A Stochastic Geometric Analysis of Device-to-Device Communications Operating over Generalized Fading Channels
Young Jin Chun, Simon L. Cotton, Harpreet S. Dhillon, Ali Ghrayeb, and, Mazen O. Hasna

TL;DR
This paper provides a stochastic geometric analysis of device-to-device (D2D) communications over generalized fading channels, revealing insights into their performance, trade-offs, and advantages over traditional cellular networks in 5G environments.
Contribution
It introduces a novel analysis framework using $$ and $$ fading models to evaluate D2D network performance under realistic propagation conditions.
Findings
D2D mode offers higher data rates than cellular links.
D2D communications have higher bit error probabilities.
D2D networks outperform traditional cellular networks in simulations.
Abstract
Device-to-device (D2D) communications are now considered as an integral part of future 5G networks which will enable direct communication between user equipment (UE) without unnecessary routing via the network infrastructure. This architecture will result in higher throughputs than conventional cellular networks, but with the increased potential for co-channel interference induced by randomly located cellular and D2D UEs. The physical channels which constitute D2D communications can be expected to be complex in nature, experiencing both line-of-sight (LOS) and non-LOS (NLOS) conditions across closely located D2D pairs. As well as this, given the diverse range of operating environments, they may also be subject to clustering of the scattered multipath contribution, i.e., propagation characteristics which are quite dissimilar to conventional Rayeligh fading environments. To address these…
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