Method and apparatus for enhancing CSI feedback for higher number of antenna ports in a wireless communication system

Abstract

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Embodiments herein disclose a method for reporting CSI in a communication system. The method includes receiving by a UE (201) a CSI-Report configuration from a network apparatus (301) to allocate CSI-resources for the UE (201) to measure the CSI. Further, the method includes determining by the UE (201) whether the CSI-Report configuration includes a higher layer parameter codebook Type set to etypeI-Single Panel or etypeI-Multi Panel. Further, the method includes computing by the UE (201) the W associated with the CSI based on the higher layer parameter when the CSI-Report configuration comprises the higher layer parameter codebook Type set to the etypeI-Single Panel or the etypeI-Multi Panel. Further, the method includes transmitting by the UE (201) the W to the network apparatus.

Description

METHOD AND APPARATUS FOR ENHANCING CSI FEEDBACK FOR HIGHER NUMBER OF ANTENNA PORTS IN A WIRELESS COMMUNICATION SYSTEM

[0001] The present disclosure relate to method and apparatus in wireless communication systems. And more particularly, the present disclosure relates to method and apparatus for enhancing Channel statement Information (CSI) feedback for a higher number of antenna ports in a wireless communication system.

[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 (THz) 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 present disclosure relates to method and apparatus for enhancing Channel statement Information (CSI) feedback for a higher number of antenna ports in a wireless communication system.

[0009] According to an aspect of an exemplary embodiment, there is provided a communication method in a wireless communication system.

[0010] Aspects of the present disclosure provide efficient communication methods in a wireless communication system.

[0011] 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:

[0012] FIG. 1 illustrates a block diagram that illustrates a precoder communication architecture to optimize signal transmission over a communication channel according to prior art;

[0013] FIG. 2 illustrates a block diagram of a UE for reporting CSI in a communication system according to the embodiments as disclosed herein;

[0014] FIG. 3 illustrates a block diagram that illustrates a network apparatus for reporting CSI in a communication system according to the embodiments as disclosed herein;

[0015] FIG. 4 illustrates a flowchart that illustrates a method for reporting CSI by the UE according to the embodiments as disclosed herein;

[0016] FIG. 5 illustrates a flowchart that illustrates a method for reporting CSI by the network apparatus according to the embodiments as disclosed herein;

[0017] FIG. 6 illustrates a schematic diagram that illustrates the PMI feedback process according to the embodiments as disclosed herein;

[0018] FIG. 7 illustrates a block diagram of a UE according to various embodiments of the present disclosure; and

[0019] FIG. 8 illustrates a block diagram of a base station or a network entity according to various embodiments of the present disclosure.

[0020] This application is based on and derives the benefit of Indian Provisional Application 202441010773 filed on 15th February, 2024, and Indian Complete Application 202441010773 filed on 24th January, 2025, the contents of which are incorporated herein by reference.

[0021] 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 mutually exclusive, 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 examples should not be construed as limiting the scope of the embodiments herein.

[0022] 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 blocks without departing 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.

[0023] The accompanying drawings are used to help easily understand various technical features and it should be 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 elements should not be limited by these terms. These terms are generally only used to distinguish one element from another.

[0024] 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.

[0025] 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.

[0026] 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. The proposed invention focuses on extension and new framework for CSI feedback for a higher number of ports.

[0027] Wireless communication systems are fundamental to modern connectivity, enabling a wide range of applications from mobile telephony to data-intensive services such as video streaming and online gaming. However, these systems face significant challenges in maintaining reliable data transmission while maximizing spectrum efficiency. One of the primary issues is that existing single antenna systems are particularly vulnerable to signal fading and interference. These vulnerabilities can impact communication quality and data throughput, which have become critical as modern applications demand higher data rates and more reliable connections.

[0028] To mitigate these issues, the use of multiple antennas for transmission and / or reception has been introduced, offering substantial advantages in mobile communication systems. By employing multiple antennas at the 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. Despite these advantages, the implementation of multiple antenna systems is not without its challenges.

[0029] One significant drawback of existing systems is their inability to sufficiently support large antenna arrays with various Channel State Information-Reference Signal (CSI-RS) ports for CSI measurement and reporting. This limitation severely restricts the potential benefits of advanced antenna configurations. As a result, systems that were initially designed for smaller antenna arrays become inefficient and potentially inaccurate when scaled up to larger configurations.

[0030] Another major issue lies in the cost-effectiveness and performance trade-off in fully digital gNodeB (gNB) implementations. While digital processing offers high performance, the existing systems make large-scale implementation financially unfeasible. This constraint has compelled many operators to compromise on the performance potential of their networks.

[0031] Further, 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, which are necessary for future networks. The lack of support for CSI feedback beyond this limit creates a bottleneck in achieving the desired performance improvements.

[0032] Hence it is desirable to address the above mentioned problem and disadvantages or at least provide a useful alternative.

[0033] The principal object of the embodiments herein is to enhance a CSI feedback for a higher number of antenna ports in the communication system.

[0034] Another object of the invention is to provide an enhanced framework that enables CSI reporting for configurations with up to 128 CSI-RS ports.

[0035] Yet another object of the invention is to provide support for both Type I single-panel and Type I multi-panel CSI.

[0036] 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.

[0037] 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 W (101). The precoder (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.

[0038] On the receiver side, the precoder (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 precoder (101) in enhancing signal quality and maximizing spatial diversity or multiplexing gains in a complex wireless communication environment.

[0039] 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 FIG1. 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.

[0040] 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, the 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 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 CQI.

[0041] In an embodiment, the RI indicates the number of transmission layers that the UE considers suitable for downlink transmission.

[0042] In an embodiment, the PMI discloses a suitable W based on the channel conditions and the selected rank.

[0043] In an embodiment, the CQI provides guidance on the optimal channel coding rate and a modulation scheme for the selected precoder matrix.

[0044] The PMI reported by the device corresponds to a specific precoder matrix within a precoder codebook, which is defined on the basis of the number 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 PMI reporting, they 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.

[0045] In an embodiment, 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.

[0046] 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.

[0047] 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).

[0048] 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.

