Perceptual assisted beam management procedure

Abstract

Aspects of the present disclosure generally relate to wireless communications. In some aspects, a user equipment (UE) may send, to a network entity, an indication of whether the UE is capable of performing a perceived assisted beam management procedure. The UE may receive, from the network entity, a configuration indicating whether the UE should perform the perceived assisted beam management procedure based, at least in part, on the indication of whether the UE is capable of performing the perceived assisted beam management procedure. Numerous other aspects are described.

Description

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This patent application claims priority to U.S. Patent Application No. 17 / 662,824, filed on May 10, 2022, entitled “PERCEPTION-ASSISTED BEAM MANAGEMENT PROCEDURES” and assigned to the assignee of this patent application. The disclosure of the prior application is considered a part of this patent application and is incorporated by reference into this patent application. Technical Field

[0003] Aspects of the present disclosure relate generally to wireless communications, and to techniques and apparatus for perceptually assisted beam management procedures. Background Art

[0004] Wireless communication systems are widely deployed to provide a variety of telecommunication services, such as telephony, video, data, messaging, and broadcasting. Typical wireless communication systems may employ multiple access technologies that can support communication with multiple users by sharing available system resources (e.g., bandwidth, transmit power, etc.). Examples of such multiple access technologies include code division multiple access (CDMA) systems, time division multiple access (TDMA) systems, frequency division multiple access (FDMA) systems, orthogonal frequency division multiple access (OFDMA) systems, single carrier frequency division multiple access (SC-FDMA) systems, time division synchronous code division multiple access (TD-SCDMA) systems, and long term evolution (LTE). LTE / LTE-Advanced is a set of enhancements to the Universal Mobile Telecommunications System (UMTS) mobile standard promulgated by the Third Generation Partnership Project (3GPP).

[0005] A wireless network may include one or more base stations that support communications for a user equipment (UE) or multiple UEs. A UE may communicate with a base station via downlink communications and uplink communications. A "downlink" (or "DL") refers to the communication link from a base station to a UE, and an "uplink" (or "UL") refers to the communication link from a UE to a base station.

[0006] The above-mentioned multiple access technologies have been adopted in various telecommunication standards to provide a common protocol that enables different UEs to communicate at a city, country, region and / or global level. New Radio (NR) (which may be referred to as 5G) is a set of enhancements to the LTE mobile standard promulgated by 3GPP. NR is designed to better integrate with other open standards by improving spectrum efficiency, reducing costs, improving services, utilizing new spectrum, and using orthogonal frequency division multiplexing (OFDM) (CP-OFDM) with cyclic prefix (CP) on the downlink, using CP-OFDM and / or single carrier frequency division multiplexing (SC-FDM) (also known as discrete Fourier transform spread OFDM (DFT-s-OFDM)) on the uplink, and supporting beamforming, multiple input multiple output (MIMO) antenna technology and carrier aggregation, so as to better support mobile broadband Internet access. As the demand for mobile broadband access continues to increase, further improvements in LTE, NR and other radio access technologies remain useful. Summary of the invention

[0007] Some aspects described herein relate to a method of wireless communication performed by a user equipment (UE). The method may include: sending an indication to a network entity whether the UE is capable of performing a cognitive assisted beam management procedure. The method may include: receiving a configuration from the network entity indicating whether the UE should perform the cognitive assisted beam management procedure based at least in part on the indication of whether the UE is capable of performing the cognitive assisted beam management procedure.

[0008] Some aspects described herein relate to a method of wireless communication performed by a network entity. The method may include: receiving an indication from a UE whether the UE is capable of performing a cognitive assisted beam management procedure. The method may include: sending a configuration to the UE indicating whether the UE should perform the cognitive assisted beam management procedure based at least in part on the indication of whether the UE is capable of performing the cognitive assisted beam management procedure.

[0009] Some aspects described herein relate to an apparatus for wireless communication at a UE. The apparatus may include a memory and one or more processors coupled to the memory. The one or more processors may be configured to send an indication to a network entity of whether the UE is capable of performing a cognitive auxiliary beam management procedure. The one or more processors may be configured to receive a configuration from the network entity indicating whether the UE should perform the cognitive auxiliary beam management procedure based at least in part on the indication of whether the UE is capable of performing the cognitive auxiliary beam management procedure.

[0010] Some aspects described herein relate to an apparatus for wireless communication at a network entity. The apparatus may include a memory and one or more processors coupled to the memory. The one or more processors may be configured to receive an indication from a UE as to whether the UE is capable of performing a cognitive auxiliary beam management procedure. The one or more processors may be configured to send a configuration to the UE indicating whether the UE should perform the cognitive auxiliary beam management procedure based at least in part on the indication of whether the UE is capable of performing the cognitive auxiliary beam management procedure.

[0011] Some aspects described herein relate to a non-transitory computer-readable medium storing an instruction set for wireless communication by a UE. The instruction set, when executed by one or more processors of the UE, may cause the UE to send an indication to a network entity as to whether the UE is capable of performing a cognitive auxiliary beam management procedure. The instruction set, when executed by one or more processors of the UE, may cause the UE to receive a configuration from the network entity indicating whether the UE should perform the cognitive auxiliary beam management procedure based at least in part on the indication of whether the UE is capable of performing the cognitive auxiliary beam management procedure.

[0012] Some aspects described herein relate to a non-transitory computer-readable medium storing an instruction set for wireless communication by a network entity. The instruction set, when executed by one or more processors of the network entity, may cause the network entity to receive an indication from a UE as to whether the UE is capable of performing a cognitive auxiliary beam management procedure. The instruction set, when executed by one or more processors of the network entity, may cause the network entity to send a configuration to the UE indicating whether the UE should perform the cognitive auxiliary beam management procedure based at least in part on the indication of whether the UE is capable of performing the cognitive auxiliary beam management procedure.

[0013] Some aspects described herein relate to an apparatus for wireless communication. The apparatus may include means for sending an indication to a network entity of whether the apparatus is capable of performing a cognitive assisted beam management procedure. The apparatus may include means for receiving, from the network entity, a configuration indicating whether the apparatus should perform the cognitive assisted beam management procedure based at least in part on the indication of whether the apparatus is capable of performing the cognitive assisted beam management procedure.

[0014] Some aspects described herein relate to an apparatus for wireless communication. The apparatus may include means for receiving, from a UE means, an indication of whether the UE is capable of performing a cognitive assisted beam management procedure. The apparatus may include means for sending, to the UE, a configuration indicating whether the UE should perform the cognitive assisted beam management procedure based at least in part on the indication of whether the UE is capable of performing the cognitive assisted beam management procedure.

[0015] Aspects of the present invention generally include methods, apparatus, systems, computer program products, non-transitory computer-readable media, user equipment, base stations, wireless communication devices and / or processing systems as fully described herein with reference to the accompanying drawings and descriptions and as illustrated in the accompanying drawings and descriptions.

[0016] The features and technical advantages of examples according to the present disclosure have been outlined quite extensively above so that the following specific embodiments may be better understood. Additional features and advantages will be described below. The disclosed concepts and specific examples may be easily used as a basis for modifying or designing other structures for achieving the same purpose of the present disclosure. Such equivalent constructions do not depart from the scope of the appended claims. The characteristics of the concepts disclosed herein, both in terms of their organization and method of operation, and the associated advantages will be better understood by considering the following description in conjunction with the accompanying drawings. Each of the figures in the accompanying drawings is provided for the purpose of illustration and description and not as a definition of limitations to the claims.

[0017] Although various aspects are described in the present disclosure by illustrating some examples, it will be understood by those skilled in the art that such aspects can be implemented in many different arrangements and scenarios. The technology described herein can be implemented using different platform types, devices, systems, shapes, sizes and / or packaging arrangements. For example, some aspects can be implemented via integrated chip implementations or other devices based on non-module components (e.g., end-user devices, vehicles, communication equipment, computing equipment, industrial equipment, retail / shopping equipment, medical equipment, and / or artificial intelligence devices). Various aspects can be implemented in chip-level components, modular components, non-modular components, non-chip-level components, device-level components and / or system-level components. The equipment incorporating the various aspects and features described may include additional components and features for implementing and practicing the various aspects claimed and described. For example, the transmission and reception of wireless signals may include one or more components (e.g., hardware components, including antennas, radio frequency (RF) chains, power amplifiers, modulators, buffers, processors, interleavers, adders and / or summers) for analog and digital purposes. The various aspects described herein are intended to be practiced in various devices, components, systems, distributed arrangements, and / or end-user devices of various sizes, shapes and configurations. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to fully understand the above-mentioned features of the present disclosure, a more specific description of the invention briefly summarized above can be obtained by referring to various aspects (some of which are illustrated in the accompanying drawings). However, it should be noted that the accompanying drawings only illustrate certain typical aspects of the present disclosure and are therefore not to be considered as limiting the scope thereof, as the specification may admit other equally effective aspects. The same reference numerals in different drawings may identify the same or similar elements.

[0019] Figure 1 is a diagram illustrating an example of a wireless network according to the present disclosure.

[0020] Figure 2 is a diagram illustrating an example of communication between a base station and a user equipment (UE) in a wireless network according to the present disclosure.

[0021] Figure 3 is a diagram illustrating an example of an open radio access network architecture according to the present disclosure.

[0022] Figure 4 is a diagram illustrating an example of physical channels and reference signals in a wireless network according to the present disclosure.

[0023] Figure 5 is a diagram illustrating an example of a channel state information reference signal beam management procedure according to the present disclosure.

[0024] Figure 6 is a diagram illustrating an example associated with an adaptive beam weight learning procedure according to the present disclosure.

[0025] Figure 7 is a diagram illustrating an example associated with perception-assisted sensing according to the present disclosure.

[0026] Figure 8 is a diagram illustrating an example associated with perception-assisted adaptive beam weight learning according to the present disclosure.

[0027] Fig. 9 is a diagram of an example associated with a cognitive assisted beam management procedure according to the present disclosure.

[0028] Fig.10 is a diagram illustrating an example process performed, for example, by a UE according to the present disclosure.

[0029] Fig.11 is a diagram illustrating an example process performed, for example, by a network entity according to the present disclosure.

[0030] Fig.12 is a diagram of an example apparatus for wireless communications in accordance with the present invention.

[0031] Fig.13 is a diagram of an example apparatus for wireless communications in accordance with the present invention. DETAILED DESCRIPTION

[0032] The various aspects of the present disclosure are described more fully below with reference to the accompanying drawings. However, the present disclosure can be embodied in many different forms, and should not be construed as being limited to any specific structure or function presented throughout the present disclosure. On the contrary, these aspects are provided so that the present disclosure will be thorough and complete, and the scope of the present disclosure will be fully conveyed to those skilled in the art. It should be understood by those skilled in the art that the scope of the present disclosure is intended to cover any aspect of the disclosure disclosed herein, whether it is implemented independently or in combination with any other aspect of the present disclosure. For example, any number of aspects set forth herein may be used to implement a device or practice method. In addition, the scope of the present disclosure is intended to cover such devices or methods implemented using other structures, functionality, or structures and functionality in addition to or different from the various aspects of the disclosure set forth herein. It should be understood that any aspect of the disclosure disclosed herein may be embodied by one or more elements of the claims.

[0033] Several aspects of telecommunication systems will now be presented with reference to various devices and techniques. These devices and techniques will be described in the following detailed description and illustrated in the accompanying drawings by various blocks, modules, components, circuits, steps, processes, algorithms, etc. (collectively referred to as "elements"). These elements can be implemented using hardware, software, or a combination thereof. Whether these elements are implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system.

[0034] Although various aspects may be described herein using terms generally associated with 5G or new radio (NR) radio access technologies (RATs), various aspects of the present disclosure may be applicable to other RATs, such as 3G RATs, 4G RATs, and / or post-5G RATs (e.g., 6G).

[0035] Figure 1 1 is a diagram illustrating an example of a wireless network 100 according to the present disclosure. The wireless network 100 may be or may include elements of a 5G (e.g., NR) network and / or a 4G (e.g., Long Term Evolution (LTE)) network, etc. The wireless network 100 may include one or more base stations 110 (shown as BS110a, BS110b, BS110c, and BS110d), a user equipment (UE) 120 or multiple UEs 120 (shown as UE 120a, UE 120b, UE 120c, UE 120d, and UE 120e), and / or other network entities. The base station 110 is an entity that communicates with the UE 120. The base station 110 (sometimes referred to as a BS) may include, for example, an NR base station, an LTE base station, a Node B, an eNB (e.g., in 4G), a gNB (e.g., in 5G), an access point, and / or a transmit receive point (TRP). In addition, although the base station 110 is in Figure 11 is shown as an integral unit, but aspects of the present disclosure are not limited thereto. In some other aspects, the functionality of base station 110 may be decomposed according to an open radio access network (O-RAN) architecture, etc., which will be combined with Figure 3 In some aspects, the "network entity" described herein may refer to a base station 110 or one or more decomposed parts of a base station 110. Each base station 110 may provide communication coverage for a particular geographic area. In the Third Generation Partnership Project (3GPP), the term "cell" may refer to a coverage area of ​​a base station 110 and / or a base station subsystem serving the coverage area, depending on the context in which the term is used.

