Robust, low complexity digital post-distortion techniques

Abstract

Various aspects of the present disclosure generally relate to wireless communications. In some aspects, a user equipment (UE) may receive a configuration for receiving or computing interference parameters based, at least in part, on one or more estimated power delay profiles (PDPs), one or more precoding rules, and one or more kernels, the one or more estimated PDPs being associated with one or more communication channels. The UE may receive a configuration for applying the interference parameter to transmissions with power close to a compression point of a power amplifier to reduce transmit non-linearity. Numerous other aspects are described.

Description

[0001] Cross Reference to Related Applications

[0002] This patent application claims priority to U.S. Patent Application No. 18 / 361,381, filed July 28, 2023, entitled "ROBUST LOW COMPLEXITY DIGITAL POST DISTORTION TECHNIQUE," assigned to the assignee of this application. The disclosure of the earlier application is considered part of this patent application and is incorporated herein by reference. Technical Field

[0003] All aspects of this disclosure relate to wireless communication, and to techniques and apparatus for digital post-distortion. Background Technology

[0004] Wireless communication systems are widely deployed to provide a variety of telecommunications services, such as telephone, video, data, messaging, and broadcasting. Typical wireless communication systems employ multiple access technologies that enable 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 issued by the 3rd Generation Partnership Project (3GPP).

[0005] A wireless network may include one or more network nodes that support communication for wireless communication devices, such as user equipment (UE) or multiple UEs. A UE may communicate with network nodes via downlink and uplink communication. A "downlink" (or "DL") refers to the communication link from the network node to the UE, and an "uplink" (or "UL") refers to the communication link from the UE to the network node. Some wireless networks may support device-to-device communication, such as via local links (e.g., sidelinks (SL), wireless local area network (WLAN) links, and / or wireless personal area network (WPAN) links, etc.).

[0006] The aforementioned multiple access technologies have been adopted in various telecommunications standards to provide a common protocol that enables different UEs to communicate at the city, country, region, and / or global levels. New Radio (NR) (which may be referred to as 5G) is a set of enhancements to the LTE mobile standard issued by 3GPP. NR is designed to better support mobile broadband internet access by: improving spectrum efficiency; reducing costs; improving service; utilizing new spectrum; and better integrating with other open standards by using Orthogonal Frequency Division Multiplexing (OFDM) with Cyclic Prefix (CP) on the downlink (CP-OFDM), and CP-OFDM and / or Single Carrier Frequency Division Multiplexing (SC-FDM) (also known as Discrete Fourier Transform Extended OFDM (DFT-s-OFDM)) on the uplink; and supporting beamforming, Multiple-Input Multiple-Output (MIMO) antenna technologies and carrier aggregation. Further improvements to LTE, NR, and other radio access technologies remain useful as the demand for mobile broadband access continues to increase. Summary of the Invention

[0007] Some aspects described herein relate to an apparatus for wireless communication at a user equipment (UE). The apparatus may include one or more memories and one or more processors coupled to the one or more memories. The one or more processors may be configured to: receive configuration for receiving or calculating interference parameters at least in part based on one or more estimated power delay distributions (PDPs), one or more pre-decoding rules, and one or more kernels associated with one or more communication channels. The one or more processors may be configured to: receive configuration for applying the interference parameters to transmissions with power close to the compression point of a power amplifier to reduce transmission nonlinearity.

[0008] Some aspects described herein relate to an apparatus for wireless communication at a network node. The apparatus may include one or more memories and one or more processors coupled to the one or more memories. The one or more processors may be configured to: transmit or configure a UE to calculate interference parameters at least in part based on one or more estimated PDPs, one or more pre-decoding rules, and one or more kernels, the one or more estimated PDPs being associated with one or more communication channels. The one or more processors may be configured to: configure the UE to apply the interference parameters to transmissions with power close to the compression point of the power amplifier to reduce transmission nonlinearity.

[0009] Some aspects described herein relate to a method for wireless communication performed by a UE. The method may include: receiving a configuration for receiving or calculating interference parameters at least in part based on one or more estimated PDPs, one or more pre-decoding rules, and one or more kernels, the one or more estimated PDPs being associated with one or more communication channels. The method may also include: receiving a configuration for applying the interference parameters to transmissions with power close to the compression point of a power amplifier to reduce transmission nonlinearity.

[0010] Some aspects described herein relate to a method for wireless communication performed by a network node. The method may include: transmitting or configuring a UE to calculate interference parameters at least in part based on one or more estimated PDPs, one or more pre-decoding rules, and one or more kernels, the one or more estimated PDPs being associated with one or more communication channels. The method may also include: configuring the UE to apply the interference parameters to transmissions with power close to the compression point of a power amplifier to reduce transmission nonlinearity.

[0011] Some aspects described herein relate to a non-transitory computer-readable medium storing a set of instructions for wireless communication by a UE. When executed by one or more processors of the UE, the set of instructions causes the UE to receive configurations for receiving or calculating interference parameters at least in part based on one or more estimated PDPs, one or more pre-decoding rules, and one or more kernels, the one or more estimated PDPs being associated with one or more communication channels. When executed by one or more processors of the UE, the set of instructions also causes the UE to receive configurations for applying the interference parameters to transmissions with power close to the compression point of the power amplifier to reduce transmission nonlinearity.

[0012] Some aspects described herein relate to a non-transitory computer-readable medium storing a set of instructions for wireless communication by a network node. When executed by one or more processors of the network node, the set of instructions causes the network node to transmit or configure a UE to calculate interference parameters, at least in part, based on one or more estimated PDPs, one or more pre-decoding rules, and one or more kernels, the one or more estimated PDPs associated with one or more communication channels. When executed by one or more processors of the network node, the set of instructions causes the network node to configure the UE to apply the interference parameters to transmissions with power close to the compression point of the power amplifier to reduce transmission nonlinearity.

[0013] Some aspects described herein relate to an apparatus for wireless communication. The apparatus may include components for receiving or calculating an interference parameter at least in part based on one or more estimated PDPs, one or more pre-decoding rules, and one or more kernels, the one or more estimated PDPs being associated with one or more communication channels. The apparatus may also include components for receiving a configuration for applying the interference parameter to a transmission with power close to the compression point of a power amplifier to reduce transmission nonlinearity.

[0014] Some aspects described herein relate to an apparatus for wireless communication. The apparatus may include components for transmitting or configuring a UE to calculate interference parameters at least in part based on one or more estimated PDPs, one or more pre-decoding rules, and one or more kernels, the one or more estimated PDPs being associated with one or more communication channels. The apparatus may also include components for configuring the UE to apply the interference parameters to transmission with power close to the compression point of a power amplifier to reduce transmission nonlinearity.

[0015] The entirety of the terms includes methods, apparatus, systems, computer program products, non-transitory computer-readable media, user equipment, base stations, network entities, network nodes, wireless communication devices and / or processing systems as fully described herein with reference to the accompanying drawings and description and illustrated as illustrated in the drawings and description.

[0016] The features and technical advantages of the examples according to this disclosure have been summarized rather extensively above in order to better understand the detailed description below. Additional features and advantages will be described below. The disclosed concepts and specific examples can be readily used as the basis for modifying or designing other structures for achieving the same purpose as this disclosure. Such equivalent constructions do not depart from the scope of the appended claims. The characteristics of the concepts disclosed herein, in both their organization and manner of operation, and the associated advantages, will be better understood by considering the following description in conjunction with the accompanying drawings. Each of the drawings provided is for illustrative and descriptive purposes and not as a definition of limitation of the claims.

[0017] While aspects are described herein by way of example, those skilled in the art will understand that such aspects can be implemented in many different arrangements and scenarios. The techniques described herein can be implemented using different platform types, devices, systems, shapes, sizes, and / or package arrangements. For example, some aspects can be implemented via integrated chip implementations or other devices based on non-modular components (e.g., end-user equipment, vehicles, communication equipment, computing devices, industrial equipment, retail / shopping devices, medical devices, and / or artificial intelligence devices). 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. Devices incorporating the described aspects and features may include additional components and features for implementing and practicing the claimed and described aspects. For example, the transmission and reception of wireless signals may include one or more components for analog and digital purposes (e.g., hardware components including antennas, radio frequency (RF) chains, power amplifiers, modulators, buffers, processors, interleavers, adders, and / or summers). The aspects described herein are intended to be practiced in a wide variety of devices, components, systems, distributed arrangements, and / or end-user equipment of various sizes, shapes, and configurations. Attached Figure Description

[0018] To gain a full understanding of the foregoing features of this disclosure, a more specific description of the invention, briefly outlined 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 drawings illustrate only certain typical aspects of this disclosure and are therefore not to be considered as limiting its scope, as other equally valid aspects are permissible in this description. The same reference numerals in different drawings may identify the same or similar elements.

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

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

[0021] Figure 3 This is a diagram illustrating an example decomposed base station architecture according to this disclosure.

[0022] Figure 4 This is an illustration of an example of a component for preprocessing and postprocessing signals according to the present disclosure.

[0023] Figure 5 This is a diagram illustrating an example of digital post-distortion (DPoD) processing for multi-layer frequency-selective pre-decoding transmission associated with multiple transmit antennas.

[0024] Figure 6 This is a diagram illustrating an example of a DPoD associated with multi-layer, multi-antenna, frequency-selective pre-decoding according to the present disclosure.

[0025] Figure 7 This is a diagram illustrating an example of a DPoD technique for reducing interference according to this disclosure.

[0026] Figure 8 This is a diagram illustrating an example procedure performed by a UE according to this disclosure, for example.

[0027] Figure 9 This is a diagram illustrating an example process performed, for example, by a network node according to this disclosure.

[0028] Figure 10 This is a diagram of an example device for wireless communication according to the present disclosure.

[0029] Figure 11 This is a diagram of an example device for wireless communication according to the present disclosure. Detailed Implementation

[0030] Digital post-distortion (DPoD) mitigates the effects of transmitted signals near a power amplifier (PA). When a PA operates at or near its saturation point, distortion is introduced into the transmitted signal, resulting in out-of-band radiation and in-band distortion. This not only degrades service quality but also causes interference with adjacent channels. DPoD, performed by the transmitting device, introduces inverse nonlinearity into the transmitted signal before amplification, effectively pre-distorting the signal and counteracting the PA's distortion effects. The model parameters used when applying DPoD are periodically updated based on feedback from the receiver to improve performance.

[0031] Various aspects are involved in DPoD technology as a whole. Some aspects are more specifically related to low-complexity DPoD technology suitable for complex use cases, such as those characterized by a mixture of arbitrary pre-decoding and / or antenna power delay distributions. In some examples, user equipment receives configurations for receiving or calculating interference parameters at least in part based on one or more estimated power delay distributions (PDPs), one or more pre-decoding rules, and one or more kernels. In some examples, network nodes transmit or configure the UE to calculate interference parameters at least in part based on one or more estimated PDPs, one or more pre-decoding rules, and one or more kernels.

[0032] Specific aspects of the subject matter described in this disclosure can be implemented to achieve one or more of the following potential advantages. In some examples, by receiving or calculating interference parameters, the described techniques can be used to transmit at higher power, thereby improving signal-to-noise ratio, capacity, and power efficiency. In some examples, by configuring the UE to receive or calculate interference parameters, the described techniques can be used to apply DPoD to more complex communication systems, such as systems with multiple transmit antennas and during single-user multiple-input multiple-output (SU-MIMO) communication.

[0033] Various aspects of this disclosure are described more fully below with reference to the accompanying drawings. However, this disclosure may be embodied in many different forms and should not be construed as limited to any particular structure or function presented throughout this disclosure. Rather, these aspects are provided so that this disclosure will be thorough and complete, and will fully convey the scope of this disclosure to those skilled in the art. Those skilled in the art will appreciate that the scope of this disclosure is intended to cover any aspect of this disclosure disclosed herein, whether implemented independently or in combination with any other aspect of this disclosure. For example, any number of aspects set forth herein may be used to implement an apparatus or method of practice. Furthermore, the scope of this disclosure is intended to cover such apparatus or methods practiced using structures, functions, or structures and functions other than or different from the aspects of the disclosure set forth herein. It should be understood that any aspect of the disclosure herein may be embodied by one or more elements of the claims.

