: A method according to any one of aspects 41 to 49, wherein the initial set of probabilities comprises an ascending or descending order of probabilities associated with the first set of SSBs.
[0286] Aspect 52: A method according to any one of aspects 41 to 49, wherein the initial set of probabilities includes equal probabilities for the SSBs included in the first set.
[0287] Aspect 53: The method according to any one of Aspects 41 to 52 also includes: sending an indication of whether the initial probability set includes quantization values, ascending or descending order, or equal probabilities in at least one of the master information block (MIB), the remaining minimum system information (RMSI), or other system information (OSI).
[0288] Aspect 54: A method according to aspect 53, wherein the initial SSB is selected from all SSBs broadcast during initial access, and the indication is the same for all initial SSBs.
[0289] Aspect 55: A method according to aspect 53, wherein the indication is included in system information associated with an initial SSB, wherein the system information associated with different initial SSBs includes different indications.
[0290] Aspect 56: The method according to any one of Aspects 41 to 55 also includes: sending an indication of a formula in Remaining Minimum System Information (RMSI), Other System Information (OSI), or a combination thereof, wherein the initial probability set is adjusted based on the formula.
[0291] Aspect 57: The method according to any one of Aspects 41 to 56 further includes: sending an indication of a machine learning model from a set of possible machine learning models in remaining minimum system information (RMSI), other system information (OSI), or a combination thereof, wherein the initial probability set is adjusted based on the machine learning model.
[0292] Aspect 58: A method according to any one of Aspects 41 to 57, wherein the first SSB set is associated with a secondary service cell within a secondary cell group (SCG), and the initial probability set is indicated in a radio resource control (RRC) message associated with the secondary service cell.
[0293] Aspect 59: A method according to any one of Aspects 41 to 58, wherein performing the random access procedure includes: concurrently receiving multiple initial random access messages using the SSB selected at least in part based on the initial probability set and at least one additional SSB.
[0294] Aspect 60: The method according to aspect 59, wherein the amount of the plurality of initial random access messages is indicated in Remaining Minimum System Information (RMSI), Other System Information (OSI), or a combination thereof.
[0295] Aspect 61: The method according to any one of Aspects 59 to 60 also includes: sending a random access response (RAR) within a single RAR window associated with the SSB selected at least in part based on the initial probability set and the at least one additional SSB.
[0296] Aspect 62: The method according to any one of aspects 59 to 61 further includes: sending multiple random access responses (RARs); and receiving a subsequent message using blind decoding in response to one of the multiple RARs.
[0297] Aspect 63: A method according to any one of Aspects 41 to 62, wherein performing the random access process includes: receiving an initial random access message using the SSB selected at least in part based on the initial probability set according to a timer started at a random access opportunity associated with the SSB.
[0298] Aspect 64: The method according to aspect 63, wherein the timer is indicated in remaining minimum system information (RMSI), other system information (OSI), or a combination thereof.
[0299] Aspect 65: The method according to any one of aspects 41 to 64 further includes: receiving an adjusted probability set based on the initial probability set after performing the random access procedure.
[0300] Aspect 66: The method according to any one of Aspects 41 to 65 further includes: sending one or more initial probability sets associated with different initial SSBs.
[0301] Aspect 67: The method according to any one of Aspects 41 to 66 further includes: sending a new initial probability set after performing the random access procedure.
[0302] Aspect 68: The method according to aspect 67, wherein the new initial probability set is included in the remaining minimum system information (RMSI), other system information (OSI), a cell common paging message, or a combination thereof.
[0303] Aspect 69: The method of aspect 67, wherein the new initial probability set is included in a broadcast radio resource control (RRC) message.
[0304] Aspect 70: The method according to aspect 67, wherein the new initial probability set is included in a UE-specific radio resource control (RRC) message.
[0305] Aspect 71: An apparatus for performing wireless communications at a device, comprising: a processor; a memory coupled to the processor; and instructions stored in the memory and executable by the processor to cause the apparatus to perform one or more of the methods described in Aspects 1 to 40.
[0306] Aspect 72: A device for wireless communication, comprising: a memory; and one or more processors, the one or more processors coupled to the memory, the one or more processors configured to execute the method according to one or more of aspects 1 to 40.
[0307] Aspect 73: An apparatus for wireless communication, comprising: at least one component for performing the method according to one or more of aspects 1 to 40.
[0308] Aspect 74: A non-transitory computer-readable medium storing code for wireless communication, the code comprising instructions executable by a processor to perform the method according to one or more of aspects 1 to 40.
[0309] Aspect 75: A non-transitory computer-readable medium storing an instruction set for wireless communication, the instruction set comprising one or more instructions that, when executed by one or more processors of a device, cause the device to perform one or more of the methods described in aspects 1 to 40.
[0310] Aspect 76: An apparatus for wireless communication at a device, comprising: a processor; a memory coupled to the processor; and instructions stored in the memory and executable by the processor to cause the apparatus to perform one or more of the methods described in Aspects 41 to 70.