[0036] Base station 110 may provide communication coverage for a macro cell, a pico cell, a femto cell, and / or another type of cell. A macro cell may cover a relatively large geographic area (e.g., a radius of several kilometers) and may allow unrestricted access by UE 120 with a service subscription. A pico cell may cover a relatively small geographic area and may allow unrestricted access by UE 120 with a service subscription. A femto cell may cover a relatively small geographic area (e.g., a home) and may allow restricted access by UE 120 associated with the femto cell (e.g., UE 120 in a closed subscriber group (CSG)). A base station 110 for a macro cell may be referred to as a macro base station. A base station 110 for a pico cell may be referred to as a pico base station. A base station 110 for a femto cell may be referred to as a femto base station or a home base station. In Figure 1 In the example shown in , BS 110a may be a macro base station for macro cell 102a, BS 110b may be a pico base station for pico cell 102b, and BS 110c may be a femto base station for femto cell 102c. A base station may support one or more (eg, three) cells.

[0037] In some examples, the cell may not necessarily be fixed, and the geographic area of ​​the cell may move according to the location of the mobile base station 110 (e.g., a mobile base station). In some examples, the base station 110 can be interconnected with each other and / or to one or more other base stations 110 or network nodes (not shown) in the wireless network 100 through various types of backhaul interfaces, such as direct physical connections or virtual networks, using any suitable transport network.

[0038] The wireless network 100 may include one or more relay stations. A relay station is an entity that can receive transmissions of data from an upstream station (e.g., a base station 110 or a UE 120) and transmit transmissions of data to a downstream station (e.g., a UE 120 or a base station 110). A relay station may be a UE 120 that is capable of relaying transmissions for other UEs 120. Figure 1In the example shown in FIG, BS 110d (eg, a relay base station) may communicate with BS 110a (eg, a macro base station) and UE 120d to facilitate communication between BS 110a and UE 120d. Base station 110 that relays communication may be referred to as a relay station, relay base station, relay, or the like.

[0039] The wireless network 100 may be a heterogeneous network that includes different types of base stations 110, such as macro base stations, pico base stations, femto base stations, relay base stations, etc. These different types of base stations 110 may have different transmit power levels, different coverage areas, and / or different impacts on interference in the wireless network 100. For example, a macro base station may have a high transmit power level (e.g., 5 watts to 40 watts), while a pico base station, a femto base station, and a relay base station may have a lower transmit power level (e.g., 0.1 watt to 2 watts).

[0040] A network controller 130 may be coupled to or in communication with a set of base stations 110 and may provide coordination and control for the base stations 110. The network controller 130 may communicate with the base stations 110 via backhaul communication links. The base stations 110 may also communicate directly with each other or indirectly via wireless or wired backhaul communication links.

[0041] UE 120 may be distributed throughout wireless network 100, and each UE 120 may be stationary or mobile. UE 120 may include, for example, an access terminal, a terminal, a mobile station, and / or a subscriber unit. UE 120 may be a cellular phone (e.g., a smart phone), a personal digital assistant (PDA), a wireless modem, a wireless communication device, a handheld device, a laptop computer, a cordless phone, a wireless local loop (WLL) station, a tablet computer, a camera, a gaming device, a netbook, a smartbook, an ultrabook, a medical device, a biometric device, a wearable device (e.g., a smart watch, smart clothing, smart glasses, a smart wristband, smart jewelry (e.g., a smart ring or a smart bracelet)), an entertainment device (e.g., a music device, a video device, and / or a satellite radio), a vehicle component or sensor, a smart meter / sensor, an industrial manufacturing equipment, a global positioning system device, and / or any other suitable device configured to communicate via a wireless medium.

[0042] Some UEs 120 may be considered as machine type communication (MTC) or evolved or enhanced machine type communication (eMTC) UEs. MTC UEs and / or eMTC UEs may include, for example, robots, drones, remote devices, sensors, meters, monitors, and / or location tags that may communicate with a base station, another device (e.g., a remote device), or some other entity. Some UEs 120 may be considered as Internet of Things (IoT) devices and / or may be implemented as NB-IoT (narrowband IoT) devices. Some UEs 120 may be considered as customer premises equipment. UE 120 may be included in a housing that houses components of UE 120, such as a processor component and / or a memory component. In some examples, the processor component and the memory component may be coupled together. For example, a processor component (e.g., one or more processors) and a memory component (e.g., a memory) may be operably coupled, communicatively coupled, electronically coupled, and / or electrically coupled.

[0043] In general, any number of wireless networks 100 may be deployed in a given geographic area. Each wireless network 100 may support a specific RAT and may operate on one or more frequencies. RAT may be referred to as a radio technology, air interface, etc. Frequency may be referred to as a carrier, frequency channel, etc. Each frequency may support a single RAT in a given geographic area to avoid interference between wireless networks of different RATs. In some cases, NR or 5G RAT networks may be deployed.

[0044] In some examples, two or more UEs 120 (e.g., shown as UE 120a and UE 120e) may communicate directly using one or more side link channels (e.g., without using base station 110 as an intermediary to communicate with each other). For example, UE 120 may communicate using peer-to-peer (P2P) communication, device-to-device (D2D) communication, vehicle-to-everything (V2X) protocols (e.g., which may include vehicle-to-vehicle (V2V) protocols, vehicle-to-infrastructure (V2I) protocols, or vehicle-to-pedestrian (V2P) protocols), and / or mesh networks. In such examples, UE 120 may perform scheduling operations, resource selection operations, and / or other operations described elsewhere herein as being performed by base station 110.

[0045] The devices of the wireless network 100 may communicate using an electromagnetic spectrum, which may be subdivided into various categories, bands, channels, etc., based on frequency or wavelength. For example, the devices of the wireless network 100 may communicate using one or more operating bands. In 5G NR, two initial operating bands have been identified as frequency ranges designated FR1 (410 MHz–7.125 GHz) and FR2 (24.25 GHz–52.6 GHz). It should be understood that, although portions of FR1 are greater than 6 GHz, FR1 is often (interchangeably) referred to as the “below 6 GHz” band in various documents and articles. Similar naming issues sometimes occur with respect to FR2, which is often (interchangeably) referred to as the “millimeter wave” band in documents and articles, although different from the extremely high frequency (EHF) band (30 GHz–300 GHz) identified as the “millimeter wave” band by the International Telecommunication Union (ITU).

[0046] Frequencies between FR1 and FR2 are generally referred to as mid-band frequencies. Recent 5G NR research has identified the operating bands for these mid-band frequencies as frequency range designation FR3 (7.125GHz–24.25GHz). The bands falling within FR3 can inherit FR1 characteristics and / or FR2 characteristics, and therefore the features of FR1 and / or FR2 can be effectively extended to mid-band frequencies. In addition, higher frequency bands are currently being explored to extend 5G NR operations to more than 52.6GHz. For example, three higher operating bands have been identified as frequency range designations FR4a or FR4-1 (52.6GHz–71GHz), FR4 (52.6GHz–114.25GHz), and FR5 (114.25GHz–300GHz). Each of these higher frequency bands falls within the EHF band.

[0047] Considering the above examples, unless otherwise explicitly stated, it should be understood that if the term "below 6 GHz" or the like is used herein, the term may broadly refer to frequencies that may be lower than 6 GHz, may be within FR1, or may include mid-band frequencies. In addition, unless otherwise explicitly stated, it should be understood that if the term "millimeter wave" or the like is used herein, the term may broadly refer to frequencies that may include mid-band frequencies, may be within FR2, FR4, FR4-a or FR4-1, and / or FR5, or may be within the EHF band. It is contemplated that the frequencies included in these operating bands (e.g., FR1, FR2, FR3, FR4, FR4-a, FR4-1, and / or FR5) may be modified, and the techniques described herein are applicable to those modified frequency ranges.

[0048] In some aspects, UE 120 may include a communication manager 140. As described in more detail elsewhere herein, the communication manager 140 may send an indication to a network entity of whether UE 120 is capable of performing a cognitive auxiliary beam management procedure; and based at least in part on the indication of whether UE 120 is capable of performing the cognitive auxiliary beam management procedure, receive a configuration from the network entity indicating whether UE 120 should perform the cognitive auxiliary beam management procedure. Additionally or alternatively, the communication manager 140 may perform one or more other operations described herein.

[0049] In some aspects, the network entity described herein may be associated with the base station 110 (e.g., may be the base station 110 or may be one or more decomposed parts of the base station 110). The network entity may include a communication manager 150. As described in more detail elsewhere herein, the communication manager 150 may receive an indication from a UE (e.g., UE 120) as to whether the UE is capable of performing a cognitive assisted beam management procedure; and send a configuration to the UE indicating whether the UE should perform the cognitive assisted beam management procedure based at least in part on the indication of whether the UE is capable of performing the cognitive assisted beam management procedure. Additionally or alternatively, the communication manager 150 may perform one or more other operations described herein.

[0050] As indicated above, Figure 1 are provided as examples. Other examples can be found in the Figure 1 Described differently.

[0051] Figure 2 2 is a diagram illustrating an example 200 of base station 110 communicating with UE 120 in wireless network 100 according to the present disclosure. Base station 110 may be equipped with a set of antennas 234a to 234t, such as T antennas (T≥1). UE 120 may be equipped with a set of antennas 252a to 252r, such as R antennas (R≥1).

[0052] At the base station 110, the transmit processor 220 may receive data intended for the UE 120 (or a set of UEs 120) from the data source 212. The transmit processor 220 may select one or more modulation and coding schemes (MCS) for the UE 120 based at least in part on one or more channel quality indicators (CQI) received from the UE 120. The base station 110 may process (e.g., encode and modulate) the data for the UE 120 based at least in part on the MCS selected for the UE 120, and provide data symbols for the UE 120. The transmit processor 220 may process system information (e.g., for semi-static resource partitioning information (SRPI)) and control information (e.g., CQI requests, grants, and / or upper layer signaling), and provide overhead symbols and control symbols. The transmit processor 220 may generate reference symbols for reference signals (e.g., cell-specific reference signals (CRS) or demodulation reference signals (DMRS)) and synchronization signals (e.g., primary synchronization signals (PSS) or secondary synchronization signals (SSS)). The transmit (TX) multiple-input multiple-output (MIMO) processor 230 may perform spatial processing (e.g., pre-coding) on ​​data symbols, control symbols, overhead symbols, and / or reference symbols, where applicable, and may provide a set of output symbol streams (e.g., T output symbol streams) to a corresponding set of modems 232 (e.g., T modulators) (shown as modems 232a to 232t). For example, each output symbol stream may be provided to a modulator component (shown as MOD) of the modem 232. Each modem 232 may process a corresponding output symbol stream (e.g., for OFDM) using a corresponding modulator component to obtain an output sample stream. Each modem 232 may further process (e.g., convert to analog, amplify, filter, and / or up-convert) the output sample stream using a corresponding modulator component to obtain a downlink signal. The modems 232a to 232t may transmit a set of downlink signals (e.g., T downlink signals) via a corresponding set of antennas 234 (e.g., T antennas) (shown as antennas 234a to 234t).

[0053] At the UE 120, a set of antennas 252 (shown as antennas 252a to 252r) may receive downlink signals from the base station 110 and / or other base stations 110, and may provide a set of received signals (e.g., R received signals) to a set of modems 254 (e.g., R modems) (shown as modems 254a to 254r). For example, each received signal may be provided to a demodulator component (shown as DEMOD) of the modem 254. Each modem 254 may use a corresponding demodulator component to condition (e.g., filter, amplify, downconvert, and / or digitize) the received signal to obtain input samples. Each modem 254 may use a demodulator component to further process the input samples (e.g., for OFDM) to obtain received symbols. A MIMO detector 256 may obtain received symbols from the modem 254, may perform MIMO detection on the received symbols where applicable, and may provide detected symbols. The receive processor 258 may process (e.g., demodulate and decode) the detected symbols, may provide decoded data for the UE 120 to the data sink 260, and may provide decoded control information and system information to the controller / processor 280. The term "controller / processor" may refer to one or more controllers, one or more processors, or a combination thereof. The channel processor may determine a reference signal received power (RSRP) parameter, a received signal strength indicator (RSSI) parameter, a reference signal received quality (RSRQ) parameter, and / or a CQI parameter, among other things. In some examples, one or more components of the UE 120 may be included in the housing 284.

[0054] The network controller 130 may include a communication unit 294, a controller / processor 290, and a memory 292. The network controller 130 may include, for example, one or more devices in a core network. The network controller 130 may communicate with the base station 110 via the communication unit 294.

[0055] One or more antennas (e.g., antennas 234a to 234t and / or antennas 252a to 252r) may include or be included within one or more antenna panels, one or more antenna groups, one or more sets of antenna elements, and / or one or more antenna arrays, etc. Antenna panels, antenna groups, sets of antenna elements, and / or antenna arrays may include one or more antenna elements (in a single housing or multiple housings), sets of coplanar antenna elements, sets of non-coplanar antenna elements, and / or coupled to one or more transmit and / or receive components (such as, Figure 2 One or more antenna elements of one or more components in.

[0056] On the uplink, at the UE 120, the transmit processor 264 may receive and process data from the data source 262 and control information from the controller / processor 280 (e.g., for reports including RSRP, RSSI, RSRQ, and / or CQI). The transmit processor 264 may generate reference symbols for one or more reference signals. The symbols from the transmit processor 264 may be pre-decoded by the TX MIMO processor 266, where applicable, further processed by the modem 254 (e.g., for DFT-s-OFDM or CP-OFDM), and transmitted to the base station 110. In some examples, the modem 254 of the UE 120 may include a modulator and a demodulator. In some examples, the UE 120 includes a transceiver. The transceiver may include any combination of an antenna 252, a modem 254, a MIMO detector 256, a receive processor 258, a transmit processor 264, and / or a TX MIMO processor 266. The transceiver may be used by a processor (eg, controller / processor 280) and memory 282 to perform the functions described herein (eg, with reference to Figures 7 to 13 ) or any aspects of any of the methods described herein.