[0049] 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.

[0050] 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 CSI to determine the most suitable matrix, irrespective of the antenna configuration on the network side.

[0051] For Type I single-panel CSI, the precoder matrices (denoted as W) 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 W1is designed to represent the long-term frequency-independent characteristics of the channel. A single W1is chosen and applied across the entire reporting bandwidth, also known as wideband feedback.

[0052] The W2captures more short-term, potentially frequency-dependent channel characteristics and can be selected on a sub-band basis. Alternatively, the UE may choose not to report W2, in which case the network randomly selects it per Physical Resource Block Group (PRG) basis.

[0053] 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:

[0054]

[0055] Where each column of the matrix B defines a beam and the 2 X 2 block structure is due to the two polarizations.

[0056] The W1defines a beam or set of beams, which are characterized by the column vectors within the matrix. In the context of a rank-1 or rank-2 transmission, W1defines either a single beam or a set of four neighboring beams.

[0057] In the scenario of rank 1 or rank 2 transmissions, the W1defines either a single beam or four neighboring beams. When four neighboring beams are selected, each corresponding to a column in the W2then determines the specific beam to be utilized for transmission. The W2can be adjusted on a sub-band basis, allowing for precise tuning of the beam direction for each sub-band. Additionally, the W2ensures proper co-phasing between the two polarizations.

[0058] In the case where the W1defines only a single beam, resulting in ‘B’ 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 . 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.

[0059] 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.

[0060] To overcome the above-said drawback, there is a need for the development of a framework for the CSI feedback. The proposed framework combines multiple legacy frameworks to form a new comprehensive framework that can effectively report the CSI for a higher number of ports. The proposed framework enables effective utilization of large antenna arrays, improving the overall performance and capacity of the wireless network, particularly in dense multi-user environments.

[0061] FIG. 2 is the block diagram of the UE for reporting CSI in a communication system according to the embodiments as disclosed herein. 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.).

[0062] 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.

[0063] The UE (201) includes a processor (202), a memory (203), an I / O interface (204), and a higher CSI-RS ports 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 be limited to a mobile phone, a smartphone, 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 Higher CSI-RS ports controller (205). The processor (202) 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).

[0064] 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 audio streams, video streams, haptic feedbacks, and the like. Also, the memory (203) of the UE (201) can store several information received from at least one of the network apparatus. For example, the memory can store instructions and operational data relating to CSI reporting procedures.

[0065] 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 be limited to the CSI-RS port configuration.

[0066] The higher CSI-RS ports controller (205) communicates with the I / O interface (204) and memory (203) for reporting CSI in a communication system. The higher CSI-RS ports 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.

[0067] The higher CSI-RS ports controller (205) receive the CSI-Report configuration from the network apparatus to allocate CSI-resources for the UE to measure the CSI. Further, the higher CSI-RS ports controller (205) is configured determine whether the CSI-Report configuration includes the higher layer parameter codebook Type set to etypeI-Single Panel or etypeI-Multi Panel. Further, the higher CSI-RS ports controller (205) compute the W associated with the CSI based on the higher layer parameter when the CSI-Report configuration includes the higher layer parameter codebook Type set to the etypeI-Single Panel or the etypeI-Multi Panel. Further, the higher CSI-RS ports controller (205) transmit the W to the network apparatus.

[0068] The W in the higher CSI-RS ports controller (205) includes the W1and the W2as different parts of an PMI. Further, the higher CSI-RS ports controller (205) the W1that is structured to reuse the Type-I SD basis for each or some of NZP CSI-RS resource or port groups. Further, the higher CSI-RS ports controller (205) the W2. The W2is structured to involve the inter-NZP CSI-RS resource or the port group QPSK co-phasing and reusing the Type-I inter-polarization co-phasing per NZP CSI-RS resource or port group. The inter-NZP CSI-RS resource or port group co-phasing to combine different PMIs to form the single W with more than 32 ports.

[0069] The higher CSI-RS ports controller (205) configure the multiple CSI resources such that the sum of all ports in the multiple CSI resources within the same CSI resource set adds up to 64 or 128 ports. Further, the higher CSI-RS ports controller (205) configure the multiple CSI resources such that each slot can have one or multiple CSI resources. Further, the higher CSI-RS ports controller (205) set the time restriction of multiple CSI resources to be from {0, 1,.. 5} slots.

[0070] The higher CSI-RS ports controller (205) determine the total number of ports required for the configuration of the UE. Further, the higher CSI-RS ports controller (205) configure the plurality of CSI resources. Each CSI resource of the plurality of CSI resources includes the specific number of ports. The number of CSI resources and the number of ports per CSI resource are based on the total number of ports required. Further, the higher CSI-RS ports controller (205) associate the CSI resource with the CSI type I report in the CSI-Report configuration. Further, the higher CSI-RS ports controller (205) generate the single CSI report for all CSI resources. The single CSI report corresponds to the common weighting factor W1across all the CSI resources.

[0071] The common weighting factor W1 in the higher CSI-RS ports controller (205) is applied uniformly across all the CSI resources for generating the single CSI report for each of the CSI resources. By leveraging the common weighting factor W1, the higher CSI-RS ports controller (205) can simplify the reporting process, reducing the computational complexity and improving the efficiency of the overall system.

[0072] Further, the higher CSI-RS ports controller (205) is designed to handle dynamic changes in the network environment. It can adapt to varying conditions by reconfiguring the CSI resources and adjusting the weighting factors as needed. This adaptability is essential for maintaining optimal performance in diverse and fluctuating network scenarios. The ability to reconfigure CSI resources on-the-fly allows the higher CSI-RS ports controller (205) to respond promptly to changes in user demand, interference levels, and other network parameters, ensuring that the UE always has the best possible connection quality

[0073] The higher CSI-RS ports controller (205) detects that the restricted CMR-Selection is configured by the network apparatus. Further, the higher CSI-RS ports controller (205) selects the number of CSI-RS resources when the UE is configured with the restricted CMR-Selection. The higher CSI-RS ports controller (205) reports the selected number of CSI-RS resources to the network apparatus using the bitmap. The CSI-RS resources are mapped from bit b1to bit bKin the bitmap.

