A Traffic Load Balancing Framework for Software-Defined Radio Access Networks Powered by Hybrid Energy Sources
- 19 March 2015
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE/ACM Transactions on Networking
- Vol. 24 (2), 1038-1051
- https://doi.org/10.1109/tnet.2015.2404576
Abstract
Dramatic mobile data traffic growth has spurred a dense deployment of small cell base stations (SCBSs). Small cells enhance the spectrum efficiency and thus enlarge the capacity of mobile networks. Although SCBSs consume much less power than macro BSs (MBSs) do, the overall power consumption of a large number of SCBSs is phenomenal. As the energy harvesting technology advances, base stations (BSs) can be powered by green energy to alleviate the on-grid power consumption. For mobile networks with high BS density, traffic load balancing is critical in order to exploit the capacity of SCBSs. To fully utilize harvested energy, it is desirable to incorporate the green energy utilization as a performance metric in traffic load balancing strategies. In this paper, we have proposed a traffic load balancing framework that strives a balance between network utilities, e.g., the average traffic delivery latency, and the green energy utilization. Various properties of the proposed framework have been derived. Leveraging the software-defined radio access network architecture, the proposed scheme is implemented as a virtually distributed algorithm, which significantly reduces the communication overheads between users and BSs. The simulation results show that the proposed traffic load balancing framework enables an adjustable trade-off between the on-grid power consumption and the average traffic delivery latency, and saves a considerable amount of on-grid power, e.g., 30%, at a cost of only a small increase, e.g., 8%, of the average traffic delivery latency.Keywords
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This publication has 20 references indexed in Scilit:
- Offloading in Heterogeneous Networks: Modeling, Analysis, and Design InsightsIEEE Transactions on Wireless Communications, 2013
- RAT selection games in HetNetsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013
- On greening cellular networks via multicell cooperationIEEE Wireless Communications, 2013
- Mathematical Modeling for Network Selection in Heterogeneous Wireless Networks — A TutorialIEEE Communications Surveys & Tutorials, 2012
- Green Cellular Networks: A Survey, Some Research Issues and ChallengesIEEE Communications Surveys & Tutorials, 2011
- Enhanced intercell interference coordination challenges in heterogeneous networksIEEE Wireless Communications, 2011
- A survey on 3GPP heterogeneous networksIEEE Wireless Communications, 2011
- Distributed $\alpha$-Optimal User Association and Cell Load Balancing in Wireless NetworksIEEE/ACM Transactions on Networking, 2011
- Energy Source Aware Target Cell Selection and Coverage Optimization for Power Saving in Cellular NetworksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Dynamic association for load balancing and interference avoidance in multi-cell networksIEEE Transactions on Wireless Communications, 2009