[0057] At the base station 110, uplink signals from the UE 120 and / or other UEs may be received by the antenna 234, processed by the modem 232 (e.g., a demodulator component of the modem 232 shown as DEMOD), detected by the MIMO detector 236 where applicable, and further processed by the receive processor 238 to obtain decoded data and control information transmitted by the UE 120. The receive processor 238 may provide the decoded data to the data sink 239 and the decoded control information to the controller / processor 240. The base station 110 may include a communication unit 244 and may communicate with the network controller 130 via the communication unit 244. The base station 110 may include a scheduler 246 to schedule one or more UEs 120 for downlink and / or uplink communications. In some examples, the modem 232 of the base station 110 may include a modulator and a demodulator. In some examples, the base station 110 includes a transceiver. The transceiver may include any combination of antenna 234, modem 232, MIMO detector 236, receive processor 238, transmit processor 220, and / or TX MIMO processor 230. The transceiver may be used by a processor (e.g., controller / processor 240) and memory 242 to execute the instructions described herein (e.g., reference 20). Figures 7 to 13 ) or any aspects of any of the methods described herein.

[0058] The controller / processor 240 of the base station 110, the controller / processor 280 of the UE 120, and / or Figure 2Any other components of may perform one or more techniques associated with the perception-assisted beam management procedure as described in more detail elsewhere herein. In some aspects, the network entity described herein is a base station 110, is included in a base station 110, or includes Figure 2 One or more components of the base station 110 are shown. The controller / processor 240 of the base station 110, the controller / processor 280 of the UE 120, and / or Figure 2 Any other component of the Fig.10 The process of 1000 Fig.11 1100 and / or other processes described herein. Memory 242 and memory 282 may store data and program codes for base station 110 and UE 120, respectively. In some examples, memory 242 and / or memory 282 may include a non-transitory computer-readable medium storing one or more instructions (e.g., code and / or program code) for wireless communication. For example, the one or more instructions, when executed by one or more processors of base station 110 and / or UE 120 (e.g., directly executed, or executed after compilation, conversion and / or interpretation), may cause the one or more processors, UE 120 and / or base station 110 to perform or direct, for example, Fig.10 The process of 1000 Fig.11 The process 1100 and / or operations of other processes as described herein. In some examples, executing instructions may include running instructions, converting instructions, compiling instructions, and / or interpreting instructions, etc.

[0059] Although Figure 2 The blocks in the 200 and 210 are illustrated as distinct components, but the functionality described above with respect to these blocks may be implemented in a single hardware, software, or combined component or in various combinations of components. For example, the functionality described with respect to the transmit processor 264, the receive processor 258, and / or the TX MIMO processor 266 may be performed by or under the control of the controller / processor 280.

[0060] As indicated above, Figure 2 are provided as examples. Other examples can be found in the Figure 2 Described differently.

[0061] Figure 3 3 is a diagram illustrating an example 300 of an O-RAN architecture according to the present disclosure. Figure 3As shown, the O-RAN architecture may include a centralized unit (CU) 310 that communicates with a core network 320 via a backhaul link. In addition, the CU 310 may communicate with one or more distributed units (DU) 330 via corresponding midhaul links. The DU 330 may each communicate with one or more radio units (RU) 340 via corresponding fronthaul links, and the RU 340 may each communicate with a corresponding UE 120 via a radio frequency (RF) access link. The DU 330 and the RU 340 may also be referred to as O-RAN DU (O-DU) 330 and O-RAN RU (O-RU) 340, respectively.

[0062] In some aspects, the DU 330 and the RU 340 may be implemented according to a functional split architecture, wherein the functionality of a base station 110 (e.g., an eNB or gNB) is provided by the DU 330 and one or more RUs 340 that communicate via a fronthaul link. Thus, as described herein, the base station 110 may include a DU 330 and one or more RUs 340, which may be co-located or geographically distributed. In some aspects, the DU 330 and the associated RU 340 may communicate via the fronthaul link to exchange real-time control plane information via a lower layer split (LLS) control plane (LLS-C) interface, non-real-time management information via an LLS management plane (LLS-M) interface, and / or user plane information via an LLS user plane (LLS-U) interface.

[0063] Thus, the DU 330 may correspond to a logical unit that includes one or more base station functions for controlling the operation of one or more RUs 340. For example, in some aspects, the DU 330 may host a radio link control (RLC) layer, a medium access control (MAC) layer, and one or more high physical (PHY) layers (e.g., forward error correction (FEC) encoding and decoding, scrambling, and / or modulation and demodulation) based at least in part on the lower layer functional split. Higher layer control functions (such as packet data convergence protocol (PDCP), radio resource control (RRC), and / or service data adaptation protocol (SDAP)) may be hosted by the CU 310. Based at least in part on the lower layer functional split, the RU 340 controlled by the DU 330 may correspond to a logical node that hosts RF processing functions and low PHY layer functions (e.g., fast Fourier transform (FFT), inverse FFT (iFFT), digital beamforming, and / or physical random access channel (PRACH) extraction and filtering). Thus, in the O-RAN architecture, the RU 340 handles all over-the-air (OTA) communications with the UE 120, and the real-time and non-real-time aspects of the control plane and user plane communications with the RU 340 are controlled by the corresponding DU 330, which enables the DU 330 and the CU 310 to be implemented in a cloud-based RAN architecture.

[0064] As indicated above, Figure 3 are provided as examples. Other examples can be found in the Figure 3 Described differently.

[0065] Figure 4 4 is a diagram illustrating an example 400 of physical channels and reference signals in a wireless network according to the present disclosure. Figure 4 As shown, the downlink channel and the downlink reference signal may carry information from base station 110 to UE 120 , and the uplink channel and the uplink reference signal may carry information from UE 120 to base station 110 .

[0066] As shown, the downlink channel may include a physical downlink control channel (PDCCH) carrying downlink control information (DCI), a physical downlink shared channel (PDSCH) carrying downlink data, or a physical broadcast channel (PBCH) carrying system information, etc. In some aspects, PDSCH communication may be scheduled by PDCCH communication. As further shown, the uplink channel may include a physical uplink control channel (PUCCH) carrying uplink control information (UCI), a physical uplink shared channel (PUSCH) carrying uplink data, or a PRACH for initial network access, etc. In some aspects, UE 120 may send an acknowledgement (ACK) or negative acknowledgement (NACK) feedback (e.g., ACK / NACK feedback or ACK / NACK information) in the UCI on the PUCCH and / or PUSCH.

[0067] As further shown, the downlink reference signal may include a synchronization signal block (SSB), a channel state information (CSI) reference signal (CSI-RS), a DMRS, a positioning reference signal (PRS), or a phase tracking reference signal (PTRS), etc. As also shown in the figure, the uplink reference signal may include a sounding reference signal (SRS), a DMRS, or a PTRS, etc.

[0068] The SSB may carry information used for initial network acquisition and synchronization, such as PSS, SSS, PBCH, and PBCH DMRS. The SSB is sometimes referred to as a synchronization signal / PBCH (SS / PBCH) block. In some aspects, the base station 110 may send multiple SSBs on multiple corresponding beams, and the SSBs may be used for beam selection.

[0069] The CSI-RS may carry information for downlink channel estimation (e.g., downlink CSI acquisition), which may be used for scheduling, link adaptation, or beam management, among other things. The base station 110 may configure a CSI-RS set for the UE 120, and the UE 120 may measure the configured CSI-RS set. Based at least in part on the measurements, the UE 120 may perform channel estimation, and may report channel estimation parameters such as CQI, precoding matrix indicator (PMI), CSI-RS resource indicator (CRI), layer indicator (LI), rank indicator (RI), or RSRP, among other things, to the base station 110 (e.g., in a CSI report). The base station 110 may use the CSI report to select transmission parameters for downlink communication to the UE 120, such as the number of transmission layers (e.g., rank), precoding matrix (e.g., precoder), MCS, or a refined downlink beam (e.g., using a beam refinement procedure or a beam management procedure), among other examples.

[0070] DMRS may carry information for estimating a radio channel to demodulate an associated physical channel (e.g., PDCCH, PDSCH, PBCH, PUCCH, or PUSCH). The design and mapping of DMRS may be specific to the physical channel that the DMRS is used to estimate. DMRS is UE-specific, may be beamformed, may be restricted to scheduled resources (e.g., rather than being sent over a wideband), and may be sent only when necessary. As shown, DMRS is used for both downlink and uplink communications.

[0071] PTRS can carry information for compensating for oscillator phase noise. Typically, phase noise increases with the increase of the oscillator carrier frequency. Therefore, PTRS can be used at high carrier frequencies (such as millimeter wave frequencies) to mitigate phase noise. PTRS can be used to track the phase of the local oscillator and achieve suppression of phase noise and common phase error. As shown, PTRS is used for both downlink communications (e.g., on PDSCH) and uplink communications (e.g., on PUSCH).

[0072] The PRS may carry information for implementing timing or ranging measurements of the UE 120 based on signals sent by the base station 110 to improve observed time difference of arrival (OTDOA) positioning performance. For example, the PRS may be a pseudo-random quadrature phase shift keying (QPSK) sequence mapped in a diagonal pattern with a frequency offset and a time offset to avoid conflicts with cell-specific reference signals and control channels (e.g., PDCCH). In general, the PRS may be designed to improve the detectability of the UE 120, which may require detecting downlink signals from multiple neighboring base stations in order to perform OTDOA-based positioning. Therefore, the UE 120 may receive PRS from multiple cells (e.g., a reference cell and one or more neighboring cells), and may report a reference signal time difference (RSTD) based on OTDOA measurements associated with the PRS received from the multiple cells. In some aspects, the base station 110 may then calculate the positioning of the UE 120 based on the RSTD measurements reported by the UE 120.

[0073] The SRS may carry information for uplink channel estimation, which may be used for scheduling, link adaptation, pre-decoder selection, or beam management, etc. The base station 110 may configure one or more SRS resource sets for the UE 120, and the UE 120 may send the SRS on the configured SRS resource sets. The SRS resource sets may have configured usages, such as uplink CSI acquisition, downlink CSI acquisition for reciprocity-based operation, uplink beam management, etc. The base station 110 may measure the SRS, may perform channel estimation based at least in part on these measurements, and may use the SRS measurements to configure communications with the UE 120. In conjunction with Figure 5 Various aspects of CSI-RS and / or SRS beam management procedures are described in more detail.

[0074] As indicated above, Figure 4 are provided as examples. Other examples can be found in the Figure 4 Described differently.

[0075] Figure 5 5 is a diagram illustrating examples 500, 510, and 520 of a CSI-RS beam management procedure according to the present disclosure. Figure 5 As shown, examples 500, 510, and 520 include UE 120 communicating with base station 110 in a wireless network (e.g., wireless network 100). Figure 5The devices shown in are provided as examples, and the wireless network may support communication and beam management between other devices (e.g., between UE 120 and base station 110 or TRP, between mobile terminal nodes and control nodes, between integrated access and backhaul (IAB) child nodes and IAB parent nodes, and / or between scheduled nodes and scheduling nodes). In some aspects, UE 120 and base station 110 may be in a connected state (e.g., an RRC connected state).

[0076] like Figure 5 As shown, example 500 may include base station 110 and UE 120 communicating to perform beam management using CSI-RS. Example 500 depicts a first beam management procedure (e.g., P1 CSI-RS beam management). The first beam management procedure may be referred to as a beam selection procedure, an initial beam acquisition procedure, a beam scanning procedure, a cell search procedure, and / or a beam search procedure. Figure 5 As shown in example 500, CSI-RS may be configured to be sent from base station 110 to UE 120. CSI-RS may be configured to be periodic (e.g., using RRC signaling), semi-persistent (e.g., using MAC control element (MAC-CE) signaling), and / or aperiodic (e.g., using DCI).

[0077] The first beam management procedure may include the base station 110 performing beam scanning on multiple transmit (Tx) beams. The base station 110 may use each transmit beam to transmit a CSI-RS for beam management. In order to enable the UE 120 to perform receive (Rx) beam scanning, the base station may use the transmit beam to transmit each CSI-RS multiple times within the same RS resource set (e.g., using repetition) so that the UE 120 can scan through the receive beam in multiple transmit instances. For example, if the base station 110 has a set of N transmit beams and the UE 120 has a set of M receive beams, the CSI-RS may be transmitted M times on each of the N transmit beams, so that the UE 120 can receive M instances of the CSI-RS per transmit beam. In other words, for each transmit beam of the base station 110, the UE 120 may perform beam scanning through the receive beam of the UE 120. Thus, the first beam management procedure may enable UE 120 to measure CSI-RS on different transmit beams using different receive beams to support selection of base station 110 transmit beam / UE 120 receive beam pairs. UE 120 may report the measurements to base station 110 to enable base station 110 to select one or more beam pairs for communication between base station 110 and UE 120. Although example 500 has been described in conjunction with CSI-RS, the first beam management procedure may also use SSB for beam management in a similar manner as described above.