[0074] The higher CSI-RS ports controller (205) determines the number of layers for the type I feedback. Further, the higher CSI-RS ports controller (205) varies the W1based on the number of layers. The higher CSI-RS ports controller (205) applies the W1for resource-wise feedback for two resource feedbacks or four resource feedbacks. This dynamic adjustment ensures that the feedback mechanism remains efficient and responsive to the varying network conditions and requirements, thereby optimizing the overall performance and reliability of the communication system.

[0075] The higher CSI-RS ports controller (205) determines the type I inter-polarization co-phasing across resources with respect to the first resource. Further, the higher CSI-RS ports controller (205) determines the inter-resource QPSK co-phasing across resources with respect to the first resource. The higher CSI-RS ports controller (205) reports the W2for two resource feedbacks or four resource CSI feedbacks. This detailed reporting mechanism allows the network apparatus to accurately interpret the feedback and make necessary adjustments to enhance the quality of service.

[0076] The W in the UE (201) includes the W1and the W2as different parts of the PMI. Further, the higher CSI-RS ports controller (205) in the UE (201) includes the W1. The W1is designed to reuse a Type-I SD basis for each or some of the NZP CSI-RS resources or port groups. The higher CSI-RS ports controller (205) in the UE (201) also includes the W2. The W2is structured to involve the inter-NZP CSI-RS resource or the port group QPSK co-phasing and reusing a Type-I inter-polarization co-phasing per NZP CSI-RS resource or port group. The inter-NZP CSI-RS resource or port group co-phasing combines different PMIs to form a single W with more than 32 ports. This sophisticated co-phasing technique ensures that the signal integrity and strength are maintained across different resources, leading to a more robust and efficient communication link.

[0077] The higher CSI-RS ports controller (205) in the UE (201) configures multiple CSI resources such that the sum of all ports in the multiple CSI resources within the same CSI resource set adds up to 64 or 128 ports. The higher CSI-RS ports controller (205) in the UE (201) configures multiple CSI resources such that each slot can have one or multiple CSI resources. The higher CSI-RS ports controller (205) in the UE (201) sets the time restriction of multiple CSI resources to be from {0, 1,.. 5} slots. This flexible configuration allows the system to adapt to different traffic demands and network conditions, ensuring optimal resource utilization and minimizing latency.

[0078] The higher CSI-RS ports controller (205) in the UE (201) determines the total number of ports required for the configuration of the UE. Further, the UE configures a plurality of CSI resources. Each CSI resource of the plurality of CSI resources includes a specific number of ports. The number of CSI resources and the number of ports per CSI resource are based on the total number of ports required. Further, the UE associates each CSI resource with a CSI type I report in the CSI-Report configuration. The UE generates a single CSI report for all CSI resources. The single CSI report corresponds to the common weighting factor W1across all the CSI resources. This unified reporting mechanism simplifies the feedback process and ensures consistency in the reported data, facilitating more effective network management and optimization.

[0079] The higher CSI-RS ports controller (205) in the UE (201) is detect that the restricted CMR-Selection is configured by the network apparatus. Further, the UE selects the number of CSI-RS resources when the UE is configured with a restricted CMR-Selection. The UE reports the selected number of CSI-RS resources to the network apparatus using the bitmap. The CSI-RS resources are mapped from bit b1to bit bKin the bitmap. This mapping process ensures that the network apparatus can accurately interpret the resource allocation and make necessary adjustments to optimize the network performance.

[0080] The higher CSI-RS ports controller (205) in the UE (201) determines the number of layers for the type I feedback. Further, the UE (201) varies the W1based on the number of layers. The UE applies the W1for resource-wise feedback for two resource feedbacks or four resource feedbacks. This adaptive feedback mechanism ensures that the system can efficiently handle varying network conditions and maintain high-quality communication links.

[0081] The higher CSI-RS ports controller (205) in the UE (201) determines the type I inter-polarization co-phasing across resources with respect to the first resource. Further, the UE (201) determines the inter-resource QPSK co-phasing across resources with respect to the first resource. The UE (201) reports the W2for two resource feedbacks or four resource CSI feedbacks. This comprehensive feedback mechanism ensures that the network apparatus receives detailed and accurate information, enabling it to make informed decisions to optimize the network performance.

[0082] FIG. 3 is the block diagram that illustrates a network apparatus (301) for reporting CSI in a communication system, according to the embodiments as disclosed herein.

[0083] The network apparatus (501) includes various hardware and software components that facilitate communication between user equipment and network infrastructure. Examples of the network apparatus (501) 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 higher CSI-RS ports 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 higher CSI-RS ports controller (305). The processor (302) 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 higher CSI-RS ports controller (305) communicates with the I / O interface (304) and memory (303) for reporting CSI in a communication system. The higher CSI-RS ports 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 higher CSI-RS ports controller (305) of the network apparatus (301).

[0088] The higher CSI-RS ports controller (305) in the network apparatus (301) is coupled to the memory (303) and the processor (302). The higher CSI-RS ports controller (305) generates the CSI-Report configuration by configuring the higher layer parameter codebook Type to etypeI-Single Panel or etypeI-Multi Panel. Further, the higher CSI-RS ports controller (305) transmits the CSI-Report configuration to the UE (201). The CSI-Report configuration is configured by the network apparatus (301) to allocate CSI-resources for the UE (201) to measure the CSI. Further, the higher CSI-RS ports controller (305) receives the W associated with the CSI based on the higher layer parameter.

[0089] The higher CSI-RS ports controller (305) obtains the type I feedback comprising vectors from the DFT matrix. The higher CSI-RS ports controller (305) reconstructs the PMI based on the W. The W includes the W1and the W2. The W1represents the wide band DFT beam having the highest energy from the DFT matrix. The W2represents sub-band-wise co-phasing across polarization.

[0090] The W in the network apparatus (301) includes the W1and the W2as different parts of the PMI. Further, the W1in the network apparatus (301) is structured to reuse the Type-I SD basis for each or some of the NZP CSI-RS resources or port groups. Additionally, the W2in the network apparatus (301) is structured to involve the inter-NZP CSI-RS resource or the port group QPSK co-phasing and reusing the Type-I inter-polarization co-phasing per NZP CSI-RS resource or port group. The inter-NZP CSI-RS resource or port group co-phasing combines different PMIs to form the W with more than 32 ports.

