A method and apparatus for managing channel state information feedback in wireless communication system supporting higher number of antenna ports

Abstract

Embodiments herein disclose a method for managing CSI feedback in a wireless communication system supporting a higher number of antenna ports. The method includes receiving by a UE (201) a CSI reporting configuration for Type I single-panel CSI feedback. The method includes determining by the UE (201) a precoding matrix based on the CSI reporting configuration. The method includes precoding matrix involves W1 CSI feedback and W2. The method includes transmitting by the UE (201) the CSI report on uplink channel to a base station.

Description

A METHOD AND APPARATUS FOR MANAGING CHANNEL STATE INFORMATION FEEDBACK IN WIRELESS COMMUNICATION SYSTEM SUPPORTING HIGHER NUMBER OF ANTENNA PORTS

[0001] The proposed embodiments relate to a wireless technology, and more particularly to managing Channel State Information (CSI) feedback in a wireless communication system supporting a higher number of antenna ports.

[0002] 5G mobile communication technologies define broad frequency bands such that high transmission rates and new services are possible, and can be implemented not only in "Sub 6GHz" bands such as 3.5GHz, but also in "Above 6GHz" bands referred to as mmWave including 28GHz and 39GHz. In addition, it has been considered to implement 6G mobile communication technologies (referred to as Beyond 5G systems) in terahertz bands (for example, 95GHz to 3THz bands) in order to accomplish transmission rates fifty times faster than 5G mobile communication technologies and ultra-low latencies one-tenth of 5G mobile communication technologies.

[0003] At the beginning of the development of 5G mobile communication technologies, in order to support services and to satisfy performance requirements in connection with enhanced Mobile BroadBand (eMBB), Ultra Reliable Low Latency Communications (URLLC), and massive Machine-Type Communications (mMTC), there has been ongoing standardization regarding beamforming and massive MIMO for mitigating radio-wave path loss and increasing radio-wave transmission distances in mmWave, supporting numerologies (for example, operating multiple subcarrier spacings) for efficiently utilizing mmWave resources and dynamic operation of slot formats, initial access technologies for supporting multi-beam transmission and broadbands, definition and operation of BWP (BandWidth Part), new channel coding methods such as a LDPC (Low Density Parity Check) code for large amount of data transmission and a polar code for highly reliable transmission of control information, L2 pre-processing, and network slicing for providing a dedicated network specialized to a specific service.

[0004] Currently, there are ongoing discussions regarding improvement and performance enhancement of initial 5G mobile communication technologies in view of services to be supported by 5G mobile communication technologies, and there has been physical layer standardization regarding technologies such as V2X (Vehicle-to-everything) for aiding driving determination by autonomous vehicles based on information regarding positions and states of vehicles transmitted by the vehicles and for enhancing user convenience, NR-U (New Radio Unlicensed) aimed at system operations conforming to various regulation-related requirements in unlicensed bands, NR UE Power Saving, Non-Terrestrial Network (NTN) which is UE-satellite direct communication for providing coverage in an area in which communication with terrestrial networks is unavailable, and positioning.

[0005] Moreover, there has been ongoing standardization in air interface architecture / protocol regarding technologies such as Industrial Internet of Things (IIoT) for supporting new services through interworking and convergence with other industries, IAB (Integrated Access and Backhaul) for providing a node for network service area expansion by supporting a wireless backhaul link and an access link in an integrated manner, mobility enhancement including conditional handover and DAPS (Dual Active Protocol Stack) handover, and two-step random access for simplifying random access procedures (2-step RACH for NR). There also has been ongoing standardization in system architecture / service regarding a 5G baseline architecture (for example, service based architecture or service based interface) for combining Network Functions Virtualization (NFV) and Software-Defined Networking (SDN) technologies, and Mobile Edge Computing (MEC) for receiving services based on UE positions.

[0006] As 5G mobile communication systems are commercialized, connected devices that have been exponentially increasing will be connected to communication networks, and it is accordingly expected that enhanced functions and performances of 5G mobile communication systems and integrated operations of connected devices will be necessary. To this end, new research is scheduled in connection with eXtended Reality (XR) for efficiently supporting AR (Augmented Reality), VR (Virtual Reality), MR (Mixed Reality) and the like, 5G performance improvement and complexity reduction by utilizing Artificial Intelligence (AI) and Machine Learning (ML), AI service support, metaverse service support, and drone communication.

[0007] Furthermore, such development of 5G mobile communication systems will serve as a basis for developing not only new waveforms for providing coverage in terahertz bands of 6G mobile communication technologies, multi-antenna transmission technologies such as Full Dimensional MIMO (FD-MIMO), array antennas and large-scale antennas, metamaterial-based lenses and antennas for improving coverage of terahertz band signals, high-dimensional space multiplexing technology using OAM (Orbital Angular Momentum), and RIS (Reconfigurable Intelligent Surface), but also full-duplex technology for increasing frequency efficiency of 6G mobile communication technologies and improving system networks, AI-based communication technology for implementing system optimization by utilizing satellites and AI (Artificial Intelligence) from the design stage and internalizing end-to-end AI support functions, and next-generation distributed computing technology for implementing services at levels of complexity exceeding the limit of UE operation capability by utilizing ultra-high-performance communication and computing resources.

[0008] The principal object of the embodiments herein is to manage CSI feedback in a wireless communication system that supports a higher number of antenna ports.

[0009] Another object of the invention is to provide an extension and new framework for spatial domain CSI feedback with a combinatorial indicator.

[0010] Yet another object of the invention is to provide a support for the higher number of antenna ports, including 48, 64, or up to 128 antenna ports and also enhance the capacity of antenna ports in order to improve performance.

[0011] In an aspect, the objectives are achieved by providing a method for managing CSI feedback in a wireless communication system. Further, the method includes receiving by a user equipment (UE) a CSI reporting configuration for a Type I single-panel CSI feedback. Further, the method includes determining by the UE a precoding matrix based on the CSI reporting configuration. The precoding matrix includes a spatial domain (W1) CSI feedback and a Phase information (W2). Further, the method includes transmitting by the UE the CSI report on uplink channel to a base station.