[0034] Various devices and techniques will now be used to illustrate several aspects of a telecommunications system. These devices and techniques will be described in detail below and illustrated in the accompanying drawings by various blocks, modules, components, circuits, steps, processes, or algorithms (collectively, “elements”). These elements may 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 system as a whole.

[0035] Although terms generally associated with 5G or New Radio (NR) Radio Access Technology (RAT) may be used herein to describe aspects, aspects of this disclosure may be applied to other RATs, such as 3G RAT, 4G RAT and / or 5G and later (e.g., 6G) RATs.

[0036] Figure 1This is a diagram illustrating an example of a wireless network 100 according to the present disclosure. The wireless network 100 may be a 5G (e.g., NR) network and / or a 4G (e.g., Long Term Evolution (LTE)) network, or may include elements of a 5G (e.g., NR) network and / or elements of a 4G (e.g., LTE) network, etc. The wireless network 100 may include one or more network nodes 110 (shown as network node 110a, network node 110b, network node 110c, and network node 110d), one or more UEs 120 (shown as UE 120a, UE 120b, UE 120c, UE 120d, and UE 120e), and / or other entities. Network node 110 is a network node that communicates with UE 120. As shown, network node 110 may include one or more network nodes. For example, network node 110 can be an aggregated network node, meaning that the aggregated network node is configured to utilize a radio protocol stack that is physically or logically integrated within a single radio access network (RAN) node (e.g., within a single device or unit). As another example, network node 110 can be a decomposed network node (sometimes referred to as a decomposed base station), meaning that network node 110 is configured to utilize a protocol stack that is physically or logically distributed among two or more nodes (such as one or more central units (CUs), one or more distributed units (DUs), or one or more radio units (RUs)).

[0037] In some examples, network node 110 is or includes network nodes (such as RUs) that communicate with UE 120 via a radio access link. In some examples, network node 110 is or includes network nodes (such as DUs) that communicate with other network nodes 110 via a fronthaul or midhaul link. In some examples, network node 110 is or includes network nodes (such as CUs) that communicate with other network nodes 110 via a midhaul link or with the core network via a backhaul link. In some examples, network node 110 (such as aggregated network node 110 or decomposed network node 110) may include multiple network nodes, such as one or more RUs, one or more CUs, and / or one or more DUs. Network node 110 may include, for example, NR base stations, LTE base stations, Node Bs, eNBs (e.g., in 4G), gNBs (e.g., in 5G), access points, Transmit / Receive Points (TRPs), DUs, RUs, CUs, network mobility elements, core network nodes, network elements, network equipment, RAN nodes, or combinations thereof. In some examples, network nodes 110 can interconnect with each other or with one or more other network nodes 110 in the wireless network 100 using any suitable transport network through various types of fronthaul interfaces, midhaul interfaces, and / or backhaul interfaces (such as direct physical connections, air interfaces, or virtual networks).

[0038] In some examples, network node 110 may provide communication coverage for a specific geographic area. In the 3rd Generation Partnership Project (3GPP), depending on the context in which the term is used, the term "cell" may refer to the coverage area of ​​network node 110 and / or the network node subsystem serving that coverage area. Network node 110 may provide communication coverage for macrocells, picocells, femtocells, and / or another type of cell. A macrocell 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 picocell may cover a relatively small geographic area and may allow unrestricted access by UE 120 with a service subscription. A femtocell may cover a relatively small geographic area (e.g., a home) and may allow restricted access by UE 120 associated with the femtocell (e.g., UE 120 in a Closed Subscriber Group (CSG)). Network node 110 used for macrocells may be referred to as a macro network node. Network node 110 used for picocells may be referred to as a pico network node. The network node 110 used for femtocells can be referred to as a femtocell network node or a home network node. Figure 1 In the example shown, network node 110a can be a macro network node for macro cell 102a, network node 110b can be a pico network node for pico cell 102b, and network node 110c can be a femto network node for femto cell 102c. Network nodes can support one or more (e.g., three) cells. In some examples, the cells may not necessarily be stationary, and the geographical area of ​​the cells may move depending on the location of the mobile network node 110 (e.g., a mobile network node).

[0039] In some aspects, the term "base station" or "network node" may refer to an aggregated base station, a decomposed base station, an integrated access and backhaul (IAB) node, a relay node, or one or more components thereof. For example, in some aspects, "base station" or "network node" may refer to a CU, DU, RU, a near real-time (near RT) RAN intelligent controller (RIC), or a non-real-time (non-RT) RIC, or a combination thereof. In some aspects, the term "base station" or "network node" may refer to a device configured to perform one or more functions (such as those described herein in conjunction with network node 110). In some aspects, the term "base station" or "network node" may refer to multiple devices configured to perform one or more functions. For example, in some distributed systems, each of multiple different devices (which may be located in the same geographical location or different geographical locations) may be configured to perform at least a portion of a function, or to repeatedly perform at least a portion of that function, and the term "base station" or "network node" may refer to any one or more of these different devices. In some aspects, the term "base station" or "network node" may refer to one or more virtual base stations or one or more virtual base station functions. For example, in some aspects, two or more base station functions can be instantiated on a single device. In some aspects, the term "base station" or "network node" may refer to one base station function rather than another. In this way, a single device may include more than one base station.

[0040] Wireless network 100 may include one or more relay stations. A relay station is a network node that can receive data transmissions from upstream nodes (e.g., network node 110 or UE 120) and transmit data to downstream nodes (e.g., UE 120 or network node 110). A relay station may be a UE 120 that can relay transmissions for other UE 120s. Figure 1 In the example shown, network node 110d (e.g., a relay network node) can communicate with network node 110a (e.g., a macro network node) and UE 120d to facilitate communication between network node 110a and UE 120d. The network node 110 for relay communication may be referred to as a relay station, relay base station, relay network node, relay node, or repeater, etc.

[0041] The wireless network 100 can be a heterogeneous network, comprising different types of network nodes 110, such as macro network nodes, pico network nodes, femto network nodes, or relay network nodes. These different types of network nodes 110 may have different transmit power levels, different coverage areas, and / or different effects on interference in the wireless network 100. For example, macro network nodes may have high transmit power levels (e.g., 5 watts to 40 watts), while pico network nodes, femto network nodes, and relay network nodes may have lower transmit power levels (e.g., 0.1 watts to 2 watts).

[0042] Network controller 130 may be coupled to or communicate with a group of network nodes 110, and may provide coordination and control for these network nodes 110. Network controller 130 may communicate with network nodes 110 via a backhaul or midhaul link. Network nodes 110 may also communicate directly with each other, or indirectly via a wireless or wired backhaul link. In some aspects, network controller 130 may be a CU or a core network device, or may include a CU or a core network device.

[0043] UE 120 may be distributed throughout the wireless network 100, and each UE 120 may be stationary or mobile. UE 120 may include, for example, access terminals, terminals, mobile stations, and / or subscriber units. UE 120 may be a cellular phone (e.g., a smartphone), 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 smartwatch, smart clothing, smart glasses, a smart wristband, smart jewelry (e.g., a smart ring or 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, industrial manufacturing equipment, a GPS device, a UE function of a network node, and / or any other suitable device configured to communicate via wireless or wired media.

[0044] Some UEs 120 may be considered machine-type communication (MTC) or evolved or enhanced machine-type communication (eMTC) UEs. MTC UEs and / or eMTC UEs may include, for example, robots, unmanned aerial vehicles, remote devices, sensors, instruments, monitors, and / or location tags that can communicate with network nodes, another device (e.g., a remote device), or some other entity. Some UEs 120 may be considered Internet of Things (IoT) devices and / or may be implemented as NB-IoT (Narrowband IoT) devices. Some UEs 120 may be considered customer premises equipment. UEs 120 may be included within a housing that houses the components of the UE 120, such as processor components and / or memory components. In some examples, the processor components and memory components may be coupled together. For example, the processor components (e.g., one or more processors) and memory components (e.g., memory) may be operatively coupled, communicatively coupled, electronically coupled, and / or electrically coupled.

[0045] Generally, any number of wireless networks 100 can be deployed in a given geographical area. Each wireless network 100 can support a specific RAT and can operate on one or more frequencies. A RAT may be referred to as a radio technology or air interface, etc. A frequency may be referred to as a carrier or frequency channel, etc. Each frequency in a given geographical area can support a single RAT to avoid interference between wireless networks using different RATs. In some cases, NR or 5G RAT networks can be deployed.

[0046] In some examples, two or more UEs 120 (e.g., shown as UE 120a and UE 120e) may communicate directly using one or more sidelink channels (e.g., without using network node 110 as an intermediary device 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 network node 110.

[0047] Devices in Wireless Network 100 can communicate using the electromagnetic spectrum, which can be subdivided into various categories, bands, or channels based on frequency or wavelength. For example, devices in Wireless Network 100 can communicate using one or more operating bands. In 5G NR, two initial operating bands have been designated as frequency ranges FR1 (410MHz to 7.125GHz) and FR2 (24.25GHz to 52.6GHz). It should be understood that although a portion of FR1 is greater than 6GHz, FR1 is often (interchangeably) referred to as the “sub-6GHz” band in various documents and articles. Similar naming issues sometimes occur with FR2, which is often (interchangeably) referred to as the “millimeter wave” band in documents and articles, although this is different from the Extremely High Frequency (EHF) band (30GHz to 300GHz) designated as a “millimeter wave” band by the International Telecommunication Union (ITU).

[0048] The frequencies between FR1 and FR2 are generally referred to as mid-band frequencies. Recent 5G NR studies have identified the operating bands used for these mid-band frequencies as the frequency range designation FR3 (7.125 GHz to 24.25 GHz). Bands falling within FR3 can inherit FR1 and / or FR2 characteristics, thus effectively extending the features of FR1 and / or FR2 to mid-band frequencies. Furthermore, higher frequency bands are currently being explored to extend 5G NR operation beyond 52.6 GHz. For example, three higher operating frequency bands have been identified as the frequency range designations FR4a or FR4-1 (52.6 GHz to 71 GHz), FR4 (52.6 GHz to 114.25 GHz), and FR5 (114.25 GHz to 300 GHz). Each of these higher frequency bands falls within the EHF band.

[0049] Considering the examples above, unless otherwise specifically stated, it should be understood that when the term "below 6 GHz" is used herein, it can broadly refer to frequencies below 6 GHz, within FR1, or including intermediate frequency band frequencies. Furthermore, unless otherwise specifically stated, it should be understood that when the term "millimeter wave" is used herein, it can broadly refer to frequencies that can include intermediate frequency band frequencies, within FR2, FR4, FR4-a, or FR4-1 and / or FR5, or within the EHF band. Modifications to frequencies included in these operating frequency bands (e.g., FR1, FR2, FR3, FR4, FR4-a, FR4-1, and / or FR5) are contemplated, and the techniques described herein are applicable to those modified frequency ranges.

[0050] In some aspects, UE 120 may include a communication manager 140. As described in more detail elsewhere herein, the communication manager 140 may receive configurations for receiving or calculating interference parameters at least in part based on one or more estimated PDPs, one or more pre-decoding rules, and one or more kernels associated with one or more communication channels; and for receiving configurations for applying the interference parameters to transmissions with power close to the compression point of the power amplifier to reduce transmission nonlinearity. Additionally or alternatively, the communication manager 140 may perform one or more other operations described herein.

[0051] In some aspects, network node 110 may include communication manager 150. As described in more detail elsewhere herein, communication manager 150 may send or configure UE to calculate interference parameters based at least in part on one or more estimated PDPs, one or more pre-decoding rules, and one or more kernels, the one or more estimated PDPs being associated with one or more communication channels; and configure UE to apply the interference parameters to transmissions with power close to the compression point of the power amplifier to reduce transmission nonlinearity. Additionally or alternatively, communication manager 150 may perform one or more other operations described herein.

[0052] As indicated above, Figure 1 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 1 The examples described are different.

