Dynamic Precoder Determination for SBFD Interference Control
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently performing subband non-overlapping full duplex (SBFD) operations, which are essential for providing high-speed and reliable services in advanced mobile communication systems like 5G and 6G.
Innovation Solution
A method and apparatus for enabling subband non-overlapping full duplex (SBFD) operations by allowing a user equipment (UE) to receive a physical downlink shared channel (PDSCH) effectively, utilizing bandwidth part (BWP) configurations and dynamic precoder determination to optimize resource allocation and minimize interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If subband non-overlapping full duplex (SBFD) operations are implemented to enable high-speed data transmission, then transmission rate is improved, but interference between uplink and downlink signals increases
Solution Approach 1:
The bandwidth is divided into multiple subbands, with certain subbands allocated for downlink transmission and others for uplink transmission. This segmentation prevents overlapping of uplink and downlink signals in the frequency domain, thereby enabling high-speed transmission while minimizing interference between opposite-direction signals.
Solution Approach 2:
Different quality characteristics are assigned to different subbands based on channel conditions and service requirements. By optimizing precoding parameters and resource allocation locally for each subband, the system achieves high transmission rates in favorable subbands while suppressing interference in challenging subbands.
2Reliability
If dynamic precoder determination is used to optimize resource allocation in SBFD operations, then service delivery reliability is improved, but computational complexity increases
Solution Approach 1:
Precoder candidates are pre-configured and prepared in advance based on channel state information and service requirements. During actual transmission, the gNB selects from these pre-prepared candidates rather than computing precoders from scratch, thereby improving service delivery reliability while reducing real-time computational complexity.
Solution Approach 2:
The system utilizes available channel state information and historical data to autonomously determine optimal precoding parameters without requiring extensive real-time computation or external intervention. The gNB self-adjusts precoding based on feedback from UEs, achieving reliable service delivery with reduced computational burden.
Data Source
AI summary
The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Methods and apparatus are provided for dynamic precoder determination in a wireless communication system. The method of a terminal comprises: receiving, from a base station, configuration information on a precoder resource block group (PRG) granularity; receiving, from the base station, downlink control information (DCI) including information indicating a size of a physical resource block (PRB) bundling; and identifying the PRG granularity based on the information and at least one downlink (DL) subband.