[0012] In anembodiment, the method includes determining the W1matrix by the UE. Further, the method includes generating by the UE a discrete Fourier transform (DFT) beam and selecting the individual beam for each layer of a plurality of layers. Each DFT beam of each layer is independent of other layer beams of the plurality of layers. Further, the method includes providing by the UE the W1CSI feedback for each layer individually. The W1CSI feedback includes distinct oversampling factors (1 and 2) and distinct parameters and ) for each layer of the plurality of layers.

[0013] In an embodiment, the method includes W1CSI feedback, involves generating by the UE a single combinatorial value which is summation of combinatorial values for a plurality of layers. Each individual combinatorial value contains an individual beam selection out of N1*N2DFT beams for an individual layer for the plurality of layers.

[0014] In an embodiment, the method includes the single combinatorial values are reported for each layer separately for plurality of layers.

[0015] In an embodiment, the method includes determining by the UE the W2involves constructing by the UE the precoding matrix without enforcing orthogonality among column vectors of the precoding matrix.

[0016] In an embodiment, the method includes higher number of antenna ports includes at least one of 48 antenna ports, 64 antenna ports or 128 antenna ports

[0017] In an aspect, the objectives are achieved by providing a UE for managing CSI feedback in a wireless communication system supporting a higher number of antenna ports includes a memory, a processor and a CSI feedback controller.Further, the CSI feedback controller coupled to the memory and the processor. The CSI-feedback controller is configured to receive a CSI reporting configuration for Type I single-panel CSI feedback. Further, the CSI-feedback controller configured to determine a precoding matrix based on the CSI reporting configuration. Further, the CSI-feedback controller configured to determine precoding matrix that involves W1CSI feedback and W2. Further, the CSI-feedback controller configured to transmit the CSI report on uplink channel to a base station.

[0018] In an aspect, the objectives are achieved by providing a network apparatus for managing CSI feedback in a wireless communication system supporting a higher number of antenna ports includes a memory, a processor and a CSI feedback controller. Further, the CSI feedback controller coupled to the memory and the processor. The CSI-feedback controller is configured to receive a CSI reporting configuration for Type I single-panel CSI feedback. Further, the CSI-feedback controller configured to determine a precoding matrix based on the CSI reporting configuration. Further, the CSI-feedback controller configured to determine precoding matrix that involves W1CSI feedback and W2. Further, the CSI-feedback controller configured to transmit the CSI report on uplink channel to a base station.

[0019] In an another aspect, a method performed by a user equipment (UE) in a wireless communication system is provided. The method includes receiving, from a base station, a channel state information (CSI) reporting configuration for type I single-panel CSI feedback, wherein the CSI reporting configuration is for a larger number of antenna ports of a channel state information reference signal (CSI-RS) than 32 antenna ports; determining a precoding matrix based on the CSI reporting configuration, wherein precoding matrix is associated with a CSI feedback for each beam for each of one or more layers and phase information; and transmitting, to the base station, a CSI report including the CSI feedback and the phase information on an uplink channel, wherein the CSI feedback indicates q1and q2by a first combinatorial value andn1and n2by using a second combinatorial value for determining the beam for each of one or more layers where i = 0, ... , ν-1.

[0020] In an another aspect, a method performed by a base station in a wireless communication system is provided. The method includes transmitting, to a user equipment (UE), a channel state information (CSI) reporting configuration for type I single-panel CSI feedback, wherein the CSI reporting configuration is for a larger number of antenna ports of a channel state information reference signal (CSI-RS) than 32 antenna ports; and receiving, from the UE, a CSI report including a CSI feedback and phase information on an uplink channel, wherein a precoding matrix corresponding to the CSI reporting configuration is associated with the CSI feedback for each beam for each of one or more layers and the phase information, and wherein the CSI feedback indicates q1and q2by a first combinatorial value andn1and n2by using a second combinatorial value for determining the beam for each of one or more layers where i = 0, ... , ν-1.

[0021] In an another aspect, a user equipment (UE) in a wireless communication system is provided. The UE includes a transceiver; and a controller configured to receive, from a base station, a channel state information (CSI) reporting configuration for type I single-panel CSI feedback, wherein the CSI reporting configuration is for a larger number of antenna ports of a channel state information reference signal (CSI-RS) than 32 antenna ports, determine a precoding matrix based on the CSI reporting configuration, wherein precoding matrix is associated with a CSI feedback for each beam for each of one or more layers and phase information, and transmit, to the base station, a CSI report including the CSI feedback and the phase information on an uplink channel, wherein the CSI feedback indicates q1and q2by a first combinatorial value andn1and n2by using a second combinatorial value for determining the beam for each of one or more layers where i = 0, ... , ν-1.

[0022] In an another aspect, a base station in a wireless communication system is provided. The base station includes a transceiver; and a controller configured to transmit, to a user equipment (UE), a channel state information (CSI) reporting configuration for type I single-panel CSI feedback, wherein the CSI reporting configuration is for a larger number of antenna ports of a channel state information reference signal (CSI-RS) than 32 antenna ports, and receive, from the UE, a CSI report including a CSI feedback and phase information on an uplink channel, wherein a precoding matrix corresponding to the CSI reporting configuration is associated with the CSI feedback for each beam for each of one or more layers and the phase information, and wherein the CSI feedback indicates q1and q2by a first combinatorial value andn1and n2by using a second combinatorial value for determining the beam for each of one or more layers where i = 0, ... , ν-1.

[0023] These and other aspects of the embodiments herein will be better appreciated and understood when considered in conjunction with the following description and the accompanying drawings. It should be understood, however, that the following descriptions, while indicating preferred embodiments and numerous specific details thereof, are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the embodiments herein without departing from the invention thereof, and the embodiments herein include all such modifications.

