Cooperative MIMO Communication for Cell-Edge Interference Cancellation
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Solution Overview
Problem
Existing multi-user MIMO communication systems face challenges in improving data transmission rates for users at the cell edge due to limited channel information feedback and interference, especially when multiple antennas are involved.
Innovation Solution
A cooperative multi-antenna communication method is employed, where a base station transmits data to node groups in a TDMA mode, and nodes within these groups perform quantization, encoding, and MIMO signal processing to eliminate interference without requiring channel feedback, thereby enhancing communication quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a multi-user MIMO communication system uses multiple antennas at the base station to improve cell capacity, then the data transmission rate can be improved, but the transmitting end cannot obtain complete channel information of every receiving end due to time-varying channel characteristics and feedback overhead
Solution Approach 1:
The system enables receiving ends to autonomously perform MIMO signal processing and interference cancellation without requiring the transmitting end to provide complete channel information. Each receiving end independently processes signals from multiple base station antennas, eliminating the need for extensive channel feedback while maintaining high data transmission rates
Solution Approach 2:
The invention extracts and removes the requirement for channel information feedback from the system. By designing a method where receiving ends independently perform signal processing and interference cancellation, the system eliminates the feedback overhead and information loss associated with traditional MIMO systems
2Adaptability or versatility
If the transmitting end receives complete channel information feedback from every receiving end to support multiple antennas, then the system complexity and feedback overhead increase significantly
Solution Approach 1:
Receiving ends autonomously perform MIMO signal processing and interference cancellation operations without requiring complex feedback mechanisms. This self-service approach enables multi-antenna support while dramatically reducing feedback overhead, as receiving ends independently handle signal processing tasks that would otherwise require extensive transmitting end coordination
Solution Approach 2:
The invention removes the complex feedback overhead requirement from the system architecture. By enabling receiving ends to independently process signals and cancel interference, the system achieves multi-antenna versatility without the burden of complete channel information feedback
3Reliability
If traditional MIMO processing is used at the receiving end, then interference cannot be effectively eliminated for users at the cell edge, but cooperative processing with multiple nodes increases processing complexity
Solution Approach 1:
The invention merges multiple receiving ends into cooperative node groups that jointly process signals. Nodes within each group share received signals and collectively perform MIMO signal processing and interference cancellation, enabling effective interference elimination for cell edge users while distributing processing complexity across multiple nodes rather than concentrating it in a single receiver
Solution Approach 2:
The system segments the network into multiple node groups, where each group independently performs cooperative MIMO processing. This segmentation allows interference cancellation to be applied locally within groups, improving communication quality for cell edge users while managing processing complexity through distributed architecture
Data Source
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AI summary
A method of cooperative multi-antenna communication between a base station and node existing in a wireless network is provided. A cooperative multi-antenna communication method includes receiving data from at least one node of a node group that receives data from a base station, performing multiple input multiple output (MIMO) signal processing with respect to the received data, the MIMO signal processing indicating signal processing performed in a receiving end of a MIMO system, and transmitting the signal processed data to at least one target node.