[0053] Figure 2 This is a diagram illustrating example 200 of communication between network node 110 and UE 120 in a wireless network 100 according to this disclosure. Network node 110 may be equipped with a set of antennas 234a to 234t, such as... T One antenna ( T ≥1). The UE 120 may be equipped with a set of antennas 252a to 252r, such as R One antenna ( R ≥1). Network node 110 of Example 200 includes one or more radio frequency components, such as antenna 234 and modem 232. In some examples, network node 110 may include an interface, communication components, or another component that facilitates communication with UE 120 or another network node. Some network node 110 may not include radio frequency components that facilitate direct communication with UE 120, such as one or more CUs or one or more DUs.

[0054] At network node 110, transmitting processor 220 can receive data from data source 212 intended for use by UE 120 (or a group of UEs 120). Transmitting processor 220 can select one or more modulation and decoding schemes (MCS) for UE 120, at least in part, based on one or more Channel Quality Indicators (CQIs) received from UE 120. Network node 110 can process (e.g., encode and modulate) the data for UE 120, at least in part, based on the MCS selected for UE 120, and can provide data symbols for UE 120. Transmitting processor 220 can process system information (e.g., for semi-static resource allocation information (SRPI)) and control information (e.g., CQI requests, grants, and / or upper-layer signaling), and provide overhead symbols and control symbols. Transmitting processor 220 can 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 signal (PSS) or secondary synchronization signal (SSS)). The transmit (TX) multiple-input multiple-output (MIMO) processor 230 can perform spatial processing (e.g., pre-decoding) on ​​data symbols, control symbols, overhead symbols, and / or reference symbols where applicable, and can transmit a set of output symbol streams (e.g., T Each output symbol stream is provided to a corresponding set of modems 232 (e.g., ...). T Each modem 232a to 232t may be used to process a corresponding output symbol stream (e.g., for OFDM) to obtain an output sample stream. For example, each output symbol stream may be provided to a modulator component (MOD) of modem 232. Each modem 232 may use a corresponding modulator component to process the corresponding output symbol stream (e.g., for OFDM) to obtain an output sample stream. Each modem 232 may also use a corresponding modulator component to process the output sample stream (e.g., convert to analog, amplify, filter, and / or up-convert) to obtain a downlink signal. Modems 232a to 232t may be used via a corresponding set of antennas 234 (e.g., T Each antenna (shown as antennas 234a to 234t) is used to transmit a set of downlink signals (e.g., ...). T (One downlink signal).

[0055] At UE 120, a set of antennas 252 (shown as antennas 252a to 252r) can receive downlink signals from network node 110 and / or other network nodes 110 and can transmit a set of received signals (e.g., R The received signals are provided to a group of modems 254 (e.g., REach modem 254 (shown as modems 254a to 254r) may receive a signal. For example, each received signal may be provided to a demodulator component (shown as DEMOD) of modem 254. Each modem 254 may use a corresponding demodulator component to condition (e.g., filter, amplify, down-convert, and / or digitize) the received signal to obtain an input sample. Each modem 254 may use a demodulator component to further process the input sample (e.g., for OFDM) to obtain a received symbol. MIMO detector 256 may obtain the received symbols from modem 254, perform MIMO detection on the received symbols where applicable, and provide the detected symbols. Receiver processor 258 may process (e.g., demodulate and decode) the detected symbols, provide the decoded data for UE 120 to data sink 260, and provide the decoded control information and system information to 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 can determine parameters such as the Reference Signal Received Power (RSRP), Received Signal Strength Indicator (RSSI), Reference Signal Received Quality (RSRQ), and / or CQI. In some examples, one or more components of the UE 120 may be included in the housing 284.

[0056] Network controller 130 may include communication unit 294, controller / processor 290, and memory 292. Network controller 130 may include one or more devices, for example, in a core network. Network controller 130 may communicate with network node 110 via communication unit 294.

[0057] One or more antennas (e.g., antennas 234a to 234t and / or antennas 252a to 252r) may include 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., or may 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 (within a single housing or multiple housings), a set of coplanar antenna elements, a set of non-coplanar antenna elements and / or be coupled to one or more transmitting and / or receiving components (such as...). Figure 2 One or more antenna elements (one or more components in a )

[0058] On the uplink, at UE 120, the transmit processor 264 can receive and process data from data source 262 and control information from controller / processor 280 (e.g., for reporting including RSRP, RSSI, RSRQ, and / or CQI). The transmit processor 264 can generate reference symbols for one or more reference signals. The symbols from the transmit processor 264 can 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 network node 110. In some examples, the modem 254 of UE 120 may include a modulator and demodulator. In some examples, UE 120 includes a transceiver. The transceiver may include any combination of antenna 252, modem 254, MIMO detector 256, receive processor 258, transmit processor 264, and / or TX MIMO processor 266. The transceiver may be used by a processor (e.g., controller / processor 280) and memory 282 to execute this document (e.g., reference). Figures 4 to 11 ( ) any aspect of the methods described in the method.

[0059] At network node 110, uplink signals from UE 120 and / or other UEs may be received by antenna 234, processed by modem 232 (e.g., demodulator component of modem 232 (shown as DEMOD)), detected by MIMO detector 236 (where applicable), and further processed by receive processor 238 to obtain decoded data and control information transmitted by UE 120. Receive processor 238 may provide the decoded data to data sink 239 and the decoded control information to controller / processor 240. Network node 110 may include communication unit 244 and may communicate with network controller 130 via communication unit 244. Network node 110 may include scheduler 246 for scheduling one or more UEs 120 for downlink and / or uplink communication. In some examples, modem 232 of network node 110 may include modulator and demodulator. In some examples, network node 110 includes 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 this document (e.g., reference). Figures 4 to 11 ( ) any aspect of the methods described in the method.

[0060] The controller / processor 240 of network node 110, the controller / processor 280 of UE 120 and / orFigure 2 Any other component may perform one or more techniques associated with digital post-distortion, as described in more detail elsewhere herein. For example, the controller / processor 240 of network node 110, the controller / processor 280 of UE 120, and / or Figure 2 Any other component that can execute or direct, for example Figure 8 The process 800 Figure 9 The operation of process 900 and / or other processes as described herein. Memory 242 and memory 282 may store data and program code for network node 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 may, when executed by one or more processors of network node 110 and / or UE 120 (e.g., directly, or after compilation, transformation, and / or interpretation), cause the one or more processors, UE 120, and / or network node 110 to perform or direct, for example... Figure 8 The process 800 Figure 9 The operation of process 900 and / or other processes as described herein. In some examples, the execution instructions may include run instructions, transform instructions, compile instructions and / or interpret instructions, etc.

[0061] In some aspects, the UE includes components for receiving a configuration for receiving or calculating interference parameters at least in part based on one or more estimated PDPs, one or more pre-decoding rules, and one or more kernels, the one or more estimated PDPs being associated with one or more communication channels; and / or components for receiving a configuration for applying the interference parameters to a transmission with power close to the compression point of a power amplifier to reduce transmission nonlinearity. Components for the UE to perform the operations described herein may include, for example, one or more of the following: a communication manager 140, an antenna 252, a modem 254, a MIMO detector 256, a receive processor 258, a transmit processor 264, a TX MIMO processor 266, a controller / processor 280, or a memory 282.

[0062] In some aspects, the network node includes components for transmitting or configuring the UE to calculate interference parameters at least in part based on one or more estimated PDPs, one or more pre-decoding rules, and one or more kernels, the one or more estimated PDPs being associated with one or more communication channels; and / or components for configuring the UE to apply the interference parameters to transmissions with power close to the compression point of the power amplifier to reduce transmission nonlinearity. Components for the network node to perform the operations described herein may include, for example, one or more of the following: a communication manager 150, a transmit processor 220, a TX MIMO processor 230, a modem 232, an antenna 234, a MIMO detector 236, a receive processor 238, a controller / processor 240, a memory 242, or a scheduler 246.

[0063] In some respects, a single processor can perform all the functions described as being performed by that one or more processors. In other respects, the one or more processors can jointly perform a set of functions. For example, a first group(s) of the one or more processors can perform a first function described as being performed by that one or more processors, and a second group(s) of the one or more processors can perform a second function described as being performed by that one or more processors. The first group and the second group of processors can be the same group of processors or can be different groups of processors. The reference to "one or more processors" should be understood as referring to a combination of functions. Figure 2 Any one or more processors described. The reference to "one or more memories" should be understood to refer to any one or more memories of the corresponding device, such as those in conjunction with... Figure 2 The memory described. For example, a function described as being performed by one or more memories can be performed by the same subset of the one or more memories or by different subsets of the one or more memories.

[0064] Although Figure 2 The boxes in the diagram are illustrated as different components, but the functions described above with respect to these boxes may be implemented in a single hardware, software, or combined component, or in various combinations of components. For example, the functions described with respect to transmit processor 264, receive processor 258, and / or TX MIMO processor 266 may be performed by or under the control of controller / processor 280.

[0065] As indicated above, Figure 2 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 2 The examples described are different.

[0066] The deployment of communication systems such as 5G NR systems can be arranged in a variety of ways using various components or parts. In a 5G NR system or network, network nodes, network entities, network mobility elements, RAN nodes, core network nodes, network elements, base stations, or network equipment can be implemented in either a converged or decomposed architecture. For example, a base station (such as a Node B (NB), evolved NB (eNB), NR base station, 5G NB, access point (AP), TRP, or cell, etc.) or one or more units (or components) performing base station functionality can be implemented as a converged base station (also known as a standalone base station or monolithic base station) or a decomposed base station. A "network entity" or "network node" can refer to a decomposed base station or one or more units of a decomposed base station (such as one or more CUs, one or more DUs, one or more RUs, or combinations thereof).

[0067] Aggregated base stations (e.g., aggregated network nodes) can be configured to utilize a radio protocol stack that is physically or logically integrated within a single RAN node (e.g., within a single device or cell). Decomposed base stations (e.g., decomposed network nodes) can be configured to utilize a protocol stack that is physically or logically distributed across two or more cells (such as one or more CUs, one or more DUs, or one or more RUs). In some examples, the CU may be implemented within a network node, and one or more DUs may be co-located with the CU, or alternatively, may be geographically or virtually distributed across one or more other network nodes. DUs may be implemented to communicate with one or more RUs. Each of the CU, DU, and RU can also be implemented as a virtual cell, such as a Virtual Central Unit (VCU), a Virtual Distributed Unit (VDU), or a Virtual Radio Unit (VRU), etc.

[0068] Base station type operation or network design can take into account the aggregation characteristics of base station functionality. For example, decomposed base stations can be utilized in IAB networks, Open Radio Access Networks (O-RAN (such as network configurations initiated by the O-RAN Alliance)), or Virtualized Radio Access Networks (vRAN, also known as Cloud Radio Access Networks (C-RAN)) to facilitate the scaling of communication systems by separating base station functionality into one or more units that can be deployed independently. Decomposed base stations can include functionality implemented across two or more units at various physical locations, as well as functionality virtually implemented for at least one unit, which enables flexibility in network design. Each unit of a decomposed base station can be configured for wired or wireless communication with at least one other unit of the decomposed base station.

[0069] Figure 3This is an illustration of an example disaggregated base station architecture 300 according to this disclosure. The disaggregated base station architecture 300 may include a CU 310, which may communicate directly with the core network 320 via a backhaul link, or indirectly with the core network 320 via one or more disaggregated control units (such as near-RT RIC 325 via an E2 link, or a non-RT RIC 315 associated with a Service Management and Orchestration (SMO) framework 305, or both). The CU 310 may communicate with one or more DUs 330 via a corresponding midhaul link (such as via an F1 interface). Each DU 330 may communicate with one or more RUs 340 via a corresponding fronthaul link. Each RU 340 may communicate with one or more UEs 120 via a corresponding radio frequency (RF) access link. In some implementations, a UE 120 may be served simultaneously by multiple RUs 340.

[0070] Each of these units (including CU 310, DU 330, RU 340) and the near-RT RIC 325, non-RT RIC 315, and SMO frame 305 may include or be coupled to one or more interfaces configured to receive or transmit signals, data, or information (collectively, signals) via wired or wireless transmission media. Each of these units, or an associated processor or controller providing instructions to one or more communication interfaces of the respective unit, may be configured to communicate with one or more other units via transmission media. In some examples, each of these units may include a wired interface and a wireless interface configured to receive signals via a wired transmission media or transmit signals to one or more other units, and the wireless interface may include a receiver, transmitter, or transceiver (such as an RF transceiver) configured to receive signals via a wireless transmission media or transmit signals to one or more other units, or both.