[0024] The method and apparatus of the present disclosure have the effect of effectively feeding back channel state information by reducing the payload of channel state information.

[0025] This invention is illustrated in the accompanying drawings, throughout which like reference letters indicate corresponding parts in the various figures. The embodiments herein will be better understood from the following description with reference to the drawings, in which:

[0026] FIG. 1 is a block diagram that illustrates a precoder communication architecture to optimize signal transmission over communication channel, according to a prior art.

[0027] FIG. 2 is a block diagram of a UE for managing CSI feedback in a wireless communication system supporting a higher number of antenna ports, according to the embodiments as disclosed herein.

[0028] FIG. 3 is a block diagram that illustrates a network apparatus for managing CSI feedback in a wireless communication system supporting a higher number of antenna ports, according to the embodiments as disclosed herein.

[0029] FIG. 4 is a flowchart that illustrates a method for managing CSI feedback in spatial domain in a wireless communication system supporting a higher number of antenna ports by the UE, according to the embodiments as disclosed herein.

[0030] FIG.5 is a flowchart that illustrates a method for managing CSI feedback in spatial domain in a wireless communication system supporting a higher number of antenna ports by the network apparatus, according to the embodiments as disclosed herein.

[0031] It may be noted that, to the extent possible, like reference numerals have been used to represent like elements in the drawing. Furthermore, those of ordinary skill in the art will appreciate that elements in the drawing are illustrated for simplicity and may not necessarily have been drawn to scale. For example, the dimensions of some of the elements in the drawing may be exaggerated relative to other elements to improve the understanding of aspects of the invention. Further, the elements may have been represented in the drawing by conventional symbols, and the drawings may show only those specific details that are pertinent to understanding the embodiments of the invention so as not to obscure the drawing with details that will be readily apparent to those of ordinary skill in the art having the benefit of the description herein.

[0032] Wireless communication systems face challenges in maintaining reliable data transmission while maximizing the spectrum efficiency. Existing single antenna systems are particularly vulnerable to signal fading and interference, which can significantly impact the communication quality and data throughput. These limitations have become increasingly critical as modern applications demand higher data rates and more reliable connections.

[0033] The use of multiple antennas for transmission and / or reception provides significant advantages in mobile-communication systems. By employing multiple antennas at a transmitter and / or receiver, diversity against fading can be achieved. This is possible because the channels experienced by different antennas may be partially uncorrelated, either due to adequate inter-antenna spacing or varying polarization between the antennas.

[0034] An important drawback is the inability of existing systems or specifications to sufficiently support large antenna arrays with various CSI-RS ports for CSI measurement and reporting. This limitation severely restricts the potential benefits of advanced antenna configurations. As a result, existing systems, initially designed for smaller antenna arrays, become inefficient and potentially inaccurate when scaled up to larger configurations.

[0035] Another major drawback lies in the cost-effectiveness and performance trade-off in fully digital gNB implementations. While digital processing provides a high performance, the existing systems make it financially unfeasible to implement at scale. This constraint has compelled many operators to compromise on the performance potential.

[0036] Existing standards such as 3GPP Release-18, restrict the number of CSI-RS ports to a maximum of 32 for CSI feedback. This limitation adversely impacts the effectiveness of large antenna arrays necessary for future networks. The lack of support for CSI feedback beyond this limit creates a bottleneck in achieving the desired performance improvements.

[0037] In order to address these limitations, support for a CSI reporting has been expanded to 128 CSI-RS ports. However, this solution has introduced a new challenge that existing codebook reporting systems are not equipped to handle such extensive port configurations. This inconsistency between port capacity and reporting capabilities creates a bottleneck in system performance, ultimately delaying the optimal utilization of advanced antenna arrays.

[0038] Hence it is desirable to address the above mentioned problem and disadvantages or at least provide a useful alternative

[0039] The embodiments herein and the various features and advantageous details thereof are explained more fully with reference to the non-limiting embodiments that are illustrated in the accompanying drawings and detailed in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the embodiments herein. Also, the various embodiments described herein are not necessarily mutuallyexclusive, as some embodiments can be combined with one or more other embodiments to form new embodiments. The term "or" as used herein, refers to a non-exclusive or, unless otherwise indicated. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein can be practiced and to further enable those skilled in the art to practice the embodiments herein. Accordingly, the examplesshouldnot be construed as limiting the scope of the embodiments herein.

[0040] As is traditional in the field, embodiments may be described and illustrated in terms of blocks which carry out a described function or functions. These blocks, which may be referred to herein as units or modules or the like, are physically implemented by analog or digital circuits such as logic gates, integrated circuits, microprocessors, microcontrollers, memory circuits, passive electronic components, active electronic components, optical components, hardwired circuits and the like, and may optionally be driven by firmware. The circuits may, for example, be embodied in one or more semiconductor chips, or on substrate supports such as printed circuit boards and the like. The circuits constituting a block may be implemented by dedicated hardware, or by a processor (e.g., one or more programmed microprocessors and associated circuitry), or by a combination of dedicated hardware to perform some functions of the block and a processor to perform other functions of the block. Each block of the embodiments may be physically separated into two or more interacting and discrete blockswithoutdeparting from the scope of the disclosure. Likewise, the blocks of the embodiments may be physically combined into more complex blocks without departing from the scope of the disclosure.

[0041] The accompanying drawings are used to help easily understand various technical features and itshouldbe understood that the embodiments presented herein are not limited by the accompanying drawings. As such, the present disclosure should be construed to extend to any alterations, equivalents and substitutes in addition to those which are particularly set out in the accompanying drawings. Although the terms first, second, etc. may be used herein to describe various elements, these elementsshouldnot be limited by these terms. These terms are generally only used to distinguish one element from another.

[0042] The use of multiple antennas for transmission and / or reception provides significant advantages in mobile-communication systems. By employing multiple antennas at a transmitter and / or receiver, diversity against fading can be achieved. This is possible because the channels experienced by different antennas may be partially uncorrelated, either due to adequate inter-antenna spacing or varying polarization between the antennas.

