Reconfigurable Wireless Decoder for Multi-Standard Error Correction
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Solution Overview
Problem
Current telecommunications systems require separate decoders for convolutional, turbo, and LDPC codes, leading to increased complexity, power consumption, and time-to-market challenges due to the need for multiple implementations for different standards.
Innovation Solution
A reconfigurable Add-Compare-Select (ACS) decoder and reconfigurable LDPC decoder are developed to support multiple types of error correction codes, allowing for a single receiver to decode convolutional, turbo, and LDPC codes, and enabling easy reprogramming for new protocols, thus reducing the need for multiple decoders and simplifying implementation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate decoders are used for convolutional, turbo, and LDPC codes, then each decoder can be optimized for its specific code type, but the device complexity and power consumption increase
Solution Approach 1:
The patent implements a universal decoder architecture that can decode multiple code types (convolutional, turbo, and LDPC codes) using a single device. The decoder is designed with configurable components that can be programmed to support different coding schemes, eliminating the need for multiple separate decoders while maintaining optimized decoding performance for each code type
Solution Approach 2:
The decoder employs dynamic reconfiguration capabilities that allow it to adapt its internal structure and operations based on the specific code type being decoded. This dynamic behavior enables the same hardware to optimize its performance for different code types through programmable control, rather than being fixed for a single code type
2Reliability
If separate decoders are used for different code types, then each decoder can be specialized, but the power consumption increases
Solution Approach 1:
By consolidating multiple decoder functions into a single universal decoder, the patent reduces the total power consumption compared to running multiple separate decoders. The universal decoder shares common resources and processing elements across different code types, thereby reducing overall energy usage while maintaining specialized decoding capabilities through software configuration
3Reliability
If multiple decoder implementations are developed for different standards, then each standard can be optimized, but the time-to-market increases
Solution Approach 1:
The universal decoder allows a single product implementation to support multiple telecommunications standards (including DVB-S2, IEEE 802.11n, and IEEE 802.16e) simultaneously. This eliminates the need to develop and validate separate decoder implementations for each standard, significantly reducing time-to-market while maintaining full standard compliance through configurable software
4Device complexity
If a single reconfigurable decoder is used, then the area and power requirements are reduced, but the decoder must handle multiple code types with different requirements
Solution Approach 1:
The reconfigurable decoder uses dynamic configuration mechanisms that allow it to adapt its internal structure, processing paths, and algorithms based on the specific code type being decoded. This dynamic reconfiguration enables the decoder to maintain high adaptability for different code types while using a compact, unified hardware structure that reduces overall area requirements compared to multiple fixed decoders
Data Source
AI summary
A system, apparatus, method, and article including a decoder having multiple connections defined between multiple check nodes and multiple symbol nodes. The connections between the multiple check nodes and the multiple symbol nodes are reconfigurable to enable the decoder to decode multiple codes. Other embodiments are described and claimed. The system further includes an antenna.