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    On energy minimization of heterogeneos cloud radio access networks

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    Publication date
    2016
    Author
    Sigwele, Tshiamo
    Pillai, Prashant
    Hu, Yim Fun
    Keyword
    Base station sleep; Bin packing; Cloud computing; C-RAN; Energy effi ciency; HetNets; Virtualization
    Peer-Reviewed
    Yes
    
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    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.
    URI
    http://hdl.handle.net/10454/11124
    Version
    No full-text in the repository
    Citation
    Sigwele T, Alam AS, Pillai P et al (2016) On energy minimization of heterogeneos cloud radio access networks. In: 8th EAI International Conference on Wireless and Satellite Systems (WiSATS). 19-20 Sep 2016, Cardiff, Wales.
    Type
    Conference paper
    Collections
    Engineering and Informatics Publications

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