[0043] Wireless communication systems can control multiple transmitting antennas by adjusting their timing (phase) and power levels (amplitude). This allows the wireless systems to create focused beams of radio signals aimed at specific directions or locations, similar to how a flashlight beam can be directed. This focused transmission, known as beam forming, helps achieve faster data speeds and a longer range by ensuring that more signal power reaches the intended receiver. Additionally, the focused approach reduces interference with other nearby wireless communications.

[0044] Further, by incorporating multiple receive antennas, a receiver-side directivity can be achieved, allowing for the reception to be focused on a specific target signal while simultaneously suppressing interference from other directions. Furthermore, the deployment of multiple antennas at both the transmitter and receiver sides enables spatial multiplexing. This technique facilitates the transmission of multiple data layers in parallel, utilizing the same time and frequency resources.

[0045] FIG. 1 is the block diagram that illustrates the precoder communication architecture to optimize the signal transmission over the communication channel, according to a prior art. The communication system architecture highlights the use of the precoder in a multi-antenna (MIMO) setup to optimize signal transmission over a wireless channel.

[0046] The integration of data streams (x1,x2,...,xNL) and Demodulation Reference Signals (DMRS) for channel estimation, which are combined at the transmitter side before being processed by the precoder (W) (101). The W (101) maps the input data streams onto (y0,y1,..., NT) transmit antennas, adapting the signals to the characteristics of the channel (H) for improved transmission efficiency.

[0047] On the receiver side, the W (101) discloses how the channel as perceived by the receiver (H) (102) may include distortions, such as noise and interference. The DMRS signals embedded in the transmitted data are used by the receiver (102) to estimate the channel and decode the transmitted information accurately. The FIG.1 disclosed the role of the W (101) in enhancing signal quality and maximizing spatial diversity or multiplexing gains in a complex wireless communication environment.

[0048] All NR downlink physical channels rely on channel-specific DMRSs to support coherent demodulation. Furthermore, the UE can assume that the DMRSs are jointly precoded with the data, as shown in the FIG.1. Accordingly, any downlink multi-antenna precoding is transparent to the UE, allowing the network to apply any transmitter-side precoding without the need to inform the UE of the specific precoding being applied. This flexibility simplifies the receiver (102) design while enabling advanced precoding strategies to enhance system performance.

[0049] Modern wireless communication systems, like New Radio (NR), use multi-antenna precoding to improve the efficiency and reliability of downlink transmissions. The precoding uses multiple antennas at the transmitter to shape and direct the transmitted signals, optimizing the performance for single-user or multi-user scenarios. In this scenario, specification impact of downlink multi-antenna precoding primarily relates to the measurements and reporting performed by the UE to assist the network in selecting an appropriate precoder for downlink a Physical Downlink Shared Channel (PDSCH) transmission. To facilitate this process, the UE performs the CSI reporting based on predefined configurations. The CSI reporting framework includes a Rank Indicator (RI), a Precoder-Matrix Indicator (PMI), and a Channel-Quality Indicator (CQI).

[0050] In an embodiment, the RI indicates the number of transmission layers that the UE considers suitable for downlink transmission.

[0051] In an embodiment, the PMI discloses a suitable W based on the channel conditions and the selected rank.

[0052] In an embodiment, the CQI provides guidance on the optimal channel coding rate and a modulation scheme for the selected precoder matrix.

[0053] The PMI reported by the device corresponds to a specific precoder matrix within a precoder codebook, which is defined on the number basis of antenna ports (NT) associated with the configured CSI Reference Signal (CSI-RS) and the selected transmission rank (NL). However, while the precoder codebooks are essential for a PMI reporting and do not provide any limitations on the actual precoder used by the network. The network is free to apply any precoding scheme for downlink transmission, even if it is not part of the defined codebook.

[0054] In some cases, the network may choose the precoder indicated by the PMI. However, in other cases, such as multi-user MIMO (MU-MIMO), the network may have additional considerations that necessitate the selection of a different precoder. The MU-MIMO enables simultaneous downlink transmissions to multiple devices using the same time and frequency resources. The selection of precoder in this scenario is more complex, as it must account for minimizing interference among multiple devices while focusing energy towards each target device. As a result, the network's precoder selection process must consider the PMI from all simultaneously scheduled devices.

[0055] To address the varying demands of single-user and multi-user scenarios, the NR defines two types of CSI reporting i.e a Type I CSI and a Type II CSI.

[0056] The Type I CSI primarily targets scenarios where a single user is scheduled within a given time / frequency resource (no MU-MIMO), potentially with the transmission of a relatively large number of layers in parallel (high-order spatial multiplexing).

[0057] The type II CSI is designed for complex scenarios, such as MU-MIMO, with larger and more detailed codebooks to manage interference and improve performance in multi-user environments.

[0058] Further, the type I CSI is generally categorized into two subtypes i.e. a Type I single-panel CSI and a Type I multi-panel CSI, each associated with distinct codebooks designed under different antenna configurations on the transmitter / network side.

[0059] The codebooks enable the selection of precoding matrices based on downlink measurements from the receiver side. The codebook involves the process of selecting a matrix from a predefined codebook that best matches the current channel conditions. However, the selection of a precoder matrix does not rely on explicit knowledge of the network's antenna configuration. Instead, the device or UE uses available channel state information to determine the most suitable matrix, irrespective of the antenna configuration on the network side.

[0060] For Type I single-panel CSI, the W matrix are commonly represented as the product of two matrices, W1and W2.The W matrices in the codebooks for Type I single-panel CSI can be expressed as the product of two matrices W1and W2with information about the selected W1and W2reported separately as different parts of the overall PMI. The matrix W1is designed to represent the long-term frequency-independent characteristics of the channel. A single W1is chosen and applied across the entire reporting bandwidth.

