Performance evaluation of cognitive relay networks for end user mobile over mixed realistic channels

• Published in: IET communications Vol. 17; no. 2; pp. 228 - 245
• Main Authors: Khodeir, Mahmoud A., Al‐Mistarihi, Mamoun F., Ibrahem, Lama N.
• Format: Journal Article
• Language: English
• Published: Stevenage John Wiley & Sons, Inc 01.01.2023
• Subjects: Channels; Codes; Cognitive radio; Communications systems; Constraints; Doppler effect; End users; Fading; Monte Carlo simulation; Performance evaluation; Propagation; Radio networks; Receivers & amplifiers; Relay networks; Relaying; Statistical analysis
• ISSN: 1751-8628; 1751-8636
• DOI: 10.1049/cmu2.12528

Cognitive relay network is a spectrum dynamic paradigm that exploits the unused portions of the licensed spectrum. This is based on merging both cooperative relaying techniques and cognitive radio network to achieve spectrum efficiency and enhance the overall system performance. In this paper, the presence of mobile users at the destination node is considered. Here, the end users can navigate at relatively fast vehicular velocities causing dynamic multipath fading and high Doppler shift. which can be fairly modelled using Nakagami‐m$m\;$fading channel (i.e. m<1$\;m < 1$). In a spectrum scarcity environment, a secondary user must deploy an optimal power allocation policy to get higher transmission rates while the overall interference affecting the primary user (PU) is kept below a certain threshold value. In particular, the outage probability (OP) performance is studied over the mixed Rayleigh and Nakagami‐m fading channels for different scenarios and a tight closed‐form expressions are derived for the system OP of underlay dual‐hop cognitive relay networks with a single amplifiy‐and‐forward (AF) relay with and without the use of the direct link transmission and selection diversity at the destination with interference power constraints for the primary network over independent and non‐identical (i.n.i.d) Rayleigh and Nakagami‐m fading channels when m<1$m < 1$ based on the statistical characteristics of signal‐to‐noise ratio. Numerical results are presented to evaluate the impact of the fading parameter, m, the maximum aggregated intrusion constraint, and the locations of the primary users (PUs) on different channel scenarios at high vehicular speeds. Monte Carlo simulations are presented to verify and validate analytical results.