[0078] like Figure 5 As shown, example 510 may include base station 110 and UE 120 communicating to perform beam management using CSI-RS. Example 510 depicts a second beam management procedure (e.g., P2 CSI-RS beam management). The second beam management procedure may be referred to as a beam refinement procedure, a base station beam refinement procedure, a TRP beam refinement procedure, and / or a transmit beam refinement procedure. Figure 5 As shown in example 510, the CSI-RS may be configured to be sent from the base station 110 to the UE 120. The CSI-RS may be configured to be non-periodic (e.g., using DCI). The second beam management procedure may include the base station 110 performing beam scanning on one or more transmit beams. The one or more transmit beams may be a subset of all transmit beams associated with the base station 110 (e.g., determined at least in part based on measurements reported by the UE 120 in conjunction with the first beam management procedure). The base station 110 may use each of the one or more transmit beams to transmit the CSI-RS for beam management. The UE 120 may measure each CSI-RS using a single (e.g., the same) receive beam (e.g., determined at least in part based on measurements performed in conjunction with the first beam management procedure). The second beam management procedure may enable the base station 110 to select the best transmit beam based at least in part on measurements of the CSI-RS reported by the UE 120 (e.g., measured by the UE 120 using a single receive beam).

[0079] like Figure 5 As shown, example 520 depicts a third beam management procedure (e.g., P3 CSI-RS beam management). The third beam management procedure may be referred to as a beam refinement procedure, a UE beam refinement procedure, and / or a receive beam refinement procedure. Figure 5As shown in example 520, one or more CSI-RS may be configured to be sent from base station 110 to UE 120. The CSI-RS may be configured to be non-periodic (e.g., using DCI). The third beam management process may include base station 110 sending one or more CSI-RS using a single transmit beam (e.g., determined at least in part based on measurements reported by UE 120 in conjunction with the first beam management procedure and / or the second beam management procedure). In order to enable UE 120 to perform receive beam scanning, the base station may use the transmit beam to send (e.g., using repetition) CSI-RS multiple times within the same RS resource set, so that UE 120 can scan through one or more receive beams in multiple transmission instances. The one or more receive beams may be a subset of all receive beams associated with UE 120 (e.g., determined at least in part based on measurements performed in conjunction with the first beam management procedure and / or the second beam management procedure). The third beam management procedure may enable base station 110 and / or UE 120 to select the best receive beam based at least in part on reported measurements received from UE 120 (eg, measurements of the CSI-RS of the transmit beam using one or more receive beams).

[0080] The beam management examples described above may be referred to as static beam management procedures or static beam weighting. More specifically, to select a transmit and / or receive beam, the UE 120 or base station 110 may direct energy in a particular direction in beam space, resulting in a beam that is sometimes referred to as a directional beam. To create such a directional beam, the UE 120 and / or base station 110 may select beam weights from a static codebook stored in a memory, such as within a radio frequency integrated circuit (RFIC) memory. In other words, in some aspects, the beam weights may not dynamically change beyond the beam weights stored in the RFIC memory (e.g., during a beam selection process), but may be selected from only one of a plurality of options residing in the static codebook.

[0081] In some cases, it may be beneficial to implement adaptive or dynamic beam weighting rather than static beam weighting. Adaptive beam weighting may result in certain beam management improvements, such as utilizing the same cluster to cover or capture energy from a wider angular spread, providing a multi-beam effect (such as multiple lobes across multiple clusters), performing improved sidelobe control, managing blocked beams caused by hand blockage and related impairments, managing polarization specific impairments at the UE 120 due to UE 120 housing, materials, sensors, etc., and similar benefits. In contrast to static beam weights, which may be designed a priori, the adaptive beam weights may be learned in real time (or in other words, may be learned on the fly). In combination with Figure 6 Aspects of adaptive beam weighting are described in more detail.

[0082] As indicated above, Figure 5 is provided as an example of a beam management procedure. Other examples of beam management procedures may be related to Figure 5 For example, UE 120 and base station 110 may perform the third beam management procedure before performing the second beam management procedure, and / or UE 120 and base station 110 may perform a similar beam management procedure to select a UE transmit beam.

[0083] Figure 6 is a diagram illustrating an example 600 associated with an adaptive beam weight learning procedure according to the present disclosure.

[0084] At a high level, adaptive beam weight learning can be based at least in part on the use of a specific set of beam weights for channel sounding. In some aspects, a specific set of beam weights can be designed a priori with a specific goal different from adaptive beam weight learning, such as for combining Figure 5 The static beam weight learning procedure described in the following. Network devices (such as Figure 6 1, but it may be a different network device in other instances) may enable a set of beam weights to perform certain measurements such as RSRP measurements. In this regard, the UE 120 may learn beam weights for reception and / or transmission, and / or may estimate a channel matrix between a network entity that transmits a reference signal (e.g., CSI-RS and / or SBS) and the UE 120, which may be a superposition of all reflective objects in the environment, etc. In some aspects, the UE 120 may treat the channel estimation process as a random process, and thus learn statistics associated with the random process, and may derive a covariance matrix associated with the random process. In some aspects, the UE 120 may update the beam weights when the channel environment changes due to blocking, fading, etc. In some aspects, the adaptive and / or dynamic beam weights may correspond to the dominant eigenvectors of the channel covariance matrix estimated by the UE 120.

[0085] More specifically, and as indicated by reference numeral 605, the UE 120 may sample a channel (e.g., perform channel sounding) using a set of sampling beams (which may sometimes be referred to herein as static beams and / or a priori beams) that may correspond to a combination of Figure 5 1. The static beam or sampling beam may be a directional beam pointing in various directions as shown, or other well-designed beams sharing a single or quasi-single structure. In some aspects, the UE 120 may use the sampling beam to perform RSRP or similar measurements. More specifically, and as shown by reference numeral 610, the UE 120 may use the sampling beam to perform RSRP or similar measurements on the received SBS and / or CSI-RS.

[0086] Based at least in part on the measurements, UE 120 may perform adaptive beam weight computations, as indicated by reference numeral 615. As described above, in some aspects, this may include determining a dominant eigenvector of a channel covariance matrix estimated by UE 120 from measurements associated with a priori designed sensing beams. In some aspects, the dynamic beam weights and / or the dominant eigenvectors associated with the adaptive beam weights may be referred to as g ideal .

[0087] As indicated at reference numeral 620, UE 120 may perform final beam adaptation, which may include performing certain additional calculations and / or determinations to derive adaptive beam weights used by UE 120. For example, in some aspects, the adaptive beam weights ultimately implemented by UE 120 may be constrained in terms of quantization of phase and amplitude, etc. Thus, as indicated at reference numeral 625, UE 120 may adjust the adaptive beam weights (e.g., eigenvectors g ideal ) is projected onto a codebook extension, which may include various beam weight matrices stored in the memory of the RFIC, etc. This may result in the UE 120 implementing a matrix g selected from the codebook extension used For example, Figure 6 As shown, g used This may result in the beam pointing in two different directions at the same time. This may be beneficial for receiving signals reflected in two different directions, for example, because both reflection paths may be received by UE 120, resulting in a boost in signal energy at UE 120. In other words, Figure 6 The illustrated adaptive beam weight learning procedure may result in UE 120 collecting energy in multiple directions and / or dimensions, thereby resulting in improved signal quality at UE 120 .

[0088] However, performing adaptive beam weight learning (such as performing a combination of Figure 6 The adaptive beam weight learning procedure described in the foregoing may result in certain disadvantages. For example, the number of reference signals (e.g., CSI-RS and / or SSB) required to perform the adaptive beam weight learning procedure may be greater than the number of reference signals required to perform static beam weighting. For example, in some aspects, the number of reference signals required to perform adaptive beam weighting is equal to N. 2, where N corresponds to the number of antenna elements at a device (e.g., UE 120) performing the adaptive beam weighting procedure. Therefore, as the number of antenna elements on the UE 120 increases, the number of reference signals required to perform the adaptive beam weighting procedure may become numerous. For example, UE 120 or network entities operating in high frequency bands such as millimeter wave and higher frequency bands may be spaced apart at a relatively small distance to create a coherent combination of high frequencies, resulting in numerous antenna elements being included in the antenna array. Therefore, the numerous antenna elements may require squarely more reference signaling to perform adaptive beam weight learning than the reference signaling required for a UE with a smaller antenna array. For example, a network device such as a customer premises equipment (CPE) that may have an antenna array including 64 antenna elements will require 4,096 reference signals (e.g., CSI-RS or SSB) to perform certain adaptive beam weight learning procedures. Therefore, in some cases, if the number of reference signals becomes too numerous, the UE 120 or other network device may forgo the benefits associated with adaptive beam learning and instead perform a static beam weighting procedure. Alternatively, the UE 120 or other network device may still implement an adaptive beam weighting procedure, but at the expense of increased reference signaling overhead and associated sampling time, resulting in reduced throughput and therefore higher latency, as well as an overall inefficient use of network resources.

[0089] Some techniques and apparatus described herein enable adaptive beam weighting or similar beam management procedures based at least in part on perception-based inferences, etc. In this regard, the adaptive beam weight learning process may be implemented using a reduced number of reference signals and / or a smaller codebook extension, thereby reducing signaling overhead and sampling and computation time. For example, a UE (e.g., UE 120) may send an indication to a network entity (e.g., base station 110 or one of its multiple functional components) whether the UE is capable of performing a perception-assisted beam management procedure (such as a perception-assisted beam management procedure associated with the adaptive beam weight learning procedure). In response to the UE indicating that the UE is capable of performing the perception-assisted beam management procedure, the network entity may configure the UE to perform the perception-assisted beam management procedure, such as by performing the adaptive beam weight learning procedure based at least in part on a reduced number of reference signals compared to a non-perception-assisted beam management procedure. As a result of implementing the perception-assisted beam management procedure, the UE and / or the network entity may save computational, power, network, and / or communication resources that may otherwise be consumed using conventional beam management procedures. For example, based at least in part on the UE and / or network entity's use of perception-assisted beam management procedures, the UE and / or network entity may perform beam management procedures based at least in part on reduced reference signaling and / or reduced consumption of computational and power resources associated with quantizing beam weights to codebook extensions, thereby resulting in increased throughput and reduced latency, and overall efficient use of computational, power, network, and / or communication resources.

[0090] As indicated above, Figure 6 are provided as examples. Other examples can be found in the Figure 6 Described differently.

[0091] Figure 7 is a diagram illustrating an example 700 associated with perception-assisted sensing according to the present disclosure.

[0092] In some aspects, a UE 120 or other network device may sense characteristics of the surrounding physical environment to improve communication with a network entity (e.g., a base station 110, a CU 310, a DU 330, and a RU 340, etc.) or other network device (such as another UE 120). More specifically, in some aspects, a UE 120 or other network device may utilize onboard sensors such as cameras, other optical sensors, etc. to sense changes in the surrounding environment in order to predict line of sight (LOS) blockages or similar blockages or impairments. In some aspects, vehicles and roadside units (RSUs) may be good candidates for performing perception-assisted sensing because the vehicles and / or RSUs may be associated with always-on sensors, may be associated with known locations and / or orientations, and / or may be able to perform street-level sensing where the surrounding physical environment may be constantly changing. Perception-assisted sensing may be particularly useful in high-frequency bands (e.g., millimeter wave bands, etc.), where high-frequency waves may be more affected by environmental changes. In some aspects, perception-assisted sensing may be implemented for the purposes of handover prediction, predictive rate adaptation, robust RF fingerprinting in dynamic environments, dynamic network management, and / or CSI compression. Additionally or alternatively, perception-assisted sensing may be implemented for the purposes of adaptive beam management.

[0093] For example, Figure 7 As shown, UE 705 (e.g., UE 120) can utilize perception-assisted sensing for the purpose of adaptive beam management. Figure 7 In the example shown, UE 705 can communicate with network entity 710 (e.g., base station 110, CU 310, DU 330, and RU 340 or similar network entities). UE 705 and / or network entity 710 may include one or more onboard sensors capable of sensing the surrounding physical environment. For example, UE 705 and / or network entity 710 may include one or more cameras and / or other optical sensors capable of sensing surrounding vehicles (such as first vehicle 715 and second vehicle 720 and their movement) and / or other environmental features.

[0094] In some aspects, the UE 705 and the network entity 710 may initially communicate via a first beam 725 or beam path. However, one or more onboard cameras or other sensors at the UE 705 and / or the network entity 710 may sense that the first beam 725 may soon be blocked or otherwise obscured. Thus, based at least in part on the sensor data (e.g., the first beam 725 may soon be blocked or otherwise obscured), the UE 705 and the network entity 710 may switch to communicating via a second beam 730 or beam path that remains unobstructed.

[0095] More specifically, at a first time indicated by reference numeral 735, the UE 705 and the network entity 710 may communicate via a first beam 725, which may be along a LOS path between the UE 705 and the network entity 710. However, based at least in part on the UE 705 and / or the network entity 710 sensing that the first vehicle 715 is moving toward the LOS path, the UE 705 and the network entity 710 may switch to a different beam or path. Thus, at a second time indicated by reference numeral 740, when the first vehicle is blocking the LOS path and thus blocking the path of the first beam 725, the UE 705 and the network entity 710 may communicate via a second beam 730, which may not be blocked by the first vehicle or other environmental obstructions. In the depicted example, the second beam 730 is along a path that is reflected off of the second vehicle 720. In this regard, because the second beam 730 is a reflected beam, when available, it may be a less preferred communication beam than a LOS beam (e.g., the first beam 725), but may be more preferred than a blocked LOS path, which may completely destroy coverage and / or performance.

