Beam Panic Configuration

Abstract

A method and apparatus for beam panic design. The apparatus measures at least one subset of beams from a set of beams received from a network entity. The apparatus monitors changes in the measured subset of beams having the best signal quality. In response to detecting the occurrence of a change in the measured subset of beams having the best signal quality, the apparatus measures the rate of change in the measured subset of beams having the best signal quality. The apparatus initiates a beam panic mode, at least based on the fact that the rate of change in the measured subset of beams having the best signal quality is less than a first threshold.

Description

Technical Field

[0001] (Cross - reference to Related Applications) This application claims the benefit of U.S. Provisional Patent Application No. 18 / 327,810, filed on June 1, 2023, entitled "BEAM PANIC CONFIGURATION", which is hereby incorporated by reference in its entirety.

[0002] Technical Field The present disclosure generally relates to communication systems, and more specifically, to configurations for beam panic design.

Background Art

[0003] Wireless communication systems are widely deployed to provide various telecommunication services such as telephone communication, video, data, messaging, and broadcast. A typical wireless communication system can adopt a multiple - access technology that can support communication with multiple users by sharing available system resources. 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, and time division synchronous code division multiple access (TD - SCDMA) systems.

[0004] These multiple access technologies have been adopted in various telecommunications standards to provide a common protocol that enables different wireless devices to communicate at the city, national, regional, and even global levels. An exemplary telecommunications standard is 5G New Radio (NR). 5G NR is part of the ongoing evolution of mobile broadband, announced by the Third Generation Partnership Project (3GPP®) to meet new requirements associated with latency, reliability, security, scalability (for example, for the Internet of Things, IoT), and other requirements. 5G NR includes services associated with enhanced mobile broadband (eMBB), massive machine type communications (mMTC), and ultra-reliable low latency communications (URLLC). Some aspects of 5G NR can be based on the 4G Long Term Evolution (LTE) standard. Further improvements are needed in 5G NR technology. These improvements may also be applicable to other multiple access technologies and the telecommunications standards that employ them. [Overview of the project] [Means for solving the problem]

[0005] Below, a simplified outline of one or more embodiments is presented to provide a basic understanding of such embodiments. This outline is not a comprehensive overview of all conceivable embodiments. This outline neither identifies the main or important elements of all embodiments nor defines the scope of any or all embodiments. Its sole purpose is to present some concepts of one or more embodiments in a simplified form as an introduction to the more detailed descriptions that will be presented later.

[0006] In one aspect of this disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus measures at least one subset of beams from a set of beams received from a network entity. The apparatus monitors changes in the measured subset of beams having the best signal quality. In response to detecting the occurrence of a change in the measured subset of beams having the best signal quality, the apparatus measures the rate of change in the measured subset of beams having the best signal quality. The apparatus initiates a beam panic mode, at least based on the fact that the rate of change in the measured subset of beams having the best signal quality is less than a first threshold.

[0007] To achieve the above and related objectives, one or more embodiments may include features that are fully described below and, in particular, indicated in the claims. The following description and drawings detail specific exemplary features of one or more embodiments. However, these features represent only a small selection of the various methods that may employ the principles of the various embodiments. [Brief explanation of the drawing]

[0008] [Figure 1] This figure shows an example of a wireless communication system and access network. [Figure 2A] This figure shows an example of the first frame according to various aspects of the present disclosure. [Figure 2B]This figure shows an example of a downlink (DL) channel within a subframe according to various aspects of this disclosure. [Figure 2C] This figure shows an example of a second frame according to various aspects of the present disclosure. [Figure 2D] This figure shows examples of uplink (UL) channels within a subframe according to various aspects of this disclosure. [Figure 3] This diagram shows an example of a base station (BS) and user equipment (UE) within an access network. [Figure 4] This figure shows one embodiment of the beam search procedure. [Figure 5] This figure shows one example of a beam panic procedure. [Figure 6] This is a call flow diagram of signaling between the UE and the base station. [Figure 7] This is a flowchart of a wireless communication method. [Figure 8] This is a flowchart of a wireless communication method. [Figure 9] This figure shows one embodiment of a hardware implementation for an exemplary device and / or network entity. [Modes for carrying out the invention]

[0009] In wireless communications, a UE may experience beam switching, partly due to the UE's mobility or changes in the optimal base station beam over time. Base station beams may be tracked to obtain the optimal base station beam. To track a base station beam, the UE may detect one or more beams from the base station, but the beams may be detected by a beam search process. In some cases, the beam search process may be performed at a slow frequency, which can slow down the process of finding a good or optimal base station beam, and as a result, the beam search procedure for the optimal base station beam may become inefficient. In some cases, a slow beam search procedure may result in a drop in connectivity or link with the base station providing the service.

[0010] Embodiments presented herein provide configurations for beam panic procedures that can increase the rate of the beam search process for detecting new base station beams. For example, a UE may initiate a beam panic mode based on the rate of change of at least a subset of beams out of a set of beams received from a base station. At least one advantage of the present disclosure is that the beam panic procedure can increase the rate of the beam search process for detecting new base station beams without the UE entering a low SNR situation.

[0011] The "modes for carrying out the invention" described below in relation to the attached drawings are intended to illustrate various configurations and do not represent the only configuration that can implement the concepts described herein. The "modes for carrying out the invention" include specific details intended to provide a complete understanding of the various concepts. However, these concepts can be implemented without these specific details. In some cases, well-known structures and components are shown in block diagrams to avoid obscuring such concepts.

[0012] Several embodiments of telecommunications systems are presented with reference to various devices and methods. These devices and methods are described in the following “Modes for Carrying Out the Invention” and are illustrated in the accompanying drawings by various blocks, components, circuits, processes, algorithms, etc. (collectively referred to as “Elements”). These Elements may be implemented using electronic hardware, computer software, or any 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.

[0013] For example, an element, or any part of an element, or any combination of elements, may be implemented as a “processing system” comprising one or more processors. Examples of processors include microprocessors, microcontrollers, graphics processing units (GPUs), central processing units (CPUs), application processors, digital signal processors (DSPs), reduced instruction set computing (RISC) processors, systems on a chip (SoC), baseband processors, field programmable gate arrays (FPGAs), programmable logic devices (PLDs), state machines, gate logic, discrete hardware circuits, and other suitable hardware configured to perform various functions described throughout this disclosure. One or more processors in a processing system may execute software. Software, whether referred to as software, firmware, middleware, microcode, hardware description language, or any other name, shall be broadly interpreted to mean instructions, instruction sets, code, code segments, program code, programs, subprograms, software components, applications, software applications, software packages, routines, subroutines, objects, executable files, execution threads, procedures, functions, or any combination thereof.

[0014] Accordingly, in one or more exemplary embodiments, implementations, and / or use cases, the functions described may be implemented in hardware, software, or any combination thereof. Where implemented in software, these functions may be stored or encoded on a computer-readable medium as one or more instructions or codes. Computer-readable medium includes computer storage media. Storage media can be any available medium accessible by a computer. Examples of such computer-readable media include random-access memory (RAM), read-only memory (ROM), electrically erasable programmable ROM (EEPROM), optical disk storage devices, magnetic disk storage devices, other magnetic storage devices, combinations of computer-readable media types, or any other medium that can be used to store computer-executable code in the form of instructions or data structures accessible by a computer.

[0015] While this application illustrates various embodiments, implementations, and / or use cases through examples of several embodiments, additional or different embodiments, implementations, and / or use cases may arise in many different configurations and scenarios. The embodiments, implementations, and / or use cases described herein may be implemented across many different platform types, devices, systems, shapes, sizes, and packaging configurations. For example, embodiments, implementations, and / or use cases may arise through integrated chip implementations and other non-modular component-based devices (e.g., end-user devices, vehicles, communication devices, computing devices, industrial equipment, retail / purchasing devices, medical devices, artificial intelligence (AI)-enabled devices, etc.). Some embodiments may or may not specifically address use cases or applications, but a wide range of combinations of the embodiments described may be applicable. The embodiments, implementations, and / or use cases can range from chip-level or modular components to non-modular, non-chip-level implementations, and further to aggregated, distributed, or original equipment manufacturer (OEM) devices or systems incorporating one or more of the technologies described herein. In some practical settings, devices incorporating the described embodiments and features may also include additional components and features for the implementations and practices of the claimed and described embodiments. For example, wireless signal transmission and reception necessarily involve several components for analog and digital purposes (e.g., hardware components including antennas, RF chains, power amplifiers, modulators, buffers, processors (one or more), interleavers, adders / analog adders, etc.). The technologies described herein can be practiced in a wide variety of devices, chip-level components, systems, distributed configurations, aggregated or non-aggregated components, end-user devices, etc., of various sizes, shapes, and configurations.

[0016] The deployment of communication systems such as 5G NR systems can be arranged in multiple ways using various components or constituent parts. In a 5G NR system, or network, network nodes, network entities, network mobility elements, radio access network (RAN) nodes, core network nodes, network elements, or network devices such as base stations (BS), or one or more units (or one or more components) that execute base station functions can be implemented in an integrated architecture or a non-integrated architecture. For example, a BS (such as Node B (NB), evolved NB (eNB), NR BS, 5G NB, access point (AP), transmission reception point (TRP), or cell) can be implemented as an integrated base station (also known as a stand-alone BS or monolithic BS) or a non-integrated base station.

