Energy-Efficient Optimization for Physical Layer Security in Multi-Antenna Downlink Networks with QoS Guarantee

• Published in: IEEE communications letters Vol. 17; no. 4; pp. 637 - 640
• Main Authors: Chen, Xiaoming, Lei, Lei
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.04.2013; Institute of Electrical and Electronics Engineers
• Subjects: Antennas; Applied sciences; Array signal processing; Delay; Detection, estimation, filtering, equalization, prediction; energy-efficient power allocation; Exact sciences and technology; Information, signal and communications theory; Operation, maintenance, reliability; Physical layer; Physical layer security; QoS guarantee; Quality of service; Radiocommunications; Resource management; Security; Signal and communications theory; Signal, noise; switched beam beamforming; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Transmission and modulation (techniques and equipments); Wireless communication; Performance evaluation; Wireless telecommunication; Physical layer security; Downlink; QoS guarantee; Power allocation; Beam forming; Optimization; Energetic efficiency; Signal processing; Electric power consumption; Numerical simulation; Minimum energy; Delay time; energy-efficient power allocation; Safety; Low-power electronics; Service quality; Secrecy; Antenna array; switched beam beamforming
• ISSN: 1089-7798
• DOI: 10.1109/LCOMM.2013.022713.130029

In this letter, we consider a multi-antenna downlink network where a secure user (SU) coexists with a passive eavesdropper. There are two design requirements for such a network. First, the information should be transferred in a secret and efficient manner. Second, the quality of service (QoS), i.e. delay sensitivity, should be take into consideration to satisfy the demands of real-time wireless services. In order to fulfill the two requirements, we combine the physical layer security technique based on switched beam beamforming with an energy-efficient power allocation. The problem is formulated as the maximization of the secrecy energy efficiency subject to delay and power constraints. By solving the optimization problem, we derive an energy-efficient power allocation scheme. Numerical results validate the effectiveness of the proposed scheme.