Secure Information Transmissions in Wireless-Powered Cognitive Radio Networks for Internet of Medical Things

Kun Tang, Wenjuan Tang, Entao Luo*, Zhiyuan Tan, Weizhi Meng, Lianyong Qi

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

51 Downloads (Pure)

Abstract

In this paper, we consider the issue of the secure transmissions for the cognitive radio-based Internet of Medical Things (IoMT) with wireless energy harvesting. In these systems, a primary transmitter (PT) will transmit its sensitive medical information to a primary receiver (PR) by a multi-antenna-based secondary transmitter (ST), where we consider that a potential eavesdropper may listen to the PT's sensitive information. Meanwhile, the ST also transmits its own information concurrently by utilizing spectrum sharing. We aim to propose a novel scheme for jointly designing the optimal parameters, i.e., energy harvesting (EH) time ratio and secure beamforming vectors, for maximizing the primary secrecy transmission rate while guaranteeing secondary transmission requirement. For solving the nonconvex optimization problem, we transfer the problem into convex optimization form by adopting the semidefinite relaxation (SDR) method and Charnes-Cooper transformation technique. Then, the optimal secure beamforming vectors and energy harvesting duration can be obtained easily by utilizing the CVX tools. According to the simulation results of secrecy transmission rate, i.e., secrecy capacity, we can observe that the proposed protocol for the considered system model can effectively promote the primary secrecy transmission rate when compared with traditional zero-forcing (ZF) scheme, while ensuring the transmission rate of the secondary system.

Original languageEnglish
Article number7542726
JournalSecurity and Communication Networks
Volume2020
Number of pages10
ISSN1939-0114
DOIs
Publication statusPublished - 1 Jan 2020

Fingerprint

Dive into the research topics of 'Secure Information Transmissions in Wireless-Powered Cognitive Radio Networks for Internet of Medical Things'. Together they form a unique fingerprint.

Cite this