Name
Abstract | ||
|---|---|---|
© 2015 IEEE. In this paper, we study the multiple-input multiple-output wiretap channel for simultaneous wireless information and power transfer, in which there is a base station (BS), an information-decoding (ID) user, and an energy-harvesting (EH) user. The messages intended to the ID user is required to be kept confidential to the EH user. Our objective is to design the optimal transmit covariance matrix at the BS for maximizing the ergodic secrecy rate subject to the harvested energy requirement for the EH user exploiting only statistical channel state information at the BS. To this end, we begin by deriving an approximation for the ergodic secrecy rate using large-dimensional random matrix theory and the method of Taylor series expansion. This approximation enables us to derive the asymptotic-optimal transmit covariance matrix that achieves the tradeoff for ergodic secrecy rate and harvested energy. The simulation results are provided to verify the accuracy of the approximation and show that a bigger rate-energy region can be achieved when the Rician factor increases or the path loss exponent decreases. We also show that when the transmit correlation increases or the distance between the eavesdropper and the BS decreases, the harvested energy will be increased, while the achieved ergodic secrecy rate decreases. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TIFS.2015.2477050 | Information Forensics and Security, IEEE Transactions |
Keywords | Field | DocType |
MIMO communication,Rician channels,channel coding,covariance matrices,data communication,decoding,energy harvesting,radiofrequency power transmission,statistical analysis,telecommunication power management,Rician factor,SWIPT MIMO wiretap channel,Taylor series expansion,asymptotic-optimal transmit covariance matrix,base station,energy-harvesting user,ergodic secrecy rate,information-decoding user,large system secrecy rate analysis,large-dimensional random matrix theory,multiple-input multiple-output wiretap channel,optimal transmit covariance matrix design,path loss exponent,simultaneous wireless information and power transfer,statistical channel state information,MIMO wiretap channel,SWIPT,energy harvesting,large dimensional random matrix theory | Base station,Wireless,Computer science,Theoretical computer science,Artificial intelligence,Channel state information,Topology,Pattern recognition,Ergodic theory,Communication channel,MIMO,Covariance matrix,Rician fading | Journal |
Volume | Issue | ISSN |
11 | 1 | 1556-6013 |
Citations | PageRank | References |
39 | 1.01 | 33 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Zhang | 1 | 95 | 11.09 |
| Chau Yuen | 2 | 4493 | 263.28 |
| Chao-kai Wen | 3 | 1290 | 94.18 |
| Shi Jin | 4 | 3744 | 274.70 |