[0017] Aggregated base stations may be configured to utilize a radio protocol stack that is physically or logically integrated within a single RAN node. Non-aggregated base stations may be configured to utilize a protocol stack that is physically or logically distributed among two or more units (such as one or more centralized units (CUs), one or more distributed units (DUs), or one or more radio units (RUs)). In some embodiments, CUs may be implemented within a RAN node, and one or more DUs may be collocated with CUs or, alternatively, geographically or virtually distributed across one or more other RAN nodes. DUs may be implemented to communicate with one or more RUs. Each of CUs, DUs, and RUs may be implemented as a virtual unit, i.e., a virtual central unit (VCU), a virtual distributed unit (VDU), or a virtual radio unit (VRU).

[0018] Base station operation or network design may take into account the aggregation characteristics of base station functions. For example, non-aggregated base stations can be used in integrated access backhaul (IAB) networks, open radio access networks (O-RAN (such as network configurations supported by the O-RAN Alliance)), or virtualized radio access networks (vRAN, also known as cloud radio access networks (C-RAN)). Non-aggregated configurations may include distributing functions across two or more units in various physical locations, and virtually distributing the functions of at least one unit, which can allow for flexibility in network design. Various units of a non-aggregated base station, or a non-aggregated RAN architecture, can be configured for wired or wireless communication with at least one other unit.

[0019] FIG. 1 is a diagram 100 showing an example of a wireless communication system and an access network. The illustrated wireless communication system includes a disaggregated base station architecture. The disaggregated base station architecture may communicate directly with the core network 120 via a backhaul link or may communicate indirectly with the core network 120 through one or more disaggregated base station units (such as a near real-time (near RT) RAN Intelligent Controller (RIC) 125 via an E2 link, or a non-real-time (non RT) RIC 115 associated with a Service Management and Orchestration (SMO) framework 105, or both), and may include one or more CU110. The CU110 may communicate with one or more DU130 via respective midhaul links such as an F1 interface. The DU130 may communicate with one or more RU140 via respective fronthaul links. The RU140 may communicate with respective UEs 104 via one or more radio frequency (RF) access links. In some implementations, the UE 104 may be served simultaneously by multiple RU140s.

[0020] Each of the units, namely CU110, DU130, RU140, and the quasi-RT RIC125, non-RT RIC115, and SMO framework 105, may include, or be coupled to, one or more interfaces configured to receive or transmit signals, data, or information (collectively, signals) over a wired or wireless transmission medium. Each of the units, or an associated processor or controller that provides instructions to the unit's communication interface, may be configured to communicate with one or more other units over a transmission medium. For example, a unit may include a wired interface configured to receive signals from or transmit signals to one or more other units over a wired transmission medium. In addition, a unit may include a wireless interface which may include a receiver, transmitter, or transceiver (such as an RF transceiver), and which is configured to receive signals from or transmit signals to one or more other units over a wireless transmission medium, or both.

[0021] In some embodiments, the CU110 may host one or more higher-layer control functions. Such control functions may include radio resource control (RRC), packet data convergence protocol (PDCP), and service data adaptation protocol (SDAP). Each control function may be implemented using an interface configured to communicate signals with other control functions hosted by the CU110. The CU110 may be configured to handle user plane functions (i.e., Central Unit-User Plane, CU-UP), control plane functions (i.e., Central Unit-Control Plane, CU-CP), or a combination thereof. In some implementations, the CU110 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 units can communicate bidirectionally with the CU-CP units via an interface such as the E1 interface. CU110 may be implemented to communicate with DU130 as needed for network control and signaling.

[0022] The DU130 may correspond to a logic unit containing one or more base station functions for controlling the operation of one or more RU140s. In some embodiments, the DU130 may host one or more of the following, at least in part, depending on a functional decomposition such as that defined by 3GPP: a radio link control (RLC) layer, a medium access control (MAC) layer, and one or more higher physical (PHY) layers (such as modules for forward error correction (FEC) coding and decoding, scrambling, modulation, demodulation, etc.). In some embodiments, the DU130 may further host one or more low PHY layers. Each layer (or module) may be implemented using an interface configured to communicate signals with other layers (and modules) hosted by the DU130, or with control functions hosted by the CU110.

[0023] Lower-layer functions may be implemented by one or more RU140s. In some deployments, RU140s controlled by DU130s may correspond to logical nodes hosting 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, at least partially based on functional partitioning such as lower-layer functional partitioning. In such architectures, RU(s)140s may be implemented to handle over-the-air (OTA) communication with one or more UE104s. In some implementations, real-time and non-real-time modes of control plane and user plane communication with RU(s)140s may be controlled by the corresponding DU130s. In some scenarios, this configuration can enable the DU(singular or plural)130 and CU110 to be implemented in cloud-based RAN architectures such as vRAN architectures.

[0024] The SMO framework 105 may be configured to support RAN deployment and provisioning of non-virtualized and virtualized network elements. For non-virtualized network elements, the SMO framework 105 may be configured to support the deployment of dedicated physical resources for RAN coverage requirements, which can be managed via an operation and maintenance interface (such as the O1 interface). For virtualized network elements, the SMO framework 105 may be configured to interact with a cloud computing platform (such as an open cloud (O-cloud) 190) to perform network element lifecycle management (such as instantiating virtualized network elements) via a cloud computing platform interface (such as the O2 interface). Such virtualized network elements may include, but are not limited to, the CU110, DU130, RU140, and quasi-RT RIC125. In some implementations, the SMO framework 105 can communicate with hardware embodiments of the 4G RAN, such as an open eNB (O-eNB) 111, via the O1 interface. In addition, in some implementations, the SMO framework 105 can communicate directly with one or more RU140s via the O1 interface. The SMO framework 105 may also include a non-RT RIC115 configured to support the functionality of the SMO framework 105.

[0025] Non-RT RIC115 may be configured to include logical functions that enable non-real-time control and optimization of RAN elements and resources, artificial intelligence (AI) / machine learning (ML) (AI / ML) workflows including model training and updating, or policy-based guidance for applications / features in quasi-RT RIC125. Non-RT RIC115 may be coupled to or communicate with quasi-RT RIC125 (via the A1 interface, for example). Quasi-RT RIC125 may be configured to include logical functions that enable quasi-real-time control and optimization of RAN elements and resources via data acquisition and actions through an interface connecting to quasi-RT RIC125 (via the E2 interface, for example), one or more CU110s, one or more DU130s, or both, and an O-eNB, via an interface connecting to quasi-RT RIC125 (via the E2 interface, for example).

[0026] In some implementations, the non-RT RIC115 may receive parameters or external enrichment information from an external server to generate AI / ML models deployed in the quasi-RT RIC125. Such information may be utilized by the quasi-RT RIC125 and may be received from non-network data sources or network functions in the SMO framework 105 or the non-RT RIC115. In some examples, the non-RT RIC115 or quasi-RT RIC125 may be configured to tune RAN behavior or performance. For example, the non-RT RIC115 may monitor long-term trends and patterns in performance and employ AI / ML models to take corrective action through the SMO framework 105 (e.g., reconfiguration via O1) or by creating RAN management policies (e.g., A1 policies).

[0027] At least one of CU110, DU130, and RU140 may be called base station 102. Thus, base station 102 may include one or more of CU110, DU130, and RU140 (each component is indicated by a dotted line to show that each component may or may not be included in base station 102). Base station 102 provides an access point to the core network 120 for UE104. Base station 102 may include macrocells (high-power cellular base stations) and / or small cells (low-power cellular base stations). Small cells include femtocells, picocells, and microcells. A network including both small cells and macrocells may be known as a heterogeneous network. A heterogeneous network may also include evolved node Bs (eNBs) (Home eNBs, HeNBs) that are capable of serving a restricted group known as a closed subscriber group (CSG). The communication link between RU140 and UE104 may include uplink (UL) (also called reverse link) transmission from UE104 to RU140, and / or downlink (DL) (also called forward link) transmission from RU140 to UE104. The communication link may use multiple-input and multiple-output (MIMO) antenna technology, including spatial multiplexing, beamforming, and / or transmit diversity. The communication link may be via one or more carriers. Base station 102 / UE104 may use a spectrum with a maximum bandwidth of Y MHz (e.g., 5, 10, 15, 20, 100, 400 MHz, etc.) per carrier, allocated in a carrier aggregation of a total of up to Yx MHz (x component carriers) used for transmission in each direction. These carriers may or may not be adjacent to each other. Carrier allocation can be asymmetrical between DL and UL (for example, DL may be allocated more or fewer carriers than UL).A component carrier may include a primary component carrier and one or more secondary component carriers. The primary component carrier may be called a primary cell (PCell), and the secondary component carrier may be called a secondary cell (SCell).

[0028] Certain UE104s may communicate with each other using a device-to-device (D2D) communication link 158. The D2D communication link 158 may use the DL / UL wireless wide area network (WWAN) spectrum. The D2D communication link 158 may use one or more sidelink channels, such as a physical sidelink broadcast channel (PSBCH), a physical sidelink discovery channel (PSDCH), a physical sidelink shared channel (PSSCH), and a physical sidelink control channel (PSCCH). D2D communication can be conducted through various wireless D2D communication systems, such as Bluetooth® (a registered trademark of the Bluetooth Special Interest Group (SIG)), Wi-Fi® (a registered trademark of the Wi-Fi Alliance) based on the Institute of Electrical and Electronics Engineers (IEEE) 802.11 standard, LTE, or NR.

