Bani-Bakr, Alaa and Dimyati, Kaharudin and Hindia, M. H. D. Nour Reyad and Wong, Wei Ru and Imran, Muhammad Ali (2021) Feasibility study of 28 GHz and 38 GHz millimeter-wave technologies for fog radio access networks using multi-slope path loss model. Physical Communication, 47. ISSN 1874-4907, DOI https://doi.org/10.1016/j.phycom.2021.101401.
Full text not available from this repository.Abstract
Fog computing is considered a promising technology to reduce latency and network congestion. Meanwhile, Millimeter-wave (mmWave) communication owing to its potential for multi-gigabit of wireless channel capacity could be employed to further improve the performance of fog computing networks. In this context, we study the feasibility of using 28 GHz and 38 GHz mmWaves in fog radio access networks (F-RANs). The multi-slope path loss model is used to calculate the interference impacts because it provides a more accurate approximation of the wireless links. Simulations are carried out for uplink scenario considering the following fog node (FN) deployment models: Poisson point process (PPP), Ginibre point process (GPP), square grid, and ultra-dense network (UDN). The results depict that at low FN densities the massive accumulation of interference components severely impacts the performance. However, the performance can be improved by increasing the FN density and choosing a deployment strategy with high degree of regularity. Based on the results, we verify that it is feasible to use 28 GHz and 38 GHz mmWaves in F-RANs when the density of the interfering users is less than 150 user/km(2) where capacities higher than 1 Gbps are achieved for all considered scenarios. (C) 2021 The Authors. Published by Elsevier B.V.
| Item Type: | Article |
|---|---|
| Funders: | UK Research & Innovation (UKRI) Engineering & Physical Sciences Research Council (EPSRC) [EP/P028764/1] [UM IF035-2017] |
| Uncontrolled Keywords: | Determinantal point process; Dual-slope path loss model; Fog computing; Ginibre point process; Ultra-dense network |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering > Department of Electrical Engineering |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 13 Apr 2022 23:51 |
| Last Modified: | 13 Apr 2022 23:51 |
| URI: | http://eprints.um.edu.my/id/eprint/27925 |
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