[0091] In the context of modern wireless communication systems, the efficient allocation and management of the CSI resources for optimizing network performance. The higher CSI-RS ports controller (305) plays a pivotal role in this process by ensuring that the CSI-Report configuration is accurately generated and transmitted to the UE (201). This configuration allows the UE to measure the CSI effectively, which is essential for maintaining high data throughput and reliable communication links. By configuring the higher layer parameter codebook Type to either etypeI-Single Panel or etypeI-Multi Panel, the network apparatus (301) can adapt to varying network conditions and user requirements, thereby enhancing overall network efficiency.

[0092] Further, the reconstruction of the Precoding Matrix Indicator (PMI) based on the vectors from the Discrete Fourier Transform (DFT) matrix is a sophisticated process that significantly impacts the quality of the transmitted signal. The higher CSI-RS ports controller (305) meticulously reconstructs the PMI by leveraging the components W1and W2. The W1component, representing the wide band DFT beam with the highest energy, ensures that the signal is transmitted with optimal power and directionality. On the other hand, the W2component, which deals with sub-band-wise co-phasing across polarization, ensures that the signal maintains its integrity and coherence across different transmission paths. This dual-component approach allows for a more robust and adaptive transmission strategy, catering to the dynamic nature of wireless communication environments.

[0093] Furthermore, the reuse of the Type-I SD basis and the implementation of inter-NZP CSI-RS resource or port group QPSK co-phasing highlight the advanced techniques employed to maximize the efficiency of the network. By reusing the Type-I SD basis for various NZP CSI-RS resources or port groups, the network apparatus (301) can reduce redundancy and improve resource utilization. The inter-NZP CSI-RS resource or port group co-phasing, which combines different PMIs to form the W with more than 32 ports, exemplifies the network's capability to handle complex transmission scenarios involving multiple antennas and polarization states. This intricate co-phasing mechanism ensures that the transmitted signal is optimized for both power and coherence, thereby enhancing the overall performance and reliability of the wireless communication system.

[0094] FIG. 4 is a flowchart that illustrates a method for reporting CSI by the UE (201), according to the embodiments as disclosed herein. At step 401, the method includes receiving by the UE (201) the CSI-Report configuration from the network apparatus (301) to allocate CSI-resources for the UE (201) to measure the CSI. At step 402, the method includes determining by the UE (201) whether the CSI-Report configuration includes the higher layer parameter codebook Type set to etypeI-Single Panel or etypeI-Multi Panel. At step 403, the method includes computing by the UE (201) the W associated with the CSI based on the higher layer parameter when the CSI-Report configuration includes the higher layer parameter codebook Type set to the etypeI-Single Panel or the etypeI-Multi Panel. At step 404, the method includes transmitting by the UE (201) the W to the network apparatus (301).

[0095] FIG.5 is a flowchart that illustrates a method for reporting CSI by the network apparatus (301), according to the embodiments as disclosed herein. At step 501, the method includes generating by the network apparatus (301) the CSI-Report configuration by configuring the higher layer parameter codebook Type to etypeI-Single Panel or etypeI-Multi Panel. At step 502, the method includes transmitting by the network apparatus (301) the CSI-Report configuration to the UE (201). The CSI-Report configuration is configured by the network apparatus (301) to allocate CSI-resources for the UE (201) to measure the CSI. At step 503, the method includes receiving by the network apparatus (301) the W associated with the CSI based on the higher layer parameter.

[0096] In an embodiment, the present invention discloses the method for reporting CSI includes configuring the antenna array by increasing the number of CSI-RS ports for CSI reporting up to 128 CSI-RS ports. The present invention enables single point transmissions using the antenna array with an increased number of CSI-RS ports and facilitates measuring and reporting of CSI for these transmissions.

[0097] In the present invention, the network configures the UE (201) with CSI resources and associated parameters through higher-layer signaling, specifically the Radio Resource Control (RRC) signaling. The configuration includes the CSI-Report configuration, where the network defines various parameters related to the CSI report to be sent back to the base station (BS). The configuration is done with the help of a set of configurable parameters that enable the UE (201) to select the most appropriate W matrix for the CSI feedback.

[0098] For CSI configuration, the method includes receiving higher layer signaling using Radio Resource Control (RRC) from the network apparatus (301). This signaling configuration configures CSI resources that enable the UE (201) to perform channel measurements. The network apparatus (301) provides a CSI-Report configuration that includes parameters related to CSI reporting and / or codebookType. In other words, when the UE (201) is configured with the higher layer parameter codebookType set to "etypeI-SinglePanel" in the CSI-Report configuration, the UE (201) computes the matrix associated with CSI-type I and transmits this matrix to the network apparatus.

[0099] Further, for configurations with 64 or 128 ports, multiple CSI resources are configured in such a way that the sum of the ports across these CSI resources adds up to 64 or 128. The configuration ensures that the total number of ports in all the resources associated with ‘etypeI’ report is consistent and matches the port count specified in the report configuration. In addition, the multiple CSI resources may be configured in such a way that each slot may contain one or more CSI resources. The network assigns time restrictions for the multiple slots to confirm that channel coherence is maintained across the slots, which depends on the speed of the UE (201) and the specific scenario the UE (201) is in. The time restriction of multiple CSI resources can be from {0,1..5}.

[0100] In other words, for 64 ports and 128 ports, multiple CSI resources are configured such that the sum of all ports in multiple CSI resources are in same CSI resource set adds up to 64 or 128 ports and number of ports are same all the configured resources associated with type I report This multiple resources are configured such that each slot can have one or multiple CSI resources. The time restriction of multiple slots such that Channel coherence is maintained across slots depends on speed of UE (201) and scenario UE (201) is in. The time restriction of multiple CSI resources can be from {0,1..5}.