[0061] The W2captures more short-term, potentially frequency-dependent channel characteristics and can be selected on a sub-band basis. Alternatively, the device or UE may choose not to report W1in which case the network randomly selects it per Physical Resource Block Group (PRG) basis.

[0062] At a high level, the matrix can be viewed as defining a beam or a group of neighboring beams pointing in a specific direction. More specifically further, the matrix can be represented as:

[0063]

[0064] where each column of the matrix B defines a beam and the 2 X 2 block structure is due to the two polarizations.

[0065] In the case where the W1defines only a single beam, resulting in '' being a single-column matrix, the focus is solely focuses on maintaining co-phasing between the two polarizations. For higher transmission ranks (R > 2), the W1defines orthogonal beams, where the number of beams is given by N= . These beams, in combination with the two polarization directions, are used for the transmission of multiple layers, while the W2continues to provide co-phasing between the polarizations.

[0066] Existing standards such as 3GPP Release-18, restrict the number of CSI-RS ports to a maximum of 32 for CSI feedback. This limitation adversely impacts the effectiveness of the large antenna arrays necessary for future networks. The lack of support for CSI feedback beyond this limit creates a bottleneck in achieving the desired performance improvements. Specifically, the inability to report CSI feedback for a higher number of ports limits the effective utilization of large antenna arrays, preventing networks from reaching their full potential.

[0067] To overcome the above said drawback, there is a need for an efficient solution capable of reporting CSI for large antenna arrays, supporting up to 128 CSI-RS ports, and handling increased feedback requirements. The proposed invention effectively manage CSI feedback in the wireless communication network with the higher number of antenna ports.

[0068] FIG. 2 is the block diagram of the UE for managing CSI feedback in the wireless communication system supporting the higher number of antenna ports, according to the embodiments as disclosed herein.

[0069] Examples of the UE (101) can include, but are not limited to, Consumer Electronics (such as Mobile Phones and Smartphones), Tablets, Wearable Devices, Television, Computing Devices (such as Laptops, Notebooks, Desktops, Workstations, etc.), IoT Devices, Automotive Systems (such as connected cars, Autonomous Vehicles, Vehicle-to-Everything (V2X) communication devices, etc.), Enterprise Devices such as robotics, Specialized Equipment (such as Medical Devices, Public Safety Devices, etc.), Media Devices (such as Gaming Consoles, Streaming Devices, etc.).

[0070] Examples of the wireless communication network system include, but are not limited to, Cellular Networks (such as 2G, 3G, 4G, 5G, Beyond 5G (B5G) / 6G, or advanced cellular networks), Local Area Networks (LANs) (such as Wi-Fi, Li-Fi, etc.), Personal Area Networks (PANs) (such as Bluetooth, Zigbee, Z-Wave, etc.), Wide Area Networks (WANs) (such as Satellite Communication Networks, Long Range Wide Area Network, Narrowband IoT, Low-bandwidth communication for IoT, etc.), Metropolitan Area Networks (MANs), Machine-to-Machine (M2M), Ad Hoc and Mesh Networks, Emerging and Advanced Networks.

[0071] The UE (201) includes a processor (202), a memory (203), an I / O interface (204) and a CSI-feedback controller (205). The UE (201) can be an end-user device that connects with the network apparatus to access services. For example, the UE (201) can include, but not limited to a mobile phone, a smart phone, tablets, laptops, Internet of Things (IoT) devices. Further, the processor (202) of the UE (201) communicates with the memory (203), the I / O interface (204) and the CSI-feedback controller (205).The processor (202) is configured to execute instructions stored in the memory (203) and to perform various processes. The processor (202) can include one or a plurality of processors, can be a general-purpose processor, such as a central processing unit (CPU), an application processor (AP), or the like, a graphics-only processing unit such as a graphics processing unit (GPU), a visual processing unit (VPU), and / or an Artificial intelligence (AI) dedicated processor such as a neural processing unit (NPU).

[0072] Further, the memory (203) of the UE (201) includes storage locations to be addressable through the processor (202). The memory (203) is not limited to a volatile memory and / or a non-volatile memory. Further, the memory (203) can include one or more computer-readable storage media. The memory (203) can include non-volatile storage elements. For example, non-volatile storage elements can include magnetic hard discs, optical discs, floppy discs, flash memories, or forms of electrically programmable memories (EPROM) or electrically erasable and programmable (EEPROM) memories. The memory (203) can store the media streams such as audios stream, video streams, haptic feedbacks and the like. Also, the memory (202) of the UE (201) can store several information received the at least one of the network apparatus. For example, the memory can store instructions and operational data relating to CSI reporting procedures.

[0073] The I / O interface (204) transmits the information between the memory (203) and external peripheral devices. The peripheral devices are the input-output devices associated with the UE (201). The I / O interface (204) receives several information from the network apparatus. The several information received from the network apparatus can include but not limited to the CSI-RS port configuration.

[0074] The CSI-feedback controller (205) communicates with the I / O interface (204) and memory (203) for reporting CSI in a communication system. The CSI-feedback controller (205) is an innovative hardware that is realized through the physical implementation of both analog and digital circuits, including logic gates, integrated circuits, microprocessors, microcontrollers, memory circuits, passive and active electronic components, as well as optical components.

[0075] The CSI-feedback controller (205) is coupled to the memory (203) and the processor (202). The CSI-feedback controller (205) is configured to receive the CSI reporting configuration for Type I single-panel CSI feedback. Further, the CSI-feedback controller (205) is configured to determine a precoding matrix based on the CSI reporting configuration. The precoding matrix includes W1CSI feedback and W2phase information. Further, the CSI-feedback controller (205) is configured to transmit the CSI report on uplink channel to the base station.

[0076] The CSI-feedback controller (205) is configured to determine the W1matrix. Further, the CSI-feedback controller (205) is configured to generate the DFT beam and selecting the individual beam for each layer of the plurality of layers. Each DFT beam of each layer is independent of other layer beams of the plurality of layers. Further, the CSI-feedback controller (205) is configured to provide the W1CSI feedback for each layer individually. The W1CSI feedback includes distinct q1and q2, and distinct l and m for each layer of the plurality of layers.