[0029] The wireless communication system may further include a Wi-Fi AP150 that communicates with a UE104 (also called a Wi-Fi station (STA)) via a communication link 154, for example, in the 5GHz unlicensed frequency spectrum. When communicating in the unlicensed frequency spectrum, the UE104 / AP150 may perform a clear channel assessment (CCA) before communication to determine whether the channel is available.

[0030] The electromagnetic spectrum is often subdivided into various classes, bands, and channels based on frequency / wavelength. In 5G NR, two initial operating bands are identified as frequency range designations FR1 (410 MHz to 7.125 GHz) and FR2 (24.25 GHz to 52.6 GHz). Although a portion of FR1 is above 6 GHz, FR1 is often referred to (interchangeably) as the "sub-6 GHz" band in various documents and papers. A similar nomenclature issue can arise with FR2, which is often referred to (interchangeably) as the "millimeter wave" band in documents and papers, even though it is different from the extremely high frequency (EHF) band (30 GHz to 300 GHz) which is identified as the "millimeter wave" band by the International Telecommunication Union (ITU).

[0031] The frequencies between FR1 and FR2 are often referred to as intermediate band frequencies. Recent 5G NR research defines the operating band for these intermediate band frequencies as the frequency range designation FR3 (7.125 GHz to 24.25 GHz). The frequency bands included within FR3 may inherit the FR1 and / or FR2 characteristics, and thus, in effect, the features of FR1 and / or FR2 can be extended to the intermediate band frequencies. In addition, higher frequency bands are currently being considered to extend 5G NR operation beyond 52.6 GHz. For example, three higher operating bands have been identified as the frequency range designations FR2-2 (52.6 GHz to 71 GHz), FR4 (71 GHz to 114.25 GHz), and FR5 (114.25 GHz to 300 GHz). Each of these higher frequency bands falls within the EHF band.

[0032] With the above embodiments in mind, unless otherwise specified, as used herein, terms such as “sub-6GHz” may broadly refer to frequencies that may be below 6GHz, frequencies that may be within FR1, or frequencies that may include intermediate band frequencies. Furthermore, unless otherwise specified, as used herein, terms such as “millimeter wave” may broadly refer to frequencies that may include intermediate band frequencies, frequencies that may be within FR2, FR4, FR2-2, and / or FR5, or frequencies that may be within the EHF band.

[0033] Base station 102 and UE 104 may each include multiple antennas, such as antenna elements, antenna panels, and / or antenna arrays, to facilitate beamforming. Base station 102 may transmit a beamformed signal 182 in one or more transmit directions to UE 104. UE 104 may receive a beamformed signal from base station 102 in one or more receive directions. UE 104 may also transmit a beamformed signal 184 in one or more transmit directions to base station 102. Base station 102 may receive a beamformed signal from UE 104 in one or more receive directions. Base station 102 / UE 104 may perform beam training to determine the best receive and transmit directions for each of them. The transmit and receive directions for base station 102 may or may not be the same. The transmit and receive directions for UE 104 may or may not be the same.

[0034] Base station 102 may include and / or be referred to as gNB, node B, eNB, access point, radio base station equipment, radio base station, radio transceiver, transceiver function, basic service set (BSS), extended service set (ESS), TRP, network node, network entity, network equipment, or any other suitable term. Base station 102 may be implemented as an aggregated (monolithic) base station having integrated access and backhaul (IAB) nodes, relay nodes, sidelink nodes, baseband units (BBUs) (including CUs and DUs) and RUs, or as a non-aggregated base station including one or more of CUs, DUs, and / or RUs. A set of base stations that may include non-aggregated and / or aggregated base stations may be referred to as next-generation (NG) RAN (NG-RAN).

[0035] The core network 120 may include an Access and Mobility Management Function (AMF) 161, a Session Management Function (SMF) 162, a User Plane Function (UPF) 163, Unified Data Management (UDM) 164, one or more location servers 168, and other functional entities. The AMF 161 is a control node that handles signaling between the UE 104 and the core network 120. The AMF 161 supports registration management, connection management, mobility management, and other functions. The SMF 162 supports session management and other functions. The UPF 163 supports packet routing, packet forwarding, and other functions. The UDM 164 supports authentication and key agreement (AKA) certificate generation, user identification processing, access authorization, and subscription management. One or more location servers 168 are shown as including a Gateway Mobile Location Center (GMLC) 165 and a Location Management Function (LMF) 166. However, generally, one or more location servers 168 may include one or more location / positioning servers, which may include one or more of the GMLC 165, LMF 166, position determination entity (PDE), serving mobile location center (SMLC), mobile positioning center (MPC), etc. The GMLC 165 and LMF 166 support UE location services. The GMLC 165 provides an interface for clients / applications (e.g., emergency services) to access UE positioning information.LMF166 receives measurements and support information from NG-RAN and UE104 via AMF161 to calculate the position of UE104. NG-RAN may utilize one or more positioning methods to determine the position of UE104. Positioning UE104 may involve signal measurement, position estimation, and an optional speed calculation based on these measurements. Signal measurement may be performed by UE104 and / or base station 102 providing services to UE104. The signals measured include satellite positioning systems (SPS) 170 (e.g., one or more of the following: Global Navigation Satellite System (GNSS), Global Positioning System (GPS), Non-terrestrial Network (NTN), or other satellite position / location systems), LTE signals, wireless local area network (WLAN) signals, Bluetooth signals, terrestrial beacon systems (TBS), sensor-based information (e.g., barometric pressure sensors, motion sensors), NR enhanced cell ID (NR E-CID) methods, NR signals (e.g., multi-round trip time (Multi-RTT), DL angle-of-departure (DL-AoD), DL time difference of arrival (DL-TDOA), UL time difference of It may be based on one or more of the following: arrival (UL-TDOA), and UL angle-of-arrival (UL-AoA) positioning, and / or other systems / signals / sensors.

[0036] Examples of UE104 include cellular phones, smartphones, session initiation protocol (SIP) phones, laptops, personal digital assistants (PDAs), satellite radios, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, tablets, smart devices, wearable devices, vehicles, electric meters, gas pumps, large or small kitchen appliances, healthcare devices, implants, sensors / actuators, displays, or any other similar functional devices. Some of the UE104 may be called IoT devices (e.g., parking meters, gas pumps, toasters, vehicles, cardiac monitors, etc.). The UE104 may also be called a station, mobile station, subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, or any other suitable term. In some scenarios, the term UE can also be applied to one or more companion devices in a device constellation configuration, for example. One or more of these devices may have collective access to the network, and / or access to the network individually.

[0037] Referring again to Figure 1, in a particular embodiment, the UE 104 may include a beam panic component 198 which can be configured to measure at least one subset of beams from a set of beams received from a network entity, monitor changes in the measured subset of beams having the best signal quality, measure the rate of change in the measured subset of beams having the best signal quality in response to detection of the occurrence of a change in the measured subset of beams having the best signal quality, and initiate a beam panic mode based on at least the rate of change in the measured subset of beams having the best signal quality being less than a first threshold.

[0038] While the following description may focus on 5G NR, the concepts described herein may be applicable to other similar fields, such as LTE, LTE-A, CDMA, GSM, and other wireless technologies.

[0039] Figure 2A is Figure 200, which shows an example of a first subframe in a 5G NR frame configuration. Figure 2B is Figure 230, which shows an example of a DL channel in a 5G NR subframe. Figure 2C is Figure 250, which shows an example of a second subframe in a 5G NR frame configuration. Figure 2D is Figure 280, which shows an example of a UL channel in a 5G NR subframe. A 5G NR frame configuration can be frequency division duplexed (FDD), where a subframe within a set of subcarriers is dedicated to either DL or UL for a given set of subcarriers (carrier system bandwidth), or it can be time division duplexed (TDD), where a subframe within a set of subcarriers is dedicated to both DL and UL for a given set of subcarriers (carrier system bandwidth). In the examples provided in Figures 2A and 2C, it is assumed that the 5G NR frame configuration is TDD, subframe 4 is configured using slot format 28 (mostly DL), where D is DL, U is UL, and F is flexible for use between DL and UL, and subframe 3 is configured using slot format 1 (all UL). Subframes 3 and 4 are shown in slot formats 1 and 28 respectively, but any particular subframe can be configured using any of the various available slot formats 0 to 61. Slot formats 0 and 1 are all DL and UL, respectively. The other slot formats 2 to 61 include a mixture of DL symbols, UL symbols, and flexible symbols. The UE is configured to have a slot format (dynamically via DL control information (DCI) or semi-statically / statically via radio resource control (RRC) signaling) through the received slot format indicator (SFI). Note that the following description also applies to 5G NR frame configurations that are TDD.

[0040] Figures 2A to 2D illustrate a particular frame configuration, and aspects of this disclosure may be applicable to other wireless communication technologies that may have different frame configurations and / or different channels. A frame (10 ms) can be divided into 10 subframes (1 ms) of equal size. Each subframe may contain one or more time slots. A subframe may also contain minislots that may contain 7, 4, or 2 symbols. Each slot may contain 14 or 12 symbols, depending on whether the cyclic prefix (CP) is normal or extended. In the case of a normal CP, each slot may contain 14 symbols, and in the case of an extended CP, each slot may contain 12 symbols. Symbols on the DL may be CP orthogonal frequency division multiplexing (OFDM) symbols (CP-OFDM symbols). Symbols on the UL can be CP-OFDM symbols (for high-throughput scenarios) or discrete Fourier transform (DFT) spread OFDM (DFT-s-OFDM) symbols (for power-limited scenarios, when limited to single-stream transmission). The number of slots within a subframe is based on CP and numerology. Numerology defines the subcarrier spacing (SCS) (see Table 1). Symbol length / duration can be scaled by 1 / SCS.

