On the Optimum Secrecy Outage Probability and Ergodic Secrecy Rate over Wireless Channels
Clement Leroy, Tarak Arbi, Benoit Geller, Olivier Rioul

TL;DR
This paper analyzes the optimal input distributions for maximizing secrecy metrics in wireless channels with unknown instantaneous states, deriving conditions and closed-form expressions for Rayleigh fading scenarios.
Contribution
It introduces new partial orderings for channels and identifies optimal Gaussian inputs under these conditions for various secrecy metrics.
Findings
Optimal Gaussian input is best when main channel is less noisy than eavesdropper.
Closed-form secrecy metric expressions are derived for Rayleigh fading channels.
Optimality results hold under specific channel ordering assumptions and without them for single-antenna channels.
Abstract
We study the secrecy of wireless channels in the presence of an eavesdropper, where the channels are random and the transmitter only has knowledge of the channel statistics. We investigate the optimal input distribution with respect to several secrecy metrics: the Secrecy Outage Probability (SOP), defined as the probability that the coding rate exceeds the instantaneous secrecy rate; the Ergodic Secrecy Rate (ESR), defined as the expected secrecy rate over channel realizations; and the Ergodic Positive Secrecy Rate (EPSR), defined as the expected value of the positive part of the secrecy rate. We introduce two partial orderings for random channels: the uniformly less noisy order and the less noisy on average order. We show that when the main channel is uniformly less noisy than the eavesdropper channel, the optimal input distribution is a non-precoded Gaussian input for both the SOP…
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