[0096] Thus, at a third time indicated by reference numeral 745, when the LOS path may become unobstructed again, the UE 705 and / or the network entity 710 may sense that the LOS path is unobstructed again, and thus resume communication via the LOS path (e.g., the first beam 725). In this regard, cameras and sensors at various network devices may assist in wireless communication with the goal of beam establishment, beam switching, and beam restoration. Furthermore, in some aspects, perception-assisted sensing may be further used for purposes of improving adaptive beam weight learning, such as improving combined Figure 6 The adaptive beam weight learning procedure described in Figure 7 Aspects of the perception-assisted adaptive beam weight learning procedure are described in more detail.

[0097] As indicated above, Figure 7 are provided as examples. Other examples can be found in the Figure 7 Described differently.

[0098] Figure 8 is a diagram illustrating an example 800 associated with perception-assisted adaptive beam weight learning according to the present disclosure.

[0099] As above combined Figure 6 As described above, adaptive beam weight learning may be relatively slow and require extensive signaling overhead because the number of reference signals required to perform such a procedure may increase quadratically with the number of antenna elements (e.g., the required reference signaling may be as large as N). 2In some aspects, a sensing-assisted adaptive beam weight learning procedure can be implemented to accelerate adaptive beam weight learning and / or reduce signaling overhead associated with adaptive beam weight learning. The sensing-assisted adaptive beam weight learning procedure can do so using sensor input to reduce the beam space that must be searched to arrive at adaptive beam weights, resulting in a reduced number of reference signals and / or a reduced codebook extension to be searched for final beam adaptation.

[0100] More specifically, UE 120 (e.g., UE 705) may include a sensing assistance component 805. The sensing assistance component 805 may utilize input from one or more sensors onboard UE 120 and / or other network devices (e.g., network entity 710) to reduce the number of sensing beams and / or reduce the codebook space searched by UE 120 during final beam adaptation. More specifically, as Figure 8 As shown by the arrow labeled “Assistance 1” in FIG. 1 , the sensing assistance component 805 can reduce the number of sensing beams so that the UE 120 may only need to perform beam measurements (e.g., RSRP measurements) in the direction that is most likely to have the maximum signal strength, while ignoring beam measurements that may be affected by environmental obstacles (such as combined Figure 7 The first vehicle 715) is described in the direction of adverse effects.

[0101] More specifically, in some aspects, the sensing-assisted adaptive beam weight learning procedure can result in using a reduced number of sensing beams (such as the sensing beams described in conjunction with reference numerals 605 and 610) in beam training. For example, using an onboard camera and / or other sensors, a UE 120 (e.g., UE 705) or other network device (e.g., network entity 710) can sense which paths are likely to provide the best coverage, thereby causing the UE 120 or other network device to search a reduced dimensionality subspace spanned by the path. For example, in conjunction with Figure 7 In the described example, when the first vehicle 715 is blocking the LOS path, the UE 705 may not search the dimensional subspace associated with the LOS path or the related path, but instead the UE 705 may search the reduced dimensional subspace associated with the reflected path off the second vehicle 720, resulting in a reduction in reference signaling from the network entity 710 and / or a reduction in computation at the UE 705. The reduction in reference signaling may result in reduced power consumption of the UE 705 and / or the network entity 710, a more manageable thermal profile and / or thermal overhead of the UE 705 and / or the network entity 710, and / or a better ability to track beams because a smaller number of reference signals (e.g., CSI-RS and / or SSBs) are required for better quality estimates.

[0102] Therefore, and as indicated by reference numeral 810, the UE 120 can use a reduced number of sensing beams to perform measurements (e.g., RSRP measurements). In this regard, the sensing assistance component 805 can beneficially reduce the sampled beams (and therefore the corresponding reference signals) to a smaller set without losing any relevant information, as the unused beams may be blocked or otherwise unavailable, as indicated by various onboard sensors at the UE 120 and / or other network devices. As indicated by reference numeral 815, the UE 120 can then use the reduced number of measurements to perform adaptive beam weight calculations to determine g ideal (E.g., UE 120 may use a reduced number of measurements to determine the dominant eigenvectors of the channel covariance matrix estimated by UE 120).

[0103] In addition, in some aspects, the perception assistance component 805 can reduce the search space for codebook expansion, which corresponds to the space used to search for quantization (e.g., amplitude and phase) of the final adaptive beam weights. This can reduce projection complexity, including reducing the storage of the reduction space in the RFIC memory, etc., and reducing the computational complexity of projecting on a smaller codebook subset.

[0104] More specifically, and as Figure 8 As shown by the arrow labeled "Assist 2" in FIG. 1 , based at least in part on-board sensor data, etc., the perception assistance component 805 can reduce the codebook extension to a region of interest (e.g., a subset of the codebook extension). In some aspects, the codebook extension can be scalable because the codebook extension can include all phase shifter and amplitude control possibilities. In some aspects, the perception assistance component 805 can therefore indicate a subset of the codebook extension (e.g., the region of interest) to be used to search for final beam adaptation based on the sensed physical environment. Therefore, as shown in the reference numerals 820 and 825, the UE 120 can perform final beam adaptation based at least in part on searching the reduced codebook space for selecting final beam weights. More specifically, the UE 120 can calculate the adaptive beam weights (e.g., g ideal ) onto the region of interest instead of the entire codebook extension. UE 120 may select the beam (e.g., g ) from the region of interest that is most closely aligned with the adaptive beam weight calculation. ideal ), resulting in the selected beam being used for further communication (e.g., g used ). In some aspects, the beamforming techniques described above may be performed in both the digital and analog domains, and are therefore sometimes referred to as hybrid beamforming.

[0105] As indicated above, Figure 8 are provided as examples. Other examples can be found in the Figure 8 Described differently.

[0106] Fig. 9 is a diagram of an example 900 associated with a cognitive assisted beam management procedure according to the present disclosure. Fig. 9 As shown, UE 905 (e.g., UE 120 and / or UE 705) can communicate with a network entity (e.g., base station 110, CU 310, DU 330, RU 340, network entity 710, or similar network entity). In some aspects, UE 905 and network entity 910 can be part of a wireless network (e.g., wireless network 100). UE 905 and network entity 910 can be in a wireless network. Fig. 9 The illustrated operations are performed with a wireless connection established previously. For example, as described above, the UE 905 and the network entity 910 may have established a wireless connection associated with beamforming communications.

[0107] As indicated by reference numeral 915, the UE 905 may send capability information to the network entity 910. In some aspects, the capability information may indicate support of the UE 905 for the cognitive assisted beam management procedure. More specifically, the UE 905 may send an indication to the network entity 910 of whether the UE 905 is capable of performing the cognitive assisted beam management procedure. In some aspects, the cognitive assisted beam management procedure may be combined with an adaptive beam weight learning procedure (such as in conjunction with a UE 905) for hybrid beamforming at the UE 905. Figure 7 and Figure 8 The described perceptual-assisted adaptive beam weight learning procedure is associated with.

[0108] In some aspects, the UE 905 may send additional information and / or indications associated with the perceptual auxiliary beam management procedure. Figure 8 As described above, a cognitive auxiliary beam management procedure may be performed using a number of reference signals (e.g., CSI-RS and / or SSB) that is less than the number of reference signals associated with a non-cognitive auxiliary beam management procedure. Accordingly, in some aspects, the indication of whether the UE 905 is capable of performing the cognitive auxiliary beam management procedure may include an indication of the number of reference signals associated with performing adaptive beam weight learning associated with the cognitive auxiliary beam management procedure. In addition, as described in conjunction with Figure 8 As described, in some aspects, the cognitive auxiliary beam management procedure may result in reduced power consumption by the UE 905 and / or reduced thermal overhead associated with the UE 905. Thus, in some aspects, the UE 905 may send an indication of the reduced power consumption or reduced thermal overhead associated with the cognitive auxiliary beam management procedure to the network entity 910.

[0109] Additionally or alternatively, in some aspects, the UE 905 may send an indication of an estimation error associated with an adaptive beam weight associated with a cognitive assisted beam management procedure to the network entity 910. More specifically, the UE 905 may indicate to the network entity 910 that an estimation error associated with generating the adaptive beam weights described in conjunction with reference numerals 815 to 825 (e.g., adaptive beam weights generated according to a cognitive assisted beam management procedure) may be less than an estimation error associated with generating the adaptive beam weights described in conjunction with reference numerals 615 to 625 (e.g., adaptive beam weights generated according to a non-cognitive assisted beam management procedure). In some aspects, capability information and / or indications and / or information associated with the cognitive assisted beam management procedure described above in conjunction with reference numeral 915 may be sent by the UE 905 to the network entity 910 via one of RRC communication, UCI communication, or MAC-CE communication.

[0110] As indicated by reference numeral 920, the UE 905 may receive configuration information from the network entity 910. In some aspects, the UE 905 may receive the configuration information via one or more of RRC signaling, one or more MAC-CEs, and / or DCI, etc. In some aspects, the configuration information may include an indication of one or more configuration parameters for selection by the UE 905 (e.g., known to the UE 905 and / or previously indicated by the network entity 910 or other network device), and / or explicit configuration information for the UE 905 to configure the UE 905, etc. The UE may configure itself based at least in part on the configuration information. In some aspects, the UE may be configured to perform one or more operations described herein based at least in part on the configuration information.

[0111] In some aspects, the configuration information may include a configuration indicating whether the UE 905 should perform the sensing-assisted beam management procedure, which may be based at least in part on an indication of whether the UE 905 is capable of performing the sensing-assisted beam management procedure. For example, in response to receiving an indication that the UE 905 is capable of performing the sensing-assisted beam management procedure (e.g., the UE 905 is equipped with the sensing-assisted component 805, etc.), the network entity 910 may configure the UE 905 to perform the sensing-assisted beam management procedure in conjunction with the sensing-assisted beam management procedure. Figure 8 Describes the perception-assisted beam management procedure.

[0112] In aspects where the UE 905 sends an indication of a reduction in power consumption or a reduction in thermal overhead associated with a cognitive auxiliary beam management procedure to the network entity 910, the configuration indicating whether the UE 905 should perform the cognitive auxiliary beam management procedure may be based at least in part on the indication of the reduction in power consumption or the reduction in thermal overhead. In other words, the network entity 910 may configure the UE 905 to perform the cognitive auxiliary beam management procedure in order to achieve the indicated power consumption gain or thermal overhead gain. Similarly, in aspects where the UE 905 sends an indication of an estimation error associated with an adaptive beam weight associated with the cognitive auxiliary beam management procedure to the network entity 910, the configuration indicating whether the UE 905 should perform the cognitive auxiliary beam management procedure may be based at least in part on the indication of the estimation error associated with the adaptive beam weight. For example, the network entity 910 may determine that the uplink data rate is less than a threshold, and the network entity 910 may therefore configure the UE 905 to implement a perceptual assisted beam management procedure to reduce the error rate associated with channel estimation and thereby improve the link quality and / or uplink data rate.

[0113] The UE 905 may configure itself based at least in part on the configuration information.In some aspects, the UE 905 may be configured to perform one or more operations described herein based at least in part on the configuration information.

[0114] As indicated by reference numeral 925, the UE 905 may receive a number of reference signals associated with the cognitive auxiliary beam management procedure from the network entity 910. More specifically, the UE 905 may receive a number of CSI-RS and / or SSBs to perform certain measurements associated with the cognitive auxiliary beam management procedure (e.g., RSRP measurements). As described above in conjunction with reference numeral 810, in some aspects, the UE 905 may utilize a reduced number of sensing beams compared to the non-cognitive auxiliary beam management procedure to perform such measurements. In this regard, the number of reference signals received by the UE 905 may be less than the number of reference signals associated with the non-cognitive auxiliary beam management procedure. For example, in some aspects, the number of reference signals associated with the non-cognitive auxiliary beam management procedure may correspond to the number of array dimensions associated with the adaptive beam weights associated with the cognitive auxiliary beam management procedure (e.g., the number of array dimensions for learning adaptive beam weights) (e.g., N 2 ), and the number of reference signals associated with the cognitive assisted beam management procedure is less than the square of the number of array dimensions associated with the adaptive beam weights associated with the non-cognitive assisted beam management procedure. In addition, in aspects where the UE 905 sends an indication of the number of reference signals associated with performing beam weight learning associated with the cognitive assisted beam management procedure to the network entity 910, the number of reference signals received by the UE 905 may be based at least in part on the indication.

[0115] As shown in reference numeral 930, in some aspects, the UE 905 may perform a perceptual assisted beam management procedure. For example, the UE 905 may perform a perceptual assisted beam management procedure based at least in part on the reference signal described in conjunction with reference numeral 925. In some aspects, the UE 905 may determine an adaptive beam weight associated with the perceptual assisted beam management procedure, and the UE 905 may quantize the adaptive beam weight to a reduced codebook space (e.g., a region of interest), such as in conjunction with Figure 8 In such aspects, the reduced-dimensional codebook space may be smaller than the codebook space associated with the non-perceptual auxiliary beam management procedure (e.g., in conjunction with Figure 6 and Figure 8 codebook extension described in (codebook extension).

[0116] Additionally or alternatively, in some aspects, quantizing the beam weights to the reduced-dimensional codebook space may result in at least one of reduced power consumption compared to quantizing the beam weights to the codebook space or reduced thermal overhead compared to quantizing the beam weights to the codebook space. In such aspects, the UE 905 may report the power savings and / or thermal overhead benefits to the network entity 910. More specifically, as indicated by reference numeral 935, the UE 905 may send an indication of at least one of the reduced power consumption or the reduced thermal overhead to the network entity 910.