[0077] The CSI-feedback controller (205) is configured to the W1CSI feedback. The W1feedback generates the single Value which is summation of combinatorial values for the plurality of layers. Each individual combinatorial value contains the individual beam selection out of N1×N2DFT beams for the individual layer for the plurality of layers. Further, the single combinatorial values are reported for each layer separately for plurality of layers.

[0078] The CSI-feedback controller (205) is configured to determine the W2. Further, the CSI-feedback controller (205) is configured to construct the precoding matrix without enforcing orthogonality among column vectors of the precoding matrix. Further, the higher number of antenna ports in the CSI-feedback controller (205) supports at least one of 48 antenna ports, 64 antenna ports or 128 antenna ports.

[0079] The CSI-feedback controller (205) in the UE (201) determines the W1matrix. The CSI-feedback controller (205) in the UE (201) generates the DFT beam and selects the individual beam for each layer of a plurality of layers. Each DFT beam of each layer is independent of other layer beams of the plurality of layers. The CSI-feedback controller (205) in the UE (201) provides the W1CSI feedback for each layer individually. The W1CSI feedback includes distinct1and2, and and for each layer of the plurality of layers.

[0080] The W1CSI feedback in the UE (201) generates the single Value which is summation of combinatorial values for the plurality of layers. Each individual combinatorial value contains the individual beam selection out of N1*N2DFT beams for the individual layer for the plurality of layers

[0081] The CSI-feedback controller (205) in the UE (201) determines the W2by constructing the precoding matrix without enforcing orthogonality among column vectors of the precoding matrix.

[0082] FIG. 3 is the block diagram that illustrates the network apparatus (301) for managing CSI feedback in spatial domain in a wireless communication system supporting the higher number of antenna ports, according to the embodiments as disclosed herein.

[0083] The network apparatus (301) includes various hardware and software components that facilitate communication between user equipment and network infrastructure. Examples of the network apparatus (301) can include, but is not limited to Base Stations (such as macro cells, small cells, femtocells, pico cells) for wireless communication, Antennas and RF Units (e.g., MIMO, beam forming) to enhance signal coverage and data throughput, Core Network Equipment (e.g., MMEs, S-GWs, P-GWs in 4G; AMFs, UPFs in 5G) for data routing, mobility, and session control, Network Function Virtualization (NFV) and Software-Defined Networking (SDN) for dynamic resource allocation and scalability, Edge Computing Nodes (e.g., MEC servers) for low-latency processing, Backhaul and Transport Equipment (e.g., fiber-optic links, microwave relays, Ethernet switches) to connect base stations to the core network, Network Management Systems (NMS) and Operation Support Systems (OSS) for network configuration, fault management, and optimization, Radio Network Controllers (RNCs) in 3G, Distributed Units (DUs), and Centralized Units (CUs) in 5G, Network Slicing Components for virtualized resource allocation, Security elements (e.g., Firewalls, IDS, AAA Servers) for secure communication.

[0084] The network apparatus (301) includes a processor (302), a memory (303), an I / O interface (304) and a CSI-feedback controller (305). The network apparatus (301) communicates with the UE (201) for reporting the CSI-RS port. For example, the network apparatus (301) can include, but not limited to a base station access point, a central server, or similar equipment. Further, the processor (302) of the network apparatus (301) communicates with the memory (303), the I / O interface (304) and the CSI-feedback controller (305). The processor (302) is configured to execute instructions stored in the memory (303) and to perform various processes. The processor (302) can include one or a plurality of processors, can be a general-purpose processor, such as a central processing unit (CPU), an application processor (AP), or the like, a graphics-only processing unit such as a graphics processing unit (GPU), a visual processing unit (VPU), and / or an Artificial intelligence (AI) dedicated processor such as a neural processing unit (NPU).

[0085] Further, the memory (303) of the network apparatus (301) includes storage locations to be addressable through the processor (302). The memory (303) is not limited to a volatile memory and / or a non-volatile memory. Further, the memory (303) can include one or more computer-readable storage media. The memory (303) can include non-volatile storage elements. For example, non-volatile storage elements can include magnetic hard discs, optical discs, floppy discs, flash memories, or forms of electrically programmable memories (EPROM) or electrically erasable and programmable (EEPROM) memories. The memory (303) can store the media streams such as audios stream, video streams, haptic feedbacks and the like. Also, the memory (303) of the network apparatus (301) can store several information received from the UE (201).

[0086] The I / O interface (304) transmits the information between the memory (303) and external peripheral devices. The peripheral devices are the input-output devices associated with the network apparatus (301). The I / O interface (304) receives several information from the UE (201).

[0087] The CSI-feedback controller (305) communicates with the I / O interface (304) and the memory (303) for reporting CSI in the communication system. The CSI-feedback controller (305) is an innovative hardware that is realized through the physical implementation of both analog and digital circuits, including logic gates, integrated circuits, microprocessors, microcontrollers, memory circuits, passive and active electronic components, as well as optical components. The CSI-feedback controller (305) of the network apparatus (301).

[0088] The CSI-feedback controller (305) in the network apparatus (301) is coupled to the memory (303) and the processor (302). The CSI-feedback controller (305) is configured to receive the CSI reporting configuration for Type I single-panel CSI feedback. Further, the CSI-feedback controller (305) is configured to determine the precoding matrix based on the CSI reporting configuration. The precoding matrix includes W1CSI feedback and Co-Phasing between polarization given by W2. Further, the CSI-feedback controller (305) is configured to transmit the CSI report on uplink channel to the base station.

