Bandwidth and subscriber estimation in uplink and downlink for multi-class single-cell users in mobile WiMAX

Abstract
The fundamentals required for steady growth of broadband wireless remain constant. According to Ericsson’s official predictions, the global market of broadband connectivity will be around 320 million users by the end of this decade. The issues related to increased deployment of WiMAX give rise to challenges related to QoS and scalability. A unique methodology has been adopted to maximize the number of users per sector for multi-traffic users, which include both residential class as well as business class users. The approach makes use of useful bandwidth estimations and implements an algorithm to provide a solution to QoS by restricting the number of users according to bandwidth allocated in both uplink and downlink directions. A modernized methodology to compute the system’s actual throughput and a traffic model for diverse application users is proposed, with a step-by-step depiction to derive an algorithm to determine the maximum number of subscribers that each specific mobile WiMAX sector may support. The results are shown using MATLAB, which takes various system parameters along with service class parameters and presents the results in terms of the maximum number of users supported, along with uplink and downlink bandwidth demanded and capacity available. The presented methodology would help operators planning to implement a wide-coverage network in a city. Using this methodology, service providers will be able to estimate the exact number of base stations and, hence, the network investment and profitability.
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