ISSN 0253-2778

CN 34-1054/N

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An uplink resource allocation strategy in heterogeneous networks based on WLAN

  • Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China

Cite this:
https://doi.org/10.3969/j.issn.0253-2778.2014.04.001
  • Received Date: 20 August 2013
  • Accepted Date: 27 December 2013
  • Rev Recd Date: 27 December 2013
  • Publish Date: 30 April 2014
    Abstract

  • Abstract

    WLAN can provide high data rates for users, which is an effective complement to traditional cells in heterogeneous networks. However, resource management in WLAN is different from the central allocation of cellular networks, where exist collision and performance anomaly. A maximizing utility function problem was formulated, which allowed for the collision and performance anomaly in WLAN. Due to the non-convexity of constraints, the problem could not be solved directly. Poisson approximation of binominal distribution and the relationship between user number and collision probability were used to transform it into a convex problem. A distributed algorithm was proposed to optimally allocate resources between networks. Simulation results show that it can significantly enhance system performance and improve the utilization of WLAN.

    Abstract

    WLAN can provide high data rates for users, which is an effective complement to traditional cells in heterogeneous networks. However, resource management in WLAN is different from the central allocation of cellular networks, where exist collision and performance anomaly. A maximizing utility function problem was formulated, which allowed for the collision and performance anomaly in WLAN. Due to the non-convexity of constraints, the problem could not be solved directly. Poisson approximation of binominal distribution and the relationship between user number and collision probability were used to transform it into a convex problem. A distributed algorithm was proposed to optimally allocate resources between networks. Simulation results show that it can significantly enhance system performance and improve the utilization of WLAN.
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    • References(15)
  • [1]
    Ismail M, Zhuang W H. A distributed multi-service resource allocation algorithm in heterogeneous wireless access medium[J]. IEEE Journal on Selected Areas in Communications, 2012, 30(2): 425-432.
    [2]
    Ismail M，Zhuang W H. Decentralized radio resource allocation for single-network and multi-homing services in cooperative heterogeneous wireless access medium[J]. IEEE Transactions on Wireless Communications, 2012, 11(11): 4 085-4 095.
    [3]
    Xue P, Gong P, Park J H, et al. Radio resource management with proportional rate constraint in the heterogeneous networks[J]. IEEE Transactions on Wireless Communications, 2012, 11(3): 1 066-1 075.
    [4]
    Bianchi G. Performance analysis of the IEEE 802.11 distributed coordination function[J]. IEEE Journal on Selected Areas in Communications, 2000, 18(3): 535-547.
    [5]
    Song W, Jiang H, Zhuang W H. Performance analysis of the WLAN-first scheme in cellular/WLAN interworking[J]. IEEE Transactions on Wireless Communications, 2007, 6(5): 1 932-1 952.
    [6]
    Song W, Zhuang W H. Multi-service load sharing for resource management in the cellular/WLAN integrated network[J]. IEEE Transactions on Wireless Communications, 2009, 2(8): 725-735.
    [7]
    Zhang Chunpeng, Hu Yuchong, Xu Yinlong, et al. A contention window control algorithm in 802.11 multi-rate WLANs[J]. Journal of University of Science and Technology of China, 2010, 42(2): 184-190.
    张纯鹏，胡燏翀，许胤龙, 等. 802.11多速率无线局域网中的竞争窗口控制算法[J]. 中国科学技术大学学报, 2010, 40(2): 184-190.
    [8]
    Heusse M, Rousseau F, Berger-Sabbatel G, et al. Performance anomaly of 802.11b[C]// Twenty-Second Annual Joint Conference of the IEEE Computer and Communications. San Francisco, USA: IEEE Societies, 2003, 2: 836-843.
    [9]
    Babu A V, Jacob L. Performance analysis of IEEE 802.11 multirate WLANs: Time based fairness vs throughput based fairness[C]// IEEE International Conference on Wireless, Communications, Networking and Mobile Computing. Wuhan, China: IEEE Press, 2005, 1: 203-208.
    [10]
