Multi-group multicast joint beamforming algorithm design based on intelligent reflecting surface

Abstract

The invention discloses a multi-group and multicast joint beamforming algorithm design based on an intelligent reflecting surface. Particularly, under the single-mode constraint condition that the maximum transmitting power of the base station and the phase deviation of the IRS reflection unit are given, the method aims at designing a joint optimization strategy and algorithm of base station transmitting beams and IRS reflection phase deviation with fair user service quality. Aiming at the established non-convex and multivariable fractional optimization problem, the method is based on a fractional programming theory and an alternating optimization technology, and adopts a generalized Dinkelbach's algorithm (GDA) to carry out conversion solution. For complex sub-problems in the GDA algorithm, a matrix lifting technology is adopted to be converted into a positive semidefinite programming problem for optimization, and a feasible solution meeting the requirement that the rank is 1 is obtained through a Gaussian randomization technology. Through computer simulation verification and comparison, it is shown that the scheme provided by the invention can significantly improve the received signal to interference plus noise ratio (SINR) of the user with the worst link quality in the network.

Description

technical field [0001] The invention relates to the technical field of network communication, relates to a joint resource optimization algorithm based on an intelligent reflection surface, and designs a combined base station transmission beamforming and IRS reflection phase offset optimization (reflection beamforming) algorithm for end user SINR fairness. Background technique [0002] According to industry predictions, the future wireless communication network capacity will increase by 1,000 times on the current basis, and the number of ubiquitous wireless device links is expected to exceed 100 billion in the 6G network communication era. In addition, while committed to improving network capacity, future networks will pay more attention to performance indicators such as low power consumption, high spectral efficiency, and low latency. In order to meet these requirements, IRS assisted communication technology came into being. By adjusting the reflective surface components to ...

AI Technical Summary

Problems solved by technology

However, if the IRS is introduced into the traditional wireless mobile network, the joint resource optimization design must be carried out for the network transmitter and the IRS to tap its potential performance gain. shift, not only can not obtain effective performance gain but also may seriously deteriorate the network performance

[0005] At present, most of the research based on IRS is limited to the research on the wireless network unicast traffic mode, and the research on the broadcast traffic mode and the multicast traffic mode in hotspot areas is still rare.

In addition, the research in the initial stage pays more attention to the improvement of the global performance of the network, while ignoring the fair service quality requirements of end users

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