Polar Code Rate Matching for Low-Overhead HARQ Transmission
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Solution Overview
Problem
Existing wireless communication systems, particularly IoT communications, face challenges in achieving ideal performance and low complexity due to limitations in existing codes like turbo codes and LDPC codes, especially in terms of reliability and complexity for short packet transmission and wide coverage scenarios.
Innovation Solution
The implementation of polar code coding with adaptive retransmission request times based on channel quality and coverage area, optimizing code length and rate matching to reduce signaling overheads and enhance coding gain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If hybrid automatic repeat request (HARQ) solutions are used to support wider coverage, then coverage area is improved, but signaling overheads increase due to frequent retransmission requests
Solution Approach 1:
The patent applies preliminary action by determining the quantity of retransmission request times in advance based on channel quality and coverage area requirements. This allows the system to pre-plan the number of retransmissions needed before actual data transmission begins, avoiding dynamic signaling overheads during the transmission process while still achieving the required coverage area.
2Device complexity
If polar code coding is performed with fixed code length, then coding complexity is reduced, but coding gain is not fully utilized in adaptive transmission scenarios
Solution Approach 1:
The patent applies dynamics by making the code length adaptive rather than fixed. The code length is dynamically adjusted based on the determined quantity of retransmission request times and channel conditions. This allows the system to optimize coding gain for each transmission scenario while maintaining manageable complexity through systematic adaptation rather than complex real-time adjustments.
3Reliability
If more retransmission request times are allowed, then reliability is improved, but signaling overheads and transmission resources increase
Solution Approach 1:
The patent applies parameter changes by optimizing the quantity of retransmission request times as a key parameter. This quantity is determined based on channel quality and coverage area requirements, allowing the system to achieve the necessary reliability while minimizing the consumption of transmission resources. The parameter is adjusted to find the optimal balance between reliability and resource efficiency.
Data Source
AI summary
Embodiments of the present disclosure provide a data transmission method, including: performing polar code coding on to-be-coded bits, to obtain a mother code, where a code length of the mother code is related to K and Mi, i=1, 2, . . . , K, K is a quantity of sending times, Mi is a length of bits sent at an ith time, and K and Mi are positive integers greater than 1; performing rate matching on the mother code, to obtain to-be-sent bits, where a quantity of the to-be-sent bits is a sum of lengths of bits sent at K times; and sending Mi to-be-sent bits at the ith time.