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A Stochastic Geometric Analysis of Device-to-Device Communications\n Operating over Generalized Fading Channels

2016/05/10 by Young Jin Chun, Chun, Young Jin, Simon L. Cotton +7
Engineering · #Advanced MIMO Systems Optimization #FOS: Computer and information sciences #Information Theory (cs.IT) #Millimeter-Wave Propagation and Modeling #Wireless Body Area Networks

paper · pdf · doi:10.48550/arxiv.1605.03244

openalex publication_date 2016/05/10 · openalex created_date 2022/10/03 · openalex updated_date 2026/07/28

Abstract

Device-to-device (D2D) communications are now considered as an integral part\nof future 5G networks which will enable direct communication between user\nequipment (UE) without unnecessary routing via the network infrastructure. This\narchitecture will result in higher throughputs than conventional cellular\nnetworks, but with the increased potential for co-channel interference induced\nby randomly located cellular and D2D UEs. The physical channels which\nconstitute D2D communications can be expected to be complex in nature,\nexperiencing both line-of-sight (LOS) and non-LOS (NLOS) conditions across\nclosely located D2D pairs. As well as this, given the diverse range of\noperating environments, they may also be subject to clustering of the scattered\nmultipath contribution, i.e., propagation characteristics which are quite\ndissimilar to conventional Rayeligh fading environments. To address these\nchallenges, we consider two recently proposed generalized fading models, namely\n\κ-\μ and \η-\μ, to characterize the fading behavior in D2D\ncommunications. Together, these models encompass many of the most widely\nencountered and utilized fading models in the literature such as Rayleigh, Rice\n(Nakagami-n), Nakagami-m, Hoyt (Nakagami-q) and One-Sided Gaussian. Using\nstochastic geometry we evaluate the rate and bit error probability of D2D\nnetworks under generalized fading conditions. Based on the analytical results,\nwe present new insights into the trade-offs between the reliability, rate, and\nmode selection under realistic operating conditions. Our results suggest that\nD2D mode achieves higher rates over cellular link at the expense of a higher\nbit error probability. Through numerical evaluations, we also investigate the\nperformance gains of D2D networks and demonstrate their superiority over\ntraditional cellular networks.\n

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