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Wireless Communications and Mobile Computing
Volume 2018 (2018), Article ID 8342156, 11 pages
Research Article

A Stochastic Geometry Approach to Full-Duplex MIMO Relay Network

1Wireless Communication Centre, Universiti Teknologi Malaysia, Skudai, Johor Bahru, Malaysia
2Computational Optics Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam
3Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Vietnam

Correspondence should be addressed to Iraj Sadegh Amiri; nv.ude.tdt@irimahgedasjari

Received 24 June 2017; Revised 26 August 2017; Accepted 10 September 2017; Published 3 January 2018

Academic Editor: Patrick Seeling

Copyright © 2018 Mhd Nour Hindia et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Cellular networks are extensively modeled by placing the base stations on a grid, with relays and destinations being placed deterministically. These networks are idealized for not considering the interferences when evaluating the coverage/outage and capacity. Realistic models that can overcome such limitation are desirable. Specifically, in a cellular downlink environment, the full-duplex (FD) relaying and destination are prone to interferences from unintended sources and relays. However, this paper considered two-hop cellular network in which the mobile nodes aid the sources by relaying the signal to the dead zone. Further, we model the locations of the sources, relays, and destination nodes as a point process on the plane and analyze the performance of two different hops in the downlink. Then, we obtain the success probability and the ergodic capacity of the two-hop MIMO relay scheme, accounting for the interference from all other adjacent cells. We deploy stochastic geometry and point process theory to rigorously analyze the two-hop scheme with/without interference cancellation. These attained expressions are amenable to numerical evaluation and are corroborated by simulation results.