[0089] FIG. 4 is the flowchart that illustrates the method for managing CSI feedback by the UE (201), according to the embodiments as disclosed herein. At step 401, the method includes receiving by the UE (201) the CSI reporting configuration for Type I single-panel CSI feedback. At step 402, the method includes determining by the UE (201) the precoding matrix based on the CSI reporting configuration. Further, the precoding matrix includes W1and W2. At step 403, the method includes transmitting by the UE (201) the CSI report on uplink shared channel to the base station.

[0090] FIG.5 is the flowchart that illustrates the method for managing CSI feedback by the network apparatus (301), according to the embodiments as disclosed herein. At step 501, the method includes receiving the network apparatus (301) the CSI reporting configuration for Type I single-panel CSI feedback. At step 502, the method includes determining by the network apparatus (301) the precoding matrix based on the CSI reporting configuration. Further, the precoding matrix includes W1and W2.

[0091] At step 503 - the method includes transmitting by the network apparatus (301) CSI report on uplink shared channel to the base station.

[0092] The proposed invention manages CSI feedback in the wireless communication systems that integrates multiple legacy frameworks to support the higher number of CSI-RS ports. By combining different methodologies, the proposed invention creates the new framework that facilitates the reporting of CSI for up to 128 antenna ports. The proposed invention utilizes legacy feedback algorithms to minimize the complexity and improve efficiency.

[0093] Further proposed invention discloses how the UE (201) reports CSI by introducing the novel precoding matrix determination technique. Further, the proposed invention allows an independent beam selection across multiple layers without enforcing strict orthogonality constraints.

[0094] Further, the proposed invention utilizes the legacy feedback algorithms, particularly by using technique from a Type II CSI reporting and strategically enhancing them for application to Type I CSI. The feedback algorithm enhancement significantly reduces feedback complexity while preserving robust and accurate CSI reporting capabilities, thereby improving the overall efficiency of the framework.

[0095] In an embodiment, the UE (201) receives the CSI reporting configuration for the Type I single-panel CSI feedback. Based on the configuration, the UE (201) determines the precoding matrix based on the CSI reporting configuration. The precoding matrix includes the W1matrix that reflects the spatial characteristics of the channel and the W2matrix that captures phase information that may be used to optimize transmission. Further, the UE (201) transmits the CSI report over the uplink channel to the base station. The CSI report includes the feedback data derived from the precoding matrix and is used by the base station to optimize future transmission.

[0096] In the context of Rel 15 type I precoder, the precoding matrix is mathematically given as , Where W1is Wideband SD basis and W2is sub-band wise co-phasing. For Ex below Is rank(RI)= 2 example of precoder . Rank RI can vary from .

[0097]

[0098] N1and N2are digital virtual ports configured by BS to UE in horizontal and vertical direction

[0099] O1, O2are over sampling vector for horizontal and vertical direction configured by BS to UE

[0100] The values of N1and N2are configured with the higher layer parameter n1-n2, respectively. The supported configurations O1, O2for a given number of CSI-RS ports and the corresponding values of are given as per legacy table 1.

[0101] r1= 2, 4, 8, 16 and n= 0, 1, ... , r1-1

[0102] Current specification describes the feedback of W1as given below,

[0103] The bitmap parameter n1-n2 forms the bit sequence where a0 is the LSB and is the MSB and where a bit value of zero indicates that PMI reporting is not allowed to correspond to any precoder associated with the bit. The number of bits is given by . Except when the number of layers ν∈{3,4} and the number of antenna ports is 16, 24, or 32, bit is associated with all precoders based on the quantity νl.m. l=0, ... , N1O1-1, m= 0, ... , N2O2-1. When the number of layers ν∈{3,4} and the number of antenna ports is 16, 24, or 32,

[0104]

[0105] if one or more of the associated bits is zero, then PMI reporting is not allowed to correspond to any precoder based on .

[0106] For determining the precoding matrix, the UE (201) generates the DFT beams and selects the individual beam for each layer of the plurality of layers. Each DFT beam is independent of the other beams in the layer set, which enables more flexibility in beamforming. Additionally, the precoding matrix is constructed without enforcing orthogonality among the column vectors of the matrix, allowing for more efficient feedback transmission.

[0107] Unlike existing systems that enforce orthogonality among the column vectors of the precoding matrix, the proposed invention allows the construction of the W1matrix without enforcing orthogonality. Hence, without enforcing of orthogonality of the DFT beams among layers, the CSI feedback is increased. This is because the feedback of each layer individually may have distinct q1and q2oversampling factor and for l and m, which increases the oversampling vector considerably. The CSI feedback allows the base station to adjust transmission parameters for each layer separately and helps to improve the overall communication performance.

[0108] Thus, to solve this problem of very high feedback of W1feedback mechanism of CSI type II is used with some enhancements to values. This may save feedback bits.

[0109]

[0110] Where C(x,y) values are given in table 1

[0111] The elements of q1and q2are found from i11and elements of n1and n2are found from i12using the algorithm as follows

[0112] The elements of 1 and 2 are found from 12 using the algorithm as follows:

[0113]

[0114]

[0115] Further, the single combinatorial value is the summation of the individual combinatorial values for each transmission layer. Each individual combinatorial value is based on the selection of beams from the set of N1×N2 DFT beams and ensures the separate beam selection for each layer. The summation of the combinatorial values reduces the amount of information to be transmitted and it preserves the necessary detail for effective transmission.

[0116] The elements of q1and q2are found from i11using the algorithm as follows,

[0117]

[0118]

[0119] The proposed invention supporting multiple antenna port configurations, specifically for 48, 64, and 128 antenna ports. This scalability is achieved through a flexible bitmap parameter n1-n2, which forms a bit sequence a_(Ac-1), ..., a1, a0, where Ac = N1O1N2O2. The bitmap allows selective precoder reporting by associating specific bit values with different precoder configurations.