[0117] Based at least in part on the UE 905 performing the above-described perceptual assisted beam management procedure, the UE 905 and / or the network entity 910 may save computational, power, network, and / or communication resources that may otherwise be consumed using conventional beam management procedures. For example, based at least in part on the UE 905 performing the perceptual assisted beam management procedure, the UE 905 and the network entity 910 may establish communication beams using reduced reference signaling, resulting in reduced power consumption, reduced computational time and thermal overhead, and / or communicating at a reduced error rate, which may save computational, power, network, and / or communication resources that may otherwise be consumed to detect and / or correct communication errors.

[0118] As indicated above, Fig. 9 are provided as examples. Other examples can be found in relation to Fig. 9 Described differently.

[0119] Fig.10 1 is a diagram illustrating an example process 1000 performed, for example, by a UE according to the present disclosure. Example process 1000 is an example in which a UE (e.g., UE 905) performs operations associated with a cognitive assisted beam management procedure.

[0120] like Fig.10As shown, in some aspects, process 1000 may include sending an indication to a network entity (e.g., network entity 910) whether the UE is capable of performing the cognitive assisted beam management procedure (block 1010). Fig.12 The communication manager 1208 and / or the sending component 1204 depicted in the figure may send an indication to a network entity as to whether the UE is capable of performing a perception-assisted beam management procedure, as described above.

[0121] like Fig.10 As further shown in FIG. 1 , in some aspects, process 1000 may include: receiving, from the network entity, a configuration indicating whether the UE should perform the cognitive assisted beam management procedure based at least in part on the indication of whether the UE is capable of performing the cognitive assisted beam management procedure (block 1020). For example, a UE (e.g., using Fig.12 The communication manager 1208 and / or receiving component 1202 depicted in the figure may receive a configuration from the network entity indicating whether the UE should perform the cognitive assisted beam management procedure based at least in part on the indication of whether the UE is capable of performing the cognitive assisted beam management procedure, as described above.

[0122] Process 1000 may include additional aspects, such as any single aspect or any combination of aspects described below and / or in conjunction with one or more other processes described elsewhere herein.

[0123] In a first aspect, the cognitive assisted beam management procedure is associated with an adaptive beam weight learning procedure for hybrid beamforming at the UE.

[0124] In a second aspect, alone or in combination with the first aspect, the indication of whether the UE is capable of performing the sensing assisted beam management procedure is sent via one of RRC communication, UCI communication or MAC-CE communication.

[0125] In a third aspect, either alone or in combination with one or more of the first and second aspects, the indication of whether the UE is capable of performing the cognitive assisted beam management procedure comprises an indication of the number of reference signals associated with performing adaptive beam weight learning associated with the cognitive assisted beam management procedure.

[0126] In a fourth aspect, alone or in combination with one or more of the first to third aspects, process 1000 includes: receiving a number of reference signals associated with the cognitive assisted beam management procedure from the network entity, wherein the number of reference signals associated with the cognitive assisted beam management procedure is less than the number of reference signals associated with the non-cognitive assisted beam management procedure; and performing the cognitive assisted beam management procedure at least partially based on the reference signals associated with the cognitive assisted beam management procedure.

[0127] In a fifth aspect, alone or in combination with one or more of aspects 1 to 4, process 1000 comprises: receiving from the network entity a number of reference signals associated with the cognitive assisted beam management procedure, wherein the number of reference signals associated with the cognitive assisted beam management procedure is less than the square of the array dimension associated with the adaptive beam weights associated with the non-cognitive assisted beam management procedure; and performing the cognitive assisted beam management procedure based at least in part on the reference signals associated with the cognitive assisted beam management procedure.

[0128] In a sixth aspect, either alone or in combination with one or more of the first to fifth aspects, process 1000 comprises: determining adaptive beam weights associated with the perception-assisted beam management procedure; and quantizing the adaptive beam weights into a reduced-dimensional codebook space.

[0129] In a seventh aspect, alone or in combination with one or more of the first to sixth aspects, the reduced-dimensional codebook space is smaller than a codebook space associated with a non-perceptual auxiliary beam management procedure.

[0130] In an eighth aspect, either alone or in combination with one or more of aspects one to seven, quantizing the adaptive beam weights to the reduced-dimensional codebook space results in at least one of reduced power consumption compared to quantizing the adaptive beam weights to the codebook space or reduced thermal overhead compared to quantizing the adaptive beam weights to the codebook space.

[0131] In a ninth aspect, either alone or in combination with one or more of the first to eighth aspects, process 1000 includes sending an indication of the at least one of the power consumption reduction or the thermal overhead reduction to the network entity.

[0132] In a tenth aspect, alone or in combination with one or more of aspects one to nine, process 1000 comprises sending to the network entity an indication of a reduction in power consumption associated with the cognitive assisted beam management procedure or a reduction in thermal overhead associated with the cognitive assisted beam management procedure, wherein based at least in part on the indication of the reduction in power consumption or the reduction in thermal overhead, further receiving the configuration indicating whether the UE should perform the cognitive assisted beam management procedure.

[0133] In an eleventh aspect, alone or in combination with one or more of aspects one to ten, process 1000 comprises sending to the network entity an indication of an estimation error associated with an adaptive beam weight associated with the cognitive assisted beam management procedure, wherein the configuration indicating whether the UE should perform the cognitive assisted beam management procedure is further received based at least in part on the indication of the estimation error associated with the adaptive beam weight.

[0134] although Fig.10 An example block diagram of process 1000 is shown, but in some aspects, process 1000 may include Fig.10 Additional blocks, fewer blocks, different blocks, or blocks arranged in a different manner than those depicted in the process 1000. Additionally or alternatively, two or more of the blocks in the process 1000 may be performed in parallel.

[0135] Fig.11 is a diagram illustrating an example process 1100, for example, performed by a network entity, according to the present disclosure. The example process 1100 is an example in which a network entity (eg, network entity 910) performs operations associated with a cognitive assisted beam management procedure.

[0136] like Fig.11 As shown, in some aspects, process 1100 may include receiving an indication from a UE (e.g., UE 905) as to whether the UE is capable of performing a cognitive assisted beam management procedure (block 1110). Fig.13 The communication manager 1308 and / or receiving component 1302 depicted in the figure may receive an indication from a UE as to whether the UE is capable of performing a cognitive assisted beam management procedure, as described above.

[0137] like Fig.11 As further shown in FIG. 1 , in some aspects, process 1100 may include: sending a configuration to the UE indicating whether the UE should perform the cognitive assisted beam management procedure based at least in part on the indication of whether the UE is capable of performing the cognitive assisted beam management procedure (block 1120). For example, a network entity (e.g., using Fig.13 The communication manager 1308 and / or the sending component 1304 depicted in the figure may send a configuration to the UE indicating whether the UE should perform the cognitive assisted beam management procedure based at least in part on the indication of whether the UE is capable of performing the cognitive assisted beam management procedure, as described above.

[0138] Process 1100 may include additional aspects, such as any single aspect or any combination of aspects described below and / or in conjunction with one or more other processes described elsewhere herein.

[0139] In a first aspect, the cognitive assisted beam management procedure is associated with an adaptive beam weight learning procedure for hybrid beamforming at the UE.

[0140] In a second aspect, alone or in combination with the first aspect, the indication of whether the UE is capable of performing the sensing assisted beam management procedure is received via one of RRC communication, UCI communication or MAC-CE communication.

[0141] In a third aspect, either alone or in combination with one or more of the first and second aspects, the indication of whether the UE is capable of performing the cognitive assisted beam management procedure comprises an indication of the number of reference signals associated with performing adaptive beam weight learning associated with the cognitive assisted beam management procedure.

[0142] In a fourth aspect, either alone or in combination with one or more of the first to third aspects, process 1100 includes: sending a number of reference signals associated with the cognitive auxiliary beam management procedure to the UE, wherein the number of reference signals associated with the cognitive auxiliary beam management procedure is less than the number of reference signals associated with the non-cognitive auxiliary beam management procedure.

[0143] In a fifth aspect, either alone or in combination with one or more of aspects 1 to 4, process 1100 includes sending to the UE a number of reference signals associated with the cognitive auxiliary beam management procedure, wherein the number of reference signals associated with the cognitive auxiliary beam management procedure is less than the square of the array dimension associated with the adaptive beam weights associated with the non-cognitive auxiliary beam management procedure.

[0144] In a sixth aspect, alone or in combination with one or more of the first to fifth aspects, the perception-assisted beam management procedure is associated with quantizing the adaptive beam weights into a reduced-dimensional codebook space.

[0145] In a seventh aspect, alone or in combination with one or more of the first to sixth aspects, the reduced-dimensional codebook space is smaller than a codebook space associated with a non-perceptual auxiliary beam management procedure.

[0146] In an eighth aspect, either alone or in combination with one or more of aspects one to seven, quantizing the adaptive beam weights to the reduced-dimensional codebook space results in at least one of reduced power consumption compared to quantizing the adaptive beam weights to the codebook space or reduced thermal overhead compared to quantizing the adaptive beam weights to the codebook space.

[0147] In a ninth aspect, alone or in combination with one or more of the first to eighth aspects, process 1100 includes: receiving an indication of the at least one of the power consumption reduction or the thermal overhead reduction from the UE.

[0148] In a tenth aspect, alone or in combination with one or more of aspects one to nine, process 1100 comprises: receiving from the UE an indication of a reduction in power consumption associated with the cognitive assisted beam management procedure or a reduction in thermal overhead associated with the cognitive assisted beam management procedure, wherein the configuration indicating whether the UE should perform the cognitive assisted beam management procedure is further sent based at least in part on the indication of the reduction in power consumption or the reduction in thermal overhead.

[0149] In the eleventh aspect, alone or in combination with one or more of the first to tenth aspects, process 1100 includes: receiving an indication of an estimation error associated with an adaptive beam weight associated with the cognitive assisted beam management procedure from the UE, wherein the configuration indicating whether the UE should perform the cognitive assisted beam management procedure is further sent based at least in part on the indication of the estimation error associated with the adaptive beam weight.

[0150] although Fig.11 An example block diagram of process 1100 is shown, but in some aspects, process 1100 may include Fig.11 Additional blocks, fewer blocks, different blocks, or blocks arranged in a different manner than those depicted in the process 1100. Additionally or alternatively, two or more blocks of the blocks of process 1100 may be performed in parallel.

[0151] Fig.12 1 is a diagram of an example apparatus 1200 for wireless communication according to the present invention. Apparatus 1200 may be a UE (e.g., UE 905), or a UE may include apparatus 1200. In some aspects, apparatus 1200 includes a receiving component 1202 and a transmitting component 1204 that may communicate with each other (e.g., via one or more buses and / or one or more other components). As shown, apparatus 1200 may communicate with another apparatus 1206 (such as a UE, a base station, or another wireless communication device) using receiving component 1202 and transmitting component 1204. As further shown, apparatus 1200 may include a communication manager 1208 (e.g., communication manager 140). Communication manager 1208 may include one or more of a perception assistance component 1210 (e.g., perception assistance component 805) or an adaptive beam weight component 1212, etc.

[0152] In some aspects, the apparatus 1200 may be configured to perform Figures 7 to 9Additionally or alternatively, the apparatus 1200 may be configured to perform one or more processes described herein, such as Fig.10 The process 1000. In some aspects, Fig.12 The apparatus 1200 and / or one or more components shown in FIG. 1 may include a combination of Figure 2 One or more components of the described UE 120. Additionally or alternatively, Fig.12 One or more of the components shown in the figure may be combined with Figure 2 Additionally or alternatively, one or more components in the set of components may be implemented at least in part as software stored in a memory. For example, a component (or a portion of a component) may be implemented as instructions or code stored in a non-transitory computer-readable medium and can be executed by a controller or processor to perform the function or operation of the component.

[0153] The receiving component 1202 may receive communications, such as reference signals, control information, data communications, or combinations thereof, from the device 1206. The receiving component 1202 may provide the received communications to one or more other components of the device 1200. In some aspects, the receiving component 1202 may perform signal processing (such as filtering, amplification, demodulation, analog-to-digital conversion, demultiplexing, deinterleaving, demapping, equalization, interference cancellation, or decoding, etc.) on the received communications and may provide the processed signals to one or more other components of the device 1200. In some aspects, the receiving component 1202 may include combining Figure 2 The UE 120 is described as having one or more antennas, modems, demodulators, MIMO detectors, receive processors, controllers / processors, memories, or combinations thereof.

[0154] The transmitting component 1204 may transmit communications, such as reference signals, control information, data communications, or combinations thereof, to the device 1206. In some aspects, one or more other components of the device 1200 may generate communications and may provide the generated communications to the transmitting component 1204 for transmission to the device 1206. In some aspects, the transmitting component 1204 may perform signal processing (such as filtering, amplification, modulation, digital-to-analog conversion, multiplexing, interleaving, mapping, or encoding, etc.) on the generated communications and may transmit the processed signals to the device 1206. In some aspects, the transmitting component 1204 may include combining Figure 2 One or more antennas, modems, modulators, transmit MIMO processors, transmit processors, controllers / processors, memories, or combinations thereof, of the depicted UE 120. In some aspects, the transmit component 1204 can be co-located with the receive component 1202 in a transceiver.

