Dynamic ACK Candidate Selection in PUCCH CQI Joint Detection
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Solution Overview
Problem
Current wireless communication networks face challenges in efficiently detecting control bit information, particularly Channel Quality Indicator (CQI) and Hybrid Automatic Repeat Request Acknowledge (HARQ-ACK) bits, due to high error rates and complex detection processes in PUCCH formats 2a and 2b, which impact network throughput.
Innovation Solution
A dynamic ACK list selection method and apparatus that reduces complexity by identifying the most likely ACK candidates and dynamically allocating detection branches to detect top-Q candidate CQI bits, merging these detections to generate a merged list and produce CQI symbols, thereby improving detection efficiency and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional detection methods are used for PUCCH formats 2a and 2b, then detection coverage is maintained, but processing complexity and resource consumption increase significantly
Solution Approach 1:
The detection process is segmented into two distinct stages: first detecting ACK candidates using a simplified metric, then detecting CQI bits based on the ACK results. This segmentation allows each stage to use optimized processing appropriate to its specific detection task, reducing overall complexity while maintaining reliability.
Solution Approach 2:
The ACK detection is performed as a preliminary action before CQI detection. By first identifying the most likely ACK candidates using a coarse-level metric, the system prepares the foundation for subsequent CQI detection, enabling more efficient resource allocation and reducing the computational burden of the overall detection process.
2Reliability
If all possible ACK candidates are evaluated to ensure accurate detection, then detection reliability improves, but processing time and computational resources increase
Solution Approach 1:
Instead of evaluating all possible ACK candidates exhaustively, the system performs partial action by focusing computational resources on detecting the most likely ACK candidates first. This approach achieves sufficient detection accuracy by concentrating efforts on the most probable cases rather than uniformly processing all possibilities.
Solution Approach 2:
The detection resource allocation is made local and adaptive: detection branches are dynamically allocated based on the specific ACK candidate being evaluated. This allows the system to concentrate computational resources where they are most needed (for likely candidates) rather than distributing resources uniformly across all candidates, thereby reducing overall processing time while maintaining accuracy.
3Adaptability or versatility
If fixed detection resource allocation is used, then system stability is maintained, but adaptability to varying channel conditions and detection needs is reduced
Solution Approach 1:
The system transitions from fixed to dynamic resource allocation. Detection branches are dynamically allocated based on real-time conditions including the number of ACK candidates and channel state. This dynamic adaptation allows the system to optimize detection performance for varying conditions while maintaining stability through structured allocation rules and systematic detection procedures.
Data Source
AI summary
Methods and apparatus for dynamic acknowledgement list selection in detection of uplink control channel formats. In an exemplary embodiment, an apparatus includes a dynamic acknowledgement (ACK) list allocation circuit that generates a dynamic ACK list that includes one or two most likely ACK candidates, and a top-Q candidate CQI bits detector that dynamically allocates a detection branch to each of the one or two most likely ACK candidates to detect top-Q candidate CQI bits. The apparatus also includes a merger circuit that mergers the top-Q candidate CQI bits detected for the one or two most likely ACK candidates to generate a merged list, a top-Q CQI symbol generator that generates top-Q CQI symbols for the top-Q candidate CQI bits detected for the one or two most likely ACK candidates, and a joint detector that detects transmitted CQI bits and ACK bits.