Hybrid Spatio-Temporal Artificial Noise Design for Secure MIMOME-OFDM Systems
Ahmed El Shafie, Zhiguo Ding, Naofal Al-Dhahir

TL;DR
This paper proposes a hybrid spatio-temporal artificial noise scheme for secure MISO-OFDM systems, deriving closed-form secrecy rate expressions and optimizing power allocation to enhance security against passive eavesdroppers.
Contribution
It introduces a novel hybrid artificial noise design in both spatial and temporal domains for secure wireless communication, with analytical secrecy rate formulas and power allocation strategies.
Findings
Closed-form secrecy rate expressions derived for large antenna systems
Optimized power allocation improves secrecy performance
Simulation results validate the effectiveness of the proposed scheme
Abstract
This paper investigates artificial noise injection into the temporal and spatial dimensions of a legitimate wireless communication system to secure its transmissions from potential eavesdropping. We consider a multiple-input single-output (MISO) orthogonal frequency division multiplexing (OFDM) system in the presence of a single-antenna passive eavesdropper and derive both the secrecy rate and average secrecy rate of the legitimate system. It is assumed that the legitimate transmitter knows the full channel information of the legitimate transceivers but does not know the instantaneous channel state information of the passive eavesdropper. Closed-form expressions for the secrecy rate and average secrecy rate are derived for the asymptotic case with a large number of transmit antennas. We also investigate 1) the power allocation between the data and the AN; 2) the power allocation between…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWireless Communication Security Techniques · Wireless Signal Modulation Classification
See pages 1-last of arxiv.pdf
