Phase Encoding with Higher-Order Terms for Massive MIMO
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Solution Overview
Problem
Conventional phase encoding methods generate a large quantity of redundant codes, affecting the speed and quality of weight optimization in massive MIMO systems, especially as the antenna scale grows from hundreds to thousands.
Innovation Solution
A phase encoding method that introduces higher-order terms to construct a full-rank square matrix for encoding, reducing the quantity of bits needed and eliminating redundant codes, allowing one-to-one encoding of N bits to 2N phases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional phase encoding methods are used, then phase encoding can be performed, but a large quantity of redundant codes are generated, severely affecting speed and quality of weight optimization
Solution Approach 1:
The patent changes the encoding parameters by introducing higher-order terms (second-order, third-order, etc.) in addition to first-order terms. This transforms the encoding approach from conventional methods that only use first-order terms, thereby reducing redundant codes and improving optimization speed without sacrificing encoding capability
Solution Approach 2:
The patent segments the encoding process into multiple independent components: first-order terms, second-order terms, third-order terms, and higher-order terms. Each term type can be independently calculated and combined, allowing systematic reduction of redundancy while maintaining comprehensive phase encoding coverage
2Adaptability or versatility
If antenna scale grows from hundreds to thousands, then beamforming capability is improved, but a large quantity of redundant codes are generated, affecting optimization quality
Solution Approach 1:
The patent extends the encoding from a single dimension (first-order terms only) to multiple dimensions by incorporating higher-order terms. This dimensional expansion allows the system to handle larger antenna scales more efficiently, improving adaptability while reducing the harmful effects of redundant codes on optimization quality
3Productivity
If conventional encoding methods are used, then encoding can be performed, but quantity of bits needed is large, reducing encoding efficiency
Solution Approach 1:
The patent extracts and utilizes higher-order term information that was previously overlooked in conventional encoding methods. By taking out and incorporating these additional term types, the system achieves more efficient encoding with fewer bits required, directly improving encoding productivity
Data Source
AI summary
A phase encoding method includes: determining, based on a plurality of to-be-encoded phases, a quantity of a plurality of bits needed for encoding the plurality of phases; generating first-order terms and higher-order terms of the plurality of bits; constructing a bit matrix based on the plurality of phases, the first-order terms, and the higher-order terms, where the bit matrix includes a plurality of value combinations of the plurality of bits; calculating a plurality of encoding coefficients based on the bit matrix and the plurality of phases; and encoding the plurality of phases by using the plurality of encoding coefficients. This method may be performed by any encoding process in which an encoding object is a discrete value.