ChinaCom2009-Frontiers on Communications and Networking Symposium

Research Article

Adaptive Bandwidth Allocation Model for Internet-Attached WiMAX Networks

  • @INPROCEEDINGS{10.1109/CHINACOM.2009.5339863,
        author={Tsang-Ling  Sheu and Kai-Chen Huang},
        title={Adaptive Bandwidth Allocation Model for Internet-Attached WiMAX Networks},
        proceedings={ChinaCom2009-Frontiers on Communications and Networking Symposium},
        publisher={IEEE},
        proceedings_a={CHINACOM2009-FCN},
        year={2009},
        month={11},
        keywords={---WiMAX Dynamic Bandwidth Allocation Quality of Services Traffic Types Markov Chains.},
        doi={10.1109/CHINACOM.2009.5339863}
    }
    
  • Tsang-Ling Sheu
    Kai-Chen Huang
    Year: 2009
    Adaptive Bandwidth Allocation Model for Internet-Attached WiMAX Networks
    CHINACOM2009-FCN
    IEEE
    DOI: 10.1109/CHINACOM.2009.5339863
Tsang-Ling Sheu1,*, Kai-Chen Huang1,*
  • 1: Department of Electrical Engineering National Sun Yat-Sen University Kaohsiung, Taiwan
*Contact email: sheu@ee.nsysu.edu.tw , sheu@ee.nsysu.edu.tw

Abstract

This paper presents an adaptive bandwidth allocation (ABA) model for Internet-attached wireless broadband network, WiMAX (IEEE 802.16). The proposed ABA algorithm consists of three allocation phases. First, ABA would reserve the unsolicited bandwidth for constant-bit-rate traffic (UGS). Then, polling bandwidth is allocated for real-time traffic (rtPS) to meet their end-to-end delay constraints and for non-real-time traffic (nrtPS) to meet their minimum throughput requirements. Finally, the remaining bandwidth, if any, is allocated for the best-effort (BE) traffic to avoid any possible starvation. A four-dimension Markov chains is built to analyze the performance of the proposed ABA. In the analytical model, we divide transmission paths over WiMAX links into upload and download phases. In comparison to a previous work, we observe the performance superiority in average delay, average throughput, and average packet drop ratio by varying traffic parameters.