[0101] The number of CSI resources to be configured depends on the total number of ports and the configuration provided to the UE (201). For example, the UE (201) is configured with 2 or 4 CSI resources, each with 32 ports, resulting in 64 or 128 ports, respectively. The UE (201) determines the number of layers for a Type I feedback and varies the W1based on the number of layers. The CSI resources are associated with the CSI Type I report in the CSI-Report configuration, and the UE (201) applies the W1for resource-wise feedback for two or four resource feedbacks. The UE (201) then provides feedback to the BS with a single report corresponding to each CSI resource and ensures a common W1matrix across all the resources.

[0102] Further, the UE (201) configured with a CSI-ReportConfig with the higher layer parameter reportQuantity set to "cri-RI-PMI-CQI" and codebookType set to "etype I" or some other name with the same functionality can be configured with 1≤K≤4 CSI-RS resources in a resource set for channel measurement.

[0103] When the UE (201) is configured with the CSI-ReportConfig with the higher layer parameter reportQuantity set to "cri-RI-PMI-CQI" and codebookType set to "etype I" or some other name with the same functionality, it may be configured with 1 to 4 CSI-RS resources for the channel measurement.

[0104] For example, if the UE (201) is configured with 4 antenna ports {3000, 3001, 3003}, 8 antenna ports {3000, 3001, 3007}, 12 antenna ports {3000, 3001, 3011}, 16 antenna ports {3000, 3001, 3015}, 24 antenna ports {3000, 3001, 3023}, and 32 antenna ports {3000, 3001, 3031} per CSI-RS resource, and the UE (201) is configured with 1≤K≤4 CSI-RS resources in a resource set for channel measurement and with the higher layer parameter codebookType set to "etype I".

[0105] In other words, the UE (201) may be configured with 1 to 4 CSI-RS resources in a resource set for channel measurement, with the codebookType set to ‘etypeI’. Further, the values of N1, N2 and O1, O2 are the same for all N CSI-RS resources and configured with the higher layer parameter. The number of CSI-RS ports, PCSI-RS, is 2N1N2for each of the N CSI-RS resources. N1and N2are Logical digital ports and their configuration can vary.

[0106] The network may configure the UE (201) with the higher-layer parameter restrictedCMR-Selection. If restrictedCMR-Selection is configured, the number of selected CSI-RS resources is N0=K. Otherwise, the UE (201) is expected to select N0CSI-RS resources, with 1≤N0≤K, and the selection is reported with an NCSI-bit bitmap, bK, …,b1, where the CSI-RS resources are mapped from bit b1to bit bKby their ordering in the resource set and the first of the N0selected CSI-RS resources corresponds to the nonzero bit with lowest index.

[0107] Additionally, When the UE (201) is configured with the restricted CMR-Selection RRC parameter, the UE (201) will utilize all available resources in the calculation of the precoder matrix. However, if this parameter is not configured, the UE (201) only select resources between 1 to K to form the precoder matrix. In this case, not all resources will be used, and the UE (201) will report the bitmap to the BS indicating the selected resources.

[0108] When configured with restrictedCMR-Selection, the UE (201) detects that the restrictedCMR-Selection is configured by the network apparatus. Upon detection, the UE (201) selects the specified number of CSI-RS resources and reports the selected number of CSI-RS resources to the network apparatus (301) using the bitmap. In the bitmap, the CSI-RS resources are mapped from bit b1to bit bKin the bitmap, based on their ordering in the resource set.

[0109] FIG. 6 is the schematic diagram that illustrates the PMI feedback process, according to the embodiments as disclosed herein. The PMI feedback process involves choosing the beams and aligning their phases for optimal signal quality.

[0110] Initially, a beam pattern (501) is created using the DFT. The beam pattern represents various possible directions in which the signal may be transmitted. The beam pattern (501) represent the possible eigen-vectors projected onto the DFT matrix.

[0111] For wideband beam selection (602), the beam pattern (602) is selected by selecting the best beam directions that carry the most energy. This is done by the W1matrix, which selects the best beam directions (b0, b1, b2, b3) to find the ones that provide the best coverage.

[0112] After selecting the best beams, a sub-band co-phasing W2matrix is applied to refine the beam pattern. Further, this process involves a beam selection (504) and a co-phase selection (φ) (505).The beam selection (504) refers to the process of choosing the best single beam from a set of available beams based on the channel conditions, while the co-phase selection (φ) (505) refers to adjusting the phase of the signals across multiple antenna elements to create a focused, coherent beam, essentially aligning the phases of the selected beam to maximize signal strength at the receiver. Both the beam selection (504) and the co-phase selection (φ) (505) functions are typically communicated through the PMI feedback from the UE (201) to the base station (BS) to optimize downlink transmission. The final precoding vector (as disclosed in FIG.5) is defined as a combination of the beam selection (504) and the co-phasing term (φ) (505). The output w = [bi, φbi] represents how the beam selection and co-phasing are combined in the final precoding matrix.

[0113] The PMI reconstruction at BS station is represented as

[0114] W=W1×W2

[0115] Where, W1 is a wide band DFT beam having highest energy from DFT matrix, and W2 is sub-band wise co-phasing across polarization. Depending on number of layers to be feedback W1can vary.

[0116] The W includes W1and the W2as distinct components of the PMI. The W1reuse a Type-I SD basis for one or more inter- NZP CSI-RS resources or port groups. The W2is designed for inter-NZP CSI-RS resource or port group QPSK co-phasing and reuses Type-I inter-polarization co-phasing per NZP CSI-RS resource or port group. This co-phasing combines different PMIs into a single W supporting more than 32 ports.

[0117] Further, the UE (201) determines Type-I inter-polarization co-phasing across resources with respect to the first resource and inter-resource QPSK co-phasing with respect to the same first resource. The UE (201) then reports the W2to the network for either two-resource feedbacks or four-resource CSI feedbacks. This approach ensures efficient resource utilization and enhances precoding flexibility by enabling the use of a unified W2matrix across multiple resources.

