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    Stochastic geometry model for multi-channel fog radio access networks

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    Type
    Conference Paper
    Authors
    Emara, Mostafa
    Elsawy, Hesham cc
    Sorour, Sameh
    Al-Ghadhban, Samir
    Alouini, Mohamed-Slim cc
    Al-Naffouri, Tareq Y. cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2017-06-29
    Online Publication Date
    2017-06-29
    Print Publication Date
    2017-05
    Permanent link to this record
    http://hdl.handle.net/10754/625654
    
    Metadata
    Show full item record
    Abstract
    Cache-enabled base station (BS) densification, denoted as a fog radio access network (F-RAN), is foreseen as a key component of 5G cellular networks. F-RAN enables storing popular files at the network edge (i.e., BS caches), which empowers local communication and alleviates traffic congestions at the core/backhaul network. The hitting probability, which is the probability of successfully transmitting popular files request from the network edge, is a fundamental key performance indicator (KPI) for F-RAN. This paper develops a scheduling aware mathematical framework, based on stochastic geometry, to characterize the hitting probability of F-RAN in a multi-channel environment. To this end, we assess and compare the performance of two caching distribution schemes, namely, uniform caching and Zipf caching. The numerical results show that the commonly used single channel environment leads to pessimistic assessment for the hitting probability of F-RAN. Furthermore, the numerical results manifest the superiority of the Zipf caching scheme and quantify the hitting probability gains in terms of the number of channels and cache size.
    Citation
    Emara M, ElSawy H, Sorour S, Al-Ghadhban S, Alouini M-S, et al. (2017) Stochastic geometry model for multi-channel fog radio access networks. 2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt). Available: http://dx.doi.org/10.23919/WIOPT.2017.7959945.
    Sponsors
    This research was funded by a grant from the office of competitive research funding (OCRF) at the King Abdullah University of Science and Technology (KAUST). The work was also supported by the Deanship of Scientific Research (DSR) at King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, through project number KAUST-002.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)
    Conference/Event name
    15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2017
    DOI
    10.23919/WIOPT.2017.7959945
    Additional Links
    http://ieeexplore.ieee.org/document/7959945/
    ae974a485f413a2113503eed53cd6c53
    10.23919/WIOPT.2017.7959945
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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