Optimization of Wireless Broadband (WiMAX) Systems

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 158)


AWiMax system integrates a number of new technologies, such as multiantenna technologies and adaptive modulation and coding schemes. Those new technologies potentially deliver high data rates that can satisfy customer requirements. However, proper optimization is necessary for system design to achieve the desired superior performance. This chapter discusses the optimization procedure of a WiMax system from various aspects and particularly the radio resource allocation optimization and scheduling optimization. The radio resource allocation includes the optimization of modulation and coding scheme, MIMO modes, power control and allocation and link adaptation. In scheduling optimization, several service and multi-user scheduler mechanisms used in a WiMax system are discussed. WiMax QoS policy is also presented for the scheduling optimization. Finally, several system-level experiments are presented. The experiment results show that proper optimization can boost the system throughput and satisfy various performance requirements.


Orthogonal Frequency Division Multiple Access Best Effort Mobile WiMAX Radio Resource Allocation Proportional Fair Scheduler 
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  1. 1.
    Air Interface for Fixed Broadband Wireless Access Systems. The Institute of Electrical and Electronics Engineers, Inc. (2004)Google Scholar
  2. 2.
    Air Interface for Fixed Broadband Wireless Access Systems. The Institute of Electrical and Electronics Engineers, Inc. (2009)Google Scholar
  3. 3.
    Ahmadi, S.: An overview of next-generation mobileWiMAXTechnology. IEEE Communications Magazine (2009)Google Scholar
  4. 4.
    Alamouti, S.: A simple transmit diversity technique for wireless communications. IEEE Journal on Selected Areas in Communications (JSAC) (1998)Google Scholar
  5. 5.
    Andrews, J.G.: OFDMA. Prentice Hall (2006)Google Scholar
  6. 6.
    Eklund, C., Marks, R., Stanwood, K., Wang, S.: IEEE Standard 802.16: A technical overview of the WirelessMANTM air interface for broadband wireless access. IEEE Communications Magazine (2002)Google Scholar
  7. 7.
    Ferguson, P., Huston, G.: Quality of Service: Delivering QoS on the Internet and in Corporate Network. John Wiley & Sons, Inc. (1998)Google Scholar
  8. 8.
    Gesbert, D., Bolcskei, H., and, G.D., Paulraj, A.: MIMO wireless channels: Capacity and performance prediction. IEEE Global Telecommunication Conf. (GLOBECOM00) 2 (2000)Google Scholar
  9. 9.
    L., Z., Tse, D.N.C.: Diversity and multiplexing: A fundamental trade-off in multiple antenna channels. IEEE Trans. Info. Theory 49 (2003)Google Scholar
  10. 10.
    Senarath, G., Tong,W.: Multihop system evaluation methodology performance metrics. IEEE C 802.16j-06/025 (2006)Google Scholar
  11. 11.
    Yagoobi, H.: Scalable OFDMA physical layer in IEEE 802.16 WirelessMAN. Intel Technology Journal (2004)Google Scholar

Copyright information

© Springer New York 2011

Authors and Affiliations

  1. 1.Cisco SystemsRichardsonUSA

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