This paper investigates artificial noise (AN) injection along the temporal and spatial dimensions of a legitimate system to secure its transmissions from potential eavesdropping. In particular, we consider a multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) system in the presence of a multiple-antenna passive eavesdropper and characterize both the secrecy rate and average secrecy rate of the legitimate system. We assume that the legitimate transmitter knows the full channel state information (CSI) of the links connecting it with its legitimate receiver but does not know the instantaneous CSI of the passive eavesdropper. Closed-form expressions for the secrecy rate and average secrecy rate are derived for the asymptotic case of a large number of transmit antennas. We compare the degrading effects of spatial and temporal AN on the eavesdropper's rate. We also investigate the power allocation between the data and the AN and the power allocation between the spatial and the temporal AN. An upper bound on the secrecy rate loss due to the presence of the eavesdropper is also derived, and computer simulations are carried out to demonstrate the performance of our proposed AN scheme. , secrecy rate, temporal and spatial artificial noise (AN) , wiretap channel. Ahmed El Shafie received the B.Sc. degree (with accumulative grade of distinction with honor) in electrical engineering from Alexandria University, Alexandria, Egypt, in 2009 and the M.Sc. degree in communication and information technology from Nile University, Giza, Egypt, in 2014. He is currently working toward the Ph.D. degree with the University of Texas at Dallas, Dallas, TX, USA. El Shafie was the Exemplary Reviewer for the IEEE TRANSACTIONS ON COMMUNICATIONS in 2015. Index Terms-Fading channels, massive multiple-input multiple-output (MIMO), MIMO eavesdropper (MIMOME) channels
In REF , a hybrid spatial and temporal AN scheme to protect the confidential information in a masive MIMO OFDM system was proposed.
Hybrid Spatio-Temporal Artificial Noise Design for Secure MIMOME-OFDM Systems
IEEE Transactions on Vehicular Technology
IEEE Transactions on Vehicular Technology
Computer Science Mathematics