Secure Wireless Information and Power Transfer in Heterogeneous Networks
In this paper, we investigate secure simultaneous wireless information and power transfer (SWIPT) in a two-tier downlink heterogeneous network (HetNet), wherein the ambient interference signals are exploited for both secure communications and wireless energy harvesting. We assume one macrocell base...
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doaj-bc79f8e4b7d5494086a593f333da8e742021-03-29T20:10:42ZengIEEEIEEE Access2169-35362017-01-0154967497910.1109/ACCESS.2017.26822777879205Secure Wireless Information and Power Transfer in Heterogeneous NetworksYuan Ren0Tiejun Lv1https://orcid.org/0000-0003-4127-2419Hui Gao2Yingxiang Li3School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, ChinaSchool of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, ChinaSchool of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, ChinaSchool of Communication Engineering, Chengdu University of Information Technology, Chengdu, ChinaIn this paper, we investigate secure simultaneous wireless information and power transfer (SWIPT) in a two-tier downlink heterogeneous network (HetNet), wherein the ambient interference signals are exploited for both secure communications and wireless energy harvesting. We assume one macrocell base station (MBS) and several femtocell base stations (FBSs) simultaneously send information to their macrocell users (MUs) and femtocell users, respectively. Meanwhile, the FBSs also transfer energy to some energy receivers, who act as the potential eavesdroppers and are able to wiretap the confidential messages to one MU via the cross-tier interference links. Exploiting interference in the considered HetNet, we jointly optimize the beamforming vectors and artificial noise of the MBS and the FBSs to maximize the secrecy rate of the eavesdropped MU under the quality-of-service, energy harvesting, and transmit power constraints at relevant receivers/transmitters. In particular, we first investigate the ideal case with perfect eavesdropper's channel state information (ECSI) and the optimization problem turns out to be nonconvex. By using the tools of semidefinite relaxation (SDR) and one-dimensional line search, we successfully transfer the original problem into a more tractable two-stage problem to obtain the optimal solution. Furthermore, we extend our study to the imperfect ECSI case, where the worst-case based solution is obtained with the aid of SDR and successive convex approximation. Simulation results demonstrate the effectiveness of the proposed algorithms and also bring useful insights into the design of secure SWIPT in the presence of interference.https://ieeexplore.ieee.org/document/7879205/Beamformingheterogeneous networkinterferencesimultaneous wireless information and power transfer (SWIPT)semidefinite programming (SDP) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yuan Ren Tiejun Lv Hui Gao Yingxiang Li |
spellingShingle |
Yuan Ren Tiejun Lv Hui Gao Yingxiang Li Secure Wireless Information and Power Transfer in Heterogeneous Networks IEEE Access Beamforming heterogeneous network interference simultaneous wireless information and power transfer (SWIPT) semidefinite programming (SDP) |
author_facet |
Yuan Ren Tiejun Lv Hui Gao Yingxiang Li |
author_sort |
Yuan Ren |
title |
Secure Wireless Information and Power Transfer in Heterogeneous Networks |
title_short |
Secure Wireless Information and Power Transfer in Heterogeneous Networks |
title_full |
Secure Wireless Information and Power Transfer in Heterogeneous Networks |
title_fullStr |
Secure Wireless Information and Power Transfer in Heterogeneous Networks |
title_full_unstemmed |
Secure Wireless Information and Power Transfer in Heterogeneous Networks |
title_sort |
secure wireless information and power transfer in heterogeneous networks |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2017-01-01 |
description |
In this paper, we investigate secure simultaneous wireless information and power transfer (SWIPT) in a two-tier downlink heterogeneous network (HetNet), wherein the ambient interference signals are exploited for both secure communications and wireless energy harvesting. We assume one macrocell base station (MBS) and several femtocell base stations (FBSs) simultaneously send information to their macrocell users (MUs) and femtocell users, respectively. Meanwhile, the FBSs also transfer energy to some energy receivers, who act as the potential eavesdroppers and are able to wiretap the confidential messages to one MU via the cross-tier interference links. Exploiting interference in the considered HetNet, we jointly optimize the beamforming vectors and artificial noise of the MBS and the FBSs to maximize the secrecy rate of the eavesdropped MU under the quality-of-service, energy harvesting, and transmit power constraints at relevant receivers/transmitters. In particular, we first investigate the ideal case with perfect eavesdropper's channel state information (ECSI) and the optimization problem turns out to be nonconvex. By using the tools of semidefinite relaxation (SDR) and one-dimensional line search, we successfully transfer the original problem into a more tractable two-stage problem to obtain the optimal solution. Furthermore, we extend our study to the imperfect ECSI case, where the worst-case based solution is obtained with the aid of SDR and successive convex approximation. Simulation results demonstrate the effectiveness of the proposed algorithms and also bring useful insights into the design of secure SWIPT in the presence of interference. |
topic |
Beamforming heterogeneous network interference simultaneous wireless information and power transfer (SWIPT) semidefinite programming (SDP) |
url |
https://ieeexplore.ieee.org/document/7879205/ |
work_keys_str_mv |
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