2017/09/13 by Elena Boshkovska, Derrick Wing Kwan Ng, Boshkovska, Elena +5
Engineering · #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #Full-Duplex Wireless Communications #Information Theory (cs.IT) #Wireless Communication Security Techniques
paper · pdf · doi:10.48550/arxiv.1709.04231
openalex publication_date 2017/09/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper, we design a robust resource allocation algorithm for a\nwireless-powered communication network (WPCN) taking into account residual\nhardware impairments (HWIs) at the transceivers, the imperfectness of the\nchannel state information, and the non-linearity of practical radio frequency\nenergy harvesting circuits. In order to ensure power-efficient secure\ncommunication, physical layer security techniques are exploited to deliberately\ndegrade the channel quality of a multiple-antenna eavesdropper. The resource\nallocation algorithm design is formulated as a non-convex optimization problem\nfor minimization of the total consumed power in the network, while guaranteeing\nthe quality of service of the information receivers in terms of secrecy rate.\nThe globally optimal solution of the optimization problem is obtained via a\ntwo-dimensional search and semidefinite programming relaxation. To strike a\nbalance between computational complexity and system performance, a\nlow-complexity iterative suboptimal resource allocation algorithm is then\nproposed.\n Numerical results demonstrate that both the proposed optimal and suboptimal\nschemes can significantly reduce the total system power consumption required\nfor guaranteeing secure communication, and unveil the impact of HWIs on the\nsystem performance: (1) residual HWIs create a system performance bottleneck in\nthe high transmit/receive power regimes; (2) increasing the number of transmit\nantennas can effectively reduce the system power consumption and alleviate the\nperformance degradation due to residual HWIs; (3) imperfect CSI increases the\nsystem power consumption and exacerbates the impact of residual HWIs.\n