[0118] In an embodiment, the general equation of precoder matrix ‘W’ for resource wise feedback for two resource feedback. For example, the W for 64 CSI-RS ports is defined as:

[0119]

[0120] Where, ∈N1O1N2O2orthogonal DFT beams

[0121] θi=Cophasing across polarization

[0122] φi,j=Cophasing across resources between resources 1 and j for layer i

[0123] i∈1,2,3,4 layers, j ∈2,3,4 resources

[0124] b1= represents the first polarization

[0125] θ1b1= represents the second polarization within the same resource

[0126] In the 64 CSI-RS ports, two CSI reports are utilized. The first resource set consists of 32 ports, and the second resource set also consists of 32 ports. This configuration utilizes a matrix structure with four columns, each corresponding to different ranks and directions (b1-b4).

[0127] Additionally, the first resource set includes 32 ports that are divided into 16 ports dedicated to the first polarization and 16 ports dedicated to the second polarization. This dual-polarization structure enables efficient spatial multiplexing while maintaining precise phase control.

[0128] In an embodiment, another phasing term is introduced to introduce a phase shift of 180oamong layers. For example, the W for another 64 CSI-RS ports is defined as,

[0129]

[0130] where, b1, b2, b3, and b4= beam direction

[0131] ρi=ejπk / 2, k=0,1,i ∈ {1,2,3,4}

[0132] The W for the 64-port configuration implements the structured approach using two CSI resources. The first resource set consists of 32 ports, and the second resource set also consists of 32 ports. The W includes four rows, with the first two rows corresponding to the first CSI resource and the remaining two rows corresponding to the second CSI resource.

[0133] The first CSI resource configuration allows for defined control over signal magnitude and phase with direct and phase-adjusted beams. The second CSI resource represents additional phase terms to coordinate between the two resources and ensures coherent operation across all 64 ports while maintaining independent control over each beam direction.

[0134] In an embodiment, where k=4 resources are used for resource wise feedback and the precoder matrix is given as:

[0135]

[0136] Where bi∈N1N2O1O2orthogonal DFT beams

[0137] θi=Cophasing across polarization

[0138] φi,j=Cophasing across resources between resources 1 and j for layer i

[0139] i∈1,2,3,4 layers, j ∈2,3,4 resources

[0140] θn=ejπn / r1r1=2,4,8,16 & n=0,1….. r1-1

[0141] φp=ejπp / r2r2= 2,4,8,16 & p=0,1….. r2-1,

[0142] Where, θnand φpreported for each k resource and i layers.

[0143] In another embodiment, another phasing term is introduced to introduce the phase shift of 180oamong layers. The W is determined as follows:

[0144]

[0145] Where, bi∈N1O1N2O2 orthogonal DFT beams

[0146] θi=Cophasing across polarization

[0147] φi,j=Cophasing across resources between resources 1 and j for layer i

[0148] i∈1,2,3,4 layers, j ∈2,3,4 resources

[0149] ρi=ejπk / 2k=0,1,i ∈ {1,2,3,4}

[0150] Where bi=vl,m

[0151]

[0152] i∈1,2,3,4 layers, l∈N1O1, m∈N2O2

[0153] N1, N2are digital virtual ports configured by BS to UE in horizontal and vertical direction

[0154] O1, O2are over sampling vector for horizontal and vertical direction configured by BS to UE

[0155] umis the DFT vector in vertical direction, which is 1 if number of antenna ports in set to 1

[0156] The values of N1, and N2are configured with the higher layer parameter n1-n2, respectively. The supported configurations of O1, O2for a given number of CSI-RS ports and the corresponding values of are given as per legacy table 1

[0157] θn=ejπn / r1r1=2,4,8,16 & n=0,1….. r1-1

[0158] φp=ejπp / r2r2= 2,4,8,16 & p=0,1….. r2-1

[0159] The θnand φpreported for each k resource and i layers

[0160] In an embodiment, the UE (201) is not expected to be configured with ‘e-type I’ CSI feedback when the number of ports per resource is less than or equal to a Pthresh, where the Pthreshis defined as {1, 4, 8, 16, 32}.

[0161] In an embodiment, the UE (201) is not expected to be configured with ‘e-type I’ CSI feedback when number of resources K is equal to 1.

[0162] The proposed implementation considers that the support of e-typeI is subject to the UE (201) capability and the number of CSI resources K that can be the UE (201) is up to the UE (201) capability. The configuration framework ensures efficient resource utilization while maintaining compatibility with the UE (201) capabilities.

[0163] FIG. 7 illustrates a block diagram of a UE according to various embodiments of the present disclosure. Furthermore, the UE of FIG. 7 corresponds to the UE of FIG. 2.

[0164] As shown in FIG. 7, the UE according to an embodiment may include a transceiver 710, a memory 720, and a processor 730. The transceiver 710, the memory 720, and the processor 730 of the UE may operate according to a communication method of the UE described above. However, the components of the UE are not limited thereto. For example, the UE may include more or fewer components than those described above. In addition, the processor 730, the transceiver 710, and the memory 720 may be implemented as a single chip. Also, the processor 730 may include at least one processor.

[0165] The transceiver 710 collectively refers to a UE receiver and a UE transmitter, and may transmit / receive a signal to / from a base station or a network entity. The signal transmitted or received to or from the base station or a network entity may include control information and data. The transceiver 710 may include a RF transmitter for up-converting and amplifying a frequency of a transmitted signal, and a RF receiver for amplifying low-noise and down-converting a frequency of a received signal. However, this is only an example of the transceiver 710 and components of the transceiver 710 are not limited to the RF transmitter and the RF receiver.

[0166] Also, the transceiver 710 may receive and output, to the processor 730, a signal through a wireless channel, and transmit a signal output from the processor 730 through the wireless channel.

[0167] The memory 720 may store a program and data required for operations of the UE. Also, the memory 720 may store control information or data included in a signal obtained by the UE. The memory 720 may be a storage medium, such as read-only memory (ROM), random access memory (RAM), a hard disk, a CD-ROM, and a DVD, or a combination of storage media.

[0168] The processor 730 may control a series of processes such that the UE operates as described above. For example, the transceiver 710 may receive a data signal including a control signal transmitted by the base station or the network entity, and the processor 730 may determine a result of receiving the control signal and the data signal transmitted by the base station or the network entity.

