University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Predictive Base Station Activation in Futuristic Energy-Efficient Control/Data Separated RAN

Mohamed, Abdelrahim, Onireti, O, Imran, Muhammad, Pervaiz, Haris bin, Xiao, Pei and Tafazolli, Rahim (2017) Predictive Base Station Activation in Futuristic Energy-Efficient Control/Data Separated RAN In: IEEE Globecom 2017, 4 - 8 December 2017, Singapore.

[img] Text
1570381531.pdf - Accepted version Manuscript
Restricted to Repository staff only until 9 December 2017.

Download (1MB)

Abstract

Nowadays, system architecture of the fifth generation (5G) cellular system is becoming of increasing interest. To reach the ambitious 5G targets, a dense base station (BS) deployment paradigm is being considered. In this case, the conventional always-on service approach may not be suitable due to the linear energy/density relationship when the BSs are always kept on. This suggests a dynamic on/off BS operation to reduce the energy consumption. However, this approach may create coverage holes and the BS activation delay in terms of hardware transition latency and software reloading could result in service disruption. To tackle these issues, we propose a predictive BS activation scheme under the control/data separation architecture (CDSA). The proposed scheme exploits user context information, network parameters, BS sleep depth and measurement databases to send timely predictive activation requests in advance before the connection is switched to the sleeping BS. An analytical model is developed and closed-form expressions are provided for the predictive activation criteria. Analytical and simulation results show that the proposed scheme achieves a high BS activation accuracy with low errors w.r.t. the optimum activation time.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Mohamed, Abdelrahimabdelrahim.mohamed@surrey.ac.ukUNSPECIFIED
Onireti, OUNSPECIFIEDUNSPECIFIED
Imran, MuhammadM.Imran@surrey.ac.ukUNSPECIFIED
Pervaiz, Haris binh.pervaiz@surrey.ac.ukUNSPECIFIED
Xiao, PeiP.Xiao@surrey.ac.ukUNSPECIFIED
Tafazolli, RahimR.Tafazolli@surrey.ac.ukUNSPECIFIED
Date : 8 December 2017
Copyright Disclaimer : © 2017 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 : 5G cellular system; context awareness; control/ data separation architecture; energy efficiency; predictive activation; radio access network.
Related URLs :
Depositing User : Melanie Hughes
Date Deposited : 05 Sep 2017 12:36
Last Modified : 05 Sep 2017 12:36
URI: http://epubs.surrey.ac.uk/id/eprint/842172

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