Multi-Dimensional Data Permutation for Wireless Signal Robustness
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Solution Overview
Problem
Existing wireless communication systems, such as LTE, do not maximize the advantages of diversity schemes in retransmissions, leading to suboptimal signal robustness and performance, as they typically apply only one diversity scheme at a time without intelligent combination of multiple schemes.
Innovation Solution
The implementation of multi-dimensional data permutation methods that combine various diversity schemes, such as antenna diversity and constellation bit-mapping, during retransmissions to enhance transmission diversity, using a processor-based system with a radio subsystem and programmable logic devices to dynamically permute data packets across multiple antennas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If only one diversity scheme is applied at a time in retransmissions, then the system complexity is reduced and ease of operation is improved, but signal robustness and transmission reliability deteriorate
Solution Approach 1:
The patent combines multiple diversity schemes (antenna diversity, constellation bit-mapping diversity, coding diversity) into a unified multi-dimensional permutation framework. The transmitter applies permutations across multiple dimensions simultaneously, and the receiver combines signals from multiple transmissions using corresponding permutation operations, achieving enhanced signal robustness through the merger of diverse diversity schemes
Solution Approach 2:
The patent extends traditional single-dimension diversity schemes by introducing multiple permutation dimensions (antenna dimension, constellation dimension, coding dimension). Each transmission uses different permutation combinations across these dimensions, transforming the system from single-dimension to multi-dimensional operation, thereby significantly improving signal robustness without linearly increasing complexity
2Reliability
If multiple diversity schemes are combined intelligently during retransmissions, then transmission diversity and signal robustness are improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent pre-defines a set of permutation matrices and permutation patterns that can be selected based on channel conditions and transmission requirements. These pre-computed permutation operations reduce the real-time processing complexity at both transmitter and receiver, while still enabling intelligent combination of multiple diversity schemes for enhanced transmission reliability
Solution Approach 2:
The patent dynamically adjusts permutation parameters (such as permutation depth, dimension selection, and matrix selection) based on channel quality indicators and transmission success/failure feedback. This adaptive parameter adjustment allows the system to optimize the balance between processing complexity and transmission reliability, applying more complex permutations only when necessary
Data Source
AI summary
Methods and apparatus that seek to increase the diversity seen in wireless communication systems by intelligently implementing a joint multi-dimensional permutation approach. In an exemplary embodiment, this is accomplished by combining the permutation of various transmitter antennas, various data streams (for example, in a MIMO configuration) and various constellation-bit mappings into a coherent multi-dimensional permutation scheme. Subsequent retransmissions in combination with an initial transmission are utilized to obtain substantial signal flattening at a receiver which increases the likelihood that retransmissions that follow detected errors will successfully convey the transmitted data to the receiver. Both open and closed-loop approaches are contemplated which take advantage of the multi-dimensional permutation schemes. In addition, embodiments utilized in the context of retransmission mechanisms such as HARQ are also contemplated.