TY - GEN
T1 - Perfectly Covert Communication with a Reflective Panel
AU - Elimelech, Or
AU - Cohen, Asaf
N1 - Publisher Copyright: © 2024 IEEE.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - This work considers the problem of perfect covert communication in wireless networks. Specifically, harnessing an Intelligent Reflecting Surface (IRS), we turn our attention to schemes that allow the transmitter to completely hide the communication, with zero energy at the unwanted listener (Willie) and hence zero probability of detection. Applications of such schemes go beyond simple covertness, as we prevent detectability or decoding even when the codebook, timings, and channel characteristics are known to Willie. We define perfect covertness, give a necessary and sufficient condition for it in IRS-assisted communication, and define the optimization problem. We analyze the probability of finding a solution for two IRS elements and derive its closed form. We then investigate the problem of more than two IRS elements and prove that this probability converges to 1 as the number of elements tends to infinity. We provide an iterative algorithm to find a perfectly covert solution and prove its convergence. The results are also supported by simulations, showing that a small amount of IRS elements allows for a positive rate at the legitimate user yet with zero probability of detection at an unwanted listener.
AB - This work considers the problem of perfect covert communication in wireless networks. Specifically, harnessing an Intelligent Reflecting Surface (IRS), we turn our attention to schemes that allow the transmitter to completely hide the communication, with zero energy at the unwanted listener (Willie) and hence zero probability of detection. Applications of such schemes go beyond simple covertness, as we prevent detectability or decoding even when the codebook, timings, and channel characteristics are known to Willie. We define perfect covertness, give a necessary and sufficient condition for it in IRS-assisted communication, and define the optimization problem. We analyze the probability of finding a solution for two IRS elements and derive its closed form. We then investigate the problem of more than two IRS elements and prove that this probability converges to 1 as the number of elements tends to infinity. We provide an iterative algorithm to find a perfectly covert solution and prove its convergence. The results are also supported by simulations, showing that a small amount of IRS elements allows for a positive rate at the legitimate user yet with zero probability of detection at an unwanted listener.
KW - Covert Communication
KW - Intelligent Reflecting Surface
KW - Perfect Covertness
KW - Zero Probability Detection
UR - http://www.scopus.com/inward/record.url?scp=105002690751&partnerID=8YFLogxK
U2 - 10.1109/IEEECONF60004.2024.10943031
DO - 10.1109/IEEECONF60004.2024.10943031
M3 - Conference contribution
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 1542
EP - 1546
BT - Conference Record of the 58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024
A2 - Matthews, Michael B.
T2 - 58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024
Y2 - 27 October 2024 through 30 October 2024
ER -