[0311] Aspect 77: A device for wireless communication, comprising: a memory; and one or more processors, the one or more processors coupled to the memory, the one or more processors configured to execute the method according to one or more of aspects 41 to 70.
[0312] Aspect 78: An apparatus for wireless communication, comprising: at least one means for performing the method according to one or more of aspects 41 to 70.
[0313] Aspect 79: A non-transitory computer-readable medium storing code for wireless communication, the code comprising instructions executable by a processor to perform the method according to one or more of aspects 41 to 70.
[0314] Aspect 80: A non-transitory computer-readable medium storing an instruction set for wireless communication, the instruction set comprising one or more instructions that, when executed by one or more processors of a device, cause the device to perform one or more of the methods described in aspects 41 to 70.
[0315] The foregoing disclosure provides illustration and description, but is not intended to be exhaustive or to limit the aspects to the precise forms disclosed. Modifications and variations may be made in light of the above disclosure or may be acquired from practice of the various aspects.
[0316] As used herein, the term "component" is intended to be broadly interpreted as a combination of hardware and / or hardware and software. Whether referred to as software, firmware, middleware, microcode, hardware description language or other names, "software" should be broadly interpreted as meaning instructions, instruction sets, codes, code segments, program codes, programs, subroutines, software modules, applications, software applications, software packages, routines, subroutines, objects, executable files, threads of execution, procedures and / or functions, etc. As used herein, a "processor" is implemented in a combination of hardware and / or hardware and software. It will be apparent that the systems and / or methods described herein can be implemented by a combination of hardware and / or hardware and software in different forms. The actual dedicated control hardware or software code used to implement these systems and / or methods does not limit various aspects. Therefore, there is no reference to a specific software code herein to describe the operation and behavior of the system and / or method, because those skilled in the art will understand that software and hardware can be designed to implement the system and / or method based at least in part on the description herein.
[0317] As used herein, "satisfying a threshold" may refer to a value being greater than a threshold, greater than or equal to a threshold, less than a threshold, less than or equal to a threshold, equal to a threshold, not equal to a threshold, etc., depending on the context.
[0318] Although the specific combination of features is set forth in the claims and / or disclosed in the specification, these combinations are not intended to limit the disclosure of various aspects. Many of these features can be combined in a manner that is not specifically described in the claims and / or is not disclosed in the specification. The disclosure of various aspects includes each dependent claim combined with each other claim in the claim set. As used herein, the phrase "at least one of" the list of items refers to any combination of these items (it includes a single member). As an example, "at least one of a, b or c" is intended to cover a, b, c, a+b, a+c, b+c and a+b+c, and any combination with multiple identical elements (for example, a+a, a+a+a, a+a+b, a+a+c, a+b+b, a+c+c, b+b, b+b+b, b+b+c, c+c and c+c+c, or any other sorting of a, b and c).
[0319] Any element, action or instruction used herein should not be interpreted as key or necessary unless explicitly described as such. In addition, as used herein, the article "one" is intended to include one or more items, and can be used interchangeably with "one or more". In addition, as used herein, the article "said" is intended to include one or more items connected to the article "said", and can be used interchangeably with "one or more". In addition, as used herein, the terms "set" and "group" are intended to include one or more items, and can be used interchangeably with "one or more". If you only want to refer to an item, the phrase "only one" or similar terms will be used. Moreover, as used herein, the term "having" is intended to be an open term, and the open term does not limit the element it modifies (for example, an element "having" A may also have B). In addition, the phrase "based on" is intended to mean "based at least in part on", unless explicitly stated otherwise. Furthermore, as used herein, the term "or" when used in a series is intended to be open-ended and used interchangeably with "and / or" unless explicitly stated otherwise (eg, if used in conjunction with "either" or "only one of").
Claims
1. An apparatus for wireless communication at a user equipment (UE), include: Memory; and one or more processors, the one or more processors coupled to the memory, configured to: receiving an initial set of probabilities associated with a first set of synchronization signal blocks (SSBs), The initial probability set indicates an opportunity to use the SSBs in the first set for a random access procedure; determining an updated probability set associated with a second set of SSBs, the updated probability set being based on the initial set of probability and indicating opportunities for using SSBs within the second set for the random access procedure; as well as The random access procedure is performed using an SSB selected from the second SSB set.
2. The apparatus of claim 1, wherein the probability set is included in Remaining Minimum System Information (RMSI), Other System Information (OSI), or a combination thereof.
3. The apparatus of claim 1 , wherein the one or more processors are further configured to: attempting a previous random access procedure using an initial SSB selected based on a signal strength associated with the initial SSB, The first SSB set does not include the initial SSB.
4. The apparatus of claim 1, wherein the updated set of probabilities is determined using a machine learning model.
5. The apparatus of claim 4, wherein the one or more processors are further configured to: The machine learning model is selected from a set of possible machine learning models based on an indication in remaining minimum system information (RMSI), other system information (OSI), or a combination thereof.
