Hierarchical Precoding Reduces Wireless Complexity
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Solution Overview
Problem
In high-power dense wireless communication networks, the complexity of cooperative communication calculations is increased due to numerous cooperative nodes, affecting the cooperative gain of the network.
Innovation Solution
A precoding method and system where a level 2 data center receives channel information from multiple level 1 data centers, calculates a level 2 precoding matrix, and generates a level 2 signal to reduce overall complexity and increase cooperative gain by selectively feeding back channel information based on frequency selectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If channel information is fed back to all cooperative base stations for cooperation, then interference reduction is improved, but calculation complexity of cooperative communication increases
Solution Approach 1:
The patent segments the cooperative communication system into two levels: level 1 data centers (cooperative base stations) and a level 2 data center (central unit). The level 1 data centers perform local precoding calculations independently, while the level 2 data center coordinates between different level 1 data centers. This segmentation reduces the calculation burden on individual nodes and enables distributed processing, thereby reducing overall system complexity while maintaining interference reduction benefits.
Solution Approach 2:
The level 2 data center acts as an intermediary between multiple level 1 data centers. It receives channel information from level 1 data centers, performs coordination calculations, and sends back precoding control information. This intermediary structure eliminates the need for direct complex calculations between all cooperative nodes, simplifying the cooperative communication process while maintaining effective interference management.
2Reliability
If multiple level 1 data centers perform cooperative processing, then cooperative gain is improved, but system complexity increases
Solution Approach 1:
The patent introduces a new organizational dimension by adding a level 2 data center that coordinates between level 1 data centers. This hierarchical dimension allows the system to manage multiple cooperative nodes more effectively, distributing the complexity across different levels while maintaining the cooperative gain through coordinated processing.
Solution Approach 2:
By segmenting the system into level 1 and level 2 data centers, the patent enables independent processing at the level 1 nodes while maintaining coordination at the level 2. This segmentation preserves cooperative gain through multi-node collaboration while reducing individual node complexity and overall system manageability.
Data Source
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AI summary
The present invention relates to the communications field, and in particular, to a precoding method. The method includes: receiving, by a level 2 data center, level 1 channel information sent by at least two level 1 data centers, where the level 1 channel information includes a channel matrix between a terminal and the level 1 data center; performing, by the level 2 data center, calculation according to the channel matrix, to obtain a level 2 precoding matrix; and generating, by the level 2 data center, a level 2 signal according to a signal sent to the terminal and the level 2 precoding matrix, and sending the level 2 signal to the level 1 data center. The level 2 data center generates the level 2 signal according to the signal sent to the terminal and the level 2 precoding matrix, so that overall complexity of calculation is reduced and a cooperative gain of wireless communication is increased.