Distributed Interference Alignment for Vehicle-to-Vehicle Communication
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Solution Overview
Problem
Existing interference alignment systems face challenges in achieving stable vehicle-to-vehicle communication due to the need for synchronous control of communication systems using the same wireless resources, which complicates the elimination of interference.
Innovation Solution
A system and method for distributed interference alignment, comprising a retrieving module, a determination module, and a precoding module, which retrieves source data, determines requirements for IA groups, and calculates precoding vectors to generate transmission signals that align interference into a different signal subspace from desired signals, enabling effective interference elimination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all communication systems using the same wireless resources are involved and controlled synchronously, then interference alignment can be achieved, but system complexity and difficulty of coordination increase
Solution Approach 1:
The patent divides the communication system into multiple independent IA groups, where each group operates autonomously with its own precoding vectors. This segmentation allows interference alignment to be achieved locally within each group without requiring global synchronous control across all systems, thereby reducing overall system complexity while maintaining alignment reliability.
Solution Approach 2:
The system performs preliminary classification of communication systems into different IA groups based on interference relationships before transmission. By pre-organizing systems into groups where interference can be effectively managed, the patent avoids the need for complex real-time synchronous control while ensuring reliable interference alignment within each group.
2Device complexity
If distributed autonomous control is implemented, then system complexity is reduced, but achieving stable interference alignment becomes more difficult
Solution Approach 1:
The patent changes the control parameter from global synchronous timing to local precoding vector selection within IA groups. Each group independently adjusts its precoding vectors based on local interference conditions, achieving stable interference alignment through parameter optimization rather than complex synchronous coordination, thus maintaining reliability while reducing system complexity.
Data Source
AI summary
A system and method for realizing distributed interference alignment is disclosed. The system comprises a retrieving module, a determination module and a precoding module. The retrieving module retrieves source data. The determination module generates data describing one or more requirements for one or more associated Interference Alignment (IA) groups. The precoding module calculates a precoding vector based at least in part on the data describing the one or more requirements for the one or more associated IA groups. The precoding module is communicatively coupled to the retrieving module to receive the source data. The precoding module generates a transmission signal based at least in part on the precoding vector and the source data.