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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 6, 2018.
Abstract: In this work, we analyze a wireless energy harvest-ing decode-and-forward (DF) relaying network with beamforming that is based on a practical non-linear energy harvesting model over η-μ fading channels. We consider a dual-hop relaying system having multiple antennas at the source and destination only. The single-antenna energy constrained relay assists the source to communicate with the destination. At the relay node, we assume a non-linear energy harvesting receiver which limits the harvested power level with a saturation threshold. By considering a power-splitting based relaying (PSR) protocol and a non-linear energy harvesting receiver, we analyze the system performance in terms of the outage probability and throughput for various antennas combinations and for various values of the fading parameters, η and μ. The η-μ fading model has a few particular cases, viz., Rayleigh, Nakagami-m, and Hoyt. These results are general and can be reduced for different fading scenarios as well as for linear energy harvesting relaying.
Ayaz Hussain, Nazar Hussain Phulpoto, Ubaidullah Rajput, Fizza Abbas and Zahoor Ahmed Baloch, “Non-Linear Energy Harvesting Dual-hop DF Relaying System over n-µ Fading Channels” International Journal of Advanced Computer Science and Applications(IJACSA), 9(6), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090657
@article{Hussain2018,
title = {Non-Linear Energy Harvesting Dual-hop DF Relaying System over n-µ Fading Channels},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090657},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090657},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {6},
author = {Ayaz Hussain and Nazar Hussain Phulpoto and Ubaidullah Rajput and Fizza Abbas and Zahoor Ahmed Baloch}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.