IEICE TRANSACTIONS on Fundamentals
AN-Aided Transmission Design for Secure MIMO Cognitive Radio Network with SWIPT
Summary :
In this work, we investigate a joint transmit beamforming and artificial noise (AN) covariance matrix design in a multiple-input multiple-output (MIMO) cognitive radio (CR) downlink network with simultaneous wireless information and power transfer (SWIPT), where the malicious energy receivers (ERs) may decode the desired information and hence can be treated as potential eavesdroppers (Eves). In order to improve the secure performance of the transmission, AN is embedded to the information-bearing signal, which acts as interference to the Eves and provides energy to all receivers. Specifically, this joint design is studied under a practical non-linear energy harvesting (EH) model, our aim is to maximize the secrecy rate at the SR subject to the transmit power budget, EH constraints and quality of service (QoS) requirement. The original problem is not convex and challenging to be solved. To circumvent its intractability, an equivalent reformulation of this secrecy rate maximization (SRM) problem is introduced, wherein the resulting problem is primal decomposable and thus can be handled by alternately solving two convex subproblems. Finally, numerical results are presented to verify the effectiveness of our proposed scheme.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E102-A No.8 pp.946-952
- Publication Date
- 2019/08/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E102.A.946
- Type of Manuscript
- PAPER
- Category
- Cryptography and Information Security
Authors
Xinyu DA
Yango University
Lei NI
the Air Force Engineering University
Hehao NIU
National University of Defense Technology
Hang HU
the Air Force Engineering University
Shaohua YUE
the Air Force Engineering University
Miao ZHANG
University of York
Keyword
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Xinyu DA, Lei NI, Hehao NIU, Hang HU, Shaohua YUE, Miao ZHANG, "AN-Aided Transmission Design for Secure MIMO Cognitive Radio Network with SWIPT" in IEICE TRANSACTIONS on Fundamentals,
vol. E102-A, no. 8, pp. 946-952, August 2019, doi: 10.1587/transfun.E102.A.946.
Abstract: In this work, we investigate a joint transmit beamforming and artificial noise (AN) covariance matrix design in a multiple-input multiple-output (MIMO) cognitive radio (CR) downlink network with simultaneous wireless information and power transfer (SWIPT), where the malicious energy receivers (ERs) may decode the desired information and hence can be treated as potential eavesdroppers (Eves). In order to improve the secure performance of the transmission, AN is embedded to the information-bearing signal, which acts as interference to the Eves and provides energy to all receivers. Specifically, this joint design is studied under a practical non-linear energy harvesting (EH) model, our aim is to maximize the secrecy rate at the SR subject to the transmit power budget, EH constraints and quality of service (QoS) requirement. The original problem is not convex and challenging to be solved. To circumvent its intractability, an equivalent reformulation of this secrecy rate maximization (SRM) problem is introduced, wherein the resulting problem is primal decomposable and thus can be handled by alternately solving two convex subproblems. Finally, numerical results are presented to verify the effectiveness of our proposed scheme.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E102.A.946/_p
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@ARTICLE{e102-a_8_946,
author={Xinyu DA, Lei NI, Hehao NIU, Hang HU, Shaohua YUE, Miao ZHANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={AN-Aided Transmission Design for Secure MIMO Cognitive Radio Network with SWIPT},
year={2019},
volume={E102-A},
number={8},
pages={946-952},
abstract={In this work, we investigate a joint transmit beamforming and artificial noise (AN) covariance matrix design in a multiple-input multiple-output (MIMO) cognitive radio (CR) downlink network with simultaneous wireless information and power transfer (SWIPT), where the malicious energy receivers (ERs) may decode the desired information and hence can be treated as potential eavesdroppers (Eves). In order to improve the secure performance of the transmission, AN is embedded to the information-bearing signal, which acts as interference to the Eves and provides energy to all receivers. Specifically, this joint design is studied under a practical non-linear energy harvesting (EH) model, our aim is to maximize the secrecy rate at the SR subject to the transmit power budget, EH constraints and quality of service (QoS) requirement. The original problem is not convex and challenging to be solved. To circumvent its intractability, an equivalent reformulation of this secrecy rate maximization (SRM) problem is introduced, wherein the resulting problem is primal decomposable and thus can be handled by alternately solving two convex subproblems. Finally, numerical results are presented to verify the effectiveness of our proposed scheme.},
keywords={},
doi={10.1587/transfun.E102.A.946},
ISSN={1745-1337},
month={August},}
Copy
TY - JOUR
TI - AN-Aided Transmission Design for Secure MIMO Cognitive Radio Network with SWIPT
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 946
EP - 952
AU - Xinyu DA
AU - Lei NI
AU - Hehao NIU
AU - Hang HU
AU - Shaohua YUE
AU - Miao ZHANG
PY - 2019
DO - 10.1587/transfun.E102.A.946
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E102-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2019
AB - In this work, we investigate a joint transmit beamforming and artificial noise (AN) covariance matrix design in a multiple-input multiple-output (MIMO) cognitive radio (CR) downlink network with simultaneous wireless information and power transfer (SWIPT), where the malicious energy receivers (ERs) may decode the desired information and hence can be treated as potential eavesdroppers (Eves). In order to improve the secure performance of the transmission, AN is embedded to the information-bearing signal, which acts as interference to the Eves and provides energy to all receivers. Specifically, this joint design is studied under a practical non-linear energy harvesting (EH) model, our aim is to maximize the secrecy rate at the SR subject to the transmit power budget, EH constraints and quality of service (QoS) requirement. The original problem is not convex and challenging to be solved. To circumvent its intractability, an equivalent reformulation of this secrecy rate maximization (SRM) problem is introduced, wherein the resulting problem is primal decomposable and thus can be handled by alternately solving two convex subproblems. Finally, numerical results are presented to verify the effectiveness of our proposed scheme.
ER -
English