    Gong H Z, Nahm K, Kim J W. Distributed fair access point selection for multi-rate IEEE 802.11 WLANs[C]// 5th IEEE Consumer Communications and Networking Conference. Las Vegas, USA: IEEE Press, 2008: 528-532.
    [11]
    Pei X B, Jiang T, Qu D M, et al. Radio-resource management and access-control mechanism based on a novel economic model in heterogeneous wireless networks[J]. IEEE Transactions on Vehicular Technology, 2010, 59(6): 3 047-3 056.
    [12]
    Kumar A, Altman E, Miorandi D, et al. New insights from a fixed-point analysis of single cell IEEE 802.11 WLANs[J]. IEEE/ACM Transactions on Networking, 2007, 15(3): 588-601.
    [13]
    Luo C Q, Ji H, Li Y. Utility-based multi-service bandwidth allocation in the 4G heterogeneous wireless access networks[C]// IEEE Wireless Communications and Networking Conference. Budapest, Hungary: IEEE Press, 2009: 1-5.
    [14]
    Charnes A, Cooper W W. Programming with Linear Fractional Functionals[J]. Naval Research logistics quarterly, 2006, 9(3-4): 181-186.
    [15]
    Boyd S, Vandengerghe L. Convex Optimization [M]. Cambridge, UK: Cambridge University Press, 2004.
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    [1]
    Ismail M, Zhuang W H. A distributed multi-service resource allocation algorithm in heterogeneous wireless access medium[J]. IEEE Journal on Selected Areas in Communications, 2012, 30(2): 425-432.
    [2]
    Ismail M，Zhuang W H. Decentralized radio resource allocation for single-network and multi-homing services in cooperative heterogeneous wireless access medium[J]. IEEE Transactions on Wireless Communications, 2012, 11(11): 4 085-4 095.
    [3]
    Xue P, Gong P, Park J H, et al. Radio resource management with proportional rate constraint in the heterogeneous networks[J]. IEEE Transactions on Wireless Communications, 2012, 11(3): 1 066-1 075.
    [4]
    Bianchi G. Performance analysis of the IEEE 802.11 distributed coordination function[J]. IEEE Journal on Selected Areas in Communications, 2000, 18(3): 535-547.
    [5]
    Song W, Jiang H, Zhuang W H. Performance analysis of the WLAN-first scheme in cellular/WLAN interworking[J]. IEEE Transactions on Wireless Communications, 2007, 6(5): 1 932-1 952.
    [6]
    Song W, Zhuang W H. Multi-service load sharing for resource management in the cellular/WLAN integrated network[J]. IEEE Transactions on Wireless Communications, 2009, 2(8): 725-735.
    [7]
    Zhang Chunpeng, Hu Yuchong, Xu Yinlong, et al. A contention window control algorithm in 802.11 multi-rate WLANs[J]. Journal of University of Science and Technology of China, 2010, 42(2): 184-190.
    张纯鹏，胡燏翀，许胤龙, 等. 802.11多速率无线局域网中的竞争窗口控制算法[J]. 中国科学技术大学学报, 2010, 40(2): 184-190.
    [8]
    Heusse M, Rousseau F, Berger-Sabbatel G, et al. Performance anomaly of 802.11b[C]// Twenty-Second Annual Joint Conference of the IEEE Computer and Communications. San Francisco, USA: IEEE Societies, 2003, 2: 836-843.
    [9]
    Babu A V, Jacob L. Performance analysis of IEEE 802.11 multirate WLANs: Time based fairness vs throughput based fairness[C]// IEEE International Conference on Wireless, Communications, Networking and Mobile Computing. Wuhan, China: IEEE Press, 2005, 1: 203-208.
    [10]
    Gong H Z, Nahm K, Kim J W. Distributed fair access point selection for multi-rate IEEE 802.11 WLANs[C]// 5th IEEE Consumer Communications and Networking Conference. Las Vegas, USA: IEEE Press, 2008: 528-532.
    [11]
    Pei X B, Jiang T, Qu D M, et al. Radio-resource management and access-control mechanism based on a novel economic model in heterogeneous wireless networks[J]. IEEE Transactions on Vehicular Technology, 2010, 59(6): 3 047-3 056.
    [12]
    Kumar A, Altman E, Miorandi D, et al. New insights from a fixed-point analysis of single cell IEEE 802.11 WLANs[J]. IEEE/ACM Transactions on Networking, 2007, 15(3): 588-601.
    [13]
    Luo C Q, Ji H, Li Y. Utility-based multi-service bandwidth allocation in the 4G heterogeneous wireless access networks[C]// IEEE Wireless Communications and Networking Conference. Budapest, Hungary: IEEE Press, 2009: 1-5.
    [14]
    Charnes A, Cooper W W. Programming with Linear Fractional Functionals[J]. Naval Research logistics quarterly, 2006, 9(3-4): 181-186.
    [15]
    Boyd S, Vandengerghe L. Convex Optimization [M]. Cambridge, UK: Cambridge University Press, 2004.
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