[0155] The sending component 1204 and / or the sensing assistance component 1210 can send an indication of whether the UE is capable of performing the sensing assisted beam management procedure to a network entity, e.g., the network entity 910. The receiving component 1202 can receive a configuration from the network entity indicating whether the UE should perform the sensing assisted beam management procedure based at least in part on the indication of whether the UE is capable of performing the sensing assisted beam management procedure.

[0156] The receiving component 1202 can receive a number of reference signals associated with the cognitive auxiliary beam management procedure from the network entity, wherein the number of reference signals associated with the cognitive auxiliary beam management procedure is less than the number of reference signals associated with the non-cognitive auxiliary beam management procedure.

[0157] The perceptual assistance component 1210 and / or the adaptive beam weight component 1212 can perform a perceptual assistance beam management procedure based at least in part on the reference signal.

[0158] The receiving component 1202 can receive a number of reference signals associated with the cognitive auxiliary beam management procedure from the network entity, wherein the number of reference signals associated with the cognitive auxiliary beam management procedure is less than the square of the array dimension associated with the adaptive beam weight associated with the non-cognitive auxiliary beam management procedure.

[0159] An adaptive beam weight component 1212 can determine adaptive beam weights associated with the cognitive assisted beam management procedure.

[0160] The adaptive beam weight component 1212 can quantize the beam weight into a reduced-dimensional codebook space.

[0161] The transmitting component 1204 may transmit an indication of at least one of reduced power consumption or reduced thermal overhead to the network entity. In some aspects, the configuration indicating whether the UE should perform the cognitive assisted beam management procedure is further received based at least in part on the indication of reduced power consumption or reduced thermal overhead.

[0162] The sending component 1204 may send an indication of an estimation error associated with an adaptive beam weight associated with the cognitive assisted beam management procedure to the network entity, wherein the configuration indicating whether the UE should perform the cognitive assisted beam management procedure is further received based at least in part on the indication of the estimation error associated with the adaptive beam weight.

[0163] Fig.12 The number and arrangement of components shown are provided as examples. In practice, there may be Fig.12 Additional components, fewer components, different components, or components arranged in a different manner than those shown. Fig.12Two or more components shown may be implemented in a single component, or Fig.12 The single component shown may be implemented as multiple distributed components. Additionally or alternatively, Fig.12 The component set (one or more components) shown may be described as being executable by Fig.12 Another component shown is a collection of one or more functions performed.

[0164] Fig.13 1 is a diagram of an example apparatus 1300 for wireless communication according to the present invention. Apparatus 1300 may be a network entity (e.g., network entity 910), or a network entity may include apparatus 1300. In some aspects, apparatus 1300 includes a receiving component 1302 and a sending component 1304 that may communicate with each other (e.g., via one or more buses and / or one or more other components). As shown, apparatus 1300 may communicate with another apparatus 1306 (such as a UE, a base station, or another wireless communication device) using receiving component 1302 and sending component 1304. As further shown, apparatus 1300 may include a communication manager 1308 (e.g., communication manager 150). Communication manager 1308 may include configuration component 1310, etc.

[0165] In some aspects, the apparatus 1300 may be configured to perform Figures 7 to 9 Additionally or alternatively, the apparatus 1300 may be configured to perform one or more processes described herein, such as Fig.11 The process 1100. In some aspects, Fig.13 The apparatus 1300 and / or one or more components shown in FIG. 1 may include a combination of Figure 2 One or more components of the described base station 110. Additionally or alternatively, Fig.13 One or more of the components shown in the figure may be combined with Figure 2 Additionally or alternatively, one or more components in the set of components may be implemented at least in part as software stored in a memory. For example, a component (or a portion of a component) may be implemented as instructions or code stored in a non-transitory computer-readable medium and can be executed by a controller or processor to perform the function or operation of the component.

[0166] The receiving component 1302 may receive communications, such as reference signals, control information, data communications, or combinations thereof, from the device 1306. The receiving component 1302 may provide the received communications to one or more other components of the device 1300. In some aspects, the receiving component 1302 may perform signal processing (such as filtering, amplification, demodulation, analog-to-digital conversion, demultiplexing, deinterleaving, demapping, equalization, interference cancellation, or decoding, etc.) on the received communications and may provide the processed signals to one or more other components of the device 1300. In some aspects, the receiving component 1302 may include combining Figure 2 The base station 110 is depicted as having one or more antennas, modems, demodulators, MIMO detectors, receive processors, controllers / processors, memories, or combinations thereof.

[0167] Transmit component 1304 may transmit communications, such as reference signals, control information, data communications, or combinations thereof, to device 1306. In some aspects, one or more other components of device 1300 may generate communications and may provide the generated communications to transmit component 1304 for transmission to device 1306. In some aspects, transmit component 1304 may perform signal processing (such as filtering, amplification, modulation, digital-to-analog conversion, multiplexing, interleaving, mapping, or encoding, etc.) on the generated communications and may transmit the processed signals to device 1306. In some aspects, transmit component 1304 may include combining Figure 2 One or more antennas, modems, modulators, transmit MIMO processors, transmit processors, controllers / processors, memories, or combinations thereof of the depicted base station 110. In some aspects, the transmit component 1304 can be co-located with the receive component 1302 in a transceiver.

[0168] The receiving component 1302 may receive an indication from a UE (e.g., UE 905) whether the UE is capable of performing the cognitive assisted beam management procedure. The sending component 1304 and / or the configuring component 1310 may send a configuration to the UE indicating whether the UE should perform the cognitive assisted beam management procedure based at least in part on the indication of whether the UE is capable of performing the cognitive assisted beam management procedure.

[0169] The transmitting component 1304 may transmit a number of reference signals associated with the cognitive auxiliary beam management procedure to the UE, wherein the number of reference signals associated with the cognitive auxiliary beam management procedure is less than the number of reference signals associated with the non-cognitive auxiliary beam management procedure.

[0170] The transmitting component 1304 may transmit a number of reference signals associated with the cognitive auxiliary beam management procedure to the UE, wherein the number of reference signals associated with the cognitive auxiliary beam management procedure is less than the square of the array dimension associated with the adaptive beam weight associated with the non-cognitive auxiliary beam management procedure.

[0171] The receiving component 1302 may receive an indication of at least one of reduced power consumption or reduced thermal overhead from the UE. In some aspects, the configuration indicating whether the UE should perform the cognitive assisted beam management procedure is further sent based at least in part on the indication of reduced power consumption or reduced thermal overhead.

[0172] The receiving component 1302 may receive, from the UE, an indication of an estimation error associated with an adaptive beam weight associated with the cognitive assisted beam management procedure, wherein the configuration indicating whether the UE should perform the cognitive assisted beam management procedure is further sent based at least in part on the indication of the estimation error associated with the adaptive beam weight.

[0173] Fig.13 The number and arrangement of components shown are provided as examples. In practice, there may be Fig.13 Additional components, fewer components, different components, or components arranged in a different manner than those shown. Fig.13 Two or more components shown may be implemented in a single component, or Fig.13 The single component shown may be implemented as multiple distributed components. Additionally or alternatively, Fig.13 The component set (one or more components) shown may be described as being executable by Fig.13 Another component shown is a collection of one or more functions performed.

[0174] The following provides an overview of some aspects of the disclosure:

[0175] Aspect 1: A method of wireless communication performed by a UE, the method comprising: sending an indication to a network entity as to whether the UE is capable of performing a perceptual assisted beam management procedure; and receiving a configuration from the network entity indicating whether the UE should perform the perceptual assisted beam management procedure based at least in part on the indication as to whether the UE is capable of performing the perceptual assisted beam management procedure.

[0176] Aspect 2: The method according to aspect 1, wherein the cognitive assisted beam management procedure is associated with an adaptive beam weight learning procedure for hybrid beamforming at the UE.

[0177] Aspect 3: The method according to any one of Aspects 1 to 2, wherein the indication of whether the UE is capable of performing the sensing assisted beam management procedure is sent via one of RRC communication, UCI communication or MAC-CE communication.

[0178] Aspect 4: A method according to any one of Aspects 1 to 3, wherein the indication of whether the UE is capable of performing the cognitive assisted beam management procedure includes an indication of the number of reference signals associated with performing adaptive beam weight learning associated with the cognitive assisted beam management procedure.

[0179] Aspect 5: According to the method described in any one of Aspects 1 to 4, the method further includes: receiving a number of reference signals associated with the cognitive auxiliary beam management procedure from the network entity, wherein the number of reference signals associated with the cognitive auxiliary beam management procedure is less than the number of reference signals associated with the non-cognitive auxiliary beam management procedure; and performing the cognitive auxiliary beam management procedure at least partially based on the reference signals.

[0180] Aspect 6: According to the method described in any one of Aspects 1 to 5, the method further includes: receiving a number of reference signals associated with the cognitive auxiliary beam management procedure from the network entity, wherein the number of reference signals associated with the cognitive auxiliary beam management procedure is less than the square of the array dimension associated with the adaptive beam weights associated with the non-cognitive auxiliary beam management procedure; and performing the cognitive auxiliary beam management procedure at least in part based on the reference signals.

[0181] Aspect 7: According to the method according to any one of Aspects 1 to 6, the method further includes: determining an adaptive beam weight associated with the perception-assisted beam management procedure; and quantizing the beam weight into a reduced-dimensional codebook space.

[0182] Aspect 8: The method according to aspect 7, wherein the reduced-dimensional codebook space is smaller than the codebook space associated with the non-perceptual auxiliary beam management procedure.

[0183] Aspect 9: The method according to aspect 8, wherein quantizing the beam weights to the reduced-dimensional codebook space results in at least one of reduced power consumption compared to quantizing the beam weights to the codebook space or reduced thermal overhead compared to quantizing the beam weights to the codebook space.

[0184] Aspect 10: The method according to aspect 9, further comprising: sending an indication of the at least one of the power consumption reduction or the thermal overhead reduction to the network entity.

[0185] Aspect 11: According to the method described in any one of Aspects 1 to 10, the method further includes: sending an indication of a reduction in power consumption associated with the cognitive assisted beam management procedure or a reduction in thermal overhead associated with the cognitive assisted beam management procedure to the network entity, wherein the configuration indicating whether the UE should perform the cognitive assisted beam management procedure is further received at least in part based on the indication of the reduction in power consumption or the reduction in thermal overhead.

[0186] Aspect 12: According to the method described in any one of Aspects 1 to 11, the method further includes: sending an indication of an estimation error associated with an adaptive beam weight associated with the cognitive assisted beam management procedure to the network entity, wherein the configuration indicating whether the UE should perform the cognitive assisted beam management procedure is further received at least in part based on the indication of the estimation error associated with the adaptive beam weight.

[0187] Aspect 13: A method of wireless communication performed by a network entity, the method comprising: receiving an indication from a UE as to whether the UE is capable of performing a perceptual assisted beam management procedure; and sending a configuration to the UE indicating whether the UE should perform the perceptual assisted beam management procedure based at least in part on the indication as to whether the UE is capable of performing the perceptual assisted beam management procedure.

[0188] Aspect 14: The method according to aspect 13, wherein the cognitive assisted beam management procedure is associated with an adaptive beam weight learning procedure for hybrid beamforming at the UE.

[0189] Aspect 15: The method according to any one of Aspects 13 to 14, wherein the indication of whether the UE is capable of performing the cognitive assisted beam management procedure is received via one of RRC communication, UCI communication, or MAC-CE communication.

[0190] Aspect 16: A method according to any one of Aspects 13 to 15, wherein the indication of whether the UE is capable of performing the cognitive assisted beam management procedure includes an indication of the number of reference signals associated with performing adaptive beam weight learning associated with the cognitive assisted beam management procedure.

[0191] Aspect 17: According to any one of Aspects 13 to 16, the method includes: sending a number of reference signals associated with the cognitive auxiliary beam management procedure to the UE, wherein the number of reference signals associated with the cognitive auxiliary beam management procedure is less than the number of reference signals associated with the non-cognitive auxiliary beam management procedure.

[0192] Aspect 18: According to the method described in any one of Aspects 13 to 17, the method further includes: sending a number of reference signals associated with the cognitive auxiliary beam management procedure to the UE, wherein the number of reference signals associated with the cognitive auxiliary beam management procedure is less than the square of the array dimension associated with the adaptive beam weights associated with the non-cognitive auxiliary beam management procedure.

[0193] Aspect 19: The method according to any one of aspects 13 to 18, wherein the perceptual-assisted beam management procedure is associated with quantizing beam weights into a reduced-dimensional codebook space.

[0194] Aspect 20: The method according to aspect 19, wherein the reduced-dimensional codebook space is smaller than the codebook space associated with the non-perceptual auxiliary beam management procedure.

[0195] Aspect 21: The method according to aspect 20, wherein quantizing the beam weights to the reduced-dimensional codebook space results in at least one of reduced power consumption compared to quantizing the beam weights to the codebook space or reduced thermal overhead compared to quantizing the beam weights to the codebook space.

[0196] Aspect 22: The method according to aspect 21, the method further comprising: receiving an indication of the at least one of the power consumption reduction or the thermal overhead reduction from the UE.

[0197] Aspect 23: According to the method described in any one of Aspects 13 to 22, the method also includes: receiving an indication of a reduction in power consumption associated with the cognitive assisted beam management procedure or a reduction in thermal overhead associated with the cognitive assisted beam management procedure from the UE, wherein the configuration indicating whether the UE should perform the cognitive assisted beam management procedure is further sent at least in part based on the indication of the reduction in power consumption or the reduction in thermal overhead.

