Alternating Direction Based Sequential Boolean Quadratic Programming Method for Transmit Antenna Selection

TL;DR

This paper introduces a new Boolean quadratic programming algorithm based on alternating direction methods to optimize transmit antenna selection in 5G systems, aiming to reduce energy consumption efficiently.

Contribution

The paper presents a novel alternating direction-based sequential Boolean quadratic programming method specifically designed for antenna selection in 5G, improving efficiency and accuracy.

Findings

Achieves high complementarity satisfaction accuracy

Requires only a few steps to converge

Effectively reduces power consumption in 5G antenna systems

Abstract

The wireless mobile communication system is updated and iterated on the whole almost every decade. It is now in the development period of the application scenarios of the fifth generation mobile communication system (5G). Unfortunately, 5G relies on plenty of small base stations with a large number of antennas that consume a lot of energy. In this paper, a novel Boolean variable quadratic programming algorithm is designed for the antenna selection optimization problem to reduce power consumption. Experiments show that the proposed algorithm achieves high complementarity satisfaction accuracy with only a few steps.