1st International ICST Conference on Access Networks

Research Article

Measurements to assist access network design with fixed WiMAX in urban environment

  • @INPROCEEDINGS{10.1145/1189355.1189365,
        author={Zolt\^{a}n  N\^{e}meth and Csaba A.  Szab\^{o}},
        title={Measurements to assist access network design with fixed WiMAX in urban environment},
        proceedings={1st International ICST Conference on Access Networks},
        publisher={ACM},
        proceedings_a={ACCESSNETS},
        year={2006},
        month={9},
        keywords={WiMAX Access Network Field Measurement.},
        doi={10.1145/1189355.1189365}
    }
    
  • Zoltán Németh
    Csaba A. Szabó
    Year: 2006
    Measurements to assist access network design with fixed WiMAX in urban environment
    ACCESSNETS
    ACM
    DOI: 10.1145/1189355.1189365
Zoltán Németh1,2,*, Csaba A. Szabó3,4,*
  • 1: Mobile Innovation Centre, Budapest University of Technology and Economics
  • 2: Magyar tudósok krt. 2, Budapest, Hungary.
  • 3: Dept. of Telecommunications, Budapest University of Technology and Economics
  • 4: Magyar tudósok krt. 2. Budapest, Hungary.
*Contact email: pepa@mcl.hu, szabo@hit.bme.hu

Abstract

WiMAX is a wireless MAN technology designed to diminish the broadband gap in rural areas and to provide the last mile solution. Besides, the WiMAX also ensures efficient access method in urban environment due to the good NLOS behavior of the OFDM transmission technology. On the other hand, network design with WiMAX in urban environment is a rather challenging task. Our work is focused on the examination of WiMAX transmissions in urban area. We performed preliminary laboratory tests and extensive field measurements; some of the results are presented in this paper. The measurements were influenced by several factors including the radio environment, device arrangement and configuration and also transmission protocols, among others. Our conclusion is that careful design is required and several parameters should be considered to ensure optimal solution in a given environment.