[0041] Table 1: Numerology, SCS, and CP [Table 1]

[0042] For a normal CP (14 symbols / slot), different Numerology μs 0-4 allow for 1, 2, 4, 8, and 16 slots per subframe, respectively. For an extended CP, Numerology 2 allows for 4 slots per subframe. Therefore, for normal CP and Numerology μ, 14 symbols / slot and 2 μ Slots / subframes exist. The subcarrier spacing is 2 μ *μ can be equal to 15kHz, and μ is numerology 0 to 4. Therefore, numerology μ=0 has a subcarrier interval of 15kHz, and numerology μ=4 has a subcarrier interval of 240kHz. Symbol length / duration is inversely proportional to the subcarrier interval. Figures 2A to 2D provide an example of a normal CP with 14 symbols per slot and numerology μ=2 with 4 slots per subframe. The slot duration is 0.25ms, the subcarrier interval is 60kHz, and the symbol duration is approximately 16.67μs. Within a set of frames, there may be one or more different bandwidth parts (BWPs) (see Figure 2B) that are frequency-division multiplexed. Each BWP may have a specific numerology and CP (normal or extended).

[0043] A resource grid can be used to represent the frame configuration. Each time slot contains resource blocks (RBs) (also called physical RBs, PRBs) spanning 12 consecutive subcarriers. The resource grid is divided into multiple resource elements (REs). The number of bits carried by each RE depends on the modulation scheme.

[0044] As shown in Figure 2A, some of the REs carry reference signals (RS) for the UE. RS may include demodulation RS (DM-RS) (shown as R for one specific configuration, but other DM-RS configurations are possible) and channel state information reference signals (CSI-RS) for channel estimation in the UE. RS may also include beam measurement RS (BRS), beam refinement RS (BRRS), and phase tracking RS (PT-RS).

[0045] Figure 2B shows an example of various DL channels within a frame subframe. A physical downlink control channel (PDCCH) carries DCI within one or more control channel elements (CCEs) (e.g., 1, 2, 4, 8, or 16 CCEs), each CCE containing 6 RE groups (REGs), and each REG containing 12 consecutive REs within the OFDM symbol of the RB. A PDCCH within a single BWP may be called a control resource set (CORESET). The UE is configured to monitor PDCCH candidates within a PDCCH search space (e.g., common search space, UE-specific search space) during PDCCH monitoring occasions on the CORESET, in which case those PDCCH candidates have different DCI formats and different aggregation levels. Additional BWPs may be placed at higher and / or lower frequencies across the channel bandwidth. A primary synchronization signal (PSS) may be present within symbol 2 of a specific subframe of a frame. The PSS is used by UE104 to determine the timing of the subframe / symbol and the physical layer identification information. A secondary synchronization signal (SSS) may be present within symbol 4 of a specific subframe of a frame. The SSS is used by UE to determine the group number of the physical layer cell identification information and the timing of the radio frame. Based on the physical layer identification information and the group number of the physical layer cell identification information, UE can determine the physical cell identifier (PCI). Based on the PCI, UE can determine the location of the DM-RS. A physical broadcast channel (PBCH) carrying a master information block (MIB) may be logically grouped with the PSS and SSS to form a synchronization signal (SS) / PBCH block (also called an SS block (SSB)).The MIB provides the number of RBs within the system bandwidth and the system frame number (SFN). The physical downlink shared channel (PDSCH) carries broadcast system information not transmitted through the PBCH, such as user data and system information blocks (SIBs), as well as paging messages.

[0046] As shown in Figure 2C, some REs carry DM-RS (shown as R for one particular configuration, but other DM-RS configurations are possible) for channel estimation at the base station. UEs may transmit DM-RS for the physical uplink control channel (PUCCH) and DM-RS for the physical uplink shared channel (PUSCH). PUSCH DM-RS may be transmitted in the first one or two symbols of the PUSCH. PUCCH DM-RS may be transmitted in different configurations depending on whether a short or long PUCCH is transmitted, and depending on the specific PUCCH format used. UEs may transmit sounding reference signals (SRS). SRS may be transmitted in the last symbol of a subframe. SRS may have a comb structure, and UEs may transmit SRS in one of those combs. SRS can be used by base stations for channel quality estimation to enable frequency-dependent scheduling on the UL.

[0047] Figure 2D shows an example of various UL channels within a frame subframe. In one configuration, PUCCHs can be arranged as shown. PUCCHs carry uplink control information (UCI), such as scheduling requests, channel quality indicators (CQI), precoding matrix indicators (PMI), rank indicators (RI), and hybrid automatic repeat request (HARQ) acknowledgment (ACK) (hybrid automatic repeat request acknowledgment, HARQ-ACK) feedback (i.e., one or more HARQ ACK bits indicating one or more ACKs and / or negative ACKs, NACKs). PUCCHs carry data and can also be used to carry buffer status reports (BSR), power headroom reports (PHR), and / or UCI.

[0048] Figure 3 is a block diagram showing base station 310 communicating with UE350 in an access network. In DL, Internet Protocol (IP) packets can be provided to controller / processor 375. Controller / processor 375 implements Layer 3 and Layer 2 functions. Layer 3 includes the Radio Resource Control (RRC) layer, and Layer 2 includes the Service Data Adaptive Protocol (SDAP) layer, Packet Data Convergence Protocol (PDCP) layer, Radio Link Control (RLC) layer, and Medium Access Control (MAC) layer. The controller / processor 375 includes RRC layer functions associated with broadcasting system information (e.g., MIB, SIB), RRC connection control (e.g., RRC connection paging, RRC connection establishment, RRC connection correction, and RRC connection release), mobility between radio access technologies (RATs), and measurement settings for UE measurement reporting; PDCP layer functions associated with header compression / decompression, security (encryption, decryption, integrity protection, integrity verification), and handover support functions; RLC layer functions associated with forwarding upper-layer packet data units (PDUs), error correction via ARQ, concatenation, segmentation, and reassembly of RLC service data units (SDUs), resegmentation of RLC data PDUs, and sorting of RLC data PDUs; and mapping between logical channels and transport channels, multiplexing MAC SDUs onto transport blocks (TBs), and MAC from TBs. It provides MAC layer functionality associated with SDU demultiplexing, scheduling information reporting, error correction via HARQ, priority processing, and logical channel prioritization.

[0049] The transmit (TX) processor 316 and the receive (RX) processor 370 implement Layer 1 functions associated with various signal processing functions. Layer 1, including the physical (PHY) layer, may include error detection on the transport channel, forward error correction (FEC) coding / decoding of the transport channel, interleaving, rate matching, mapping to the physical channel, modulation / demodulation of the physical channel, and MIMO antenna processing. The TX processor 316 handles mapping to signal constellations based on various modulation schemes (e.g., binary phase-shift keying (BPSK), quadrature phase-shift keying (QPSK), M-phase-shift keying (M-PSK), M-quadrature amplitude modulation (M-QAM)). The coded and modulated symbols can then be divided into parallel streams. Next, each stream can be mapped to an OFDM subcarrier, multiplexed with a reference signal (e.g., a pilot) in the time domain and / or frequency domain, and then combined together using an inverse fast Fourier transform (IFFT) to generate a physical channel that carries the time-domain OFDM symbol stream. The OFDM streams are spatially precoded to generate multiple spatial streams. Channel estimates from the channel estimator 374 can be used to determine the coding and modulation scheme and for spatial processing. Channel estimates can be derived from reference signals and / or channel state feedback transmitted by the UE 350. Each spatial stream can then be provided to different antennas 320 via separate transmitters 318Tx. Each transmitter 318Tx can modulate radio frequency (RF) carriers on its respective spatial stream for transmission.

[0050] In UE350, each receiver 354Rx receives signals through its respective antenna 352. Each receiver 354Rx reconstructs the information modulated on the RF carrier and provides this information to the receiver (RX) processor 356. The TX processor 368 and RX processor 356 implement Layer 1 functions associated with various signal processing functions. The RX processor 356 may perform spatial processing on the information to reconstruct any spatial stream destined for UE350. If multiple spatial streams are destined for UE350, they can be combined into a single OFDM symbol stream by the RX processor 356. The RX processor 356 then uses a Fast Fourier Transform (FFT) to convert the OFDM symbol stream from the time domain to the frequency domain. The frequency domain signal contains a separate OFDM symbol stream for each subcarrier of the OFDM signal. The symbols on each subcarrier, and the reference signal, are reconstructed and demodulated by determining the most likely signal constellation point transmitted by the base station 310. These soft decisions can be obtained based on channel estimates calculated by the channel estimator 358. The soft decisions are then decoded and deinterleaved to reconstruct the data and control signals initially transmitted on the physical channel by the base station 310. These data and control signals are then provided to the controller / processor 359, which implements Layer 3 and Layer 2 functions.

[0051] The controller / processor 359 may be associated with at least one memory 360 for storing program code and data. The at least one memory 360 may be referred to as a computer-readable medium. In UL, the controller / processor 359 performs demultiplexing between transport and logical channels, packet reassembly, decoding, header decompression, and control signal processing to reconstruct IP packets. The controller / processor 359 also handles error detection using the ACK and / or NACK protocols to support HARQ operation.

