Optimal Beamforming for Physical Layer Security in MISO Wireless Networks

TL;DR

This paper develops efficient algorithms for optimal beamforming in MISO wireless networks to enhance physical layer security and energy efficiency, addressing complex nonconvex optimization problems with practical numerical validation.

Contribution

It introduces low-complexity, rapid-convergence computational procedures for optimal beamforming under various channel knowledge scenarios, advancing secure wireless communication techniques.

Findings

Algorithms achieve near-optimal secrecy throughput

Procedures demonstrate fast convergence in simulations

Enhanced energy efficiency in secure transmissions

Abstract

A wireless network of multiple transmitter-user pairs overheard by an eavesdropper, where the transmitters are equipped with multiple antennas while the users and eavesdropper are equipped with a single antenna, is considered. At different levels of wireless channel knowledge, the problem of interest is beamforming to optimize the users' quality-of-service (QoS) in terms of their secrecy throughputs or maximize the network's energy efficiency under users' QoS. All these problems are seen as very difficult optimization problems with many nonconvex constraints and nonlinear equality constraints in beamforming vectors. The paper develops path-following computational procedures of low-complexity and rapid convergence for the optimal beamforming solution. Their practicability is demonstrated through numerical examples.