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CN-122029875-A - Method and apparatus for enhancing performance of user equipment in a wireless communication system

CN122029875ACN 122029875 ACN122029875 ACN 122029875ACN-122029875-A

Abstract

The present disclosure relates to 5G or 6G communication systems supporting higher data transmission rates. A method includes determining a plurality of physical characteristics associated with a UE for at least one of an indoor and/or outdoor environment, configuring a measurement procedure for at least one wireless communication channel based on the determined plurality of physical characteristics, generating CSI feedback based on the configured measurement procedure and the characteristics of the at least one wireless communication channel, applying the generated CSI feedback to perform model inference of potential adjustments to one or more wireless communication parameters, determining a CQI based on the generated CSI feedback and the configured measurement procedure, and applying potential adjustments to one or more wireless communication parameters of the UE to enhance performance of the UE 100 based on the determined CQI and the determined plurality of physical characteristics.

Inventors

  • Amod Ashok Jolasia

Assignees

  • 三星电子株式会社

Dates

Publication Date
20260512
Application Date
20240422
Priority Date
20231212

Claims (15)

  1. 1. A method performed by a terminal in a wireless communication system, the method comprising: Determining a plurality of physical characteristics associated with the terminal for at least one of an indoor environment and an outdoor environment; configuring a measurement procedure for at least one wireless communication channel based on the determined plurality of physical characteristics; generating channel state information, CSI, feedback based on the configured measurement procedure and characteristics of the at least one wireless communication channel, and The generated CSI feedback is applied to perform model inference of potential adjustments to one or more wireless communication parameters for utilizing an artificial intelligence AI module of the terminal.
  2. 2. The method according to claim 1, the method comprising: Determining a channel quality indicator, CQI, based on the generated CSI feedback and the configured measurement procedure, and Potential adjustments to the one or more wireless communication parameters of the terminal are applied based on the determined CQI and the determined plurality of physical characteristics to enhance performance of the terminal.
  3. 3. The method of claim 1, wherein the one or more wireless communication parameters comprise an optimal transmission power, an optimal modulation and coding scheme, MCS, an optimal coding rate, a data packet schedule, a transport block size, TBS, and a resource block, RB.
  4. 4. The method of claim 1, wherein the AI module is trained to generate the CSI feedback based on at least one of historical CSI image information, predicted CSI image information, real-time frequency data, the determined plurality of physical characteristics, and the configured measurement process.
  5. 5. The method of claim 1, wherein the plurality of physical characteristics comprises at least one of a terminal distribution, a carrier frequency, a speed of the terminal, a location of the terminal, an orientation of the terminal, a movement of the terminal, and a channel quality indicator CQI.
  6. 6. The method of claim 1, wherein the plurality of physical characteristics are determined by a sensor module of the terminal, the sensor module including at least one of an accelerometer sensor, a gyroscope sensor, a magnetometer sensor, a global positioning system GPS sensor, a temperature and humidity sensor, and a weather monitoring sensor.
  7. 7. The method of claim 1, wherein configuring the measurement procedure comprises: Receiving a request from a network device to perform one or more measurements associated with the at least one wireless communication channel, wherein the one or more measurements include at least one of a radio resource management, RRM, measurement of minimization of drive tests, MDT, a speed of the terminal, a location of the terminal, channel state information reference signals, CSI RS, CSI measurements, and a signal-to-interference-plus-noise ratio, SINR, and A report associated with the one or more measurements performed is sent to the network device.
  8. 8. The method of claim 1, wherein configuring the measurement procedure comprises: Receiving radio resource control, RRC, configuration information from the network device, and The configuration of the CSI report comprises CSI-RS resource mapping, CSI information measurement resources, a CSI semi-persistent Physical Uplink Shared Channel (PUSCH) trigger state list, a CSI aperiodic trigger state list, CSI resource configuration and CSI report configuration.
  9. 9. A terminal in a wireless communication system, the terminal comprising: A transceiver; at least one processor, and At least one memory storing instructions that, when executed by the at least one processor, cause the terminal to: Determining a plurality of physical characteristics associated with the terminal for at least one of an indoor environment and an outdoor environment; configuring a measurement procedure for at least one wireless communication channel based on the determined plurality of physical characteristics; generating channel state information, CSI, feedback based on the configured measurement procedure and characteristics of the at least one wireless communication channel, and The generated CSI feedback is applied to perform model inference of potential adjustments to one or more wireless communication parameters for utilizing an artificial intelligence AI module of the terminal.
  10. 10. The terminal of claim 9, wherein the at least one memory stores instructions that, when executed by the at least one processor, further cause the terminal to: Determining a channel quality indicator, CQI, based on the generated CSI feedback and the configured measurement procedure, and Potential adjustments to the one or more wireless communication parameters of the terminal are applied based on the determined CQI and the determined plurality of physical characteristics to enhance performance of the terminal.
  11. 11. The terminal of claim 9, wherein the one or more wireless communication parameters comprise an optimal transmission power, an optimal modulation and coding scheme, MCS, an optimal coding rate, a data packet schedule, a transport block size, TBS, and a resource block, RB.
  12. 12. The terminal of claim 11, wherein the AI module is trained to generate the CSI feedback based on at least one of historical CSI image information, predicted CSI image information, real-time frequency data, the determined plurality of physical characteristics, and the configured measurement process.
  13. 13. The terminal of claim 9, wherein the plurality of physical characteristics include at least one of a terminal distribution, a carrier frequency, a speed of the terminal, a location of the terminal, an orientation of the terminal, a movement of the terminal, and a channel quality indicator CQI.
  14. 14. The terminal of claim 9, wherein the plurality of physical characteristics are determined by a sensor module of the terminal, the sensor module including at least one of an accelerometer sensor, a gyroscope sensor, a magnetometer sensor, a global positioning system GPS sensor, a temperature and humidity sensor, and a weather monitoring sensor.
  15. 15. The terminal of claim 9, wherein the at least one memory stores instructions that, when executed by the at least one processor, further cause the terminal to: Receiving a request from a network device to perform one or more measurements associated with the at least one wireless communication channel, wherein the one or more measurements include at least one of a radio resource management, RRM, measurement of minimization of drive tests, MDT, a speed of the terminal, a location of the terminal, channel state information reference signals, CSI RS, CSI measurements, and a signal-to-interference-plus-noise ratio, SINR, and A report associated with the one or more measurements performed is sent to the network device.