[0052] Similar to the functions described in relation to DL transmission by base station 310, the controller / processor 359 provides RRC layer functions associated with acquiring system information (e.g., MIB, SIB), RRC connection, and measurement reporting; PDCP layer functions associated with header compression / decompression and security (encryption, decryption, integrity protection, integrity verification); RLC layer functions associated with transferring upper-layer PDUs, error correction via ARQ, concatenation, segmentation, and reassembly of RLC SDUs, resegmentation of RLC data PDUs, and sorting of RLC data PDUs; and MAC layer functions associated with mapping logical channels to transport channels, multiplexing MAC SDUs onto TB, demultiplexing MAC SDUs from TB, scheduling information reporting, error correction via HARQ, priority processing, and logical channel prioritization.

[0053] The channel estimate derived by the channel estimator 358 from a reference signal or feedback transmitted by the base station 310 may be used by the TX processor 368 to select an appropriate coding and modulation scheme and to facilitate spatial processing. The spatial stream generated by the TX processor 368 may be provided to different antennas 352 via separate transmitters 354Tx. Each transmitter 354Tx can modulate the RF carrier in its respective spatial stream for transmission.

[0054] UL transmission is processed at base station 310 in a manner similar to that described for receiver functions in UE350. Each receiver 318Rx receives the signal through its respective antenna 320. Each receiver 318Rx reconstructs the information modulated on the RF carrier and provides this information to RX processor 370.

[0055] The controller / processor 375 may be associated with at least one memory 376 for storing program code and data. The at least one memory 376 may be referred to as a computer-readable medium. In UL, the controller / processor 375 performs demultiplexing between transport and logical channels, packet reassembly, decoding, header decompression, and control signal processing to reconstruct IP packets. The controller / processor 375 also handles error detection using the ACK and / or NACK protocols to support HARQ operation.

[0056] At least one of the TX processor 368, RX processor 356, and controller / processor 359 may be configured to perform an embodiment related to the beam panic component 198 in Figure 1.

[0057] In wireless communications, a UE may experience beam switching, partly due to the mobility of the UE (e.g., a UE in a moving vehicle), and the optimal base station beam may change over time. The base station beam can be efficiently tracked to obtain the optimal base station beam and good performance. To track the base station beam, the UE may detect one or more beams from the base station, which can be detected by a beam search process. In some cases, the beam search process may be performed at a slow frequency, which can slow down the process of finding a good or optimal base station beam.

[0058] For example, referring to Figure 400 in Figure 4, UE 404 may detect a first beam 406 and a second beam 408 from base station 402, where the first beam 406 is the service-providing base station beam. As UE 404 moves along the direction of travel, the second beam 408 may become the service-providing base station beam. However, the third beam 410 and / or fourth beam 412 may not be detectable by the UE, and therefore the UE may continue to use the second beam 408 as the service-providing base station beam until the search procedure becomes capable of detecting the third beam 410 and / or fourth beam 412. The exemplary search procedure in Figure 4 may result in slow search periodicity, which can make the beam search procedure for the optimal base station beam inefficient. In some cases, a slow beam search procedure may result in a drop in connectivity or link with the service-providing base station.

[0059] The cell panic procedure can be used to speed up the beam search process, but it can be triggered in several situations, such as low signal-to-noise ratio (SNR) conditions. The cell panic procedure allows the UE to search for the beam at a more frequent rate when the UE is in a low SNR situation. However, when the UE is in a low SNR situation, it is more likely to be at the cell edge and may perform a search for a new cell.

[0060] Embodiments presented herein provide configurations for beam panic procedures to increase the rate of the beam search process for detecting new base station beams. For example, a UE may initiate a beam panic mode based on the rate of change of at least a subset of beams out of the set of beams received from a base station. At least one advantage of the present disclosure is that the beam panic procedure can increase the rate of the beam search process for detecting new base station beams without the UE entering a low SNR situation. The UE may initiate a beam panic procedure based on the rate of change of at least a subset of beams, as opposed to waiting for the UE to enter a low SNR situation.

[0061] In some cases, beam dwell time (e.g., gNb_beam_dwell_time) may be a metric used to measure the rate at which base station beam switching may occur. A low beam dwell time may indicate that beam switching may occur frequently, or otherwise, that beam switching may occur at a slow or reduced rate. Beam dwell time may also be based on changes within a set of beams. For example, a set of beams may contain K beams, and the beam dwell time may be based on changes within K beams, where K beams have the best quality or signal strength. For example, if K=1, the beam dwell time is based on when the best beam changes. In another embodiment, if K=2, the beam dwell time is based on when at least one of the two best beams changes. Beam dwell time may be used to determine whether a UE should enter or initiate beam panic mode. Beam dwell time may also be used to determine whether a UE should exit or disable beam panic mode.

[0062] Figure 5 is a diagram showing one embodiment of the beam panic procedure. UE initialization may be performed in 502. For example, initialization may include setting one or more flags to their initial values, such as the beam panic flag (e.g., gNb_beam_panic_flag) to 0 and the beam panic dwell time (e.g., gNb_beam_panic_dwell_time) to 0. Initialization may also include setting the initial timestamp (e.g., Init_time_stamp) to the current time. The beam panic flag corresponds to whether the UE is in beam panic mode. A beam panic flag value of 0 indicates that the UE is not in beam panic mode, or has exited or terminated beam panic mode. A beam panic flag value of 1 indicates that the UE is in beam panic mode, or has enabled or entered beam panic mode.

[0063] In 504, the UE may determine the top K beams from the base station. For example, the UE may measure a set of beams received from the base station in order to determine the top K beams of the set of beams from the base station. The top K beams may be a subset of beams from the set of beams received from the base station. The value of K may be configurable or preconfigurable. For example, the base station may provide the value of K to the UE.

[0064] In 506, the UE may determine the beam panic dwell time. The beam panic dwell time may be based on the current time and the initial timestamp. For example, the beam panic dwell time may be the difference between the current time and the initial timestamp (e.g., current time - initial timestamp).

[0065] In 508, the UE may determine whether there has been a change in any of the K beams. The UE may measure the K beams over a configurable or preconfigurable period of time. If there has been a change in at least one of the K beams, the process proceeds to 510. In 510, depending on the determination of the changes in the K beams, the UE may set an initial timestamp to be equal to the current time, which is the time when the changes in the K beams were determined.

[0066] In step 512, the UE may determine whether the beam panic dwell time is less than a first threshold. The first threshold (e.g., gNb_enter_threshold) may be used to determine whether the UE should initiate or enter beam panic mode. For example, if the beam panic dwell time is not less than the first threshold, the UE will not initiate or enter beam panic mode. A beam panic dwell time not less than the first threshold may indicate that the rate of beam switching is not frequent or is acceptable so as not to satisfy the conditions for entering beam panic mode. In such cases where the beam panic dwell time is not less than the first threshold, the UE may return to step 504 and resume measuring the K beams. In cases where the beam panic dwell time is less than the first threshold, the process proceeds to step 514. A beam panic dwell time less than the first threshold indicates that beam switching is occurring frequently and the conditions for entering beam panic mode are satisfied.

[0067] In 514, the UE may set the beam panic flag value to 1 so that the UE enters or initiates beam panic mode. Beam panic mode allows the UE to increase the rate or periodicity at which it measures or searches for beams from base stations in order to detect potential new base station beams in an efficient manner. After entering or initiating beam panic mode, the UE may return to 504 and measure beams from base stations at the increased rate or periodicity.

[0068] The UE may remain in beam panic mode until the UE decides that beam panic mode should be disabled. For example, in the case where the UE does not detect K beam changes while in beam panic mode, in step 508, the process may proceed to step 516. In step 516, the UE may determine whether the beam panic dwell time is greater than a second threshold. The second threshold (e.g., gNb_exit_threshold) may be used to determine whether the UE should disable beam panic mode or exit beam panic mode. In some cases, if the beam panic dwell time is not greater than the second threshold, the UE does not disable beam panic mode or exit beam panic mode. In some cases, if the beam panic dwell time is greater than the second threshold, the process may proceed to step 518 to disable or exit beam panic mode. In step 518, the UE may set the beam panic flag value to 0 depending on whether the beam panic dwell time is greater than the second threshold. By setting the beam panic flag value to 0, the UE is instructed to disable or exit beam panic mode. After disabling or exiting beam panic mode, the UE may return to 504 and resume beam measurement. A beam panic dwell time greater than the second threshold may indicate that beam switching is being performed at a reduced rate, so that measuring or searching for the beam at an increased rate or periodicity is no longer supported.

[0069] In some cases, for example in 508, when the UE is not in beam panic mode, the UE cannot detect K beam changes, and therefore the process proceeds to 516. In such cases, the UE does not determine whether the beam panic dwell time is greater than the second threshold, and bypasses such determination. The UE bypasses the determination of whether the beam panic dwell time is greater than the second threshold because the UE is not in beam panic mode.

[0070] Figure 6 is a call flow diagram 600 of signaling between UE602 and base station 604. Base station 604 may be configured to provide at least one cell. UE602 may be configured to communicate with base station 604. For example, in the context of Figure 1, base station 604 may correspond to base station 102, and UE602 may correspond to at least UE104. In another embodiment, in the context of Figure 3, base station 604 may correspond to base station 310, and UE602 may correspond to UE350.

