Reed-Solomon Coding Selection for High-Throughput Wireless Decoding
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently implementing coding schemes, particularly in high throughput scenarios where Reed-Solomon (RS) coding can offer lower complexity and reduced power consumption compared to LDPC decoding, but requires effective demodulation and decoding techniques.
Innovation Solution
The implementation of RS coding in wireless communications systems, where user equipment (UE) reports its capabilities and requests specific coding schemes, and network entities indicate the applicable coding schemes through downlink control information, allowing for near maximal likelihood demodulation and RS decoding to improve throughput and reduce power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If LDPC decoding is used, then robustness is improved, but device complexity and power consumption increase
Solution Approach 1:
The patent implements dynamic coding scheme selection where the UE can switch between LDPC and RS decoding based on throughput requirements and capability reports. The network entity configures the appropriate coding scheme (LDPC or RS) based on UE capability indications, allowing the system to adaptively choose the optimal decoding approach for each transmission scenario rather than using a fixed scheme.
Solution Approach 2:
The patent changes the coding scheme parameter from a fixed LDPC configuration to a selectable parameter that can be set to either LDPC or RS based on system conditions. The UE reports its capability to support RS decoding and near-ML demodulation, and the network entity adjusts the coding scheme parameter in downlink control information to match the desired throughput and power consumption targets.
2Reliability
If LDPC decoding is used, then robustness is improved, but power consumption increases
Solution Approach 1:
The system dynamically selects between LDPC and RS decoding schemes based on power consumption requirements. When low power consumption is prioritized and throughput conditions allow, the UE indicates RS decoding capability and the network entity configures RS coding, reducing power consumption while maintaining adequate performance.
Solution Approach 2:
The coding scheme parameter is changed from mandatory LDPC to selectable RS or LDPC based on power consumption targets. The UE capability report includes indication of RS decoding support, and the network entity adjusts the coding scheme parameter in RRC configuration or DCI to optimize power consumption while meeting robustness requirements.
3Productivity
If RS decoding is used, then throughput is improved and power consumption is reduced, but robustness decreases
Solution Approach 1:
The patent implements dynamic selection between RS and LDPC decoding based on throughput requirements. When high throughput is the priority and channel conditions permit, the UE indicates RS decoding capability and the network entity configures RS coding with near-ML demodulation, achieving higher throughput performance.
Solution Approach 2:
The coding scheme parameter is changed from fixed LDPC to selectable RS or LDPC based on throughput targets. The UE capability report indicates RS decoding support, and the network entity adjusts the coding scheme parameter in downlink control information to optimize throughput while maintaining adequate robustness through near-ML demodulation.
4Device complexity
If RS decoding is used, then device complexity is reduced, but robustness decreases
Solution Approach 1:
The system dynamically selects between RS and LDPC decoding based on complexity requirements. When reduced device complexity is prioritized and performance conditions allow, the UE indicates RS decoding capability and the network entity configures RS coding, simplifying the decoding process while maintaining adequate robustness.
Solution Approach 2:
The coding scheme parameter is changed from mandatory LDPC to selectable RS or LDPC based on complexity targets. The UE capability report includes indication of RS decoding support, and the network entity adjusts the coding scheme parameter in RRC configuration or DCI to optimize device complexity while meeting robustness requirements through near-ML demodulation.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit an indication to a network entity that the UE is capable of decoding Reed-Solomon codes and that the UE is capable of performing near maximal likelihood demodulation. The network entity may transmit a message indicating that a Reed-Solomon code is applied to one or more scheduled signals based at least in part on the indication. The network entity may apply Reed-Solomon coding to a signal of the one or more scheduled signals based at least in part on the message. The UE may apply near maximal likelihood demodulation and Reed-Solomon decoding to a received signal of the one or more scheduled signals based at least in part on the message.