[0120] Further, the legacy table is a predefined lookup table used for specific calculations or mappings. In the present invention, the legacy table 1 for the c(x,y) is as given below,

[0121] x / y12340000011000221003331044641551010566152015772135358828567099368412610104512021011115516533012126622049513137828671514149136410011515105455136516161205601820171713668023801818153816306020201901140484521212101330598522222311540731523232531771885524242762024106262525300230012650262632526001495027273512925175502828378327620475292940636542375130304354060274053131465449531465323249649603596033335285456409203434561598446376353559565455236036366307140589053737666777066045383870384367381539397419139822514040780988091390414182010660101270424286111480111930434390312341123410444494613244135751454599014190148995464610351518016318547471081162151783654848112817296194580494911761842421187650501225196002303005151127520825249900525213262210027072553531378234262928255454143124804316251555514852623534105556561540277203672905757159629260395010585816533085642427059591711325094551266060177034220487635616118303599052185562621891378205578456363195339711595665

[0122] Further, the proposed invention supports multiple antenna port configurations. Specifically, the proposed invention support scalability across 48, 64, and 128 antenna ports through a bitmap parameter mechanism.

[0123] Furthermore, the proposed invention supports multiple antenna port configurations. The proposed invention enables scalability across 48, 64, and 128 antenna ports through a bitmap parameter mechanism.

[0124] The proposed invention provides the effective solution for managing CSI feedback in large antenna array systems. The proposed invention allows CSI to be reported for up to 128 antenna ports thereby improving the feedback process with advanced algorithms, and optimizing efficiency by utilizing legacy systems. The proposed invention enhances better downlink coverage, increases spectral efficiency, and improves performance for advanced networks like 5G.The various actions, acts, blocks, steps, or the like in the method is performed in the order presented, in a different order or simultaneously. Further, in some embodiments, some of the actions, acts, blocks, steps, or the like are omitted, added, modified, skipped, or the like without departing from the scope of the proposed method.

[0125] The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modificationsshouldand are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the scope of the embodiments as described herein.

Claims

1.A method performed by a user equipment (UE) in a wireless communication system, the method comprising:receiving, from a base station, a channel state information (CSI) reporting configuration for type I single-panel CSI feedback, wherein the CSI reporting configuration is for a larger number of antenna ports of a channel state information reference signal (CSI-RS) than 32 antenna ports;determining a precoding matrix based on the CSI reporting configuration, wherein precoding matrix is associated with a CSI feedback for each beam for each of one or more layers and phase information; andtransmitting, to the base station, a CSI report including the CSI feedback and the phase information on an uplink channel,wherein the CSI feedback indicates q1and q2by a first combinatorial value and n1and n2by using a second combinatorial value for determining the beam for each of one or more layers where i = 0, ..., ν-1.2.The method of claim 1, wherein the larger number of antenna ports is one of 48, 64, 128.3.The method of claim 1, wherein the first combinatorial value i11 indicates q1and q2where , and .4.The method of claim 1, wherein the second combinatorial value i12 indicates n1and n2, andwherein,andwhere ν∈{1, 2, 3, 4}.5.A method performed by a base station in a wireless communication system, the method comprising:transmitting, to a user equipment (UE), a channel state information (CSI) reporting configuration for type I single-panel CSI feedback, wherein the CSI reporting configuration is for a larger number of antenna ports of a channel state information reference signal (CSI-RS) than 32 antenna ports; andreceiving, from the UE, a CSI report including a CSI feedback and phase information on an uplink channel,wherein a precoding matrix corresponding to the CSI reporting configuration is associated with the CSI feedback for each beam for each of one or more layers and the phase information, andwherein the CSI feedback indicates q1and q2by a first combinatorial value and n1and n2by using a second combinatorial value for determining the beam for each of one or more layers where i = 0, ..., ν-1.6.The method of claim 5, wherein the larger number of antenna ports is one of 48, 64, 128.7.The method of claim 5, wherein the first combinatorial value i11 indicates q1and q2where , and .8.The method of claim 5, wherein the second combinatorial value i12 indicates n1and n2, andwherein,andwhere ν∈{1, 2, 3, 4}.9.A user equipment (UE) in a wireless communication system, the UE comprising:a transceiver; anda controller configured to:receive, from a base station, a channel state information (CSI) reporting configuration for type I single-panel CSI feedback, wherein the CSI reporting configuration is for a larger number of antenna ports of a channel state information reference signal (CSI-RS) than 32 antenna ports,determine a precoding matrix based on the CSI reporting configuration, wherein precoding matrix is associated with a CSI feedback for each beam for each of one or more layers and phase information, andtransmit, to the base station, a CSI report including the CSI feedback and the phase information on an uplink channel,wherein the CSI feedback indicates q1and q2by a first combinatorial value and n1and n2by using a second combinatorial value for determining the beam for each of one or more layers where i = 0, ..., ν-1.10.The UE of claim 9, wherein the larger number of antenna ports is one of 48, 64, 128.11.The UE of claim 9, wherein the first combinatorial value i11 indicates q1and q2where , and .12.The UE of claim 9, wherein the second combinatorial value i12 indicates n1and n2, andwherein,andwhere ν∈{1, 2, 3, 4}.13.A base station in a wireless communication system, the base station comprising:a transceiver; anda controller configured to:transmit, to a user equipment (UE), a channel state information (CSI) reporting configuration for type I single-panel CSI feedback, wherein the CSI reporting configuration is for a larger number of antenna ports of a channel state information reference signal (CSI-RS) than 32 antenna ports, andreceive, from the UE, a CSI report including a CSI feedback and phase information on an uplink channel,wherein a precoding matrix corresponding to the CSI reporting configuration is associated with the CSI feedback for each beam for each of one or more layers and the phase information, andwherein the CSI feedback indicates q1and q2by a first combinatorial value and n1and n2by using a second combinatorial value for determining the beam for each of one or more layers where i = 0, ..., ν-1.14.The base station of claim 13, wherein the first combinatorial value i11 indicates q1and q2where , and .15.The UE of claim 9, wherein the second combinatorial value i12 indicates n1and n2, andwherein,andwhere ν∈{1, 2, 3, 4}.

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