Description

Method and apparatus for enhancing performance of user equipment in a wireless communication system Technical Field The present disclosure relates to the field of wireless communication systems. For example, the present disclosure relates to methods, apparatuses, and systems for enhancing performance of User Equipment (UE) in a wireless communication system. Background The 5G mobile communication technology defines a wide frequency band, so that high transmission rates and new services are possible, and can be implemented not only in a "Sub 6GHz" frequency band such as 3.5 GHz, but also in an "Above 6GHz" frequency band called mmWave including 28GHz and 39 GHz. Further, it has been considered to implement a 6G mobile communication technology (referred to as a super 5G system) in a terahertz (THz) frequency band (e.g., 95GHz to 3THz frequency band) in order to achieve a transmission rate fifty times faster than the 5G mobile communication technology and an ultra-low delay of one tenth of the 5G mobile communication technology. At the beginning of the development of 5G mobile communication technology, in order to support services and meet performance requirements related to enhanced mobile broadband (eMBB), ultra-reliable low-delay communication (URLLC) and large-scale machine type communication (mMTC), there has been continuous standardization regarding beamforming and massive MIMO for alleviating radio wave path loss in millimeter waves and increasing radio wave transmission distances, support parameter sets for dynamic operation (e.g., operating multiple subcarrier intervals) for efficiently utilizing millimeter wave resources and slot formats, support of initial access technologies for multi-beam transmission and broadband, definition and operation of BWP (bandwidth part), new channel coding methods such as LDPC (low density parity check) codes for mass data transmission and polarization codes for highly reliable transmission of control information, L2 pre-processing, and network slicing for providing a dedicated network for a specific service. Currently, in view of services to be supported by the 5G mobile communication technology, discussions are underway regarding improvement and performance enhancement of the initial 5G mobile communication technology, and there have been techniques regarding physical layer standardization such as V2X (vehicle to everything) techniques for assisting driving determination of an autonomous vehicle and for enhancing user convenience based on information about the position and state of the vehicle transmitted by the vehicle, NR-U (new radio unlicensed), aiming at system operation meeting various regulatory-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 where communication with a terrestrial network is unavailable, and positioning. Furthermore, air interface architectures/protocols have been continuously standardized with respect to technologies such as industrial internet of things (IIoT) for supporting new services by interworking and convergence with other industries, IAB (integrated access and backhaul) for providing nodes for network service area extension by supporting wireless backhaul links and access links in an integrated manner, mobility enhancements including conditional handoffs and DAPS (dual active protocol stack) handoffs, and two-step random access (two-step RACH for NR) for simplifying random access procedures. There is also ongoing standardization in 5G baseline architecture (e.g., service-based architecture or service-based interface) for combining Network Function Virtualization (NFV) and Software Defined Networking (SDN) technologies, as well as system architecture/services for Mobile Edge Computing (MEC) for receiving services based on UE location. With commercialization of the 5G mobile communication system, an exponentially growing connection device will be connected to the communication network, and thus it is expected that enhanced functions and performance of the 5G mobile communication system and integrated operation of the connection device will be necessary. For this reason, new researches have been arranged in connection with techniques of effectively supporting augmented reality (XR) of AR (augmented reality), VR (virtual reality), MR (mixed reality), etc., improving 5G performance and reducing complexity by using Artificial Intelligence (AI) and Machine Learning (ML), AI service support, meta space service support, and unmanned aerial vehicle communication. Furthermore, such development of 5G mobile communication systems will serve not only as a basis for developing new waveforms for providing coverage in the terahertz frequency band of 6G mobile communication technologies, multi-antenna transmission technologies such as full-dimensional MIMO (FD-MIMO), array antennas and massive antennas, metamaterial-based lenses and