[0071] In some aspects, the CU 310 can host one or more higher-level control functions. Such control functions may include Radio Resource Control (RRC) functions, Packet Data Convergence Protocol (PDCP) functions, or Service Data Adaptation Protocol (SDAP) functions, etc. Each control function can be implemented using an interface configured to signal to other control functions hosted by the CU 310. The CU 310 can be configured to handle user plane functions (e.g., Central Unit-User Plane (CU-UP) functions), control plane functions (e.g., Central Unit-Control Plane (CU-CP) functions), or combinations thereof. In some implementations, the CU 310 may be logically split into one or more CU-UP units and one or more CU-CP units. When implemented in an O-RAN configuration, the CU-UP units can communicate bidirectionally with the CU-CP units via an interface such as an E1 interface. The CU 310 may be implemented to communicate with the DU 330 for network control and signaling purposes, as needed.

[0072] Each DU 330 may correspond to a logical unit comprising one or more base station functions for controlling the operation of one or more RU 340s. In some aspects, the DU 330 may host one or more of the Radio Link Control (RLC) layer, Medium Access Control (MAC) layer, and one or more high physical (PHY) layers, at least in part, according to functional splits (such as those defined by 3GPP). In some aspects, the one or more high PHY layers may be implemented by one or more modules for forward error correction (FEC) encoding and decoding, scrambling, and modulation and demodulation, etc. In some aspects, the DU 330 may also host one or more low PHY layers, such as those implemented by one or more modules for Fast Fourier Transform (FFT), Inverse FFT (iFFT), Digital Beamforming, or Physical Random Access Channel (PRACH) extraction and filtering, etc. Each layer (which may also be referred to as a module) may be implemented using an interface configured to communicate signals with other layers (and modules) hosted by the DU 330 or with control functions hosted by the CU 310.

[0073] Each RU 340 can implement lower-layer functionality. In some deployments, the RU 340 controlled by the DU 330 can correspond to a logical node that hosts RF processing functions or low-PHY layer functions, such as performing FFT, performing iFFT, digital beamforming, or PRACH extraction and filtering, based on function splitting (e.g., function splitting defined by 3GPP) (such as lower-layer function splitting). In this architecture, each RU 340 can be operated to handle over-the-air (OTA) communications with one or more UE 120s. In some specific implementations, the real-time and non-real-time aspects of control plane and user plane communications with the RU 340 can be controlled by the corresponding DU 330. In some scenarios, this configuration allows each DU 330 and CU 310 to be implemented in a cloud-based RAN architecture, such as a vRAN architecture.

[0074] The SMO framework 305 can be configured to support RAN deployment and provisioning of both non-virtualized and virtualized network elements. For non-virtualized network elements, the SMO framework 305 can be configured to support the deployment of dedicated physical resources for RAN coverage requirements, which can be managed via operation and maintenance interfaces such as the O1 interface. For virtualized network elements, the SMO framework 305 can be configured to interact with cloud computing platforms such as the Open Cloud (O-Cloud) platform 390 to perform network element lifecycle management (such as instantiating virtualized network elements) via cloud computing platform interfaces such as the O2 interface. Such virtualized network elements may include, but are not limited to, CU 310, DU 330, RU 340, non-RT RIC 315, and near-RTTRIC 325. In some specific implementations, the SMO framework 305 may communicate with the hardware aspects of the 4G RAN, such as the Open eNB (O-eNB) 311, via the O1 interface. Additionally, in some implementations, the SMO framework 305 can communicate directly with each of one or more RUs 340 via a corresponding O1 interface. The SMO framework 305 may also include a non-RT RIC 315 configured to support the functionality of the SMO framework 305.

[0075] The non-RT RIC 315 can be configured to include logical functions that enable non-real-time control and optimization of RAN elements and resources, including artificial intelligence / machine learning (AI / ML) workflows for model training and updates, or policy-based guidance for applications / features in the near-RT RIC 325. The non-RT RIC 315 can be coupled to or communicate with the near-RT RIC 325, such as via an A1 interface. The near-RT RIC 325 can be configured to include logical functions that enable near real-time control and optimization of RAN elements and resources via an interface, such as an E2 interface, through data collection and actions, connecting one or more CU 310s, one or more DU 330s, or both, and O-eNBs to the near-RT RIC 325.

[0076] In some implementations, to generate AI / ML models to be deployed in the near-RT RIC 325, the non-RT RIC 315 may receive parameters or external enrichment information from an external server. This information can be utilized by the near-RT RIC 325 and can be received from non-network data sources or network functions at the SMO framework 305 or the non-RT RIC 315. In some examples, the non-RT RIC 315 or near-RT RIC 325 may be configured to tune RAN behavior or performance. For example, the non-RT RIC 315 may monitor long-term trends and patterns in performance and employ AI / ML models to perform corrective actions via the SMO framework 305 (such as reconfiguration via the O1 interface) or via the creation of RAN management policies (such as A1 interface policies).

[0077] As indicated above, Figure 3 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 3 The examples described are different.

[0078] Figure 4 This is an example diagram 400 illustrating components for preprocessing and postprocessing signals according to this disclosure. (See diagram for example...) Figure 4 As shown, transmitter 405 can communicate with receiver 410. Transmitter 405 and receiver 410 can be any wireless communication device in the wireless communication devices described herein (e.g., UE 120, network node 110, CU 310, DU 330, RU 340, etc.), or can be located at any wireless communication device in the wireless communication devices described herein.

[0079] As shown, transmitter 405 can communicate with receiver 410, and more specifically, transmitter 405 can transmit signal 415 to receiver 410. Signal 415 can be preprocessed by transmitter 405 to compress the peak-to-average power ratio (PAPR) associated with the signal in order to reduce the power back-off value, etc., associated with sending signal 415 to receiver 410.

[0080] More specifically, in some communication systems, transmitter 405 may include nonlinear components, such as a PA 420 with a limited dynamic range, which may distort the transmitted signal due to its relatively high PAPR. Nonlinear distortion can be in-band distortion, affecting link performance related to mutual information and / or error vector magnitude (EVM), or out-of-band distortion, causing adjacent channel interference (ACI) and / or resulting in a high adjacent channel leakage ratio (ACLR) (e.g., the transmitted signal interferes with other signals in adjacent frequency bands, where ACI and / or ACLR indicate the degree to which adjacent channels are contaminated by the main transmitter). To avoid nonlinear distortion and the accompanying interference, transmitter 405 may apply a power backoff value to reduce the transmitted power, thereby reducing nonlinearity.

[0081] However, applying a power backoff value can lead to reduced power efficiency (e.g., transmitting with less available transmit power in the channel, thus reducing range and / or lowering the signal-to-interference-plus-noise ratio (SINR)). In other words, the transmitter 405 transmits less power to the channel, and more power is dissipated as heat, resulting in reduced power efficiency. Therefore, the transmitter 405 can use one or more preprocessing techniques to reduce the power backoff value (e.g., transmitting near the PA compression point). For example, the transmitter can utilize crest factor reduction (CFR) processing and / or digital predistortion (DPD) processing to reduce distortion. CFR processing reduces the dynamic range of the signal, while DPD processing reduces nonlinear distortion to below a threshold level by lowering the power backoff level, thereby improving power efficiency compared to using power backoff alone to avoid nonlinear distortion. Figure 4 As shown, transmitter 405 may therefore include CFR component 425 for performing CFR processing on signal 415 (e.g., to reduce PAPR in signal 415 as much as possible, thereby reducing the power back-off value), and / or transmitter 405 may include DPD component 430 for performing DPD processing on signal 415 (e.g., to linearize the response of the power amplifier).

[0082] However, CFR processing consumes additional resources (e.g., bandwidth, power, computational resources, etc.), and in some cases, it may introduce in-band distortion (e.g., EVM distortion) and / or out-of-band distortion (e.g., ACI distortion). Furthermore, although DPD processing can correct for nonlinear effects within the dynamic range, nonlinearity can still cause clipping effects (e.g., due to finite dynamic range). Therefore, the effectiveness and / or power efficiency benefits of CFR and DPD processing are limited.

[0083] To address the limitations of CFR and / or DPD processing, receiver 410 may apply DPoD processing to signal 415. DPoD is a technique that allows transmitter 405 to transmit near the PA compression point by reconstructing the nonlinearity of transmitter 405 on the receiver 410 side and iteratively subtracting the transmitter's nonlinearity from the received signal. In this respect, DPoD processing may be similar to DPD processing, but performed in receiver 410 instead of transmitter 405, and may be for processing only for EVM rather than for both EVM and ACI. More specifically, DPoD processing may be performed by DPoD component 435 at receiver 410, which may include hardware and / or software configured to implement an algorithm configured to remove nonlinear noise generated by a known model. Therefore, DPoD processing can reduce power backoff values ​​and improve power efficiency (e.g., measured in bits per joule) by enabling transmitter 405 to transmit at higher power, thereby increasing SINR and / or capacity. Various aspects of examples of DPoD processing techniques are described below. Figure 5 To describe in more detail.

[0084] As indicated above, Figure 4 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 4 The examples described are different.

[0085] Figure 5 This is a diagram illustrating Example 500 of DPoD processing for multi-layer frequency-selective pre-decoding transmission associated with multiple transmit antennas.

[0086] In some examples, DPoD processing may require relatively complex signal processing techniques for nonlinear compensation at the receiver device (e.g., receiver 410), which in many cases may limit DPoD processing to relatively simple use cases. Examples include communications associated with a single-layer undecoded signal transmitted using a single transmit antenna; communications associated with a single-layer wideband pre-decoded signal transmitted using any one or more transmit antennas; and / or communications associated with the use of multiple MIMO layers (sometimes referred to as...). N 层Communication using a corresponding number of transmit antennas to transmit SU-MIMO signals without pre-decoding may be associated with a relatively low-complexity time-domain (TD) iterative DPoD scheme that can be employed at the receiver side. However, communication associated with multi-layer frequency-selective pre-decoding signals transmitted using multiple transmit antennas; and communication using... N 层 Communication associated with SU-MIMO broadband pre-decoded signals transmitted by each transmitting antenna; and / or communication with the use of N 层 Communication associated with SU-MIMO frequency-selective signals transmitted by multiple transmit antennas may be associated with more complex TD iterative DPoD schemes that require pre-decoding knowledge at the receiver side. Furthermore, communication associated with multi-layer frequency-selective pre-decoded signals transmitted using multiple transmit antennas; communication associated with SU-MIMO wideband pre-decoded signals transmitted using multiple transmit antennas; and / or communication associated with SU-MIMO frequency-selective signals transmitted using multiple transmit antennas may be associated with highly complex iterative DPoD schemes that require pre-decoding knowledge and data-aided channel estimation at the receiver side. For example, highly complex DPoD schemes may require knowledge of the raw, undecoded channel between each transmit antenna and each receive antenna, which is typically unavailable at the receiver side. Moreover, while data-aided channel estimation may be feasible, its high complexity and limited performance may restrict its applicability in certain use cases.

[0087] For example, Figure 5 Various components associated with performing highly complex DPoD processing on multi-layer frequency-selective pre-decoding communications (such as beamforming communications or similar beamforming communications) transmitted using multiple transmit antennas are illustrated. In such an example, the signal may pass through transmit path 502 and then through pre-decoder 504 for pre-decoding the signal. In this example, pre-decoder 504 may be configured to apply frequency-selective pre-decoding to the signal. The pre-decoded signal may then be transmitted via multiple transmit antennas (e.g., beamforming transmission). In this respect, the pre-decoded signal may be provided to multiple PAs 506 (shown as...). PA 0 to PA Tx-1 ,in" Tx (Corresponding to the number of transmitting antennas used) is used for power amplification. The amplified signal (e.g., the signal leaving the PA) can be transmitted via multiple channels 508 (e.g., each amplified signal can be transmitted via, as shown below). H 0 to H Tx-1(Transmitted via a corresponding channel among multiple channels). Multiple signals transmitted via multiple channels can be received by receiver 510 (e.g., receiver 410), which can receive a signal corresponding to the sum of multiple amplified signals transmitted via multiple channels. In other words, in some examples, receiver 510 can receive a beamforming signal generated by multiple transmit antennas via multiple channels ( H 0 to H Tx-1 The sum of signals sent.

