Base Station PRB Allocation Using Worst-Case Channel Quality
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Solution Overview
Problem
Existing resource allocation methods in orthogonal frequency division multiplexing (OFDM) wireless transmission fail to efficiently handle scenarios with varying channel qualities across frequency ranges, leading to potential decoding failures and inefficient use of resources due to high and low channel quality mixtures.
Innovation Solution
A method and base station for resource allocation that determines and allocates physical resource blocks (PRBs) based on the worst channel qualities, ensuring accurate matching to actual channel conditions by considering the block error rate impact of the worst code block.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If resource allocation is based on average channel quality, then overall resource utilization is improved, but decoding reliability deteriorates due to worst-case code block failures
Solution Approach 1:
The patent segments the transport block into multiple code blocks, each allocated to specific physical resource blocks (PRBs). By evaluating and allocating resources based on the worst channel quality among groups of PRBs rather than averaging across all PRBs, each code block is guaranteed sufficient resources to decode successfully, resolving the contradiction between overall utilization and individual reliability
Solution Approach 2:
The patent applies local quality evaluation by assessing channel qualities of different PRB groups separately and allocating resources to satisfy the worst-case scenario within each group. This ensures that each code block receives appropriate resources matched to its specific channel conditions, rather than using a uniform average quality metric
2Loss of time
If interleaving is applied at code block level, then receiver processing latency is reduced, but resource allocation efficiency deteriorates in mixed channel quality scenarios
Solution Approach 1:
The patent segments PRBs into multiple groups and evaluates channel qualities independently for each group. This segmentation enables efficient resource allocation that accounts for mixed channel qualities while maintaining code block-level interleaving benefits for latency reduction
Solution Approach 2:
The patent changes the allocation parameter from average channel quality to worst-case channel quality within PRB groups. This parameter change enables the system to maintain code block-level processing for low latency while improving resource allocation efficiency in mixed channel quality scenarios
Data Source
AI summary
A method and a base station for resource allocation are disclosed. According to an embodiment, the base station determines a number of physical resource blocks (PRBs) consumed by a code block. The base station allocates a first set of PRBs for a transmission for a terminal device, based on channel qualities of a second set of PRBs which have a quantity equaling to the determined number and have the worst channel qualities among the first set of PRBs.