[0169] FIG. 8 illustrates a block diagram of a base station or a network entity according to various embodiments of the present disclosure. Furthermore, the base station or the network entity of FIG. 8 corresponds to the network apparatus of FIG. 3.

[0170] As shown in FIG. 8, the base station(or the network entity receiver) according to an embodiment may include a transceiver 810, a memory 820, and a processor 830. The transceiver 810, the memory 820, and the processor 830 of the base station(or the network entity receiver) may operate according to a communication method of the base station(or the network entity receiver) described above. However, the components of the base station(or the network entity receiver) are not limited thereto. For example, the base station may include more or fewer components than those described above. In addition, the processor 830, the transceiver 810, and the memory 820 may be implemented as a single chip. Also, the processor 830 may include at least one processor.

[0171] The transceiver 810 collectively refers to the base station(or the network entity receiver) and a base station(or the network entity) transmitter, and may transmit / receive a signal to / from a terminal or a network entity or a base station. The signal transmitted or received to or from the terminal or a network entity or the base station may include control information and data. The transceiver 810 may include a RF transmitter for up-converting and amplifying a frequency of a transmitted signal, and a RF receiver for amplifying low-noise and down-converting a frequency of a received signal. However, this is only an example of the transceiver 810 and components of the transceiver 810 are not limited to the RF transmitter and the RF receiver.

[0172] Also, the transceiver 810 may receive and output, to the processor 830, a signal through a wireless channel, and transmit a signal output from the processor 830 through the wireless channel.

[0173] The memory 820 may store a program and data required for operations of the base station(or the network entity receiver). Also, the memory 820 may store control information or data included in a signal obtained by the base station. The memory 820 may be a storage medium, such as read-only memory (ROM), random access memory (RAM), a hard disk, a CD-ROM, and a DVD, or a combination of storage media.

[0174] The processor 830 may control a series of processes such that the base station(or the network entity receiver) operates as described above. For example, the transceiver 810 may receive a data signal including a control signal transmitted by the terminal or the network entity or the base station, and the processor 830 may determine a result of receiving the control signal and the data signal transmitted by the terminal or the network entity or the base station.

[0175] The proposed framework for CSI feedback offers an advanced solution for configuring and reporting CSI resources in a wireless communication network. By enabling the configuration of multiple CSI resources with varying port counts, the system can accommodate larger antenna arrays and maintain efficient CSI reporting across different scenarios. The proposed framework improves the overall performance of the by facilitating precise channel measurements and allowing for optimal precoder selection for transmission, paving the way for enhanced performance in future wireless networks.

[0176] In an aspect, the objectives are achieved by providing a method for reporting CSI in a communication system. Further, the method includes receiving by a User Equipment (UE) a CSI-Report configuration from a network apparatus to allocate CSI-resources for the UE to measure the CSI. Further, the method includes determining by the UE whether the CSI-Report configuration includes a higher layer parameter codebook Type set to etypeI-Single Panel or etypeI-Multi Panel. Further, the method includes computing by the UE an optimal precoder matrix (W) associated with the CSI based on the higher layer parameter when the CSI-Report configuration includes the higher layer parameter codebook Type set to the etypeI-Single Panel or the etypeI-Multi Panel. Further, the method includes transmitting by the UE the W to the network apparatus.

[0177] In another aspect, the objectives are achieved by providing a method for enhancing the CSI in a wireless communication system. Further, the method includes generating by a network apparatus a CSI-Report configuration by configuring a higher layer parameter codebook Type to etypeI-Single Panel or etypeI-Multi Panel. Further, the method includes transmit by the network apparatus the CSI-Report configuration to a UE. The CSI-Report configuration is configured by the network apparatus to allocate CSI-resources for the UE to measure the CSI. Further, the method includes receiving by the network apparatus an W associated with the CSI based on the higher layer parameter.

[0178] In yet another aspect, the objectives are achieved by providing a UE for reporting CSI in a communication system. Further, the UE includes a memory, a processor, and a higher CSI-RS ports controller. The higher CSI-RS ports controller is coupled to the memory and the processor. The higher CSI-RS ports controller receives a CSI-Report configuration from a network apparatus to allocate CSI-resources for the UE to measure the CSI. The higher CSI-RS ports controller determines whether the CSI-Report configuration includes a higher layer parameter codebook Type set to etypeI-Single Panel or etypeI-Multi Panel. The higher CSI-RS ports controller computes a W associated with the CSI based on the higher layer parameter when the CSI-Report configuration includes the higher layer parameter codebook Type set to the etypeI-Single Panel or the etypeI-Multi Panel. The higher CSI-RS ports controller transmits the W to the network apparatus.

[0179] In yet another aspect, the objectives are achieved by providing a network apparatus for reporting CSI in a communication system. The network apparatus includes a memory, a processor, and a higher CSI-RS ports controller. The higher CSI-RS ports controller is coupled to the memory and the processor. The higher CSI-RS ports controller generates a CSI-Report configuration by configuring a higher layer parameter codebook Type to etypeI-Single Panel or etypeI-Multi Panel. The higher CSI-RS ports controller transmits the CSI-Report configuration to a UE. The CSI-Report configuration is configured by the network apparatus to allocate CSI-resources for the UE to measure the CSI. The higher CSI-RS ports controller receives an W associated with the CSI based on the higher layer parameter.

[0180] 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.

