Uplink CSI Feedback Mapping for Fewer Blind Decoding Attempts
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently mapping uplink control information (UCI) to report channel state information (CSI), leading to ambiguity in encoding and increased blind decoding attempts by the base station.
Innovation Solution
The method involves designing a UCI mapping rule that encodes CSI using a polar code, where CSI reference signal resource indicators (CRI) and rank indicators (RI) are placed before padding bits, and precoding matrix indicators (PMI) and channel quality indicators (CQI) are placed after, to reduce ambiguity and improve decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current UCI mapping method is used, then CSI reporting is performed, but ambiguity in encoding increases and blind decoding attempts increase
Solution Approach 1:
The UCI information is segmented into distinct fields (RI field, CQI field, PMI field) with clearly defined boundaries and bit positions. Each field is encoded separately with specific bit widths, eliminating ambiguity in the encoding structure and reducing the need for blind decoding attempts.
Solution Approach 2:
Different portions of the UCI message are allocated different qualities in terms of bit width and positioning. The RI field is given a specific number of bits at the beginning, followed by CQI and PMI fields with their respective bit allocations. This local differentiation in quality ensures each component is clearly identified without requiring multiple blind decoding attempts.
2Productivity
If UCI mapping rule is designed without structured field placement, then encoding flexibility is maintained, but decoding efficiency decreases
Solution Approach 1:
The UCI message structure is predetermined with specific field placements and bit widths established before transmission. The RI field is placed at the beginning with a predetermined number of bits, followed by CQI and PMI fields with their respective predetermined allocations. This preliminary structuring enables the base station to decode efficiently without requiring complex blind decoding procedures.
3Measurement precision
If ambiguous UCI encoding is used, then device complexity is reduced, but information identification accuracy decreases
Solution Approach 1:
The encoding parameters are explicitly defined with specific bit widths for each field (RI field bits, CQI field bits, PMI field bits). These parameter changes from ambiguous to explicit definitions ensure high identification accuracy while maintaining manageable device complexity through standardized parameter specifications.
Data Source
AI summary
The present disclosure relates to a communication method and system for converging a 5th-Ggeneration (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart homes, smart buildings, smart cities, smart cars, connected cars, health care, digital education, smart retail, security, and safety services. A method of transmitting uplink control information in a wireless communication system is provided. The method includes receiving channel state information (CSI) feedback configuration information from a base station, generating (CSI) including at least one of a CSI reference signal resource indicator (CRI), a rank indicator (RI), a precoding matrix indicator (PMI), or a channel quality indicator (CQI) based on the CSI feedback configuration information, identifying an information sequence including the CSI, encoding the information sequence using a polar code, and transmitting the encoded information sequence to a base station. The CRI and the RI are placed before padding bits in the information sequence and the PMI and the CQI are placed after the padding bits in the information sequence.