6. The apparatus of claim 4, wherein an initial SSB is selected from all SSBs broadcast during initial access, and the machine learning model is applied to all initial SSBs.
7. The apparatus of claim 4, wherein the machine learning model is indicated by system information associated with an initial SSB, wherein system information associated with different initial SSBs indicates different machine learning models.
8. The apparatus of claim 1, wherein an initial SSB is selected from all SSBs broadcast during initial access, and the initial probability set is the same for all initial SSBs.
9. The apparatus of claim 1, wherein the initial probability set is indicated by system information associated with an initial SSB, wherein system information associated with different initial SSBs indicates different initial probability sets.
10. The apparatus of claim 1, wherein the one or more processors are further configured to: adjusting the initial set of probabilities based on interference measurements, a location associated with the UE, or a combination thereof, Wherein the updated set of probabilities is based on the initial set of probabilities after the adjustment.
11. The apparatus of claim 1 , wherein the first SSB set and the second SSB set are associated with a secondary serving cell within a secondary cell group (SCG), and the initial probability set is indicated in a radio resource control (RRC) message associated with the secondary serving cell.
12. The apparatus of claim 1 , wherein to perform the random access procedure, the one or more processors are configured to: Multiple initial random access messages are sent concurrently using the SSB selected from the second SSB set and at least one additional SSB.
13. The apparatus of claim 12, wherein the one or more processors are further configured to: A random access response (RAR) is received within a single RAR window associated with the SSB selected from the second set of SSBs and the at least one additional SSB.
14. The apparatus of claim 1, wherein to perform the random access procedure, the one or more processors are configured to: An initial random access message is sent using the SSB selected from the second SSB set according to a timer started at a random access opportunity associated with the SSB.
15. The apparatus of claim 1, wherein the one or more processors are further configured to: An adjusted probability set based on the initial probability set is sent after performing the random access procedure.
16. The apparatus of claim 1, wherein the one or more processors are further configured to: One or more initial probability sets associated with different initial SSBs are received.
17. The apparatus of claim 1, wherein the one or more processors are further configured to: A new initial probability set is received after performing the random access procedure.
18. An apparatus for wireless communication at a network entity, include: Memory; and one or more processors coupled to the memory and configured to: transmitting an initial probability set associated with a first set of synchronization signal blocks (SSBs), the initial probability set indicating opportunities for using SSBs within the first set for a random access procedure; as well as The random access procedure is performed with a user equipment (UE) using an SSB selected based at least in part on the initial probability set.
19. The apparatus of claim 18, wherein an initial SSB is selected from all SSBs broadcast during initial access, and the initial probability set is the same for all initial SSBs.
20. The apparatus of claim 18, wherein the initial probability set is indicated by system information associated with an initial SSB, wherein system information associated with different initial SSBs indicates different initial probability sets.
21. The apparatus of claim 18, wherein the first SSB set is associated with a secondary serving cell within a secondary cell group (SCG), and the initial probability set is indicated in a radio resource control (RRC) message associated with the secondary serving cell.
22. The apparatus of claim 18, wherein to perform the random access procedure, the one or more processors are configured to: Multiple initial random access messages are received concurrently using the SSB selected based at least in part on the initial probability set and at least one additional SSB.
23. The apparatus of claim 22, wherein the one or more processors are further configured to: A random access response (RAR) is sent within a single RAR window associated with the SSB selected based at least in part on the initial probability set and the at least one additional SSB.
24. The apparatus of claim 22, wherein the one or more processors are further configured to: sending multiple random access responses (RARs); and A subsequent message is received using blind decoding in response to one of the plurality of RARs.
25. The apparatus of claim 18, wherein to perform the random access procedure, the one or more processors are configured to: An initial random access message is received using the SSB selected based at least in part on the initial probability set according to a timer started at a random access opportunity associated with the SSB.
26. The apparatus of claim 18, wherein the one or more processors are further configured to: An adjusted probability set based on the initial probability set is received after performing the random access procedure.
27. The apparatus of claim 18, wherein the one or more processors are further configured to: One or more initial probability sets associated with different initial SSBs are sent.
28. The apparatus of claim 18, wherein the one or more processors are further configured to: A new initial probability set is sent after performing the random access procedure.
29. A method of wireless communication performed by a user equipment (UE), the method include: receiving an initial probability set associated with a first set of synchronization signal blocks (SSBs), the initial probability set indicating opportunities for using SSBs within the first set for a random access procedure; determining an updated probability set associated with a second set of SSBs, the updated probability set being based on the initial set of probability and indicating opportunities for using SSBs within the second set for the random access procedure; as well as The random access procedure is performed using an SSB selected from the second SSB set.
30. A method of wireless communication performed by a network entity, the method include: transmitting an initial probability set associated with a first set of synchronization signal blocks (SSBs), the initial probability set indicating opportunities for using SSBs within the first set for a random access procedure; as well as The random access procedure is performed with a user equipment (UE) using an SSB selected based at least in part on the initial probability set.