[0198] Aspect 24: According to the method described in any one of Aspects 13 to 23, the method further includes: receiving an indication of an estimation error associated with an adaptive beam weight associated with the cognitive assisted beam management procedure from the UE, wherein the configuration indicating whether the UE should perform the cognitive assisted beam management procedure is further sent at least in part based on the indication of the estimation error associated with the adaptive beam weight.

[0199] Aspect 25: An apparatus for performing wireless communications at a device, the apparatus comprising: a processor; a memory coupled to the processor; and instructions stored in the memory and executable by the processor to cause the apparatus to perform one or more of the methods described in Aspects 1 to 12.

[0200] Aspect 26: A device for wireless communication, the device comprising a memory and one or more processors coupled to the memory, the one or more processors configured to perform the method according to one or more of aspects 1 to 12.

[0201] Aspect 27: An apparatus for wireless communication, the apparatus comprising at least one means for performing the method according to one or more of aspects 1 to 12.

[0202] Aspect 28: A non-transitory computer-readable medium storing code for wireless communication, the code comprising instructions executable by a processor to perform the method according to one or more of aspects 1 to 12.

[0203] Aspect 29: A non-transitory computer-readable medium storing an instruction set for wireless communication, the instruction set comprising one or more instructions that, when executed by one or more processors of a device, cause the device to perform one or more of the methods described in aspects 1 to 12.

[0204] Aspect 30: An apparatus for wireless communication at a device, the apparatus comprising: a processor; a memory coupled to the processor; and instructions stored in the memory and executable by the processor to cause the apparatus to perform one or more of the methods described in Aspects 13 to 24.

[0205] Aspect 31: A device for wireless communication, the device comprising a memory and one or more processors coupled to the memory, the one or more processors configured to perform the method according to one or more of aspects 13 to 24.

[0206] Aspect 32: An apparatus for wireless communication, the apparatus comprising at least one means for performing the method according to one or more of aspects 13 to 24.

[0207] Aspect 33: A non-transitory computer-readable medium storing code for wireless communication, the code comprising instructions executable by a processor to perform the method according to one or more of aspects 13 to 24.

[0208] Aspect 34: A non-transitory computer-readable medium storing an instruction set for wireless communication, the instruction set comprising one or more instructions that, when executed by one or more processors of a device, cause the device to perform one or more of the methods described in aspects 13 to 24.

[0209] The foregoing disclosure provides illustration and description, but is not intended to be exhaustive or to limit the aspects to the precise forms disclosed. Modifications and variations may be made in light of the above disclosure or may be acquired from practice of the various aspects.

[0210] As used herein, the term "component" is intended to be broadly interpreted as hardware, and / or a combination of hardware and software. Whether referred to as software, firmware, middleware, microcode, hardware description language or other names, "software" should be broadly interpreted as meaning instructions, instruction sets, codes, code segments, program codes, programs, subroutines, software modules, applications, software applications, software packages, routines, subroutines, objects, executable files, execution threads, procedures and / or functions, etc. As used herein, "processor" is implemented by a combination of hardware and / or hardware and software. It will be apparent that the system and / or method described herein can be implemented by a combination of hardware and / or hardware and software in different forms. The actual dedicated control hardware or software code used to implement these systems and / or methods does not limit various aspects. Therefore, there is no reference to a specific software code herein to describe the operation and behavior of the system and / or method, because it will be understood by those skilled in the art that software and hardware can be designed to implement the system and / or method at least in part based on the description herein.

[0211] As used herein, "satisfying a threshold" may refer to a value being greater than a threshold, greater than or equal to a threshold, less than a threshold, less than or equal to a threshold, equal to a threshold, not equal to a threshold, etc., depending on the context.

[0212] Although the specific combination of features is set forth in the claims and / or disclosed in the specification, these combinations are not intended to limit the disclosure of various aspects. Many of these features can be combined in a manner that is not specifically listed in the claims and / or is not disclosed in the specification. The disclosure of various aspects includes each dependent claim combined with each other claim in the claim set. As used herein, the phrase "at least one of" the item list refers to any combination of these items (it includes a single member). As an example, "at least one of a, b or c" is intended to cover a, b, c, a+b, a+c, b+c and a+b+c, and any combination with multiple identical elements (for example, a+a, a+a+a, a+a+b, a+a+c, a+b+b, a+c+c, b+b, b+b+b, b+b+c, c+c and c+c+c, or any other sorting of a, b and c).

[0213] Any element, action or instruction used herein should not be interpreted as key or necessary, unless clearly stated so. In addition, as used herein, the article "one" is intended to include one or more projects, and can be used interchangeably with "one or more". In addition, as used herein, the article "said" is intended to include one or more projects connected with the article "said", and can be used interchangeably with "one or more". In addition, as used herein, the terms "set" and "group" are intended to include one or more projects, and can be used interchangeably with "one or more". If only want to refer to a project, the phrase "only one" or similar terms will be used. In addition, as used herein, the terms "have", "have", "have" etc. are intended to be open terms, which do not limit the elements they modify (for example, "an element with" A can also have B). In addition, the phrase "based on" is intended to represent "based at least in part on", unless explicitly stated otherwise. Furthermore, as used herein, the term "or" when used in a series is intended to be open-ended and used interchangeably with "and / or" unless expressly stated otherwise (eg, if used in conjunction with "either" or "only one of").

Claims

1. An apparatus for wireless communication at a user equipment (UE), the apparatus comprising: Memory; and one or more processors coupled to the memory and configured to: sending an indication to a network entity whether the UE is capable of performing a sensing assisted beam management procedure; as well as Based at least in part on the indication of whether the UE is capable of performing the cognitive assisted beam management procedure, receiving a configuration from the network entity indicating whether the UE should perform the cognitive assisted beam management procedure.

2. The apparatus of claim 1, wherein the cognitively assisted beam management procedure is associated with an adaptive beam weight learning procedure for hybrid beamforming at the UE.

3. An apparatus according to claim 1, wherein the indication of whether the UE is capable of performing the sensing assisted beam management procedure is sent via one of radio resource control (RRC) communication, uplink control information (UCI) communication, or medium access control (MAC) control element (MAC-CE) communication.

4. The apparatus of claim 1 , wherein the indication of whether the UE is capable of performing the cognitive assisted beam management procedure comprises an indication of a number of reference signals associated with performing adaptive beam weight learning associated with the cognitive assisted beam management procedure.

5. The apparatus of claim 1 , wherein the one or more processors are further configured to: receiving, from the network entity, a number of reference signals associated with the cognitive assisted beam management procedure, wherein the number of reference signals associated with the cognitive assisted beam management procedure is less than the number of reference signals associated with an unaware assisted beam management procedure; and The cognitive assisted beam management procedure is performed based at least in part on the reference signal associated with the cognitive assisted beam management procedure.

6. The apparatus of claim 1, wherein the one or more processors are further configured to: receiving, from the network entity, a number of reference signals associated with the cognitive assisted beam management procedure, wherein the number of reference signals associated with the cognitive assisted beam management procedure is less than the square of a dimension of an array associated with adaptive beam weights associated with an unaware assisted beam management procedure; and The cognitive assisted beam management procedure is performed based at least in part on the reference signal associated with the cognitive assisted beam management procedure.

7. The apparatus of claim 1, wherein the one or more processors are further configured to: determining adaptive beam weights associated with the cognitive assisted beam management procedure; and The adaptive beam weights are quantized into a reduced-dimensional codebook space.

8. The apparatus of claim 7, wherein the reduced-dimensional codebook space is smaller than a codebook space associated with an unconscious auxiliary beam management procedure.

9. The apparatus of claim 8, wherein quantizing the adaptive beam weights to the reduced-dimensional codebook space results in at least one of reduced power consumption compared to quantizing the adaptive beam weights to the codebook space or reduced thermal overhead compared to quantizing the adaptive beam weights to the codebook space.

10. The apparatus of claim 9, wherein the one or more processors are further configured to send an indication of the at least one of the reduction in power consumption or the reduction in thermal overhead to the network entity.

11. An apparatus according to claim 1, wherein the one or more processors are further configured to send an indication of a reduction in power consumption associated with the cognitive assisted beam management procedure or a reduction in thermal overhead associated with the cognitive assisted beam management procedure to the network entity, wherein the configuration indicating whether the UE should perform the cognitive assisted beam management procedure is further received based at least in part on the indication of the reduction in power consumption or the reduction in thermal overhead.

12. An apparatus according to claim 1, wherein the one or more processors are further configured to send an indication of an estimation error associated with an adaptive beam weight associated with the cognitive assisted beam management procedure to the network entity, wherein the configuration indicating whether the UE should perform the cognitive assisted beam management procedure is further received based at least in part on the indication of the estimation error associated with the adaptive beam weight.

13. An apparatus for wireless communication at a network entity, the apparatus comprising: Memory; and one or more processors coupled to the memory and configured to: receiving, from a user equipment (UE), an indication of whether the UE is capable of performing a sensing assisted beam management procedure; as well as Based at least in part on the indication of whether the UE is capable of performing the cognitive assisted beam management procedure, a configuration is sent to the UE indicating whether the UE should perform the cognitive assisted beam management procedure.

14. The apparatus of claim 13, wherein the cognitively assisted beam management procedure is associated with an adaptive beam weight learning procedure for hybrid beamforming at the UE.

15. An apparatus according to claim 13, wherein the indication of whether the UE is capable of performing the sensing assisted beam management procedure is received via one of a radio resource control (RRC) communication, an uplink control information (UCI) communication, or a medium access control (MAC) control element (MAC-CE) communication.

16. The apparatus of claim 13, wherein the indication of whether the UE is capable of performing the cognitive assisted beam management procedure comprises an indication of a number of reference signals associated with performing adaptive beam weight learning associated with the cognitive assisted beam management procedure.

17. An apparatus according to claim 13, wherein the one or more processors are further configured to send a number of reference signals associated with the cognitive auxiliary beam management procedure to the UE, wherein the number of reference signals associated with the cognitive auxiliary beam management procedure is less than the number of reference signals associated with the non-cognitive auxiliary beam management procedure.

18. The apparatus of claim 13, wherein the one or more processors are further configured to send a number of reference signals associated with the cognitive auxiliary beam management procedure to the UE, wherein the number of reference signals associated with the cognitive auxiliary beam management procedure is less than the square of an array dimension associated with an adaptive beam weight associated with a non-cognitive auxiliary beam management procedure.

19. The apparatus of claim 13, wherein the perceptually assisted beam management procedure is associated with quantizing adaptive beam weights into a reduced-dimensional codebook space.

20. The apparatus of claim 19, wherein the reduced-dimensional codebook space is smaller than a codebook space associated with an unconscious auxiliary beam management procedure.

21. The apparatus of claim 20, wherein quantizing the adaptive beam weights to the reduced-dimensional codebook space results in at least one of reduced power consumption compared to quantizing the adaptive beam weights to the codebook space or reduced thermal overhead compared to quantizing the adaptive beam weights to the codebook space.

22. The apparatus of claim 21, wherein the one or more processors are further configured to receive an indication of the at least one of the power consumption reduction or the thermal overhead reduction from the UE.

23. An apparatus according to claim 13, wherein the one or more processors are further configured to receive an indication of a reduction in power consumption associated with the cognitive auxiliary beam management procedure or a reduction in thermal overhead associated with the cognitive auxiliary beam management procedure from the UE, wherein the configuration indicating whether the UE should perform the cognitive auxiliary beam management procedure is further sent based at least in part on the indication of the reduction in power consumption or the reduction in thermal overhead.

24. An apparatus according to claim 13, wherein the one or more processors are further configured to receive, from the UE, an indication of an estimation error associated with an adaptive beam weight associated with the cognitive assisted beam management procedure, wherein the configuration indicating whether the UE should perform the cognitive assisted beam management procedure is further sent based at least in part on the indication of the estimation error associated with the adaptive beam weight.

25. A method of wireless communication performed by a user equipment (UE), the method comprising: sending an indication to a network entity whether the UE is capable of performing a sensing assisted beam management procedure; as well as Based at least in part on the indication of whether the UE is capable of performing the cognitive assisted beam management procedure, receiving a configuration from the network entity indicating whether the UE should perform the cognitive assisted beam management procedure.

26. The method of claim 25, wherein the cognitively assisted beam management procedure is associated with an adaptive beam weight learning procedure for hybrid beamforming at the UE.

27. The method according to claim 25, further comprising: receiving, from the network entity, a number of reference signals associated with the cognitive auxiliary beam management procedure, wherein the number of reference signals associated with the cognitive auxiliary beam management procedure is less than the number of reference signals associated with the non-cognitive auxiliary beam management procedure; as well as The cognitive assisted beam management procedure is performed based at least in part on the reference signal associated with the cognitive assisted beam management procedure.

28. The method according to claim 25, further comprising: determining adaptive beam weights associated with the cognitive assisted beam management procedure; as well as The adaptive beam weights are quantized into a reduced-dimensional codebook space.

29. A method of wireless communication performed by a network entity, the method comprising: receiving, from a user equipment (UE), an indication of whether the UE is capable of performing a sensing assisted beam management procedure; as well as Based at least in part on the indication of whether the UE is capable of performing the cognitive assisted beam management procedure, a configuration is sent to the UE indicating whether the UE should perform the cognitive assisted beam management procedure.

30. The method of claim 29, wherein the cognitively assisted beam management procedure is associated with an adaptive beam weight learning procedure for hybrid beamforming at the UE.

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