A Stochastic Geometric Analysis of Device-to-Device Communications Operating Over Generalized Fading Channels
dc.contributor.author | Chun, Young Jin | en |
dc.contributor.author | Cotton, Simon L. | en |
dc.contributor.author | Dhillon, Harpreet Singh | en |
dc.contributor.author | Ghrayeb, Ali | en |
dc.contributor.author | Hasna, Mazen O. | en |
dc.contributor.department | Electrical and Computer Engineering | en |
dc.date.accessioned | 2019-10-03T17:21:57Z | en |
dc.date.available | 2019-10-03T17:21:57Z | en |
dc.date.issued | 2017-07 | en |
dc.description.abstract | Device-to-device (D2D) communications are now considered an integral part of future 5G networks, which will enable direct communication between user equipments and achieve higher throughputs than conventional cellular networks, but with the increased potential for co-channel interference. The physical channels, which constitute D2D communications, can be expected to be complex in nature, experiencing both line-of-sight (LOS) and non-LOS conditions across closely located D2D pairs. In addition to 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 Rayleigh fading environments. To address these challenges, we consider two recently proposed generalized fading models, namely kappa-mu and eta-mu, to characterize the fading behavior in D2D communications. Together, these models encompass many of the most widely utilized fading models in the literature such as Rayleigh, Rice (Nakagami-n), Nakagami-m, Hoyt (Nakagami-q), and One-sided Gaussian. Using stochastic geometry, we evaluate the spectral efficiency and outage probability of D2D networks under generalized fading conditions and present new insights into the tradeoffs between the reliability, rate, and mode selection. Through numerical evaluations, we also investigate the performance gains of D2D networks and demonstrate their superiority over traditional cellular networks. | en |
dc.description.notes | The work of Y. J. Chun and S. L. Cotton was supported in part by the Engineering and Physical Sciences Research Council under Grant EP/L026074/1 and the Department for the Economy Northern Ireland under Grant USI080. The work of H. S. Dhillon was supported by the U.S. National Science Foundation under Grants CCF-1464293 and CNS-1617896. The work of M. O. Hasna was supported by the NPRP Grant 4-1119-2-427 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors. The associate editor coordinating the review of this paper and approving it for publication was J. M. Romero Jerez. (Corresponding author: Young Jin Chun.) | en |
dc.description.sponsorship | Engineering and Physical Sciences Research Council [EP/L026074/1]; Department for the Economy Northern Ireland [USI080]; U.S. National Science Foundation [CCF-1464293, CNS-1617896]; NPRP Grant from Qatar National Research Fund (Qatar Foundation) [4-1119-2-427] | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.doi | https://doi.org/10.1109/TWC.2017.2689759 | en |
dc.identifier.eissn | 1558-2248 | en |
dc.identifier.issn | 1536-1276 | en |
dc.identifier.issue | 7 | en |
dc.identifier.uri | http://hdl.handle.net/10919/94342 | en |
dc.identifier.volume | 16 | en |
dc.language.iso | en | en |
dc.rights | Creative Commons Attribution 3.0 Unported | en |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/ | en |
dc.subject | 5G | en |
dc.subject | device-to-device network | en |
dc.subject | eta-mu fading | en |
dc.subject | kappa-mu fading | en |
dc.subject | rate-reliability trade-off | en |
dc.subject | stochastic geometry | en |
dc.title | A Stochastic Geometric Analysis of Device-to-Device Communications Operating Over Generalized Fading Channels | en |
dc.title.serial | Ieee Transactions On Wireless Communications | en |
dc.type | Article - Refereed | en |
dc.type.dcmitype | Text | en |
dc.type.dcmitype | StillImage | en |
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