Iterative Antenna Selection for Secrecy Enhancement in Massive MIMO Wiretap Channels

TL;DR

This paper proposes an iterative antenna selection algorithm for massive MIMO wiretap channels that improves secrecy performance while reducing computational complexity, addressing the challenge of optimal selection in large systems.

Contribution

It introduces a novel iterative antenna selection method tailored for massive MIMO wiretap channels, offering a practical alternative to exhaustive search.

Findings

Significant secrecy performance enhancement demonstrated.

Algorithm reduces computational complexity compared to exhaustive search.

Effective in large-scale multiuser MIMO wiretap scenarios.

Abstract

The growth of interest in massive MIMO systems is accompanied with hardware cost and computational complexity. Antenna selection is an efficient approach to overcome this cost-plus-complexity issue which also enhances the secrecy performance in wiretap settings. Optimal antenna selection requires exhaustive search which is computationally infeasible for settings with large dimensions. This paper develops an iterative algorithm for antenna selection in massive multiuser MIMO wiretap settings. The algorithm takes a stepwise approach to find a suitable subset of transmit antennas. Numerical investigations depict a significant enhancement in the secrecy performance.