[0071] In 606, base station 604 may provide a set of beams. UE 602 may receive a set of beams from base station 604. In 608, UE may measure at least one subset of beams from the set of beams, as described with respect to Figure 5. UE may measure at least one subset of beams from the set of beams received from base station 604. At least one subset of beams may have the best signal quality from the set of beams. In some embodiments, the measurement of at least one subset of beams may be performed depending on the rate of change of the measured subset of beams having the best signal quality being greater than a first threshold. In some embodiments, the measurement of at least one subset of beams may be performed depending on at least one of the following: no change in the measured subset of beams having the best signal quality, the rate of change of the measured subset of beams having the best signal quality being greater than a second threshold, or the rate of change of the measured subset of beams having the best signal quality being less than a second threshold. In some embodiments, at least one subset of beams may be configurable or pre-configurable. For example, a network entity (e.g., a base station) may provide at least one subset of the beam to the UE. In another embodiment, the UE may be pre-configured with at least one subset of the beam.

[0072] In 610, the UE may monitor changes within the measured beam subset, as described with respect to Figure 5. The UE may monitor changes within the measured beam subset having the best signal quality. In some embodiments, changes within the measured beam subset having the best signal quality may include a new or different beam from the set of beams replacing at least one beam in the measured beam subset having the best signal quality. For example, the UE may determine whether any of the measured beam subset having the best signal quality has been replaced by any of the remaining beams received from base station 604. A beam in the measured beam subset having the best signal quality may be replaced by any of the remaining beams received from base station 604 in cases where a beam from the remaining beams has a higher quality than any beam in the measured beam subset having the best signal quality.

[0073] In 612, the UE may measure the rate of change of the measured beam subset having the best signal quality, as described with respect to Figure 5. The UE may measure the rate of change of the measured beam subset having the best signal quality in response to the detection of the occurrence of a change in the measured beam subset having the best signal quality. For example, the UE may measure the rate of change of the measured beam subset having the best signal quality over a certain period of time.

[0074] In 614, the UE may initiate a beam panic mode as described with respect to Figure 5. The UE may initiate a beam panic mode based on the fact that the rate of change of the measured subset of the beam having the best signal quality is below a first threshold. In some embodiments, measurements of at least one subset of the beam are performed in response to the initiation of the beam panic mode. In some embodiments, the beam panic mode may include an increased rate of measurement of at least one subset of the beam. The first threshold may be based on the rate of change of the measured subset of the beam having the best signal quality. In some embodiments, the rate of change of the measured subset of the beam having the best signal quality being below the first threshold may indicate an increased rate of change of the measured subset of the beam having the best signal quality so that the beam panic mode may be initiated. In some embodiments, the rate of change of the measured subset of the beam having the best signal quality being greater than or equal to the first threshold may indicate that the rate of change of the measured subset of the beam having the best signal quality is acceptable so that the initiation of the beam panic mode cannot occur. The UE may perform at least one of 608-612 during beam panic mode.

[0075] In 616, UE602 may communicate with base station 604 during beam panic mode.

[0076] In 618, UE602 may disable the beam panic mode as described with respect to Figure 5. UE602 may disable the beam panic mode based at least on the absence of change in the measured beam subset having the best signal quality, or on the rate of change of the measured beam subset having the best signal quality being greater than a second threshold. The second threshold may be based on the rate of change of the measured beam subset having the best signal quality. In some embodiments, the rate of change of the measured beam subset having the best signal quality being greater than the second threshold may indicate a decreased or slow rate of change in the measured beam subset having the best signal quality, and as a result, the measured beam subset having the best signal quality may stabilize, and the beam panic mode may be disabled.

[0077] In 620, UE602 may communicate with base station 604 when the beam panic mode ends. The UE may perform at least one of 608-612 when the beam panic mode ends.

[0078] Figure 7 is a flowchart 700 of a wireless communication method. The method may be performed by a UE (e.g., UE 104, device 904). One or more of the operations described may be omitted, replaced, or occur simultaneously. The method may allow initiating a beam panic mode to increase the rate of the search process for detecting new beams from a base station.

[0079] In 702, the UE may measure at least one subset of beams from a set of beams. For example, 702 may be performed by the beam panic component 198 of the device 904. The UE may measure at least one subset of beams from a set of beams received from a network entity, as described with respect to Figure 5. At least one subset of beams may have the best signal quality from the set of beams. In some embodiments, the measurement of at least one subset of beams may be performed depending on the rate of change of the measured subset of beams having the best signal quality being greater than a first threshold. In some embodiments, the measurement of at least one subset of beams may be performed depending on at least one of the following: no change in the measured subset of beams having the best signal quality, the rate of change of the measured subset of beams having the best signal quality being greater than a second threshold, or the rate of change of the measured subset of beams having the best signal quality being less than a second threshold. In some embodiments, at least one subset of beams may be configurable or preconfigurable. For example, a network entity (e.g., a base station) may provide at least one subset of the beam to the UE. In another embodiment, the UE may be pre-configured with at least one subset of the beam.

[0080] In 704, the UE may monitor changes within a subset of the measured beams. For example, 704 may be performed by the panic component 198 of the device 904. The UE may monitor changes within a subset of the measured beams having the best signal quality, as described with respect to Figure 5. In some embodiments, changes within a subset of the measured beams having the best signal quality may include a new or different beam from the set of beams replacing at least one beam in the subset of the measured beams having the best signal quality. For example, the UE may determine whether any of the subsets of the measured beams having the best signal quality have been replaced by any of the remaining beams from the network entity (e.g., a base station). A beam in the subset of the measured beams having the best signal quality may be replaced by any of the remaining beams from the network entity in cases where a beam from the remaining beams has a higher quality than any beam in the subset of the measured beams having the best signal quality.

[0081] In 706, the UE may measure the rate of change of the measured beam subset having the best signal quality. For example, 706 may be performed by the panic component 198 of the device 904. The UE may measure the rate of change of the measured beam subset having the best signal quality in response to the detection of the occurrence of a change of the measured beam subset having the best signal quality, as described with respect to Figure 5. For example, the UE may measure the rate of change of the measured beam subset having the best signal quality over a certain period of time.

[0082] In 708, the UE may initiate a beam panic mode. For example, 708 may be performed by the panic component 198 of the device 904. The UE may initiate a beam panic mode based on the fact that the rate of change of at least one subset of the measured beam having the best signal quality is below a first threshold, as described with respect to Figure 5. In some embodiments, measurements of at least one subset of the beam are performed in response to the initiation of the beam panic mode. In some embodiments, the beam panic mode may include an increased rate of measurement of at least one subset of the beam. The first threshold may be based on the rate of change of the measured subset of the beam having the best signal quality. In some embodiments, the fact that the rate of change of the measured subset of the beam having the best signal quality is below the first threshold may indicate an increased rate of change of the measured subset of the beam having the best signal quality, so that the beam panic mode may be initiated. In some embodiments, a rate of change of the measured subset of beams having the best signal quality being greater than or equal to a first threshold may indicate that the rate of change of the measured subset of beams having the best signal quality is acceptable so that the onset of a beam panic mode cannot occur.

[0083] Figure 8 is a flowchart of a wireless communication method 800. The method may be performed by a UE (e.g., UE 104, device 904). One or more of the operations described may be omitted, replaced, or occur simultaneously. The method may allow initiating a beam panic mode to increase the rate of the search process for detecting new beams from a base station.

[0084] In 802, the UE may measure at least one subset of beams from a set of beams. For example, 802 may be performed by the beam panic component 198 of the device 904. The UE may measure at least one subset of beams from a set of beams received from a network entity, as described with respect to Figure 5. At least one subset of beams may have the best signal quality from the set of beams. In some embodiments, the measurement of at least one subset of beams may be performed depending on the rate of change of the measured subset of beams having the best signal quality being greater than a first threshold. In some embodiments, the measurement of at least one subset of beams may be performed depending on at least one of the following: no change in the measured subset of beams having the best signal quality, the rate of change of the measured subset of beams having the best signal quality being greater than a second threshold, or the rate of change of the measured subset of beams having the best signal quality being less than a second threshold. In some embodiments, at least one subset of beams may be configurable or pre-configurable. For example, a network entity (e.g., a base station) may provide at least one subset of the beam to the UE. In another embodiment, the UE may be pre-configured with at least one subset of the beam.

[0085] In 804, the UE may monitor changes within a subset of the measured beams. For example, 804 may be performed by the panic component 198 of the device 904. The UE may monitor changes within a subset of the measured beams having the best signal quality, as described with respect to Figure 5. In some embodiments, changes within a subset of the measured beams having the best signal quality may include a new or different beam from the set of beams replacing at least one beam in the subset of the measured beams having the best signal quality. For example, the UE may determine whether any of the subsets of the measured beams having the best signal quality have been replaced by any of the remaining beams from the network entity (e.g., a base station). A beam in the subset of the measured beams having the best signal quality may be replaced by any of the remaining beams from the network entity in cases where a beam from the remaining beams has a higher quality than any beam in the subset of the measured beams having the best signal quality.

[0086] In 806, the UE may measure the rate of change of the measured beam subset having the best signal quality. For example, 806 may be performed by the panic component 198 of the device 904. The UE may measure the rate of change of the measured beam subset having the best signal quality in response to the detection of the occurrence of a change of the measured beam subset having the best signal quality, as described with respect to Figure 5. For example, the UE may measure the rate of change of the measured beam subset having the best signal quality over a certain period of time.

