On effective secrecy throughput of underlay spectrum sharing α - μ/ Málaga hybrid model under interference-and-transmit power constraints

Ibrahim, M., Badrudduza, A. S. M., Hossen, M. S., Kundu, M. K., Ansari, I. S. and Ahmed, I. (2023) On effective secrecy throughput of underlay spectrum sharing α - μ/ Málaga hybrid model under interference-and-transmit power constraints. IEEE Photonics Journal, 15(2), 7301413. (doi: 10.1109/JPHOT.2023.3253020)

Abstract

The underlay cognitive radio-based hybrid radio frequency/free-space optical (RF/FSO) systems have emerged as a promising technology due to their ability to eliminate spectrum scarcity and spectrum under-utilization problems. The physical layer security of such a network with a primary user, a secondary source, a secondary receiver, and an eavesdropper is therefore examined in this work. In this network, secret communication occurs between two reliable secondary peers over the RF and FSO links simultaneously, and the eavesdropper can only overhear the RF link. In particular, the maximum transmits power limitation at the secondary user as well as the permissible interference power restriction at the primary user are also taken into consideration. All the RF and FSO links are modeled with α - μ fading and Málaga turbulence with link blockage and pointing error impairments. At the receiver, the selection combining diversity technique is utilized to select the signal with the best electrical signal-to-ratio (SNR). Furthermore, to examine the secrecy performance taking into account the effects of each system parameter, closed-form expressions for the secrecy outage probability and effective secrecy throughput are derived. The resultant expressions are finally verified by Monte-Carlo simulations.

• Item Type: Articles
• Additional Information: This work was supported by the Start-Up Research Grant of the Department of Electrical Engineering and Computer Science at Howard University, Washington, DC, USA.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Ansari, Dr Imran
• Authors: Ibrahim, M., Badrudduza, A. S. M., Hossen, M. S., Kundu, M. K., Ansari, I. S., and Ahmed, I.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• Journal Name: IEEE Photonics Journal
• Publisher: IEEE
• ISSN: 1943-0655
• ISSN (Online): 1943-0655
• Published Online: 06 March 2023
• Copyright Holders: Copyright © 2023 The Authors
• First Published: First published in IEEE Photonics Journal 15(2): 7301413
• Publisher Policy: Reproduced under a Creative Commons License