TY - JOUR
T1 - Covert Communications in D2D Underlaying Cellular Networks with Antenna Array Assisted Artificial Noise Transmission
AU - Jiang, Yu'e
AU - Wang, Liangmin
AU - Chen, Hsiao Hwa
N1 - Funding Information:
Manuscript received July 27, 2019; revised November 15, 2019; accepted December 26, 2019. Date of publication January 14, 2020; date of current version March 12, 2020. This work was supported in part by the National Natural Science Foundation of China under Grants U1736216, 61671186, and U1764263 and in part by the Taiwan Ministry of Science and Technology under Grants 106-2221-E-006-028-MY3 and 106-2221-E-006-021-MY3. The review of this article was coordinated by Dr. Z. Ding. (Corresponding authors: Liangmin Wang; Hsiao-Hwa Chen.) Y. Jiang is with the School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang 212013, China, and also with the University Key Laboratory of Intelligent Perception and Computing of Anhui Province, Anqing Normal University, Anqing 246003, China (e-mail: [email protected]).
Publisher Copyright:
© 1967-2012 IEEE.
PY - 2020/3
Y1 - 2020/3
N2 - Due to its high speed and low latency, D2D communication plays an important role in providing proximity data services in 5G systems, which may contain privacy sensitive data. Covert communication is useful to protect the privacy of user data against adversaries. In a D2D underlaying cellular network, an antenna array can be used at a base station (BS) to transmit artificial noise to confuse adversaries that try to detect D2D covert signals. Based on the numbers of antennas at BS, two covert schemes are presented in this work and their performances are evaluated in terms of D2D covert throughput, i.e., maximum achievable D2D data rate with the given covertness requirements. As only channel distribution information (CDI) of adversary links is known to the BS, the average minimum error probability (AMEP) is used as a metric to measure the covertness performance. In the proposed schemes, closed-form expressions of the minimum AMEP and achievable D2D data rate are derived. It is shown that the derivation of minimum AMEP can be simplified if either one or massive antennas are allocated for sending artificial noise. The analytical results are compared to Monte-Carlo simulation results to verify the feasibility of the proposed schemes. It is also revealed that covert throughput can be further improved by setting system parameters properly, e.g., the number of antennas at BS and artificial noise transmit power.
AB - Due to its high speed and low latency, D2D communication plays an important role in providing proximity data services in 5G systems, which may contain privacy sensitive data. Covert communication is useful to protect the privacy of user data against adversaries. In a D2D underlaying cellular network, an antenna array can be used at a base station (BS) to transmit artificial noise to confuse adversaries that try to detect D2D covert signals. Based on the numbers of antennas at BS, two covert schemes are presented in this work and their performances are evaluated in terms of D2D covert throughput, i.e., maximum achievable D2D data rate with the given covertness requirements. As only channel distribution information (CDI) of adversary links is known to the BS, the average minimum error probability (AMEP) is used as a metric to measure the covertness performance. In the proposed schemes, closed-form expressions of the minimum AMEP and achievable D2D data rate are derived. It is shown that the derivation of minimum AMEP can be simplified if either one or massive antennas are allocated for sending artificial noise. The analytical results are compared to Monte-Carlo simulation results to verify the feasibility of the proposed schemes. It is also revealed that covert throughput can be further improved by setting system parameters properly, e.g., the number of antennas at BS and artificial noise transmit power.
UR - http://www.scopus.com/inward/record.url?scp=85082038054&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85082038054&partnerID=8YFLogxK
U2 - 10.1109/TVT.2020.2966538
DO - 10.1109/TVT.2020.2966538
M3 - Article
AN - SCOPUS:85082038054
SN - 0018-9545
VL - 69
SP - 2980
EP - 2992
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 3
M1 - 8959086
ER -