Fundamentals of WiMAX: Understanding Broadband Wireless Networking (Prentice Hall Communications Engineering and Emerging Technologies Series)
WiMax/MobileFi
Scheduler design for multiple traffic classes in OFDMA networks
Computer Communications
An adaptive cross-layer design for multiservice scheduling in OFDMA based mobile WiMAX systems
Computer Communications
Fast system load estimation in the IEEE 802.16 OFDMA network
Computer Communications
A survey of MAC based QoS implementations for WiMAX networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Capacity estimation and TCP performance enhancement over mobile WiMAX networks
IEEE Communications Magazine
System-level modeling of IEEE 802.16E mobile wimax networks: Key issues
IEEE Wireless Communications
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Mobile profile of WiMAX technology, based on IEEE 802.16e standard, is due to support multi-application services, while benefiting a wide range of implementation flexibilities. The current document presents a simple capacity estimation methodology for WiMAX systems. In this paper, the term capacity concerns with the maximum number of simultaneous multi-service users that each specific Mobile WiMAX access point can jointly support. A dynamic PHY+MAC overhead removal method is formulated to achieve an improved system goodput with respect to users distribution and multi-burst construction strategy. A service delivery model is presented that investigates the QoS requirements of the services to be supported, along with elaborating an application profile as a consistent input for capacitating and dimensioning studies. The minimum resource consumption calculation for the joint-application users is derived at each given time. An incremental algorithm compares the optimal available resources with minimum service demand for each number of users to arrive at maximum system capacity. Using the proposed algorithm, different simulation scenarios are studied based on the most used WiMAX implementation parameters in practice. The simulation results prove the significant roll of overhead calculation in performance evaluation studies. Furthermore, these results can be used for network planning and dimensioning purposes, as well as providing reference measures for scheduling performance analysis and detailed simulations.