Dynamic Bandwidth Provisioning with Fairness and Revenue Considerations for Broadband Wireless Communication

The success of emerging wireless broadband communication systems such as 3.5 G wireless cellular systems and 802.16 broadband wireless systems (WiMAX) will depend, among other factors, on their ability to manage their shared wireless resources in the most efficient way. This is a complex task due to the heterogeneous nature and, hence, diverse bandwidth requirements of applications that these communication systems support and the reliance on high speed shared channels for data delivery instead of dedicated ones. Therefore, bandwidth provisioning is crucial for the success of such communication systems. In this paper, we propose a novel dynamic bandwidth provisioning scheme for broadband wireless communication. The proposed scheme spans multiple time slots/frames and optimally allocates them to the different classes of traffic depending on their weights, the real-time bandwidth requirements of their connections, their channel quality conditions and the expected obtained revenues. Simulation results are provided to show the potential and effectiveness of our scheme.

[1]  Mischa Schwartz,et al.  Bandwidth Allocation Strategies in Wide-Band Integrated Networks , 1986, IEEE J. Sel. Areas Commun..

[2]  S. Singh,et al.  Bandwidth Reservation Strategies for Mobility Support of Wireless Connections with QoS Guarantees , 2002, ACSC.

[3]  H. Varian Intermediate Microeconomics: A Modern Approach , 1987 .

[4]  Man Young Rhee High Speed Downlink Packet Access (HSDPA) , 2009 .

[5]  Hossam S. Hassanein,et al.  Packet scheduling in 3.5G high-speed downlink packet access networks: breadth and depth , 2007, IEEE Network.

[6]  Hans D. Hallen,et al.  Long-range prediction of fading signals , 2000, IEEE Signal Process. Mag..

[7]  Tatsuya Suda,et al.  An adaptive bandwidth reservation scheme for high-speed multimedia wireless networks , 1998, IEEE J. Sel. Areas Commun..

[8]  Yishay Mansour,et al.  Dynamic bandwidth allocation policies , 1996, Proceedings of IEEE INFOCOM '96. Conference on Computer Communications.

[9]  Ibrahim W. Habib,et al.  Adaptive allocation of resources and call admission control for wireless ATM using genetic algorithms , 2000, IEEE Journal on Selected Areas in Communications.

[10]  Torbjörn Ekman Prediction of Mobile Radio Channels : Modeling and Design , 2002 .

[11]  Dong Liang,et al.  Dynamic bandwidth allocation in fixed BWA systems , 2003, International Conference on Communication Technology Proceedings, 2003. ICCT 2003..

[12]  Kang G. Shin,et al.  Analysis of combined adaptive bandwidth allocation and admission control in wireless networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[13]  Hossam S. Hassanein,et al.  Multi-class bandwidth allocation policy for 3G wireless networks , 2003, 28th Annual IEEE International Conference on Local Computer Networks, 2003. LCN '03. Proceedings..

[14]  Rodney G. Vaughan,et al.  Short-term mobile channel prediction using discrete scatterer propagation model and subspace signal processing algorithms , 2000, Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152).