Jamming in Eavesdropping on Throughput Maximization in Green Cognitive Radio Networks

Autor:	Avik Banerjee, Santi P. Maity
Rok vydání:	2023
Předmět:	Computer Networks and Communications business.industry Computer science Node (networking) Eavesdropping Throughput Jamming Transmitter power output Interference (wave propagation) Cognitive radio Electrical and Electronic Engineering business Software Data transmission Computer network
Zdroj:	IEEE Transactions on Mobile Computing. 22:299-310
ISSN:	2161-9875 1536-1233
DOI:	10.1109/tmc.2021.3068797
Popis:	This work considers a cognitive radio (CR) network consisting of a set of CR transmit-receive node pairs, one fusion center (FC), multiple primary user emulation attack (PUEA) nodes, an eavesdropper (Eav) node and a set of friendly jammers for protection of CR data from eavesdropping. At the initial time slot, simultaneous energy harvesting (EH) and spectrum sensing are done through power splitting (PS). CR nodes then amplify and forward the samples of primary user (PU) and the PUEA to the FC for cooperative spectrum sensing (CSS). Based on CSS decision, CR transmit nodes either perform EH over the entire duration or make an opportunistic data transmission in time division mode. The closed form expressions of the optimal sensing duration, power allocation factor and transmit power for each secondary user (SU) are found. The sum secondary throughput of the network is maximized under the constraints of meeting the sensing reliability of the PU, individual energy causality for each SU and the best selected jammer, interference at the PU receiver, individual secondary and secrecy outage probability. Simulation results show a performance gain on the maximum value of the sum secondary throughput by ~ 17.56% and ~ 49.69% over the existing works.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7a4b9bbfb4c7623b44618953cd98472c https://doi.org/10.1109/tmc.2021.3068797 Zobrazit plný text záznamu