ZTE Communications ›› 2010, Vol. 8 ›› Issue (3): 50-55.

• Research Paper • Previous Articles     Next Articles

Applying Analytical Hierarchy Process to a WiMAX Performance Evaluation Model

Ronald Shiu Keung Kwan1, Kim Fung Tsang2   

  1. 1. Department of MEEM, City University of Hong Kong, Hong Kong SAR, P. R. China;
    2. Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, P. R. China
  • Online:2010-09-25 Published:2020-02-28
  • About author:Ronald Shiu Keung Kwan has an MSc from City University, London, and an MEng. from the University of Hong Kong. He is a member of the British Computer Society, and the Institute of Electrical Engineering (IEE). He is currently the assistant vice president of a global telecommunication company and a doctoral student at City University, Hong Kong. He has over 20 years experience working in the telecom industry in Hong Kong and North America. He has held several senior positions in system and product development, solution consulting, and network solution design. Kwan has received a Premium Award for best paper from the Institute of Electrical Engineering. His recent areas of research include Fixed Mobile Convergence (FMC), wireless broadband access, and Ethernet backhaul.

    Kim Fung Tsang has a doctoral degree from the University of Wales, Cardiff. He joined City University of Hong Kong in March 1988, and is now an associate professor in the Department of Electronic Engineering. His current research interests include radio frequency circuit design, mobile communication network design, energy management, and wireless automation protocol design.

Abstract: Evaluating performance of individual features of WiMAX technology is a topic of widespread discussion. Currently, there is no quantitative way of measuring WiMAX technology so that wireless operators can meet their design objectives. This paper outlines a set of design criteria for WiMAX and provides a decision-making aid that ranks the importance of criteria using Analytic Hierarchy Process (AHP). This ranking should sufficiently reflect market expectations of the relative importance of various design criteria. A model integrating AHP priorities with enhanced Data Envelopment Analysis (DEA) is the basis for formulating a technological value in simple, comparable format. A case study is provided to show how this technological value is used to evaluate a three year network deployment plan. In the future, this model could be extended to WiMAX equipment suppliers for the purpose of validating performance targets of individual criteria, and enhancing supplier roadmaps for future network development.