[0088] To compensate for nonlinear distortion in the received signal, receiver 510 may perform DPoD processing on the received signal, such as to reconstruct the nonlinearity in the received signal and to subtract the nonlinearity from the received signal iteratively. For example, reference numeral 512 shows components associated with DPoD processing for multi-layer frequency-selective pre-decoding communication associated with multiple transmit antennas (e.g., DPoD processing for single-layer frequency-selective pre-decoding communication for beamforming). The received signal at each receive antenna (which may be the sum of multiple pre-decoded signals transmitted via multiple channels) may be passed through FFT 514 to convert the received signal from the time domain to a representation in the frequency domain. As shown by reference numeral 516, the nonlinearity reconstructed using the DPoD processing may be subtracted from the received signal iteratively, as will be described in more detail below. In this respect, in the first iteration of the DPoD processing (e.g., an iteration of the DPoD processing before which the nonlinearity was not reconstructed), the received signal may not be altered by the operation shown by reference numeral 516.

[0089] Next, the receiver 510 can perform minimum mean square error (MMSE) equalization processing 518 to remove the influence of the physical channel on the signal, thereby estimating the data signal transmitted by the transmitter. In this respect, MMSE equalization processing 518 is sometimes referred to as... H -1 DMRS The processing is used to remove channel effects (e.g., based at least in part on knowledge of the channel determined using one or more reference signals (e.g., one or more DMRS)). H -1 To best estimate the nonlinearity in the signal, receiver 510 can then replicate the signal at receiver 510. Figure 5 Transmitter-side operations (e.g., pre-decoding, power amplification, and channel transmission) are shown within the rounded box indicated by reference numeral 520 in the accompanying drawings.

[0090] In this regard, after MMSE equalization processing 518, receiver 510 can use pre-decoder 522 to pre-decode the signal in a manner similar to that described above for pre-decoder 504 in conjunction with the transmitter. Receiver 510 can then perform a series of processing steps for each transmit antenna, which, for some beamforming communications, can be a large number of antennas (e.g., in some aspects, the transmitter may use 64 or more transmit antennas). More specifically, for each branch (e.g., for each transmit antenna), receiver 510 can pass the pre-decoded signal through iFFT 524 to convert the pre-decoded signal from the frequency domain to a representation in the time domain. Furthermore, for each branch, receiver 510 can calculate the distortion caused by the corresponding PA associated with each transmit antenna (shown as...). d i For example, receiver 510 can transmit signals (such as...) Figure 5 middle" x (as shown) and antenna-specific pre-decoding (such as...) Figure 5 middle" p i The convolutional input (as shown) is passed through a nonlinear function of the PA associated with the transmitting antenna (e.g., ...). Figure 5 PA ( p i x (as shown in the figure), and can be subtracted based on specific factors (such as) Figure 5 middle αx (As shown) scaled input signal. In other words, the estimated distortion associated with the corresponding transmitting antenna can be calculated at receiver 510 as: d i =PA( p i x )– αx The estimated distortion may correspond to the value from the corresponding PA 506 (e.g., PA 0 to PA Tx-1 The distortion present in the signal output by one of the two channels (e.g., during transmission) exists due to the physical channel (e.g., H 0 to H Tx-1 Before any additional distortion and / or interference caused by one of them.

[0091] For each branch, receiver 510 can pass the calculated distortion through FFT 528 to convert the estimated distortion from a time-domain representation to a frequency-domain representation, and then compare the estimated distortion with the representation of channel 530 for a particular antenna (e.g., Figure 5 middle"H i As shown in the figure, receiver 510 can multiply the estimated distortion of each transmit antenna with the representation of channel 530 for a particular antenna (e.g., as indicated by reference numeral 532). d i × H i The summation yields an estimate of the overall nonlinear distortion of the signal received by receiver 510 at a specific receiving antenna. As indicated by reference numeral 516, the estimate of the overall nonlinear distortion can be subtracted from the received signal to compensate for nonlinearity at receiver 510. The DPoD processing steps can be repeated iteratively to more accurately eliminate nonlinearity from the received signal.

[0092] In this respect, the complexity of DPoD processing associated with certain communications (such as multi-layer frequency-selective pre-decoding communication using multiple transmit antennas) is very high because the number of DPoD processing steps is highly dependent on the number of transmit antennas used (sometimes referred to as...). N Tx This is proportional to the number of transmitting antennas, which can be very large (e.g., 64 antennas, 128 antennas, 256 antennas, etc.). For example, in the DPoD processing steps described above... k In each iteration, the number of executions associated with additional FFT steps (e.g., the operations described above in conjunction with FFT 528) can be... N Tx × k The number of executions associated with an iFFT step (e.g., the operation described above in conjunction with iFFT 524) can be... N Tx × k The number of executions, and / or the number of executions associated with PA modeling (e.g., the operation described above in conjunction with reference to figure 526), ​​can be... N Tx × k This process is repeated several times. Therefore, DPoD processing of certain communications can lead to high power consumption, computational resource consumption, and other resource consumption at the receiver.

[0093] In addition, some DPoD processes (such as those combined above) Figure 5 The described DPoD processing (which involves frequency-selective pre-decoding) may require the receiver to know the pre-decoder for each antenna used by the transmitter (e.g., p i This is typically transparent to the receiver. Therefore, some DPoD processing may require excessive auxiliary information signaling (e.g., indication of pre-decoding for each antenna used), resulting in high signaling overhead, which reduces bandwidth, increases latency, and leads to inefficient use of network resources.

[0094] In addition, some DPoD processes (such as those combined above) Figure 5 The described DPoD processing may require raw channel estimation for each antenna (e.g., channel estimation before pre-decoding), such as channel (e.g., H i The original channel estimate may not be readily available at the receiver. Therefore, some DPoD processes may require data-aided methods to derive channel estimates for each antenna, which can be relatively complex, resulting in additional power, computational, and other resource consumption at the receiver. In some examples, estimating the channel for each antenna at the receiver may be practically forbidden, making DPoD processing unusable for certain types of communications (e.g., certain beamforming communications, such as single-layer frequency-selective pre-decoding communications or similar communications associated with multiple transmit antennas).

[0095] As indicated above, Figure 5 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 5 The examples described are different.

[0096] Figure 6 This is an illustration of Example 600 associated with a DPoD for multi-layer, multi-antenna, frequency-selective pre-decoding according to the present disclosure. Example 600 includes communication between a transmitter (e.g., transmitter 405 and / or network node 110) and a receiver (e.g., receiver 410, receiver 510, and / or UE 120). In some aspects, the transmitter and receiver may be included in a wireless network (such as wireless network 100). The transmitter and receiver may communicate via a radio access link, which may include an uplink and a downlink.

[0097] The DPoD method shown in Example 600 can be used to determine the ergodic average of disturbances that can be removed during the DPoD process, rather than as described above. Figure 5 The nonlinearity is estimated as discussed. The ergonomic average can be based at least in part on one or more power delay distributions of the communication channel, one or more pre-decoding rules, one or more kernel types, and / or combinations thereof. For example, as shown by reference numeral 605, network node 110 or UE 120 can generate a random channel based at least in part on one or more PDPs. As shown by reference numeral 610, network node 110 or UE 120 can generate random data. Regarding reference numeral 615, network node 110 or UE 120 can use random data and kernel type to create… n The kernel, for example, the first kernel. n One kernel is defined as K(n) = |x(t + n)| 2x(t) Other kernels can be applied to more complex channel models and / or interference terms. As shown by reference numeral 620, network node 110 or UE 120 can apply pre-decoding techniques to the generated random channel according to one or more pre-decoding rules. As shown by reference numeral 625, interference can be calculated for a single layer, at least in part, based on the pre-decoding output and the generated random data. I(x) As shown by reference numeral 630 in the attached figure, network node 110 or UE 120 can interfere with the interference calculated with respect to reference numeral 625. I(x) The kernel coefficients are calculated using the least squares method applied to the kernel generated with reference to figure 630. The output of the least squares method can be referred to as the nonlinear disturbance parameter. B(n) , representing the calculated average interface, and can be output to model 635. Nonlinear disturbance parameters. B(n) When used in conjunction with the signal on transmission path 502, it can be used to calculate and remove average interference, as indicated with respect to reference numeral 640. The signal on transmission path 502 can be further applied to the pre-decoding channel of the reference signal. H DMRS As shown in the attached figure, reference numeral 645. The sum of the output of the average interference and the output of the pre-decoded channel can be provided to the receiver 510.

[0098] Therefore, Model 635 can treat the combined nonlinear disturbance effect from each PA as an average nonlinear disturbance ( I (x) The signal received at receiver 510 can be modeled as the signal leaving transmission path 502, combined with the pre-decoded channel (e.g., H DMRS Convolution is performed on the ) and with the average disturbance (e.g., I(x) The average interference is effectively removed from the input signal by adding the two signals together.

[0099] As indicated above, Figure 6 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 6 The examples described are different.

[0100] Figure 7 This is a diagram illustrating an example 700 associated with a DPoD technique for reducing interference according to this disclosure. (See diagram for example...) Figure 7 As shown, network node 110 and UE 120 can communicate with each other.

[0101] As shown by reference numeral 705 in the attached figure, network node 110 can send a configuration for receiving or calculating interference parameters, and UE 120 can receive this configuration. These interference parameters can be the nonlinear interference parameters discussed above. B(n)The interference parameters may be based at least in part on one or more estimated PDPs, one or more pre-decoding rules, and one or more kernels. Each of the one or more estimated PDPs may be associated with one or more communication channels. In some aspects, the configuration for receiving or calculating the interference parameters may include configurations for: randomly generating one or more communication channels at least in part based on the estimated PDPs, generating one or more pre-decoding channels, generating random data, calculating single-layer interference, determining one or more kernels at least in part based on the random data and one or more kernel types, or performing least squares operations.

[0102] As shown by reference numeral 710 in the accompanying drawings, network node 110 and / or UE 120 estimate one or more PDPs. In some aspects, the PDP may be estimated at least in part based on one or more Channel State Information Reference Signal (CSI-RS) measurements. For example, network node 110 may transmit one or more CSI-RSs, UE 120 may perform CSI-RS measurements on the received CSI-RSs, and UE 120 may send one or more CSI-RS reports to network node 110, which may be based on CSI-RS measurements. Using CSI-RS measurements and / or CSI-RS reports, network node 110 may estimate one or more PDPs. In some aspects, the one or more CSI-RS reports may indicate an average CSI-RS measurement associated with one or more transmit antennas.

[0103] Alternatively or otherwise, the PDP may be estimated at least in part based on one or more Sounding Reference Signals (SRS) communications. When based on SRS, UE 120 may transmit the SRS, and network node 110 may receive the SRS. Network node 110 may transmit one or more estimated PDPs in response to the SRS. In some aspects, UE 120 may receive resource allocations for the SRS, and these resource allocations may be available for periodic, semi-persistent, or aperiodic SRS.

[0104] In some aspects, UE 120 may receive one or more estimated PDPs. In the aspect where multiple estimated PDPs are received, a PDP weight may be assigned to each estimated PDP by, for example, network node 110. The PDP weight may be based at least in part on the number of applicable antennas (i.e., the number or percentage of antennas to which the PDP is applicable). In some aspects, the estimated PDP of a first group of antennas may receive a higher PDP weight than the estimated PDP of a second group of antennas, which has, for example, a lower number or percentage of antennas than the first group.

