LDPC Rate Matching with Adaptive Transport Block Size Selection
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Solution Overview
Problem
Current methods for rate matching in low-density parity check (LDPC) codes in wireless communication systems, particularly in 5G scenarios, face challenges in efficiently determining transport block sizes for various service types and resource allocations, leading to suboptimal performance in rate matching.
Innovation Solution
A method and apparatus for performing rate matching in LDPC codes by determining a transport block size based on the number of resource elements allocated to a physical resource block, considering reference signal overhead, and configuring according to specific code rates and service types, with limited buffer rate matching (LBRM) techniques to improve rate matching performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional rate matching methods are used for LDPC codes, then the implementation is simpler, but the rate matching performance is suboptimal for various service types and resource allocations
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the transport block size determination based on multiple variables including the number of resource elements allocated to physical resource blocks, reference signal overhead, code rates, and service types. This allows the system to optimize rate matching performance for different scenarios by changing the parameters used in TBS calculation rather than using a fixed method
Solution Approach 2:
The patent implements dynamics by making the TBS determination process adaptive to changing conditions. The system dynamically selects and applies different determination methods based on the specific service type (e.g., eMBB, uMTC, mMTC), resource allocation, and code rate configurations, allowing the rate matching to respond to varying operational requirements in real-time
2Productivity
If the TBS is determined based on the number of REs allocated to PRB considering RS overhead, then the resource allocation is optimized, but the calculation complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-configuring multiple TBS determination methods and having the system select the appropriate method based on the service type and resource allocation conditions. The base station pre-establishes the relationships between service types, code rates, and determination methods, so the UE can efficiently select and apply the correct method without performing complex real-time analysis
3Ease of operation
If LBRM is configured with specific code rate assumptions, then the rate matching is simplified, but the flexibility to adapt to different service types is reduced
Solution Approach 1:
The patent resolves this contradiction by making the rate matching method dynamic. The system maintains simple LBRM operations for each specific case while dynamically selecting which simple method to apply based on the service type. For example, different determination methods are selected for eMBB, uMTC, and mMTC services, allowing each to use a simplified approach appropriate to its characteristics while maintaining overall system adaptability
Data Source
AI summary
A method by which a terminal performs rate matching for a low density parity check (LDPC) code can comprise the steps of: determining any one transport block size (TBS) among a plurality of TBSs set for rate matching in the terminal; and performing rate matching for the LDPC code on the basis of the selected TBS. The UE is capable of communicating with at least one of another UE, a UE related to an autonomous driving vehicle, a base station or a network.