Joint optimization method for access control and beamforming in downlink MISO network

Abstract

The invention discloses a joint optimization method for access control and beamforming in a downlink MISO network, which comprises the following steps: S1, initializing outer parameters and configuration in a downlink MISO network; S2, calculating and saving an outer-layer current user access status indication quantity matrix by assignment according to the outer parameters and configuration; S3, according to the outer parameters and the configuration, calculating an outer-layer next-generation user access status indication quantity matrix and an outer-layer next-generation beamforming matrix;S4, judging whether to meet the requirements according to the outer-layer current user access status indication quantity matrix, the outer-layer next-generation user access status indication quantitymatrix and the outer-layer iteration number indication quantity; if yes, outputting the outer-layer next-generation user access status indication quantity matrix and the outer-layer next-generation beamforming matrix to realize joint optimization of beamforming; otherwise, entering the step S2. The joint optimization method for access control and beamforming in a downlink MISO network in the invention solves the problems of complex operations, low practicability, high maintenance cost and large capital investment, which exist in the prior art.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a joint optimization method of access control and beamforming in a downlink MISO network. Background technique [0002] As a solution to alleviate network congestion, access control technology has received great attention in recent decades. Usually, access control, power control, and beamforming work together to make the network serve as many users as possible within the acceptable range of QoS. Since these problems are NP-hard (NP-hard problems mean that there is no algorithm with polynomial time to solve this problem), researchers in recent years have proposed various efficient approximation algorithm suboptimal solutions, including Lp approximation, DC programming, second-order cone programming (SOCP), semidefinite relaxation (SDR), etc., to achieve acceptable complexity processing. [0003] Although the existing schemes are different in formula derivation and...

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Problems solved by technology

[0006] Aiming at the above deficiencies in the prior art, the present invention provides a joint optimization method for access control and beamforming in a downlink MISO network that is easy to operate, reduces operation and maintenance costs, and saves capital investment, which improves practicability and solves the problem of The existing technology has the problems of complex operation, low practicability, high operation and maintenance costs, and large capital investment

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