On the energy minimization of heterogeneous cloud radio access networks

Tshiamo Sigwele, Atm Shafiul Alam, Prashant Pillai, Yim Fun Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Next-generation 5G networks is the future of information networks and it will experience a tremendous growth in traffic. To meet such traffic demands, there is a necessity to increase the network capacity, which requires the deployment of ultra dense heterogeneous base stations (BSs). Nevertheless, BSs are very expensive and consume a significant amount of energy. Meanwhile, cloud radio access networks (C-RAN) has been proposed as an energy-efficient architecture that leverages the cloud computing technology where baseband processing is performed in the cloud. In addition, the BS sleeping is considered as a promising solution to conserving the network energy. This paper integrates the cloud technology and the BS sleeping approach. It also proposes an energy-efficient scheme for reducing energy consumption by switching off remote radio heads (RRHs) and idle BBUs using a greedy and first fit decreasing (FFD) bin packing algorithms, respectively. The number of RRHs and BBUs are minimized by matching the right amount of baseband computing load with traffic load. Simulation results demonstrate that the proposed scheme achieves an enhanced energy performance compared to the existing distributed long term evolution advanced (LTE-A) system.

Original languageEnglish
Title of host publicationWireless and Satellite Systems - 8th International Conference, WiSATS 2016, Proceedings
EditorsPrashant Pillai, Ifiok Otung, George Eleftherakis, Giovanni Giambene
PublisherSpringer Verlag
Pages223-234
Number of pages12
ISBN (Print)9783319538495
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event8th International Conference on Wireless and Satellite Systems, WiSATS 2016 - Cardiff, United Kingdom
Duration: Sep 19 2016Sep 20 2016

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume186 LNICST
ISSN (Print)1867-8211

Conference

Conference8th International Conference on Wireless and Satellite Systems, WiSATS 2016
Country/TerritoryUnited Kingdom
CityCardiff
Period9/19/169/20/16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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