TY - GEN
T1 - On physical layer security in finite-area wireless networks
T2 - 86th IEEE Vehicular Technology Conference, VTC Fall 2017
AU - Liu, Jiajia
AU - Dai, Jiahao
AU - Shi, Yongpeng
AU - Sun, Wen
AU - Kato, Nei
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/2/8
Y1 - 2018/2/8
N2 - This paper analyzes the information theoretic secrecy performance in finite-area wireless networks based on a stochastic geometry framework. Unlike most prior works, which explored the physical layer security with a large number of transmitters, legitimate receivers and eavesdroppers in infinite regions, we consider a finite downlink wireless network composing of a transmitter, a legitimate receiver and several eavesdroppers. The legitimate receiver attempts to receive confidential data from the transmitter in the presence of the eavesdroppers. We present the probabilistic characteristics of the achievable secrecy rates and average secrecy rates in both disk regions and regular -sided convex polygon regions. As shown by extensive numerical results, the proposed framework could be leveraged to efficiently analyze the secrecy performance of finite-area networks, and give insights for network designers on how to achieve good secrecy performance in finite-area networks.
AB - This paper analyzes the information theoretic secrecy performance in finite-area wireless networks based on a stochastic geometry framework. Unlike most prior works, which explored the physical layer security with a large number of transmitters, legitimate receivers and eavesdroppers in infinite regions, we consider a finite downlink wireless network composing of a transmitter, a legitimate receiver and several eavesdroppers. The legitimate receiver attempts to receive confidential data from the transmitter in the presence of the eavesdroppers. We present the probabilistic characteristics of the achievable secrecy rates and average secrecy rates in both disk regions and regular -sided convex polygon regions. As shown by extensive numerical results, the proposed framework could be leveraged to efficiently analyze the secrecy performance of finite-area networks, and give insights for network designers on how to achieve good secrecy performance in finite-area networks.
UR - http://www.scopus.com/inward/record.url?scp=85045259602&partnerID=8YFLogxK
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U2 - 10.1109/VTCFall.2017.8288180
DO - 10.1109/VTCFall.2017.8288180
M3 - Conference contribution
AN - SCOPUS:85045259602
T3 - IEEE Vehicular Technology Conference
SP - 1
EP - 5
BT - 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 24 September 2017 through 27 September 2017
ER -