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author:

Hu, Jinsong (Hu, Jinsong.) [1] (Scholars:胡锦松) | Shi, Xiaoqiang (Shi, Xiaoqiang.) [2] | Chen, Youjia (Chen, Youjia.) [3] (Scholars:陈由甲) | Zheng, Haifeng (Zheng, Haifeng.) [4] (Scholars:郑海峰) | Shu, Feng (Shu, Feng.) [5]

Indexed by:

EI SCIE

Abstract:

In this letter, a multiple antennas-based truncated channel inversion power control (CIPC) secure transmission scheme with artificial noise (AN) is proposed. Specifically, the transmitter with multiple antennas varies the transmit power as per channel to ensure the received signal power equals a certain constant value Q, and uses the residual power to transmit AN for interfering the eavesdropper. We first derive the expression for the probability of secure transmission. Relying on this, we then study the optimization problem in terms of the achieved effective secrecy throughput (EST), which quantifies the amount of information that the transmitter can securely send to the receiver, subject to the constraints that the probability of secure transmission is no less than a predetermined value. The numerical results show that increasing the transmission power will not continuously decrease the probability of secure transmission. Furthermore, we find that there exists an optimal Q to maximize the EST performance, and the optimal value of Q increases with the number of antennas.

Keyword:

Channel inversion power control effective secrecy throughput multiple antennas physical layer security

Community:

  • [ 1 ] [Hu, Jinsong]Fuzhou Univ, Coll Phys & Informat Engn, Fujian Key Lab Intelligent Proc & Wireless Transm, Fuzhou 350108, Peoples R China
  • [ 2 ] [Shi, Xiaoqiang]Fuzhou Univ, Coll Phys & Informat Engn, Fujian Key Lab Intelligent Proc & Wireless Transm, Fuzhou 350108, Peoples R China
  • [ 3 ] [Chen, Youjia]Fuzhou Univ, Coll Phys & Informat Engn, Fujian Key Lab Intelligent Proc & Wireless Transm, Fuzhou 350108, Peoples R China
  • [ 4 ] [Zheng, Haifeng]Fuzhou Univ, Coll Phys & Informat Engn, Fujian Key Lab Intelligent Proc & Wireless Transm, Fuzhou 350108, Peoples R China
  • [ 5 ] [Shu, Feng]Hainan Univ, Sch Informat & Commun Engn, Haikou 570228, Hainan, Peoples R China

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Source :

IEEE WIRELESS COMMUNICATIONS LETTERS

ISSN: 2162-2337

Year: 2022

Issue: 4

Volume: 11

Page: 781-785

6 . 3

JCR@2022

4 . 6 0 0

JCR@2023

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:61

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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