MIMO Wiretap Channel Under Receiver-Side Power Constraints With Applications to Wireless Power Transfer and Cognitive Radio

被引:11
作者
Banawan, Karim [1 ]
Ulukus, Sennur [1 ]
机构
[1] Univ Maryland, Dept Elect & Comp Engn, College Pk, MD 20742 USA
关键词
MIMO wiretap channel; wireless power transfer; cognitive radio; receiver-side power constraint; broadcast channel; confidential messages; channel enhancement; SECRECY CAPACITY; BROADCAST CHANNELS; SECURE TRANSMISSION; INFORMATION; REGION; COMMUNICATION;
D O I
10.1109/TCOMM.2016.2593739
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We consider the multiple-input multiple-output (MIMO) wiretap channel under a minimum receiver-side power constraint in addition to the usual maximum transmitter-side power constraint. This problem is motivated by energy harvesting communications with wireless energy transfer, where an added goal is to deliver a minimum amount of energy to a receiver in addition to delivering secure data to another receiver. In this paper, we characterize the exact secrecy capacity of the MIMO wiretap channel under transmitter and receiver-side power constraints. We first show that solving this problem is equivalent to solving the secrecy capacity of the wiretap channel under a double-sided correlation matrix constraint on the channel input. We show the converse by extending the channel enhancement technique to our case. We present two achievable schemes that achieve the secrecy capacity: the first achievable scheme uses a Gaussian codebook with a fixed mean, and the second achievable scheme uses artificial noise (or cooperative jamming) together with a Gaussian codebook. The role of the mean or the artificial noise is to enable energy transfer without sacrificing from the secure rate. This is the first instance of a channel model where either the use of a mean signal or the use of channel prefixing via artificial noise is strictly necessary for the MIMO wiretap channel. We then extend our work to consider a maximum receiver-side power constraint instead of a minimum receiver-side power constraint. This problem is motivated by cognitive radio applications, where an added goal is to decrease the received signal energy (interference temperature) at a receiver. We further extend our results to: requiring receiver-side power constraints at both receivers; considering secrecy constraints at both receivers to study broadcast channels with confidential messages; and removing the secrecy constraints to study the classical broadcast channel.
引用
收藏
页码:3872 / 3885
页数:14
相关论文
共 50 条
[41]   Closed-Form Expression of the Ergodic Capacity in a Cognitive Radio Link under Power Constraints [J].
Ghanem, M. ;
Bawab, H. ;
Bazzi, O. ;
Nasser, Y. ;
Mary, P. ;
Helard, J. F. .
2014 6TH INTERNATIONAL CONGRESS ON ULTRA MODERN TELECOMMUNICATIONS AND CONTROL SYSTEMS AND WORKSHOPS (ICUMT), 2014, :468-472
[42]   Efficient Energy Beamforming for Multi-Device Microwave Wireless Power Transfer Under Tx/Rx Power Constraints [J].
Murata, Kentaro ;
Onizuka, Kohei ;
Mitomo, Toshiya ;
Higaki, Makoto ;
Taniguchi, Kentaro ;
Matsuo, Ryoko ;
Aoki, Tsuguhide .
2017 IEEE 28TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2017,
[43]   Proposal on Model Based Current Overshoot Suppression of Receiver Side Coil in Drone Wireless Power Transfer System [J].
Fujimoto, Kota ;
Hamada, Takumi ;
Fujimoto, Hiroshi .
2022 WIRELESS POWER WEEK (WPW), 2022, :235-239
[44]   Load-Isolation Wireless Power Transfer With K-Inverter for Multiple-Receiver Applications [J].
Kuang, Jiwei ;
Luo, Bin ;
Zhang, Yanling ;
Hu, Yao ;
Wu, Yiqiang .
IEEE ACCESS, 2018, 6 :31996-32004
[45]   Behavioral Modeling of a Radio Frequency Wireless Power Transfer System for Batteryless Internet of Things Applications [J].
de Lacerda, Polyana Camargo ;
Mariano, Andre Augusto ;
Brante, Glauber ;
Lopez, Onel Luis Alcaraz ;
Mikhaylov, Konstantin ;
Souza, Richard Demo .
IEEE ACCESS, 2024, 12 :86974-86984
[46]   An LCC-S compensated wireless power transfer system using receiver-side switched-controlled capacitor combined semi-active rectifier for constant voltage charging with misalignment tolerance [J].
Wang, Wenbo ;
Deng, Junjun ;
Chen, Deliang .
IET POWER ELECTRONICS, 2023, 16 (07) :1103-1114
[47]   Optimal Power Allocation for Multiuser Underlay Cognitive Radio Networks under QoS and Interference Temperature Constraints [J].
Xu Yongjun ;
Zhao Xiaohui .
CHINA COMMUNICATIONS, 2013, 10 (10) :91-100
[48]   QoS-Driven Power Allocation Under Peak and Average Interference Constraints in Cognitive Radio Networks [J].
Stavroula Vassaki ;
Marios I. Poulakis ;
Athanasios D. Panagopoulos ;
Philip Constantinou .
Wireless Personal Communications, 2014, 78 :449-474
[49]   QoS-Driven Power Allocation Under Peak and Average Interference Constraints in Cognitive Radio Networks [J].
Vassaki, Stavroula ;
Poulakis, Marios I. ;
Panagopoulos, Athanasios D. ;
Constantinou, Philip .
WIRELESS PERSONAL COMMUNICATIONS, 2014, 78 (01) :449-474
[50]   Primary side control strategies for battery charging regulation in wireless power transfer systems for EV applications [J].
Vinod, Marupuru ;
Kishan, Dharavath ;
Kannan, Ramani ;
Iqbal, Atif ;
Mohammed Sulthan, Sheik .
IET POWER ELECTRONICS, 2024, 17 (08) :941-952