Power Allocation for Energy Efficiency and Secrecy of Interference Wireless Networks

TL;DR

This paper proposes low-complexity power allocation methods to enhance energy efficiency and secrecy in interference wireless networks under various channel information scenarios, demonstrating high secrecy throughput and energy efficiency.

Contribution

It introduces novel path-following algorithms for optimal power allocation considering different levels of channel state information in interference networks.

Findings

Achieves high secrecy throughput and energy efficiency.

Effective algorithms with rapid convergence.

Validated through numerical simulations.

Abstract

Considering a multi-user interference network with an eavesdropper, this paper aims at the power allocation to optimize the worst secrecy throughput among the network links or the secure energy efficiency in terms of achieved secrecy throughput per Joule under link security requirements. Three scenarios for the access of channel state information are considered: the perfect channel state information, partial channel state information with channels from the transmitters to the eavesdropper exponentially distributed, and not perfectly known channels between the transmitters and the users with exponentially distributed errors. The paper develops various path-following procedures of low complexity and rapid convergence for the optimal power allocation. Their effectiveness and viability are illustrated through numerical examples. The power allocation schemes are shown to achieve both high secrecy throughput and energy efficiency.