[0087] In 808, the UE may initiate a beam panic mode. For example, 808 may be performed by the panic component 198 of the device 904. The UE may initiate a beam panic mode based on the fact that the rate of change of at least one subset of the measured beam having the best signal quality is below a first threshold, as described with respect to Figure 5. In some embodiments, measurements of at least one subset of the beam are performed in response to the initiation of the beam panic mode. In some embodiments, the beam panic mode may include an increased rate of measurement of at least one subset of the beam. The first threshold may be based on the rate of change of the measured subset of the beam having the best signal quality. In some embodiments, the fact that the rate of change of the measured subset of the beam having the best signal quality is below the first threshold may indicate an increased rate of change of the measured subset of the beam having the best signal quality, so that the beam panic mode may be initiated. In some embodiments, a rate of change of the measured subset of beams having the best signal quality being greater than or equal to a first threshold may indicate that the rate of change of the measured subset of beams having the best signal quality is acceptable so that the onset of a beam panic mode cannot occur.

[0088] In 810, the UE may disable the beam panic mode. For example, 810 may be performed by the panic component 198 of the device 904. The UE may disable the beam panic mode based on, at least, the absence of change in the measured subset of beams having the best signal quality, or the rate of change in the measured subset of beams having the best signal quality being greater than a second threshold, as described with respect to Figure 5. The second threshold may be based on the rate of change in the measured subset of beams having the best signal quality. In some embodiments, the rate of change in the measured subset of beams having the best signal quality being greater than the second threshold may indicate a reduced or slow rate of change in the measured subset of beams having the best signal quality, and as a result, the measured subset of beams having the best signal quality may stabilize, and the beam panic mode may be disabled.

[0089] Figure 9 is a diagram showing one embodiment of a hardware implementation for device 904. Device 904 may be a UE, a component of a UE, or implement UE functions. In some embodiments, device 904 may include a cellular baseband processor 924 (also called a modem) coupled to one or more transceivers 922 (e.g., cellular RF transceivers). The cellular baseband processor 924 may include on-chip memory 924'. In some embodiments, device 904 may further include one or more subscriber identity module (SIM) cards 920 and an application processor 906 coupled to a secure digital (SD) card 908 and a screen 910. The application processor 906 may include on-chip memory 906'. In some embodiments, the device 904 may further include a Bluetooth module 912, a WLAN module 914, an SPS module 916 (e.g., a GNSS module), one or more sensor modules 918 (e.g., motion sensors such as a barometric pressure sensor / altimeter, an inertial measurement unit (IMU), a gyroscope, and / or accelerometer(s), light detection and ranging (LIDAR), radio-assisted detection and ranging (RADAR), sound navigation and ranging (SONAR), a magnetometer, audio, and / or other technologies used for positioning), an additional memory module 926, a power supply 930, and / or a camera 932. The Bluetooth module 912, the WLAN module 914, and the SPS module 916 may include an on-chip transceiver (TRX) (or, in some cases, simply a receiver (RX)). The Bluetooth module 912, the WLAN module 914, and the SPS module 916 may include their own dedicated antennas and / or utilize antenna 980 for communication.The cellular baseband processor 924 communicates with the RU associated with the UE 104 and / or network entity 902 via one or more antennas 980 and transceivers (one or more) 922. The cellular baseband processor 924 and the application processor 906 may each include computer-readable media / memory 924', 906', respectively. An additional memory module 926 may also be considered computer-readable media / memory. Each computer-readable media / memory 924', 906', 926 may be non-transient. The cellular baseband processor 924 and the application processor 906 are each responsible for general processing, including the execution of software stored in the computer-readable media / memory. When the software is executed by the cellular baseband processor 924 / application processor 906, it causes the cellular baseband processor 924 / application processor 906 to perform the various functions described above. Computer-readable media / memory may also be used to store data manipulated by the cellular baseband processor 924 / application processor 906 when running software. The cellular baseband processor 924 / application processor 906 may be a component of the UE350 and may include at least one memory 360, and / or at least one of the TX processor 368, RX processor 356, and controller / processor 359. In one configuration, the device 904 may be a processor chip (modem and / or application) and may include only the cellular baseband processor 924 and / or application processor 906, while in another configuration, the device 904 may be the entire UE (see, for example, the UE350 in Figure 3) and may include additional modules of the device 904.

[0090] As described above, component 198 may be configured to measure at least one subset of beams from a set of beams received from a network entity, monitor changes in the measured subset of beams having the best signal quality, measure the rate of change in the measured subset of beams having the best signal quality in response to detection of the occurrence of a change in the measured subset of beams having the best signal quality, and initiate a beam panic mode based on at least the rate of change in the measured subset of beams having the best signal quality being less than a first threshold. Component 198 may be in the cellular baseband processor 924, the application processor 906, or both the cellular baseband processor 924 and the application processor 906. Component 198 may be one or more hardware components specifically configured to perform the described process / algorithm, may be implemented by one or more processors configured to perform the described process / algorithm, may be stored in a computer-readable medium for implementation by one or more processors, or may be any combination thereof. As illustrated, the device 904 may include various components configured for various functions. In one configuration, the device 904, in particular the cellular baseband processor 924 and / or application processor 906, may include means for measuring at least one subset of beams from a set of beams received from a network entity. The device includes means for monitoring changes in the measured subset of beams having the best signal quality. The device includes means for measuring the rate of change in the measured subset of beams having the best signal quality in response to detection of the occurrence of a change in the measured subset of beams having the best signal quality. The device includes at least means for initiating a beam panic mode based on the rate of change in the measured subset of beams having the best signal quality being less than a first threshold.The apparatus further includes means for disabling the beam panic mode based on at least the absence of change in a subset of the measured beam having the best signal quality, or the rate of change in a subset of the measured beam having the best signal quality being greater than a second threshold. The means may be a component 198 of the apparatus 904 configured to perform the enumerated functions by that means. As described above, the apparatus 904 may include a TX processor 368, an RX processor 356, and a controller / processor 359. Thus, in one configuration, the means may be a TX processor 368, an RX processor 356, and / or a controller / processor 359 configured to perform the enumerated functions by that means.

[0091] It should be understood that the specific order or hierarchy of blocks in the disclosed process / flowchart is an example of exemplary technique. It should be understood that the specific order or hierarchy of blocks in those process / flowcharts can be reconfigured based on design preferences. Furthermore, some blocks can be combined or omitted. The claims of the attached method present various block elements in exemplary order, and are not limited to the specific order or hierarchy presented.

[0092] The foregoing explanations are provided so that any person skilled in the art may practice the various embodiments described herein. Various modifications to these embodiments will be readily apparent to a person skilled in the art, and the general principles defined herein may also be applied to other embodiments. Therefore, the claims should not be limited to the embodiments described herein, but should be given the entire scope consistent with the wording of the claims. References to elements in the singular form should mean "one or more" rather than "only one" unless explicitly stated so. Terms such as "if," "when," and "while" do not imply an immediate temporal relationship or response. That is, these phrases, for example, "when," do not imply an immediate action in response to or during the occurrence of an action, but simply mean that an action will occur if the conditions are met, but without any specific or immediate temporal constraints for that action to occur. The word "exemplary" is used herein to mean "serving as an example, case, or illustration." None of the embodiments described herein as “exemplary” should be construed as necessarily preferable or advantageous to any other embodiment. Unless otherwise specified, the term “several” means one or more. Combinations such as “at least one of A, B, or C,” “one or more of A, B, or C,” “at least one of A, B, and C,” “one or more of A, B, and C,” and “A, B, C, or any combination thereof” include any combination of A, B, and / or C, and may include multiple A, multiple B, or multiple C.Specifically, combinations such as "at least one of A, B, or C," "one or more of A, B, or C," "at least one of A, B, and C," "one or more of A, B, and C," and "A, B, C, or any combination thereof" can be A only, B only, C only, A and B, A and C, B and C, or A and B and C, and any such combination may contain one or more elements of A, B, or C. A set should be interpreted as a set of elements, having one or more elements. Therefore, with respect to a set of X, X will contain one or more elements. When the first device receives data from or transmits data to the second device, that data can be received / transmitted directly between the first and second devices, or indirectly between the first and second devices through a set of devices. A device configured to “output” data such as transmissions, signals, or messages may, for example, use a transceiver to transmit data or send data to a device that transmits data. A device configured to “receive” data such as transmissions, signals, or messages may, for example, use a transceiver to receive data or receive data from a device that receives data. Information stored in memory includes instructions and / or data. All structural and functional equivalents to elements of various aspects described throughout this disclosure, whether known to those skilled in the art or to become known thereafter, are expressly incorporated herein by reference and are encompassed by the claims. Furthermore, nothing disclosed herein is intended to be made public, whether such disclosure is expressly enumerated in the claims or not. The terms “module,” “mechanism,” “element,” and “device” may not be substitutes for the term “means.” Therefore, no element of the claims should be interpreted as means plus function unless it is expressly enumerated using the phrase “means for.”

[0093] Where used herein, the phrase “based on” should not be interpreted as a reference to a closed set such as information, one or more conditions, one or more factors. In other words, the phrase “based on A” (where “A” may be information, a condition, a factor, etc.) shall be interpreted as “based on at least A” unless otherwise specified.

[0094] The following embodiments are illustrative and may be combined with other embodiments or teachings described herein without limitation.