[0105] As shown by reference numeral 715 in the attached figure, network node 110 and / or UE 120 may determine the pre-decoding to be applied to the DPoD procedure. In some aspects, network node 110 may send one or more pre-decoding rules, and UE 120 may receive one or more pre-decoding rules. In some aspects, one or more pre-decoding rules are received via RRC messages. The pre-decoding rules may be sent by network node 110 as pseudocode in a predefined language. For example, the pre-decoding rules may be provided to UE 120 in the form of an ordered list of mathematical operations performed on the vector of the estimated channel. In some aspects, the pre-decoding may not be an actual computation performed by network node 110, as long as the calculated interference... I(x) The desired interference must be accurately represented. Resource granting for RRC messages with pre-decoding rules can be periodic or aperiodic. In some aspects, receiving one or more pre-decoding rules includes receiving multiple pre-decoding rules via RRC message reception and reception, and receiving a selection of one of the multiple pre-decoding rules via MAC Control Element (MAC-CE) message reception or Downlink Control Information (DCI) message reception. This selection can be made by network node 110 and communicated to UE 120.

[0106] As shown by reference numeral 720 in the attached figure, network node 110 and / or UE 120 may determine one or more kernels. For example, network node 110 may signal one or more kernel types to UE 120. Using the kernel types, UE 120 may be configured to determine the kernel to be used during the DPoD process.

[0107] As shown by reference numeral 725 in the attached figure, network node 110 and / or UE 120 can calculate interference parameters. B(n) As mentioned above... Figure 5 The interference parameters are calculated as discussed in Example 500. For example, UE 120 or network node 110 can calculate the interference parameters by the following operations. B(n) The process involves: randomly generating one or more communication channels based at least in part on the estimated PDP; generating one or more pre-decoded channels using pre-decoding rules; generating random data; calculating single-layer and / or multi-layer interference (which may include average interference for each layer); determining one or more kernels based at least in part on the random data and one or more kernel types; and performing least squares operations.

[0108] As shown by reference numeral 730 in the attached figure, network node 110 can send and UE 120 can receive interference parameters. B(n) Configuration applied to transmission. For example, this configuration can configure UE 120 to transmit interference parameters. B(n) It is applied to transmissions with power close to the compression point of the power amplifier to reduce transmission nonlinearity.

[0109] As shown by reference numeral 735 in the attached figure, UE 120 can apply the above-mentioned... Figure 5 Interference parameters discussed in Example 500 B (n) .

[0110] By applying interference parameters B(n) UE 120 can perform DPoD technology in more complex situations such as multi-layer, multi-antenna, frequency-selective pre-decoding.

[0111] As indicated above, Figure 7 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 7 The examples described are different.

[0112] Figure 8 This is a diagram illustrating an example procedure 800 performed by a UE according to this disclosure. Example procedure 800 is an example of a UE (e.g., UE 120) performing operations associated with a robust, low-complexity DPoD technology.

[0113] like Figure 8 As shown, in some aspects, process 800 may include receiving configuration for receiving or calculating interference parameters at least in part based on one or more estimated PDPs, one or more pre-decoding rules, and one or more kernels, the one or more estimated PDPs being associated with one or more communication channels (box 810). For example, a UE (e.g., using...) Figure 10 The receiving component 1002 and / or communication manager 1006 depicted herein may receive configurations for receiving or calculating interference parameters at least in part based on one or more estimated PDPs, one or more pre-decoding rules, and one or more kernels, the one or more estimated PDPs being associated with one or more communication channels as described above.

[0114] like Figure 8 Further shown, in some aspects, process 800 may include receiving a configuration for applying the interference parameter to a transmission with power close to the compression point of the power amplifier to reduce transmission nonlinearity (block 820). For example, the UE (e.g., using...) Figure 10 The receiving component 1002 and / or communication manager 1006 depicted above can receive a configuration for applying the interference parameter to a transmission with power close to the compression point of the power amplifier to reduce transmission nonlinearity.

[0115] Process 800 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 in this document.

[0116] In a first aspect, process 800 includes sending one or more CSI-RS measurements, wherein the interference parameter is at least partially based on the one or more CSI-RS measurements.

[0117] In a second aspect, either alone or in combination with the first aspect, process 800 includes sending one or more PDP reports based at least in part on the one or more CSI-RS measurements.

[0118] In a third aspect, either alone or in combination with one or more of the first and second aspects, the one or more PDP reports are based at least in part on the average value of the one or more CSI-RS measurements associated with one or more transmit antennas.

[0119] In the fourth aspect, either alone or in combination with one or more of the first to third aspects, process 800 includes sending SRS.

[0120] In the fifth aspect, either alone or in combination with one or more of the first to fourth aspects, process 800 includes receiving the one or more estimated PDPs according to the SRS.

[0121] In the sixth aspect, alone or in combination with one or more of the first to fifth aspects, process 800 includes receiving a resource allocation for the SRS, wherein the resource allocation is for a periodic, semi-persistent, or non-periodic SRS.

[0122] In the seventh aspect, either alone or in combination with one or more of the first to sixth aspects, process 800 includes receiving the one or more estimated PDPs, wherein each of the one or more estimated PDPs is associated with a PDP weight, the PDP weight being at least partially based on the number of antennas in a set of applicable antennas.

[0123] In the eighth aspect, either alone or in combination with one or more of the first to seventh aspects, process 800 includes receiving the one or more pre-decoding rules.

[0124] In the ninth aspect, either alone or in combination with one or more of the first to eighth aspects, the one or more pre-decoding rules are received via radio resource control messages.

[0125] In the tenth aspect, receiving the one or more pre-decoding rules, either alone or in combination with one or more of the first to ninth aspects, includes: receiving multiple pre-decoding rules via radio resource control message reception, and receiving a selection of one of the multiple pre-decoding rules via MAC-CE message reception or DCI message reception.

[0126] In the eleventh aspect, alone or in combination with one or more of the first to tenth aspects, process 800 includes receiving one or more kernel types.

[0127] In the twelfth aspect, alone or in combination with one or more of the first to eleventh aspects, the configuration for receiving or calculating the interference parameter includes configuration for: randomly generating the one or more communication channels at least in part based on the estimated PDP, generating one or more pre-decoded channels, generating random data, calculating single-layer interference, determining one or more kernels at least in part based on the random data and one or more kernel types, or performing a least-squares operation.

[0128] although Figure 8 An example box of process 800 is shown, but in some respects, process 800 may include... Figure 8 The boxes depicted in the diagram may be fewer, different, or arranged differently than additional boxes. Alternatively, two or more boxes in the process 800 may be executed in parallel.

[0129] Figure 9 This is a diagram illustrating an example process 900 performed by a network node, for example, according to this disclosure. Example process 900 is an example of a network node (e.g., network node 110) performing operations associated with robust, low-complexity DPoD technology.

[0130] like Figure 9 As shown, in some aspects, process 900 may include sending or configuring the UE to calculate interference parameters based at least in part on one or more estimated PDPs, one or more pre-decoding rules, and one or more kernels, wherein the one or more estimated PDPs are associated with one or more communication channels (box 910). For example, a network node (e.g., using...) Figure 11 The transmitting component 1104 and / or the communication manager 1106 depicted herein may transmit or configure the UE to calculate interference parameters based at least in part on one or more estimated PDPs, one or more pre-decoding rules, and one or more kernels, the one or more estimated PDPs being associated with one or more communication channels as described above.

[0131] like Figure 9 Further, as shown, in some aspects, process 900 may include configuring the UE to apply the interference parameter to transmissions with power close to the compression point of the power amplifier to reduce transmission nonlinearity (box 920). For example, a network node (e.g., using...) Figure 11 The communication manager 1106 described above can configure the UE to apply the interference parameters to the transmission at a compression point close to the power amplifier to reduce transmission nonlinearity.

[0132] Process 900 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 in this document.

[0133] In a first aspect, process 900 includes receiving one or more CSI-RS measurements, wherein the interference parameter is at least partially based on the one or more CSI-RS measurements.

[0134] In a second aspect, either alone or in combination with the first aspect, process 900 includes receiving one or more PDP reports based at least in part on the one or more CSI-RS measurements.

[0135] In a third aspect, either alone or in combination with one or more of the first and second aspects, the one or more PDP reports are based at least in part on the average value of the one or more CSI-RS measurements associated with one or more transmit antennas.

[0136] In the fourth aspect, either alone or in combination with one or more of the first to third aspects, process 900 includes receiving SRS.

[0137] In the fifth aspect, either alone or in combination with one or more of the first to fourth aspects, process 900 includes sending the one or more estimated PDPs according to the SRS.

[0138] In the sixth aspect, alone or in combination with one or more of the first to fifth aspects, process 900 includes sending a resource allocation for the SRS, wherein the resource allocation is for a periodic, semi-persistent, or non-periodic SRS.

[0139] In the seventh aspect, either alone or in combination with one or more of the first to sixth aspects, process 900 includes transmitting the one or more estimated PDPs, wherein each of the one or more estimated PDPs is associated with a PDP weight, which is based at least in part on the number of antennas in a set of applicable antennas.

[0140] In the eighth aspect, either alone or in combination with one or more of the first to seventh aspects, process 900 includes sending the one or more pre-decoding rules.

[0141] In the ninth aspect, either alone or in combination with one or more of the first to eighth aspects, the one or more pre-decoding rules are transmitted via radio resource control messages.

[0142] In the tenth aspect, transmitting the one or more pre-decoding rules, either alone or in combination with one or more of the first to ninth aspects, includes: transmitting multiple pre-decoding rules via radio resource control message reception, and transmitting a selection of one of the multiple pre-decoding rules via MAC-CE message reception or DCI message reception.

[0143] In the eleventh aspect, alone or in combination with one or more of the first to tenth aspects, process 900 includes sending one or more kernel types.

[0144] In the twelfth aspect, alone or in combination with one or more of the first to eleventh aspects, process 900 includes sending a configuration for calculating the interference parameter based at least in part on signaling associated with the interference parameter.

[0145] In the thirteenth aspect, alone or in combination with one or more of the first to twelfth aspects, the configuration for calculating the interference parameter includes a configuration for: randomly generating the one or more communication channels at least in part based on the estimated PDP, generating one or more pre-decoded channels, generating random data, calculating single-layer interference, determining one or more kernels at least in part based on the random data and one or more kernel types, or performing a least-squares operation.

[0146] In the fourteenth aspect, alone or in combination with one or more of the first to thirteenth aspects, process 900 includes generating the one or more communication channels based at least in part on the one or more estimated PDPs, applying the one or more pre-decoding rules to the one or more communication channels to create one or more pre-decoding channels, generating random data, calculating a single-layer interference based at least in part on the random data and the one or more pre-decoding channels, determining the one or more kernels based at least in part on the random data and one or more kernel types, and calculating the interference parameters by applying a least-squares operation to the single-layer interference and the kernel.

[0147] although Figure 9 An example box of process 900 is shown, but in some respects, process 900 may include... Figure 9 The boxes depicted in the diagram may be fewer, different, or arranged differently than additional boxes. Alternatively, two or more boxes in the process 900 may be executed in parallel.

[0148] Figure 10This is a diagram of an example device 1000 for wireless communication according to the present disclosure. Device 1000 may be a UE, or a UE may include device 1000. In some aspects, device 1000 includes a receiving component 1002, a transmitting component 1004, and / or a communication manager 1006 that can communicate with each other (e.g., via one or more buses and / or one or more other components). In some aspects, communication manager 1006 is combined with... Figure 1 The described communication manager 140. As shown, device 1000 can communicate with another device 1008 (such as a UE or a network node (such as a CU, DU, RU or base station)) using receiving component 1002 and transmitting component 1004.

[0149] In some respects, device 1000 can be configured to perform the functions described herein. Figures 4 to 7 One or more operations described herein. Additionally or alternatively, the apparatus 1000 may be configured to perform one or more processes described herein, such as Figure 8 The process is 800. In some respects, Figure 10 The illustrated device 1000 and / or one or more components may include a combination Figure 2 One or more components of the described UE. Additionally or alternatively, Figure 10 One or more components shown can be combined Figure 2 Implementation within one or more of the described components. Additionally or alternatively, one or more of the components in a set of components may be implemented at least partially as software stored in 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 executable by a controller or processor to perform the function or operation of the component.