[0181] 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 modifications should and 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), the method comprising:receiving, from a network apparatus, a channel state information (CSI)-Report configuration to allocate CSI-resources for the UE to measure the CSI;determining whether the CSI-Report configuration comprises a higher layer parameter codebook Type set to etypeI-Single Panel or etypeI-Multi Panel;computing an optimal precoder matrix (W) associated with the CSI based on the higher layer parameter when the CSI-Report configuration comprises the higher layer parameter codebook Type set to the etypeI-Single Panel or the etypeI-Multi Panel; andtransmitting, to the network apparatus, the W.2.The method of claim 1, wherein the W comprises a first weight matrix (W1) and a second weight matrix (W2) as different parts of an PMI in which:the W1is structured to reuse a Type-I Spatial Domain (SD) basis for each or some of inter-Non-Zero Power Channel State Information Reference Signal (NZP CSI-RS) resource or port groups; andthe W2is structured to involve an inter-NZP CSI-RS resource or a port group Quadrature phase shift keying (QPSK) co-phasing and reusing a Type-I inter-polarization co-phasing per NZP CSI-RS resource or port group, wherein the inter-NZP CSI-RS resource or port group co-phasing to combine different PMIs to form a single W with more than 32 ports.3.The method of claim 1, comprising:configuring multiple CSI resources such that a sum of all ports in the multiple CSI resources within a same CSI resource set adds up to 64 or 128 ports;configuring the multiple CSI resources such that each slot can have one or multiple CSI resources; andsetting a time restriction of multiple CSI resources to be from {0, 1,.. 5} slots.4.The method of claim 1, comprising:determining a total number of ports required for the configuration of the UE;configuring a plurality of CSI resources, wherein each CSI resource of the plurality of CSI resources comprises a specific number of ports, wherein the number of CSI resources and the number of ports per CSI resource are based on the total number of ports required;associating each CSI resource with a CSI type I report in the CSI-Report configuration; andgenerating a single CSI report for all CSI resources, wherein the single CSI report corresponds to a common weighting factor W1across all the CSI resources.5.The method of claim 4, wherein the common weighting factor W1 is applied uniformly across all the CSI resources for generating the single CSI report for each of the CSI resources.6.The method of claim 1, comprising:detecting a restricted CMR-Selection is configured by the network apparatus;selecting a number of CSI-RS resources, when the UE (201) is configured with a restricted CMR-Selection; andreporting, to the network apparatus, the selected number of CSI-RS resources by using a bitmap, wherein the CSI-RS resources are mapped from from a bit b1to a bit bKin the bitmap.7.The method of claim 2, comprising:determining a number of layers for a type I feedback;varying the first weight matrix (W1) based on the number of layers; andapplying the first weight matrix (W1) for resource-wise feedback for two resource feedbacks or four resource feedback.8.The method of claim 2, comprising:determining the type I inter-polarization co-phasing across resources with respect to a first resource;determining inter-resource QPSK co-phasing across resources with respect to the first resource; andreporting the second weight matrix (W2) for two resource feedbacks or four resource CSI feedback.9.A method performed by a network apparatus in a wireless communication system, the method comprising:generating a channel state information(CSI)-Report configuration by configuring a higher layer parameter codebook Type to etypeI-Single Panel or etypeI-Multi Panel;transmitting, to a user equipment (UE), the CSI-Report configuration, wherein the CSI-Report configuration is configured by the network apparatus to allocate CSI-resources for the UE to measure the CSI; andreceiving an W associated with the CSI based on the higher layer parameter.10.The method of claim 9, comprising:obtaining a type I feedback comprising vectors from a discrete Fourier transform (DFT) matrix; andreconstructing a PMI based on the W comprising a first weight matrix (W1) and a second weight matrix (W2), andwherein the first weight matrix (W1) represents a wide band DFT beam having the highest energy from the DFT matrix; andwherein the second weight matrix (W2) represents sub-band-wise co-phasing across polarization.11.The method of claim 10, wherein the W comprises a first weight matrix (W1) and a second weight matrix (W2) as different parts of an PMI in which:the first weight matrix (W1) is structured to reuse a Type-I Spatial Domain (SD) basis for each or some of inter-Non-Zero Power Channel State Information Reference Signal (NZP CSI-RS) resource or port groups; andthe W2is structured to involve the inter-NZP CSI-RS resource or a port group Quadrature phase shift keying (QPSK) co-phasing and reusing a Type-I inter-polarization co-phasing per NZP CSI-RS resource or port group, wherein the inter-NZP CSI-RS resource or port group co-phasing to combine different PMIs to form the single W with more than 32 ports.12.A user equipment (UE) in a wireless communication system, comprising:a memory;a processor; anda higher CSI-RS ports controller, coupled to the memory and the processor, wherein the higher CSI-RS ports controller configured to:receives, from a network apparatus, a CSI-Report configuration to allocate CSI-resources for the UE to measure the CSI;determines whether the CSI-Report configuration comprises a higher layer parameter codebook Type set to etypeI-Single Panel or etypeI-Multi Panel;computes an optimal precoder matrix (W) associated with the CSI based on the higher layer parameter when the CSI-Report configuration comprises the higher layer parameter codebook Type set to the etypeI-Single Panel or the etypeI-Multi Panel; andtransmits, to the network apparatus, the W.13.The UE claim 12, wherein the W comprises a first weight matrix (W1) and a second weight matrix (W2) as different parts of an PMI in which:the W1 is structured to reuse a Type-I Spatial Domain (SD) basis for each or some of inter-Non-Zero Power Channel State Information Reference Signal (NZP CSI-RS) resource or port groups; andthe W2 is structured to involve an inter-NZP CSI-RS resource or a port group Quadrature phase shift keying (QPSK) co-phasing and reusing a Type-I inter-polarization co-phasing per NZP CSI-RS resource or port group, wherein the inter-NZP CSI-RS resource or port group co-phasing to combine different PMIs to form a single W with more than 32 ports.14.The UE of claim 12, wherein the higher CSI-RS ports controller configured to:configures multiple CSI resources such that a sum of all ports in the multiple CSI resources within a same CSI resource set adds up to 64 or 128 ports;configures the multiple CSI resources such that each slot can have one or multiple CSI resources; andsets a time restriction of multiple CSI resources to be from {0, 1,.. 5} slots.15.A network apparatus in a wireless communication system, comprising:a memory;a processor; anda higher CSI-RS ports controller, coupled to the memory and the processor, wherein the higher CSI-RS ports controller configured to:generates a CSI-Report configuration by configuring a higher layer parameter codebook Type to etypeI-Single Panel or etypeI-Multi Panel;transmits, to a user equipment (UE), the CSI-Report configuration, wherein the CSI-Report configuration is configured by the network apparatus to allocate CSI-resources for the UE to measure the CSI; andreceives the W associated with the CSI based on the higher layer parameter.

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