Polar Code Reverse Mapping for Reliable Wireless Modulation
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Solution Overview
Problem
Current communication systems face challenges in achieving optimal error correction performance, particularly in wireless communication systems, due to limitations in existing error correction codes such as convolutional coding, turbo coding, and low-density parity-check (LDPC) coding, especially in high-frequency bands and IoT environments.
Innovation Solution
The implementation of a polar code with a reverse mapping technique, including the use of a different demultiplexer (DEMUX) and reverse interleaver for bit streams, to enhance error correction performance in wireless communication systems, particularly in 5G and IoT applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional error correction codes (convolutional, turbo, LDPC) are used in high-frequency bands and IoT environments, then the system can maintain basic error correction capability, but the error correction performance is insufficient and reliability deteriorates
Solution Approach 1:
The patent changes the fundamental parameters of the error correction code by adopting polar codes with a specific generator matrix structure (using Kronecker products of F and I matrices) and implementing reverse mapping techniques. These parameter changes enable the system to achieve superior error correction performance in high-frequency bands and IoT environments where conventional codes fail, thus resolving the contradiction between reliability and adaptability.
2Reliability
If polar codes with reverse mapping technique are implemented, then error correction performance is improved and reliability is enhanced, but the device complexity increases due to additional demultiplexer and interleaver components
Solution Approach 1:
The patent segments the bit stream processing into distinct functional stages: initial demultiplexing based on modulation order, polar encoding, reverse interleaving, and second demultiplexing. This segmentation allows each component to be optimized independently and facilitates parallel implementation, reducing the overall device complexity while maintaining the reliability benefits of reverse mapping techniques.
Solution Approach 2:
The patent performs preliminary demultiplexing of the bit stream before polar encoding based on the modulation order. This preliminary action organizes the bits in advance, allowing the subsequent polar encoding and reverse mapping operations to proceed more efficiently. By preparing the data structure beforehand, the system reduces the computational burden during the main encoding process, thereby lowering device complexity.
3Reliability
If reverse mapping technique is applied to bit streams, then reliability is improved through uniform distribution of reliability across modulation symbols, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent incorporates feedback mechanisms in the decoding process where the decoder uses the received signal and previously decoded information to iteratively refine the estimation of transmitted bits. The reverse interleaver at the decoder side reverses the mapping applied at the encoder, and the feedback loop allows the system to detect and correct errors by comparing expected and actual outputs, thereby making the reverse mapping effects detectable and measurable while maintaining reliability improvements.
Data Source
AI summary
A method of a transmitting device in a wireless communication system, includes: obtaining an encoded bit stream from information bits using a polar code; transmitting a first signal generated through a first modulation of the encoded bit stream; performing reverse mapping on the encoded bit stream; and transmitting a second signal generated through a second modulation of the reverse-mapped encoded bit stream.