TY  - JOUR
TI  - Secure SWIPT by Exploiting Constructive Interference and Artificial Noise
UR  - https://doi.org/10.1109/TCOMM.2018.2874658
SN  - 0090-6778
EP  - 1340
KW  - Interference
KW  -  Erbium
KW  -  Precoding
KW  -  Signal to noise ratio
KW  - 
Energy harvesting
KW  -  MISO communication
KW  -  Receivers
IS  - 2
A1  - Khandaker, MRA
A1  - Masouros, C
A1  - Wong, KK
A1  - Timotheou, S
SP  - 1326
AV  - public
JF  - IEEE Transactions on Communications
N1  - © 2019 IEEE. This work is licensed under a Creative Commons Attribution 3.0 License. For more information (http://creativecommons.org/licenses/by/3.0/).
N2  - This paper studies interference exploitation techniques for secure beamforming design in simultaneous wireless information and power transfer (SWIPT) in multiple-input single-output (MISO) systems. In particular, multiuser interference (MUI) and artificially generated noise signals are designed as constructive to the information receivers (IRs) yet kept disruptive to potential eavesdropping by the energy receivers (ERs). The objective is to improve the received signal-to-interference and noise ratio (SINR) at the IRs by exploiting the MUI and AN power in an attempt to minimize the total transmit power. We first propose second-order cone programming based solutions for the perfect channel state information (CSI) case by defining strong upper and lower bounds on the energy harvesting (EH) constraints. We then provide semidefinite programming based solutions for the problems. In addition, we also solve the worst-case harvested energy maximization problem under the proposed bounds. Finally, robust beamforming approaches based on the above are derived for the case of imperfect CSI. Our results demonstrate that the proposed constructive interference precoding schemes yield huge saving in transmit power over conventional interference management schemes. Most importantly, they show that, while the statistical constraints of conventional approaches may lead to instantaneous SINR as well as EH outages, the instantaneous constraints of our approaches guarantee both constraints at every symbol period.
Y1  - 2019/02//
VL  - 67
ID  - discovery10059614
ER  -