[0095] Embodiment 1 is a method for wireless communication in a UE, comprising: measuring at least one subset of beams from a set of beams received from a network entity; monitoring changes in the measured subset of beams having the best signal quality; measuring the rate of change in the measured subset of beams having the best signal quality in response to detection of the occurrence of a change in the measured subset of beams having the best signal quality; and initiating a beam panic mode based on at least the rate of change in the measured subset of beams having the best signal quality being less than a first threshold.

[0096] Embodiment 2 is the method of Embodiment 1, further comprising disabling the beam panic mode based on at least the absence of change in a measured subset of beams having the best signal quality, or the rate of change in a measured subset of beams having the best signal quality being greater than a second threshold.

[0097] Embodiment 3 is the method of Embodiment 1 or 2, further comprising the fact that the measurement of at least one subset of the beam is performed depending on at least one of the following: the absence of change in the measured subset of beam having the best signal quality, the rate of change of the measured subset of beam having the best signal quality being greater than a second threshold, or the rate of change of the measured subset of beam having the best signal quality being less than a second threshold.

[0098] Embodiment 4 is the method of any one of embodiments 1 to 3, further comprising the measurement of at least one subset of the beam being performed in accordance with the rate of change of the measured subset of the beam having the best signal quality being greater than a first threshold.

[0099] Embodiment 5 is the method of any one of Embodiments 1 to 4, further comprising the measurement of at least one subset of the beam in response to the onset of a beam panic mode.

[0100] Embodiment 6 is the method according to any one of Embodiments 1 to 5, further comprising the beam panic mode including an increased rate of measurements of at least one subset of the beam.

[0101] Embodiment 7 is the method according to any one of Embodiments 1 to 6, further comprising the fact that at least one subset of the beams is configurable or pre-configured.

[0102] Embodiment 8 is the method of any one of Embodiments 1 to 7, further comprising the change in a subset of measured beams having the best signal quality by a new beam from the set of beams replacing at least one beam in the subset of measured beams having the best signal quality.

[0103] Embodiment 9 is a device for wireless communication in a UE, comprising a memory and at least one processor coupled to at least one transceiver and configured to implement any of embodiments 1 to 8.

[0104] Embodiment 10 is a device for wireless communication in a UE, which includes means for implementing any of Embodiments 1 to 8.

[0105] Embodiment 11 is a computer-readable medium for storing computer executable code, wherein when the code is executed by a processor, the medium causes the processor to implement any of Embodiments 1 to 8.

Claims

1. A device for wireless communication in user equipment (UE), At least one memory, At least one processor coupled to the at least one memory, The system comprises, and based at least partially on the information stored in the at least one memory, the at least one processor, Measure at least one subset of beams from the set of beams received from the network entity. Monitor the changes within the measured subset of beams having the best signal quality, In response to the detection of the occurrence of the change in the subset of the measured beam having the best signal quality, the rate of change in the subset of the measured beam having the best signal quality is measured. At a minimum, the beam panic mode is initiated based on the fact that the rate of change of the measured subset of the beam having the best signal quality is less than a first threshold. It is structured in such a way. Device.

2. The apparatus according to claim 1, further comprising a transceiver coupled to the at least one processor.

3. The aforementioned at least one processor, The system is configured to disable the beam panic mode based at least on the absence of the change in the subset of the measured beam having the best signal quality, or on the rate of the change in the subset of the measured beam having the best signal quality being greater than a second threshold. The apparatus according to claim 1.

4. The apparatus according to claim 1, wherein the measurement of at least one subset of the beam is performed according to at least one of the following: the absence of the change in the subset of the measured beam having the best signal quality; the rate of the change in the subset of the measured beam having the best signal quality being greater than a second threshold; or the rate of the change in the subset of the measured beam having the best signal quality being less than a second threshold.

5. The apparatus according to claim 1, wherein the measurement of at least one subset of the beam is performed in accordance with the rate of change of the subset of the measured beam having the best signal quality being greater than the first threshold.

6. The apparatus according to claim 1, wherein a measurement of at least one subset of the beam is performed in response to the onset of the beam panic mode.

7. The apparatus according to claim 1, wherein the beam panic mode includes an increased rate of measurement of at least one subset of the beam.

8. The apparatus according to claim 1, wherein at least one subset of the beam is configurable or pre-configured.

9. The apparatus according to claim 1, wherein the change in the subset of the measured beams having the best signal quality includes a new beam from the set of beams replacing at least one beam in the subset of the measured beams having the best signal quality.

10. A method of wireless communication in user equipment (UE), Measuring at least one subset of beams from the set of beams received from the network entity, Monitoring changes within the measured subset of beams having the best signal quality, In response to the detection of the occurrence of the change in the subset of the measured beam having the best signal quality, the rate of change in the subset of the measured beam having the best signal quality is measured. At a minimum, the beam panic mode is initiated based on the fact that the rate of change of the measured subset of the beam having the best signal quality is less than a first threshold, Methods that include...

11. The method according to claim 10, further comprising disabling the beam panic mode based on at least the absence of the change in the subset of the measured beam having the best signal quality, or the rate of the change in the subset of the measured beam having the best signal quality being greater than a second threshold.

12. The method according to claim 10, wherein the measurement of at least one subset of the beam is performed according to at least one of the following: the absence of the change in the subset of the measured beam having the best signal quality; the rate of the change in the subset of the measured beam having the best signal quality being greater than a second threshold; or the rate of the change in the subset of the measured beam having the best signal quality being less than a second threshold.

13. The method according to claim 10, wherein the measurement of at least one subset of the beam is performed in accordance with the fact that the rate of change of the subset of the measured beam having the best signal quality is greater than the first threshold.

14. The method according to claim 10, wherein a measurement of at least one subset of the beam is performed in response to the onset of the beam panic mode.

15. The method according to claim 10, wherein the beam panic mode includes an increased rate of measurements of at least one subset of the beam.

16. The method according to claim 10, wherein at least one subset of the beam is configurable or pre-configured.

17. The method according to claim 10, wherein the change in the subset of the measured beams having the best signal quality includes a new beam from the set of beams replacing at least one beam in the subset of the measured beams having the best signal quality.

18. A device for wireless communication in user equipment (UE), Means for measuring at least one subset of beams from a set of beams received from a network entity, Means for monitoring changes within the measured subset of beams having the best signal quality, In response to the detection of the occurrence of the change in the subset of the measured beam having the best signal quality, means for measuring the rate of the change in the subset of the measured beam having the best signal quality, Means for initiating a beam panic mode based on the fact that the rate of change of the measured subset of the beam having the best signal quality is less than a first threshold, A device equipped with the following features.

19. The apparatus according to claim 18, further comprising means for disabling the beam panic mode based at least on the absence of the change in the subset of the measured beam having the best signal quality, or on the rate of the change in the subset of the measured beam having the best signal quality being greater than a second threshold.

20. The apparatus according to claim 18, wherein the measurement of at least one subset of the beam is performed according to at least one of the following: the absence of the change in the subset of the measured beam having the best signal quality; the rate of the change in the subset of the measured beam having the best signal quality being greater than a second threshold; or the rate of the change in the subset of the measured beam having the best signal quality being less than a second threshold.

21. The apparatus according to claim 18, wherein the measurement of at least one subset of the beam is performed in accordance with the rate of change of the subset of the measured beam having the best signal quality being greater than the first threshold.

22. The apparatus according to claim 18, wherein a measurement of at least one subset of the beam is performed in response to the onset of the beam panic mode.

23. The apparatus according to claim 18, wherein the beam panic mode includes an increased rate of measurement of at least one subset of the beam.

24. The apparatus according to claim 18, wherein at least one subset of the beams is configurable or pre-configured.

25. The apparatus according to claim 18, wherein the change in the subset of the measured beams having the best signal quality includes a new beam from the set of beams replacing at least one beam in the subset of the measured beams having the best signal quality.

26. A computer-readable storage medium for storing computer executable code in user equipment (UE), wherein when the code is executed by a processor, the processor... We have at least one subset of beams from the set of beams received from the network entity measured. To monitor changes within the measured subset of beams having the best signal quality, In response to the detection of the occurrence of the change in the subset of the measured beam having the best signal quality, the rate of change in the subset of the measured beam having the best signal quality is measured. At a minimum, the beam panic mode is initiated based on the fact that the rate of change of the measured subset of the beam having the best signal quality is less than a first threshold. Computer-readable storage medium.

27. When the aforementioned code is executed by the processor, the processor will: The beam panic mode is disabled based at least on the absence of the change in the subset of the measured beam having the best signal quality, or on the rate of the change in the subset of the measured beam having the best signal quality being greater than a second threshold. The computer-readable storage medium according to claim 26.

28. The computer-readable storage medium according to claim 26, wherein the measurement of at least one subset of the beam is performed according to at least one of the following: the absence of the change in the subset of the measured beam having the best signal quality; the rate of the change in the subset of the measured beam having the best signal quality being greater than a second threshold; or the rate of the change in the subset of the measured beam having the best signal quality being less than a second threshold.

29. The computer-readable storage medium according to claim 26, wherein the measurement of at least one subset of the beam is performed in accordance with the rate of change of the subset of the measured beam having the best signal quality being greater than the first threshold.

30. The computer-readable storage medium according to claim 26, wherein a measurement of at least one subset of the beam is performed in response to the commencement of the beam panic mode.

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