EAI Endorsed Transactions on Wireless Spectrum 17(11): e1

Research Article

Advances on Software Defined Wireless Networking

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  • @ARTICLE{10.4108/eai.9-1-2017.152095,
        author={D. B. Rawat and M. Song and C. Xin},
        title={Advances on Software Defined Wireless Networking},
        journal={EAI Endorsed Transactions on Wireless Spectrum},
        volume={17},
        number={11},
        publisher={EAI},
        journal_a={WS},
        year={2017},
        month={1},
        keywords={Software defined networks, cognitive radio networks, wireless spectrum},
        doi={10.4108/eai.9-1-2017.152095}
    }
    
  • D. B. Rawat
    M. Song
    C. Xin
    Year: 2017
    Advances on Software Defined Wireless Networking
    WS
    EAI
    DOI: 10.4108/eai.9-1-2017.152095
D. B. Rawat1,*, M. Song2, C. Xin3
  • 1: Department of Electrical Engineering and Computer Science, Howard University, Washington, DC 20059, USA
  • 2: Department of Computer Science, Michigan Technological University, Houghton, MI 49931, USA
  • 3: Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA 20529, USA
*Contact email: db.rawat@ieee.org

Abstract

Software defined wireless networking is regarded as an emerging technology to enhance spectrum efficiency and improve the overall network performance. In this paper, we summarise the special issue on recent advances in software defined wireless networking. Specifically, this special issue publishes following findings: i) a novel context aware medium access control scheme for multichannel buffer-aided cognitive networks to reduce the delay by exploiting the packets’ contexts; ii) a utility-based uplink scheduling algorithm that accommodates different performance metrics and adapts its decisions based on user-specified profiles by incorporating an intermediary layer between the MAC and network layer; iii) an opportunistic spectrum access (OSA) solution with stationary and nonstationary Markov multi-armed bandit (MAB) frameworks using index based algorithm (called QoS-UCB) which balances exploration in terms of occupancy and quality for transmission for stationary environments and discounted QoS-UCB (DQoS-UCB) for the non-stationary case. These methods have been formally analysed and evaluated using numerical results obtained from extensive simulations.