Performance Analysis of SWIPT Networks over Composite Fading Channels

This paper studies the performance of dual-hop decode-and-forward (DF) simultaneous wireless information and power transfer (SWIPT) systems over Fisher-Snedecor $\mathcal{F}$ composite fading channels. We commence by deriving closed-form expressions of the cumulative distribution function (CDF) and the probability density function (PDF) of the product of two $\mathcal{F}$ random variables. These statistics are then used to derive closed-form expressions for the ergodic capacity and ergodic outage probability of the system under consideration. Three well-known energy harvesting (EH) relaying protocols are considered; namely time-switching relaying, power splitting relaying and ideal relaying receiver. The analysis provides insights into the effect of the key parameters on the overall network performance. Monte-Carlo simulations are provided throughout to validate the correctness of our analysis. The results show that the performance of the system in terms of ergodic capacity and outage probability improves as the fading and shadowing severity reduce for all EH protocols considered. The results further demonstrate the need to balance the relay distance with channel conditions of the links to minimise the system outage.

[1]  Caijun Zhong,et al.  Full-duplex MIMO relaying powered by wireless energy transfer , 2015, 2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[2]  Le Wang,et al.  Ergodic Sum Rate Analysis for Non-Orthogonal Multiple Access Relaying Networks with Energy Harvesting , 2018, 2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC).

[3]  Victor Adamchik,et al.  The algorithm for calculating integrals of hypergeometric type functions and its realization in REDUCE system , 1990, ISSAC '90.

[4]  Mohamed-Slim Alouini,et al.  Half-Duplex and Full-Duplex AF and DF Relaying With Energy-Harvesting in Log-Normal Fading , 2017, IEEE Transactions on Green Communications and Networking.

[5]  Derrick Wing Kwan Ng,et al.  Wireless Information and Power Transfer: Energy Efficiency Optimization in OFDMA Systems , 2013, IEEE Transactions on Wireless Communications.

[6]  Mahmoud M. Elmesalawy D2D Communications for Enabling Internet of Things Underlaying LTE Cellular Networks , 2016 .

[7]  Rui Zhang,et al.  MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer , 2011, IEEE Transactions on Wireless Communications.

[8]  Celestine Iwendi,et al.  Performance Analysis of D2D Energy Efficient IoT Networks with Relay-Assisted Underlaying Technique , 2018, IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society.

[9]  Lav R. Varshney,et al.  Transporting information and energy simultaneously , 2008, 2008 IEEE International Symposium on Information Theory.

[10]  Michel Daoud Yacoub,et al.  The α-μ distribution: a general fading distribution , 2002, PIMRC.

[11]  Kaibin Huang,et al.  Enabling Wireless Power Transfer in Cellular Networks: Architecture, Modeling and Deployment , 2012, IEEE Transactions on Wireless Communications.

[12]  Mohamed-Slim Alouini,et al.  Full-Duplex Energy-Harvesting Enabled Relay Networks in Generalized Fading Channels , 2018, IEEE Wireless Communications Letters.

[13]  Seong Ki Yoo,et al.  The Fisher-Snedecor F distribution: A Simple and Accurate Composite Fading Model , 2017 .

[14]  Shuguang Cui,et al.  Energy-Efficient Cooperative Communication Based on Power Control and Selective Single-Relay in Wireless Sensor Networks , 2008, IEEE Transactions on Wireless Communications.