Polarization-Adjusted Channel Coding for Lower Receiver Complexity
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Solution Overview
Problem
Existing wireless communication systems face challenges in reducing complexity while maintaining throughput and performance, particularly as computational complexity increases with higher throughput scenarios.
Innovation Solution
The implementation of a polarization adjusted channel coding design that partitions information bits into multiple subsets corresponding to different polarization levels, allowing for separate encoding using distinct channel coding schemes and rates, followed by a polarizing transform and transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If reliability metrics are used during encoding and decoding to load information bits on favorable channel instances, then communication reliability is improved, but computational complexity and storage requirements increase significantly
Solution Approach 1:
The patent segments the set of information bits into multiple subsets, where each subset corresponds to a specific polarization level. Each subset is encoded separately using appropriate channel coding schemes, and then all encoded subsets are concatenated to form the final codeword. This segmentation allows the receiver to process different subsets independently, significantly reducing computational complexity while maintaining communication reliability through polar code's inherent error correction capabilities.
2Productivity
If throughput is increased, then data transmission rate is improved, but computational complexity and computational capability requirements increase
Solution Approach 1:
The patent applies different channel coding schemes and coding rates to different subsets of information bits based on their corresponding polarization levels. Each polarization level has distinct channel characteristics, and the encoder selectively applies appropriate coding schemes (such as LDPC, Turbo, or Polar codes) and adjusts coding rates to match the channel conditions at each level. This local optimization enables efficient throughput scaling without uniformly increasing computational complexity across all data streams.
3Reliability
If separate encoding is applied to different polarization levels, then encoding flexibility and reliability are improved, but device complexity increases
Solution Approach 1:
The patent introduces polarization levels as an additional dimension for organizing and processing information bits. By mapping different subsets of information bits to different polarization levels, the system creates a multi-dimensional encoding structure where each dimension (polarization level) can be independently encoded with appropriate schemes. This dimensional organization provides encoding flexibility and reliability improvement while managing device complexity through structured, modular processing.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A transmitting device may allocate a set of information bits into multiple subsets of bits corresponding to channel instances of a channel. The transmitting device may encode a first subset of bits according to a first channel coding scheme for a first channel instance and a second subset of bits according to a second channel coding scheme for a second channel instance. The transmitting device may input encoded subsets of bits to a polarizing transform, which may output a set of encoded polarized bits that are transmitted to a receiving device. Upon reception of the encoded polarized bits, the receiving device may apply a depolarizing transform to obtain multiple subsets of bits corresponding to channel instances of the channel, and may decode each subset of bits according to a respective channel coding scheme.


