Performance analysis of spectrum sharing-based multi-hop decode-and-forward over Nakagami-m fading channels subject to additive white generalised Gaussian noise

• Published in: IET communications Vol. 12; no. 4; pp. 415 - 424
• Main Authors: Badarneh, Osamah S, Almehmadi, Fares S, Kadoch, Michel
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 06.03.2018
• Subjects: additive white generalised Gaussian noise; AWGN; bit error rate; decode and forward communication; ergodic capacity; error statistics; Monte Carlo methods; Monte Carlo simulations; M‐ary phase shift keying; M‐ary quadrature amplitude modulation; M‐QAM; Nakagami channels; Nakagami‐m fading channels; phase shift keying; quadrature amplitude modulation; radio spectrum management; Research Article; spectrum sharing‐based multi‐hop decode‐and‐forward cognitive multi‐hop networks; radio spectrum management; AWGN; M-ary phase shift keying; quadrature amplitude modulation; Nakagami-m fading channels; additive white generalised Gaussian noise; bit error rate; decode and forward communication; Nakagami channels; M-QAM; Monte Carlo methods; spectrum sharing-based multi-hop decode-and-forward cognitive multi-hop networks; Monte Carlo simulations; phase shift keying; M-ary quadrature amplitude modulation; ergodic capacity; error statistics
• ISSN: 1751-8628; 1751-8636
• DOI: 10.1049/iet-com.2016.1431

In this work, the authors study the performance of decode-and-forward cognitive multi-hop networks in an underlay spectrum sharing strategy for Nakagami-m fading channels with additive white generalised Gaussian noise. To this end, new exact analytical expressions for the average bit error rate of M-ary quadrature amplitude modulation (M-QAM) and M-ary phase shift keying are derived and evaluated. In addition, an exact expression for the average symbol error rate of M-QAM is provided. Moreover, lower- and upper-bound expressions for the ergodic capacity are obtained. Different scenarios are presented to study the influence of various key system parameters, such as fading severity, noise shaping parameter, and interference temperature, on the system performance. The obtained analytical results are supported with Monte Carlo simulations to confirm the accuracy of the analytical derivations.