An efficient capacity optimization method for multi-antenna transmission under feedback constraints

Abstract

The invention discloses an effective capacity optimization method of multi-antenna transmission under feedback limitation. Firstly, a source node pre-codes the information, and then performs data transmission with a destination node in a beam forming manner. In the precoding of the source node, channel state information needs to be obtained, so that the destination node performs channel estimationat first, and feeds back the estimated channel state information to the source node after quantifying the same. As the accuracy of channel quantization is higher, the precoding performance of the source node is better, but this also increases the feedback cost. By application of the effective capacity optimization method of multi-antenna transmission under feedback limitation disclosed by the invention, the optimal channel feedback quantization bit is sought, and the effectiveness and the reliability of wireless transmission are improved under the condition of limited feedback cost, and the effective capacity of the multi-antenna transmission is significantly improved at the same time.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, in particular to a method for optimizing the effective capacity of multi-antenna transmission under limited feedback. Background technique [0002] With the rapid development of wireless communication technology and the increasing number of users, the problem of insufficient spectrum resources has become more and more serious, which has become a bottleneck in the development of wireless communication. Limited spectrum resources. Multi-antenna technology can double the channel capacity of the system and greatly improve the flexibility and transmission efficiency of the system without increasing the spectrum resources and antenna transmission power by processing the air and time domains of the transmitted and received signals. It effectively improves the capacity and quality of the system, thus becoming one of the core technologies of the new generation of wireless communication. T...

AI Technical Summary

Problems solved by technology

In this way, the channel state cannot be perfectly known under the condition of limited feedback amount, and the improvement of channel capacity is limited

Secondly, using feedback at the receiving end can improve the quality of the channel, but if the transmit power is constant and the feedback amount is increased, the capacity of the main channel will increase, but at the same time it will lead to an increase in the capacity of the feedback channel; when the amount of feedback is too large, the channel’s The effective capacity will be reduced, which will affect the quality of communication

In addition, if the amount of feedback is increased, the system complexity will increase

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