Secrecy Energy Efficiency Optimization for Artificial Noise Aided Physical-Layer Security in OFDM-Based Cognitive Radio Networks
Yuhan Jiang, Yulong Zou, Jian Ouyang, and Jia Zhu

TL;DR
This paper develops power allocation schemes for OFDM-based cognitive radio networks to maximize secrecy energy efficiency, considering both known and unknown eavesdropper channel information, and demonstrates their superior performance over traditional methods.
Contribution
It introduces novel ICSI and SCSI based secrecy energy efficiency maximization schemes with convex approximation techniques for secure OFDM cognitive radio networks.
Findings
ICSI-SEEM outperforms SCSI-SEEM in secrecy energy efficiency.
Proposed algorithms achieve near-optimal solutions.
Schemes outperform conventional secrecy and energy efficiency maximization methods.
Abstract
In this paper, we investigate the power allocation of primary base station (PBS) and cognitive base station (CBS) across different orthogonal frequency division multiplexing (OFDM) subcarriers for energy-efficient secure downlink communication in OFDM-based cognitive radio networks (CRNs) with the existence of an eavesdropper having multiple antennas. We propose a secrecy energy efficiency maximization (SEEM) scheme by exploiting the instantaneous channel state information (ICSI) of the eavesdropper, called ICSI based SEEM (ICSI-SEEM) scheme with a given total transmit power budget for different OFDM subcarriers of both PBS and CBS. As for the case when the eavesdropper's ICSI is unknown, we also propose an SEEM scheme through using the statistical CSI (SCSI) of the eavesdropper, namely SCSI based SEEM (SCSI-SEEM) scheme. Since the ICSI-SEEM and SCSI-SEEM problems are fractional and…
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Taxonomy
TopicsWireless Communication Security Techniques · Advanced MIMO Systems Optimization · Cooperative Communication and Network Coding
