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WO-2026095517-A1 - METHOD AND APPARATUS FOR RECIPROCITY-BASED UL TRANSMISSION FOR MULTIPLE PORT GROUPS IN A WIRELESS COMMUNICATION SYSTEM

WO2026095517A1WO 2026095517 A1WO2026095517 A1WO 2026095517A1WO-2026095517-A1

Abstract

The present disclosure relates to a 5G communication system or a 6G communication system for supporting higher data rates beyond a 4G communication system such as long term evolution (LTE). Apparatuses and methods for enhanced low-resolution channel state information (CSI) reporting. A method performed by a user equipment (UE) includes receiving Ks downlink reference signals (DL RSs) related to a CSI report and measuring the Ks DL RSs. The Ks DL RSs are associated with Ks port groups, where Ks > 1. The method further includes determining an uplink (UL) channel based on the measurement and transmitting the CSI report including information about the UL channel. The UL channel is associated with at least one of the Ks port groups.

Inventors

  • LEE, Gilwon
  • ONGGOSANUSI, EKO
  • RAHMAN, Md. Saifur
  • FARAG, Emad Nader

Assignees

  • SAMSUNG ELECTRONICS CO., LTD.

Dates

Publication Date
20260507
Application Date
20251027
Priority Date
20251007

Claims (15)

  1. A user equipment (UE) comprising: at least one transceiver; at least one processor communicatively coupled to the at least one transceiver; and at least one memory, communicatively coupled to the at least one processor, storing instructions executable by the at least one processor individually or in any combination to cause the UE to: receive Ks downlink reference signals (DL RSs) related to a channel state information (CSI) report, wherein the Ks DL RSs are associated with Ks port groups, where Ks > 1; measure the Ks DL RSs; and determine an uplink (UL) channel based on the measurement, wherein the UL channel is associated with at least one of the Ks port groups, and wherein the transceiver is further configured to transmit the CSI report including information about the UL channel.
  2. The UE of claim 1, wherein the instructions further cause the UE to: determine a subset of the Ks DL RSs, and an indicator to indicate the subset of the Ks DL RSs, and wherein the CSI report includes the indicator.
  3. The UE of claim 2, wherein the indicator indicates one of the Ks DL RSs with bits.
  4. The UE of claim 2, wherein the indicator is a Ks-bit bitmap indicator.
  5. The UE of claim 1, wherein the information about the UL channel includes a signal quantity for each of the at least one of the Ks port groups based on a respective reference value.
  6. The UE of claim 1, wherein the information about the UL channel includes a signal quantity for the at least one of the Ks port groups based on a reference port group.
  7. The UE of claim 1, wherein each of the Ks DL RSs is a non-zero power (NZP) CSI reference signal (CSI-RS).
  8. A base station (BS) comprising: at least one transceiver; at least one processor communicatively coupled to the at least one transceiver; and at least one memory, communicatively coupled to the at least one processor, storing instructions executable by the at least one processor individually or in any combination to cause the base station to: transmit Ks downlink reference signals (DL RSs) related to a channel state information (CSI) report, wherein the Ks DL RSs are associated with Ks port groups, where Ks > 1; and receive the CSI report including information about an UL channel that is based on the Ks DL RSs, wherein the UL channel is associated with at least one of the Ks port groups.
  9. The BS of claim 8, wherein the CSI report includes an indicator to indicate a subset of the Ks DL RSs.
  10. The BS of claim 9, wherein the indicator indicates one of the Ks DL RSs with bits.
  11. The BS of claim 9, wherein the indicator is a Ks-bit bitmap indicator.
  12. The BS of claim 8, wherein the information about the UL channel includes a signal quantity for each of the at least one of the Ks port groups based on a respective reference value.
  13. The BS of claim 8, wherein the information about the UL channel includes a signal quantity for the at least one of the Ks port groups based on a reference port group.
  14. The BS of claim 8, wherein each of the Ks DL RSs is a non-zero power (NZP) CSI reference signal (CSI-RS).
  15. A method performed by a user equipment (UE), the method comprising: receiving Ks downlink reference signals (DL RSs) related to a channel state information (CSI) report, wherein the Ks DL RSs are associated with Ks port groups, where Ks > 1; measuring the Ks DL RSs; determining an uplink (UL) channel based on the measurement, wherein the UL channel is associated with at least one of the Ks port groups; and transmitting the CSI report including information about the UL channel.

