Artificial Noise Elimination: From the Perspective of Eavesdroppers
2022 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 70, no 7, p. 4745-4754Article in journal (Refereed) Published
Abstract [en]
Artificial noise (AN), aiming to disturb the eavesdropper while avoiding the influence on the legitimate receiver, has arisen as an excellent technology for improving the physical-layer security of wireless communications. In order to challenge AN, zero-forcing elimination (ZFE) has been introduced as a possible countermeasure to mitigate the AN for the eavesdropper at the cost of more available receive antennas. In this contribution, from the perspective of eavesdroppers, we further conceive a class of efficient null-space elimination (NSE) schemes in order to reduce the number of receive antennas while enhancing the detection quality compared to original ZFE. Furthermore, the performance of secrecy rate as well as bit-error rate (BER) is quantified for both ZFE and NSE schemes through theoretical derivation, while the influence of imperfect channel state information (CSI) is also evaluated. The performance comparison of the above-mentioned schemes illustrates that NSE can provide more robust performance for eavesdroppers over ZFE, with lower hardware requirements as well as moderate complexity increase.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. Vol. 70, no 7, p. 4745-4754
Keywords [en]
MIMO communication, Wireless communication, Signal to noise ratio, Interference, Eigenvalues and eigenfunctions, Detectors, Receiving antennas, Artificial noise (AN), zero-forcing elimination (ZFE), null-space elimination (NSE), secrecy rate, bit-error rate (BER), computational complexity, imperfect channel state information (CSI)
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:kth:diva-316124DOI: 10.1109/TCOMM.2022.3178769ISI: 000828695900035Scopus ID: 2-s2.0-85131737939OAI: oai:DiVA.org:kth-316124DiVA, id: diva2:1686506
Note
QC 20220810
2022-08-102022-08-102022-08-10Bibliographically approved