Beamforming method and device based on cooperative area division

Abstract

This application provides a beamforming method and device based on the division of cooperation areas, constructing a square cell according to the distribution of base stations and users, and obtaining the model of the cell; dividing the cooperation of the cell according to the division algorithm of the square cooperation area and the division algorithm of the circle cooperation area area to obtain the extended cooperative users of the cell; based on the channel estimation matrix between the base station and the extended cooperative users outside the cell and the channel estimation matrix between the base station and the users in the cell, define the base station's prediction for the users in the cell Coding vector; according to the SINR of the users in the cell, calculate the downlink user rate of the users in the cell; calculate the energy efficiency of the communication system in the cell according to the downlink user rate and system power consumption of the users in the cell; the communication system energy efficiency of the cell is the most Optimum is the optimization goal, and the best cooperation area of ​​the cell is calculated. The present invention effectively improves system energy efficiency while ensuring efficient coverage of the system.

Description

technical field [0001] The present invention relates to the field of communication technologies, and more specifically, to a beamforming method and device based on division of cooperative areas. Background technique [0002] In order to cope with the rapid growth of mobile communication traffic and the substantial increase in the number of wireless access terminals, the next generation (5thGeneration, 5G) mobile communication system requires higher system performance and service quality. In order to obtain better communication service quality, 5G communication network needs not only to increase the total capacity, but also to focus on solving the worst service quality of users, especially the communication service quality of edge users, to ensure the fairness of user services. [0003] Due to its huge potential in terms of spectrum and energy efficiency, massive multiple-input-output (English full name: Massive Multiple-input Multiple-output, English abbreviation: Massive MI...

AI Technical Summary

Problems solved by technology

Although Massive MIMO technology has many advantages, the increasing number of users and higher quality of service requirements make the interference management (English full name: Interference management, English abbreviation: IM) in Massive MIMO networks more difficult to deal with.

Therefore, under the deployment of base stations using Massive MIMO technology, how to improve system energy efficiency and link reliability through interference management has become a very challenging topic

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