[0150] Receiver 1002 may receive communications from device 1008, such as reference signals, control information, data communications, or combinations thereof. Receiver 1002 may provide the received communications to one or more other components of device 1000. In some aspects, receiver 1002 may perform signal processing on the received communications (such as filtering, amplification, demodulation, analog-to-digital conversion, demultiplexing, deinterleaving, demapping, equalization, interference cancellation, or decoding, etc.) and may provide the processed signals to one or more other components of device 1000. In some aspects, receiver 1002 may include combinations of... Figure 2 The described UE includes one or more antennas, modems, demodulators, MIMO detectors, receiver processors, controllers / processors, memory, or combinations thereof.

[0151] Transmitting component 1004 may transmit communications, such as reference signals, control information, data communications, or combinations thereof, to device 1008. In some aspects, one or more other components of device 1000 may generate communications and provide the generated communications to transmitting component 1004 for transmission to device 1008. In some aspects, transmitting component 1004 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 1008. In some aspects, transmitting component 1004 may include combinations of... Figure 2 The described UE includes one or more antennas, modems, modulators, transmit MIMO processors, transmit processors, controllers / processors, memory, or combinations thereof. In some aspects, the transmit component 1004 may be co-located with the receive component 1002 in a transceiver.

[0152] The communication manager 1006 may support the operation of the receiving component 1002 and / or the transmitting component 1004. For example, the communication manager 1006 may receive information associated with configuring the reception of communications by the receiving component 1002 and / or the transmission of communications by the transmitting component 1004. Additionally or alternatively, the communication manager 1006 may generate control information and / or provide control information to the receiving component 1002 and / or the transmitting component 1004 to control the reception and / or transmission of communications.

[0153] The receiving component 1002 may receive a configuration for receiving or calculating interference parameters at least in part based on one or more estimated PDPs, one or more pre-decoding rules, and one or more cores, wherein the one or more estimated PDPs are associated with one or more communication channels. The receiving component 1002 may also receive a configuration for applying the interference parameters to transmissions with power close to the compression point of the power amplifier to reduce transmission nonlinearity.

[0154] Transmitting component 1004 can transmit one or more CSI-RS measurements, wherein the interference parameter is at least partially based on the one or more CSI-RS measurements. Transmitting component 1004 can transmit one or more PDP reports based at least partially on the one or more CSI-RS measurements. Transmitting component 1004 can transmit SRS.

[0155] Receiver 1002 may receive one or more estimated PDPs according to the SRS. Receiver 1002 may receive resource allocations for the SRS, wherein the resource allocations are for periodic, semi-permanent, or aperiodic SRS. Receiver 1002 may receive one or more estimated PDPs, wherein each of the one or more estimated PDPs is associated with a PDP weight, which is at least partially based on the number of antennas in a set of applicable antennas. Receiver 1002 may receive one or more pre-decoding rules. Receiver 1002 may receive one or more core types.

[0156] Figure 10 The number and arrangement of components shown are provided as an example. In reality, they can exist in... Figure 10 The components shown are compared to additional components, fewer components, different components, or components arranged in a different manner. Furthermore, Figure 10 The two or more components shown can be implemented within a single component, or Figure 10 The single component shown can be implemented as multiple distributed components. Additionally or alternatively, Figure 10 The set (one or more) components shown are executable and described as being composed of Figure 10 The other set of components shown performs one or more functions.

[0157] Figure 11 This is a diagram of an example device 1100 for wireless communication according to the present disclosure. Device 1100 may be a network node, or a network node may include device 1100. In some aspects, device 1100 includes a receiving component 1102, a transmitting component 1104, and / or a communication manager 1106 that can communicate with each other (e.g., via one or more buses and / or one or more other components). In some aspects, the communication manager 1106 is combined with... Figure 1 The described communication manager 150. As shown, device 1100 can communicate with another device 1108 (such as a UE or a network node (such as a CU, DU, RU or base station)) using receiving component 1102 and transmitting component 1104.

[0158] In some respects, device 1100 can be configured to perform the functions described herein. Figures 4 to 7 The described one or more operations. Additionally or alternatively, the apparatus 1100 may be configured to perform one or more processes described herein, such as Figure 9 The process is 900. In some respects, Figure 11 The illustrated device 1100 and / or one or more components may include a combination Figure 2 One or more components of the described network node. Additionally or alternatively, Figure 11 One or more components shown can be combinedFigure 2 Implementation within one or more of the described components. Additionally or alternatively, one or more of the components in a set of components may be implemented at least partially as software stored in 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 executable by a controller or processor to perform the function or operation of the component.

[0159] Receiver 1102 may receive communications from device 1108, such as reference signals, control information, data communications, or combinations thereof. Receiver 1102 may provide the received communications to one or more other components of device 1100. In some aspects, receiver 1102 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 device 1100. In some aspects, receiver 1102 may include combinations of... Figure 2 The described network node includes one or more antennas, modems, demodulators, MIMO detectors, receiver processors, controllers / processors, memory, or combinations thereof. In some aspects, receiver component 1102 and / or transmitter component 1104 may include or be included in a network interface. The network interface may be configured to acquire and / or output signals for device 1100 via one or more communication links, such as backhaul links, midhaul links, and / or fronthaul links.

[0160] Transmitting component 1104 may transmit communications, such as reference signals, control information, data communications, or combinations thereof, to device 1108. In some aspects, one or more other components of device 1100 may generate communications and provide the generated communications to transmitting component 1104 for transmission to device 1108. In some aspects, transmitting component 1104 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 1108. In some aspects, transmitting component 1104 may include combinations of... Figure 2 The described network node includes one or more antennas, modems, modulators, transmit MIMO processors, transmit processors, controllers / processors, memory, or combinations thereof. In some aspects, the transmit component 1104 may be co-located with the receive component 1102 in a transceiver.

[0161] The communication manager 1106 may support the operation of the receiving component 1102 and / or the transmitting component 1104. For example, the communication manager 1106 may receive information associated with configuring the reception of communications by the receiving component 1102 and / or the transmission of communications by the transmitting component 1104. Additionally or alternatively, the communication manager 1106 may generate control information and / or provide control information to the receiving component 1102 and / or the transmitting component 1104 to control the reception and / or transmission of communications.

[0162] Transmitting component 1104 can transmit or configure the UE to calculate interference parameters at least in part based on one or more estimated PDPs, one or more pre-decoding rules, and one or more kernels, wherein the one or more estimated PDPs are associated with one or more communication channels. Communication manager 1106 can configure the UE to apply these interference parameters to transmissions with power close to the compression point of the power amplifier to reduce transmission nonlinearity.

[0163] Receiver 1102 may receive one or more CSI-RS measurements, wherein the interference parameter is at least partially based on the one or more CSI-RS measurements. Receiver 1102 may receive one or more PDP reports at least partially based on the one or more CSI-RS measurements. Receiver 1102 may receive SRS.

[0164] Transmitting component 1104 may transmit the one or more estimated PDPs according to the SRS. Transmitting component 1104 may transmit resource allocation for the SRS, wherein the resource allocation is for periodic, semi-persistent, or aperiodic SRS. Transmitting component 1104 may transmit the one or more estimated PDPs, wherein each of the one or more estimated PDPs is associated with a PDP weight, the PDP weight being at least partially based on the number of antennas in a set of applicable antennas. Transmitting component 1104 may transmit the one or more pre-decoding rules. Transmitting component 1104 may transmit one or more kernel types. Transmitting component 1104 may transmit a configuration of the interference parameter calculated at least partially based on signaling associated with the interference parameter.

[0165] Communication Manager 1106 can randomly generate one or more communication channels based at least in part on the one or more estimated PDPs. Communication Manager 1106 can apply one or more pre-decoding rules to the one or more communication channels to create one or more pre-decoding channels. Communication Manager 1106 can generate random data. Communication Manager 1106 can calculate single-layer interference based at least in part on the random data and the one or more pre-decoding channels. Communication Manager 1106 can determine the one or more kernels based at least in part on the random data and one or more kernel types. Communication Manager 1106 can calculate the interference parameters by applying a least-squares operation to the single-layer interference and the kernel.

[0166] Figure 11 The number and arrangement of components shown are provided as an example. In reality, they can exist in... Figure 11 The components shown are compared to additional components, fewer components, different components, or components arranged in a different manner. Furthermore, Figure 11 The two or more components shown can be implemented within a single component, or Figure 11 The single component shown can be implemented as multiple distributed components. Additionally or alternatively, Figure 11 The set (one or more) components shown are executable and described as being composed of Figure 11 The other set of components shown performs one or more functions.

[0167] The following provides an overview of some aspects of this disclosure: Aspect 1: A wireless communication method performed by a UE, comprising: receiving a configuration for receiving or calculating interference parameters at least in part based on one or more estimated PDPs, one or more pre-decoding rules, and one or more kernels, said one or more estimated PDPs being associated with one or more communication channels; and receiving a configuration for applying the interference parameters to transmission with power close to the compression point of a power amplifier to reduce transmission nonlinearity.

[0168] Aspect 2: According to the method of aspect 1, the method further includes: sending one or more CSI-RS measurements, wherein the interference parameter is at least partially based on the one or more CSI-RS measurements.

[0169] Aspect 3: The method according to aspect 2 further includes: sending one or more PDP reports based at least in part on the one or more CSI-RS measurements.

[0170] Aspect 4: According to the method of aspect 3, wherein the one or more PDP reports are based at least in part on the average value of the one or more CSI-RS measurements associated with one or more transmit antennas.

[0171] Aspect 5: The method according to any one of aspects 1 to 4, the method further includes: sending SRS.

[0172] Aspect 6: The method according to aspect 5 further includes: receiving the one or more estimated PDPs according to the SRS.

[0173] Aspect 7: The method according to aspect 5, the method further comprising: receiving a resource allocation for the SRS, wherein the resource allocation is for a periodic, semi-persistent, or aperiodic SRS.

[0174] Aspect 8: The method according to any one of aspects 1 to 7, the method further comprising: receiving the one or more estimated PDPs, wherein each of the one or more estimated PDPs is associated with a PDP weight, the PDP weight being based at least in part on the number of antennas in a set of applicable antennas.

[0175] Aspect 9: The method according to any one of aspects 1 to 8, the method further comprising: receiving the one or more pre-decoding rules.

[0176] Aspect 10: The method of claim 9, wherein the one or more pre-decoding rules are received via radio resource control messages.

[0177] Aspect 11: The method according to aspect 9, wherein receiving the one or more pre-decoding rules includes: receiving a plurality of pre-decoding rules via radio resource control message transmission, and receiving a selection of one of the plurality of pre-decoding rules via MAC-CE message transmission or DCI message transmission.

[0178] Aspect 12: The method according to any one of aspects 1 to 11, the method further comprising: receiving one or more kernel types.

[0179] Aspect 13: The method according to any one of Aspects 1 to 12, wherein the configuration for receiving or calculating the interference parameters includes a configuration for: randomly generating the one or more communication channels at least in part based on the estimated PDP, generating one or more pre-decoded channels, generating random data, calculating single-layer interference, determining one or more kernels at least in part based on the random data and one or more kernel types, or performing a least-squares operation.

[0180] Aspect 14: A method for wireless communication performed by a network node, the method comprising: transmitting or configuring a UE to calculate interference parameters based at least in part on one or more estimated PDPs, one or more pre-decoding rules, and one or more kernels, the one or more estimated PDPs being associated with one or more communication channels; and configuring the UE to apply the interference parameters to transmissions with power close to the compression point of a power amplifier to reduce transmission nonlinearity.

[0181] Aspect 15: The method according to aspect 14, the method further comprising: receiving one or more CSI-RS measurements, wherein the interference parameter is at least partially based on the one or more CSI-RS measurements.

[0182] Aspect 16: The method according to aspect 15 further includes: receiving one or more PDP reports based at least in part on the one or more CSI-RS measurements.

[0183] Aspect 17: According to the method of aspect 16, wherein the one or more PDP reports are based at least in part on the average value of the one or more CSI-RS measurements associated with one or more transmit antennas.

[0184] Aspect 18: The method according to any one of aspects 14 to 17, the method further comprising: receiving SRS.

[0185] Aspect 19: The method according to aspect 18, the method further comprising: sending the one or more estimated PDPs according to the SRS.

[0186] Aspect 20: The method according to aspect 18, the method further comprising: sending a resource allocation for the SRS, wherein the resource allocation is for a periodic, semi-persistent, or aperiodic SRS.

