MIMO Polar Code Construction with Virtual SISO Channel Allocation
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Solution Overview
Problem
Existing channel coding methods for MIMO channels face challenges in efficiently applying polar codes, leading to high resource consumption and bit error rates due to the need for multiple encoders and decoders, which complicates the integration of polar coding with MIMO systems.
Innovation Solution
The method involves constructing polar codes for MIMO channels by generating independent SISO channels, allocating bit-channels, estimating channel qualities, and arranging unfrozen and frozen bits based on these qualities, thereby reducing the need for multiple encoders and decoders and optimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple encoders and decoders are used for MIMO channel coding, then coding reliability is improved, but device complexity and resource consumption increase
Solution Approach 1:
The patent merges multiple encoders and decoders into a single encoder and decoder by applying polar coding to the combined MIMO channel. Instead of treating each MIMO stream separately with dedicated encoders/decoders, the invention integrates them into one unified coding structure, reducing device complexity while maintaining coding reliability through the polar coding framework.
Solution Approach 2:
The single encoder and decoder are designed to handle multiple MIMO streams simultaneously, making them multi-functional. The polar code constructed for the MIMO channel can encode and decode multiple data streams through a unified process, eliminating the need for separate dedicated encoders and decoders for each stream.
2Reliability
If multiple encoders and decoders are used for MIMO channel coding, then coding reliability is improved, but power consumption increases
Solution Approach 1:
By merging multiple encoders and decoders into a single unified polar code structure for MIMO channels, the patent reduces the total number of coding operations required. This consolidation decreases computational load and consequently reduces power consumption while maintaining the same level of coding reliability through the integrated approach.
3Productivity
If polar codes are applied to MIMO channels, then communication capacity is improved, but integration complexity increases
Solution Approach 1:
The patent segments the MIMO channel into multiple virtual SISO (Single Input Single Output) channels through channel decomposition. This segmentation allows polar codes to be applied to each virtual channel independently, simplifying the integration process while still achieving the capacity benefits of polar coding across the entire MIMO system.
Solution Approach 2:
The patent introduces virtual SISO channels as an intermediary layer between the physical MIMO channel and the polar code. This intermediary representation simplifies the integration by transforming the complex MIMO channel into multiple simpler virtual channels that can be more easily handled by polar coding techniques.
Data Source
AI summary
A method of constructing a polar code for a multiple input multiple output (MIMO) channel. The method may generate a plurality of mutually independent single input single output (SISO) channels based on MIMO channel information; define channels of the polar code; allocate each of the channels of the polar code to one of the plurality of the SISO channels; estimate qualities of channels combined by applying polar transformation to the plurality of SISO channels; and arrange unfrozen bits and frozen bits based on the estimated qualities.