Optimal Caching in Multicast 5G Networks with Opportunistic Spectrum Access
Type
Conference PaperAuthors
Emara, MostafaElsawy, Hesham

Sorour, Sameh
Al-Ghadhban, Samir
Alouini, Mohamed-Slim

Al-Naffouri, Tareq Y.

KAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
KAUST Grant Number
KAUST-002Date
2018-01-15Online Publication Date
2018-01-15Print Publication Date
2017-12Permanent link to this record
http://hdl.handle.net/10754/627292
Metadata
Show full item recordAbstract
Cache-enabled small base station (SBS) densification is foreseen as a key component of 5G cellular networks. This architecture enables storing popular files at the network edge (i.e., SBS caches), which empowers local communication and alleviates traffic congestions at the core/backhaul network. This paper develops a mathematical framework, based on stochastic geometry, to characterize the hit probability of a cache-enabled multicast 5G network with SBS multi-channel capabilities and opportunistic spectrum access. To this end, we first derive the hit probability by characterizing opportunistic spectrum access success probabilities, service distance distributions, and coverage probabilities. The optimal caching distribution to maximize the hit probability is then computed. The performance and trade-offs of the derived optimal caching distributions are then assessed and compared with two widely employed caching distribution schemes, namely uniform and Zipf caching, through numerical results and extensive simulations. It is shown that the Zipf caching almost optimal only in scenarios with large number of available channels and large cache sizes.Citation
Emara M, ElSawy H, Sorour S, Al-Ghadhban S, Alouini M-S, et al. (2017) Optimal Caching in Multicast 5G Networks with Opportunistic Spectrum Access. GLOBECOM 2017 - 2017 IEEE Global Communications Conference. Available: http://dx.doi.org/10.1109/glocom.2017.8254682.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.Additional Links
http://ieeexplore.ieee.org/document/8254682/ae974a485f413a2113503eed53cd6c53
10.1109/glocom.2017.8254682