University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Energy Efficiency Analysis of Heterogeneous Cache-Enabled 5G Hyper Cellular Networks

Zhang, Jiaxin, Zhang, Xing, Imran, Muhammad Ali, Evans, Barry and Wang, Wenbo (2016) Energy Efficiency Analysis of Heterogeneous Cache-Enabled 5G Hyper Cellular Networks In: 2016 IEEE Global Communications Conference (GLOBECOM), 04-08 Dec 2016, Washington, DC, USA.

[img]
Preview
Text
Energy Efficiency Analysis of Heterogeneous Cache-Enabled 5G Hyper Cellular Networks.pdf - Accepted version Manuscript

Download (754kB) | Preview

Abstract

The emerging 5G wireless networks will pose extreme requirements such as high throughput and low latency. Caching as a promising technology can effectively decrease latency and provide customized services based on group users behaviour (GUB). In this paper, we carry out the energy efficiency analysis in the cache-enabled hyper cellular networks (HCNs), where the macro cells and small cells (SCs) are deployed heterogeneously with the control and user plane (C/U) split. Benefiting from the assistance of macro cells, a novel access scheme is proposed according to both user interest and fairness of service, where the SCs can turn into semi- sleep mode. Expressions of coverage probability, throughput and energy efficiency (EE) are derived analytically as the functions of key parameters, including the cache ability, search radius and backhaul limitation. Numerical results show that the proposed scheme in HCNs can increase the network coverage probability by more than 200% compared with the single- tier networks. The network EE can be improved by 54% than the nearest access scheme, with larger research radius and higher SC cache capacity under lower traffic load. Our performance study provides insights into the efficient use of cache in the 5G software defined networking (SDN).

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Zhang, Jiaxin
Zhang, Xing
Imran, Muhammad AliM.Imran@surrey.ac.uk
Evans, BarryB.Evans@surrey.ac.uk
Wang, Wenbo
Date : 4 December 2016
DOI : 10.1109/GLOCOM.2016.7841790
Copyright Disclaimer : © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords : Throughput; Software; Libraries; 5G mobile communication; Downlink; Cellular networks; Energy consumption
Depositing User : Clive Harris
Date Deposited : 19 Mar 2019 11:52
Last Modified : 19 Mar 2019 11:52
URI: http://epubs.surrey.ac.uk/id/eprint/850796

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800