[0187] Aspect 21: The method according to any one of aspects 14 to 20, the method further comprising: transmitting the one or more estimated PDPs, wherein each of the one or more estimated PDPs is associated with a PDP weight, the PDP weight being based at least in part on the number of antennas in a set of applicable antennas.

[0188] Aspect 22: The method according to any one of aspects 14 to 21, the method further comprising: sending the one or more pre-decoding rules.

[0189] Aspect 23: According to the method of aspect 22, wherein the one or more pre-decoding rules are transmitted via radio resource control messages.

[0190] Aspect 24: The method according to aspect 22, wherein transmitting the one or more pre-decoding rules includes: transmitting a plurality of pre-decoding rules via radio resource control message transmission, and transmitting a selection of one of the plurality of pre-decoding rules via MAC-CE message transmission or DCI message transmission.

[0191] Aspect 25: The method according to any one of aspects 14 to 24, the method further comprising: sending one or more kernel types.

[0192] Aspect 26: The method according to any one of Aspects 14 to 25, the method further comprising: transmitting a configuration for calculating the interference parameters based at least in part on signaling associated with the interference parameters.

[0193] Aspect 27: According to the method of aspect 26, wherein the configuration for calculating the interference parameters includes configuration for: randomly generating the one or more communication channels at least in part based on the estimated PDP, generating one or more pre-decoded channels, generating random data, calculating single-layer interference, determining one or more kernels at least in part based on the random data and one or more kernel types, or performing a least squares operation.

[0194] Aspect 28: The method according to any one of Aspects 14 to 27, the method further comprising: randomly generating the one or more communication channels at least in part based on the one or more estimated PDPs; applying the one or more pre-decoding rules to the one or more communication channels to create one or more pre-decoding channels; generating random data; calculating single-layer interference at least in part based on the random data and the one or more pre-decoding channels; determining the one or more kernels at least in part based on the random data and one or more kernel types; and calculating the interference parameters by applying a least-squares operation to the single-layer interference and the kernels.

[0195] Aspect 29: 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 the method according to one or more of aspects 1 to 28.

[0196] Aspect 30: An apparatus for wireless communication, the apparatus comprising a memory and one or more processors coupled to the memory, the one or more processors being configured to perform the method according to one or more of aspects 1 to 28.

[0197] Aspect 31: An apparatus for wireless communication, the apparatus comprising at least one component for performing the method according to one or more of aspects 1 to 28.

[0198] Aspect 32: A non-transitory computer-readable medium storing code for wireless communication, said code including instructions executable by a processor to perform the methods described in one or more of aspects 1 to 28.

[0199] Aspect 33: A non-transitory computer-readable medium storing a set of instructions for wireless communication, the set of instructions comprising one or more instructions that, when executed by one or more processors of a device, cause the device to perform the method according to one or more of aspects 1 to 28.

[0200] While the foregoing disclosure provides examples and descriptions, it is not intended to be exhaustive or to limit aspects to the precise forms disclosed. Modifications and variations can be made based on the foregoing disclosure, or from various aspects of practice.

[0201] As used herein, the term "component" is intended to be interpreted broadly 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 interpreted broadly as meaning instructions, instruction sets, code, code segments, program code, programs, subroutines, software modules, applications, software applications, software packages, routines, subroutines, objects, executable files, threads of execution, procedures, and / or functions, etc. As used herein, a "processor" is implemented in hardware and / or a combination of hardware and software. It will be apparent to those skilled in the art that the systems and / or methods described herein can be implemented in various forms of hardware and / or combinations of hardware and software. The actual dedicated control hardware or software code used to implement these systems and / or methods is not limiting in any way. Therefore, no specific software code is referenced herein to describe the operation and behavior of the systems and / or methods, as those skilled in the art will understand that the software and hardware can be designed, at least in part, based on the descriptions herein, to implement the systems and / or methods.

[0202] As used in this article, depending on the context, "meeting the threshold" can mean a value greater than the threshold, greater than or equal to the threshold, less than the threshold, less than or equal to the threshold, equal to the threshold, not equal to the threshold, etc.

[0203] Although specific combinations of features are 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 may be combined in ways not specifically set forth in the claims and / or not disclosed in the specification. The disclosure of various aspects includes each dependent claim in combination with each other claim in the set of claims. As used herein, the phrase “at least one of” in the list of items refers to any combination of these items (including 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, as well as any combination having multiple identical elements (e.g., 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 ordering of a, b, and c).

[0204] No element, action, or instruction used herein should be construed as essential or necessary unless explicitly stated otherwise. Furthermore, as used herein, the articles “a” and “an” are intended to include one or more items and are used interchangeably with “one or more.” Furthermore, as used herein, the article “described” is intended to include one or more items mentioned in connection with the article “described” and is used interchangeably with “one or more.” Furthermore, as used herein, the terms “set” and “group” are intended to include one or more items and are used interchangeably with “one or more.” If only one item is desired, the phrase “only one” or similar terminology will be used. Furthermore, as used herein, the terms “having” and the like are intended to be open-ended terms that do not limit the elements they modify (e.g., an element “having” A may also have B). Furthermore, the phrase “based on” is intended to mean “at least partially based on” unless otherwise explicitly stated. Furthermore, as used herein, the term “or” is intended to be open-ended when used in a series and is interchangeable with “and / or” unless otherwise explicitly stated (e.g., if used in conjunction with “any” or “only one”).

Claims

1. An apparatus for wireless communication at a user equipment (UE), the apparatus comprising: One or more memory units; and One or more processors, which are configured individually or jointly and at least in part based on information stored in the one or more memories, to: Receive configuration for receiving or calculating interference parameters based at least in part on one or more estimated power delay distributions (PDPs), one or more pre-decoding rules, and one or more kernels, wherein the one or more estimated PDPs are associated with one or more communication channels; as well as The receiver is configured to apply the interference parameters to a transmission with power close to the compression point of the power amplifier to reduce transmission nonlinearity.

2. The apparatus of claim 1, wherein the one or more processors are further configured to: transmit one or more Channel State Information Reference Signal (CSI-RS) measurements, wherein the interference parameters are at least partially based on the one or more CSI-RS measurements.

3. The apparatus of claim 2, wherein the one or more processors are further configured to: send one or more PDP reports based at least in part on the one or more CSI-RS measurements.

4. The apparatus of claim 3, wherein the one or more PDP reports are based at least in part on the average value of the one or more CSI-RS measurements associated with one or more transmit antennas.

5. The apparatus of claim 1, wherein the one or more processors are further configured to: transmit a probe reference signal (SRS).

6. The apparatus of claim 5, wherein the one or more processors are further configured to: receive the one or more estimated PDPs according to the SRS.

7. The apparatus of claim 5, wherein the one or more processors are further configured to: receive resource allocation for the SRS, wherein the resource allocation is for periodic, semi-persistent, or aperiodic SRS.

8. The apparatus of claim 1, wherein the one or more processors are further configured to: receive the one or more estimated PDPs, wherein each of the one or more estimated PDPs is associated with a PDP weight, the PDP weight being at least partially based on the number of antennas in a set of applicable antennas.

9. The apparatus of claim 1, wherein the one or more processors are further configured to: receive the one or more pre-decoding rules.

10. The apparatus of claim 9, wherein the one or more pre-decoding rules are received via radio resource control messages.

11. The apparatus of claim 9, wherein, in order to receive the one or more pre-decoding rules, the one or more processors are configured to: receive a plurality of pre-decoding rules via radio resource control message transmission, and receive a selection of one of the plurality of pre-decoding rules via medium access control (MAC) control element (MAC-CE) message transmission or downlink control information (DCI) message transmission.

12. The apparatus of claim 1, wherein the one or more processors are further configured to receive one or more kernel types.

13. The apparatus of claim 1, wherein the configuration for receiving or calculating the interference parameters includes a configuration for: randomly generating the one or more communication channels at least in part based on the estimated PDP, generating one or more pre-decoded channels, generating random data, calculating single-layer interference, determining one or more kernels at least in part based on the random data and one or more kernel types, or performing a least-squares operation.

14. An apparatus for wireless communication at a network node, the apparatus comprising: One or more memory units; and One or more processors, which are configured individually or jointly and at least in part based on information stored in the one or more memories, to: Send or configure user equipment (UE) to calculate interference parameters based at least in part on one or more estimated power delay distributions (PDPs), one or more pre-decoding rules, and one or more kernels, wherein the one or more estimated PDPs are associated with one or more communication channels; as well as The UE is configured to apply the interference parameters to transmissions with power close to the compression point of the power amplifier to reduce transmission nonlinearity.

15. The apparatus of claim 14, wherein the one or more processors are further configured to: receive one or more channel state information reference signal (CSI-RS) measurements, wherein the interference parameters are at least partially based on the one or more CSI-RS measurements.

16. The apparatus of claim 14, wherein the one or more processors are further configured to: transmit the one or more estimated PDPs, wherein each of the one or more estimated PDPs is associated with a PDP weight, the PDP weight being at least partially based on the number of antennas in a set of applicable antennas.

17. The apparatus of claim 14, wherein the one or more processors are further configured to: transmit the one or more pre-decoding rules.

18. The apparatus of claim 14, wherein the one or more processors are further configured to: send one or more kernel types.

19. The apparatus of claim 14, wherein the one or more processors are further configured to: The one or more communication channels are randomly generated, at least in part, based on the one or more estimated PDPs; Apply the one or more pre-decoding rules to the one or more communication channels to create one or more pre-decoding channels; Generate random data; Single-layer interference is calculated at least in part based on the random data and the one or more pre-decoded channels; The one or more kernels are determined at least in part based on the random data and one or more kernel types; as well as The interference parameters are calculated by applying least squares to the single-layer interference and the kernel.

20. A method for wireless communication performed by a user equipment (UE), the method comprising: The receiver is configured to receive or compute at least in part based on one or more estimated power delay distributions (PDPs), one or more pre-decoding rules, and one or more kernel interference parameters, wherein the one or more estimated PDPs are associated with one or more communication channels; as well as The receiver is configured to apply the interference parameters to a transmission with power close to the compression point of the power amplifier to reduce transmission nonlinearity.

21. The method according to claim 20, further comprising: Receive the one or more estimated PDPs, each of the one or more estimated PDPs being associated with a PDP weight, the PDP weight being at least in part based on the number of antennas in a set of applicable antennas.

22. The method according to claim 20, further comprising: Receive one or more pre-decoding rules.

23. The method according to claim 20, further comprising: It can accept one or more kernel types.

24. The method of claim 20, wherein the configuration for receiving or calculating the interference parameters includes configuration for: randomly generating the one or more communication channels at least in part based on the estimated PDP, generating one or more pre-decoded channels, generating random data, calculating single-layer interference, determining one or more kernels at least in part based on the random data and one or more kernel types, or performing a least-squares operation.

25. A method for wireless communication performed by a network node, the method comprising: Send or configure user equipment (UE) to calculate interference parameters based at least in part on one or more estimated power delay distributions (PDPs), one or more pre-decoding rules, and one or more kernels, wherein the one or more estimated PDPs are associated with one or more communication channels; as well as The UE is configured to apply the interference parameters to transmissions with power close to the compression point of the power amplifier to reduce transmission nonlinearity.

26. The method according to claim 25, further comprising: Receive one or more Channel State Information Reference Signal (CSI-RS) measurements, wherein the interference parameters are at least partially based on the one or more CSI-RS measurements.

27. The method of claim 25, further comprising: receiving a sounding reference signal (SRS).

28. The method of claim 25, further comprising: Send one or more pre-decoding rules.

29. The method according to claim 25, further comprising: Send one or more kernel types.

30. The method according to claim 25, further comprising: The one or more communication channels are randomly generated, at least in part, based on the one or more estimated PDPs; Apply the one or more pre-decoding rules to the one or more communication channels to create one or more pre-decoding channels; Generate random data; Single-layer interference is calculated at least in part based on the random data and the one or more pre-decoded channels; The one or more kernels are determined at least in part based on the random data and one or more kernel types; as well as The interference parameters are calculated by applying least squares to the single-layer interference and the kernel.

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