Power Allocation and Time-Domain Artificial Noise Design for Wiretap OFDM with Discrete Inputs
Haohao Qin, Yin Sun, Tsung-Hui Chang, Xiang Chen, Chong-Yung Chi, Ming, Zhao, Jing Wang

TL;DR
This paper investigates power allocation and artificial noise design for OFDM wiretap channels with practical discrete inputs, proposing a low-complexity algorithm and a novel time-domain artificial noise method to enhance secrecy rates.
Contribution
It introduces a low-complexity power allocation algorithm for discrete-input OFDM wiretap channels and a novel time-domain artificial noise scheme exploiting OFDM cyclic prefix.
Findings
Secrecy rate function is nonconcave with respect to power for discrete inputs.
The proposed algorithm's duality gap diminishes as O(1/√N).
Time-domain artificial noise improves secrecy rate with a single antenna.
Abstract
Optimal power allocation for orthogonal frequency division multiplexing (OFDM) wiretap channels with Gaussian channel inputs has already been studied in some previous works from an information theoretical viewpoint. However, these results are not sufficient for practical system design. One reason is that discrete channel inputs, such as quadrature amplitude modulation (QAM) signals, instead of Gaussian channel inputs, are deployed in current practical wireless systems to maintain moderate peak transmission power and receiver complexity. In this paper, we investigate the power allocation and artificial noise design for OFDM wiretap channels with discrete channel inputs. We first prove that the secrecy rate function for discrete channel inputs is nonconcave with respect to the transmission power. To resolve the corresponding nonconvex secrecy rate maximization problem, we develop a…
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