Description

METHOD AND APPARATUS FOR RECIPROCITY-BASED UL TRANSMISSION FOR MULTIPLE PORT GROUPS IN A WIRELESS COMMUNICATION SYSTEM The present disclosure relates generally to wireless communication systems and, more specifically, to reciprocity-based uplink (UL) transmission for multiple port groups. Considering the development of wireless communication from generation to generation, the technologies have been developed mainly for services targeting humans, such as voice calls, multimedia services, and data services. Following the commercialization of 5G (5th generation) communication systems, it is expected that the number of connected devices will exponentially grow. Increasingly, these will be connected to communication networks. Examples of connected things may include vehicles, robots, drones, home appliances, displays, smart sensors connected to various infrastructures, construction machines, and factory equipment. Mobile devices are expected to evolve in various form-factors, such as augmented reality glasses, virtual reality headsets, and hologram devices. In order to provide various services by connecting hundreds of billions of devices and things in the 6G (6th generation) era, there have been ongoing efforts to develop improved 6G communication systems. For these reasons, 6G communication systems are referred to as beyond-5G systems. 6G communication systems, which are expected to be commercialized around 2030, will have a peak data rate of tera (1,000 giga)-level bit per second (bps) and a radio latency less than 100μsec, and thus will be 50 times as fast as 5G communication systems and have the 1/10 radio latency thereof. In order to accomplish such a high data rate and an ultra-low latency, it has been considered to implement 6G communication systems in a terahertz (THz) band (for example, 95 gigahertz (GHz) to 3THz bands). It is expected that, due to severer path loss and atmospheric absorption in the terahertz bands than those in mmWave bands introduced in 5G, technologies capable of securing the signal transmission distance (that is, coverage) will become more crucial. It is necessary to develop, as major technologies for securing the coverage, Radio Frequency (RF) elements, antennas, novel waveforms having a better coverage than Orthogonal Frequency Division Multiplexing (OFDM), beamforming and massive Multiple-input Multiple-Output (MIMO), Full Dimensional MIMO (FD-MIMO), array antennas, and multiantenna transmission technologies such as large-scale antennas. In addition, there has been ongoing discussion on new technologies for improving the coverage of terahertz-band signals, such as metamaterial-based lenses and antennas, Orbital Angular Momentum (OAM), and Reconfigurable Intelligent Surface (RIS). Moreover, in order to improve the spectral efficiency and the overall network performances, the following technologies have been developed for 6G communication systems: a full-duplex technology for enabling an uplink transmission and a downlink transmission to simultaneously use the same frequency resource at the same time; a network technology for utilizing satellites, High-Altitude Platform Stations (HAPS), and the like in an integrated manner; an improved network structure for supporting mobile base stations and the like and enabling network operation optimization and automation and the like; a dynamic spectrum sharing technology via collision avoidance based on a prediction of spectrum usage; an use of Artificial Intelligence (AI) in wireless communication for improvement of overall network operation by utilizing AI from a designing phase for developing 6G and internalizing end-to-end AI support functions; and a next-generation distributed computing technology for overcoming the limit of UE computing ability through reachable super-high-performance communication and computing resources (such as Mobile Edge Computing (MEC), clouds, and the like) over the network. In addition, through designing new protocols to be used in 6G communication systems, developing mechanisms for implementing a hardware-based security environment and safe use of data, and developing technologies for maintaining privacy, attempts to strengthen the connectivity between devices, optimize the network, promote softwarization of network entities, and increase the openness of wireless communications are continuing. It is expected that research and development of 6G communication systems in hyper-connectivity, including person to machine (P2M) as well as machine to machine (M2M), will allow the next hyper-connected experience. Particularly, it is expected that services such as truly immersive eXtended Reality (XR), high-fidelity mobile hologram, and digital replica could be provided through 6G communication systems. In addition, services such as remote surgery for security and reliability enhancement, industrial automation, and emergency response will be provided through the 6G communication system such that the technologies could