Conference Paper

An Efficient Analytical Model for the Dimensioning of WiMAX Networks.

DOI: 10.1007/978-3-642-01399-7_41 Conference: NETWORKING 2009, 8th International IFIP-TC 6 Networking Conference, Aachen, Germany, May 11-15, 2009. Proceedings
Source: DBLP


This paper tackles the challenging task of developing a sim- ple and accurate analytical model for performance evaluation of WiMAX networks. The need for accurate and fast-computing tools is of primary importance to face complex and exhaustive dimensioning issues for this promising access technology. In this paper, we present a generic Marko- vian model developed for three usual scheduling policies (slot sharing fairness, throughput fairness and opportunistic scheduling) that provides closed-form expressions for all the required performance parameters at a click speed. This model is compared in depth with realistic simulations that show its accuracy and robustness regarding the dierent modeling assumptions. Finally, the speed of our analytical tool allows us to carry on dimensioning studies that require several thousands of evaluations, which would not be tractable with any simulation tool.

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    • "A number of related research studies present analytical models of WiMAX systems. In [17] [18] the authors develop a generic analytical model of WiMAX systems that takes into account frame structure, precise slot sharing-based scheduling and channel quality variation of WiMAX systems and provides closed-form expressions for Erlang-like performance parameters such as throughput per user or channel utilization. Although this work presents a notable analytical approach, it neglects the power consumption issue. "
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    ABSTRACT: Worldwide Interoperability for Microwave Access (WiMAX) is generally considered as a competitive candidate networking technology for the realization of the 4G vision. Among the key factors towards its successful and widespread deployment are the effective support of mobility and the provision of mechanisms for enabling service access at a high quality level in an efficient and cost-effective manner. Nonetheless, this effort should take into account and adequately address strict and severe energy limitations that the mobile devices are currently facing. Power saving constitutes an issue of vital importance, as mobile terminals continue to incorporate more and more functionalities and energy-hungry features in order to support the ever increasing user requirements and demands. The standard employs variations of power saving classes in a frame-to-frame basis, while recent power saving mechanisms proposed in related research literature limit their activity in whole frames, neglecting, thus, the intra-frame power saving capabilities. In this work, the intra-frame energy conservation potentials of the mobile WiMAX network are studied and a novel analytical approach is provided, focusing on the downlink direction where the bandwidth allocation involves idle intervals and dynamic inactivity periods. Specifically, we endeavour to accurately analyse the potential energy conservation capabilities in an intra-frame point of view, applying the well-known simple packing algorithm to distribute the available bandwidth to the various subscribers. Our analytical findings are thoroughly cross-validated via simulation, providing clear insights into the intraframe energy reduction capabilities.
    Computer Networks 05/2013; DOI:10.1016/j.comnet.2013.02.015 · 1.26 Impact Factor
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    • "Analytical evaluation of the capacity of such systems was also attempted. In [20] generic Markovian model for performance evaluation of WiMAX networks is developed three different scheduling policies while the model in [21] is a simple analytical method for capacity evaluation of networks with the various overheads and for three sample applications—Mobile TV, VoIP, and data considered. Finally a model for VoIP Capacity of the Downlink is given in [22]. "
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    ABSTRACT: 4G is promising a wireless broadband with data rates up to 1Gbps. The two candidate technologies for 4G are the Advanced Long Term Evolution (Advanced LTE) which is based on the 3GPP standards and the WiMAX 2.0 based on the IEEE 802.16 family of standards. The common feature of both technologies is that they will provide All-IP connectivity with flexible bit rates and quality of service guarantees for multiple classes of services including voice, mainly using voice over IP, data and video services. Most of the performance studies of 4G technologies use highly complex and sophisticated simulations due to the multiple complexity factors in investigating 4G technologies such as All-IP flexible bit rates, adaptive coding and modulation as well as the multi-services provided. These factors usually make any modelling attempt very difficult. This paper presents a numerical/analytical model for a 4GWiMAX cell based on a multi-dimensional Continuous-Time Markov Chain (CTMC) model. Performance measures were derived for the key performance indicators such as throughput and average bit rate per cell and per service class. By assuming minimum acceptable bit rates for certain quality of service guarantees, we derived measures for blocking probabilities. The model has been formulated and solved using MOSEL-2 (Modelling Specification and Evaluation Language) which captures the key features of a 4G system that affect services at session/call level. The results obtained from the model using sample parameters show shat, the model can provide very useful insight to system behavior and can give good first indication to the performance of such a complex system.
    Wireless Personal Communications 02/2013; DOI:10.1007/s11277-013-1008-0 · 0.65 Impact Factor
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    • "As our main concern is to introduce the various parameters needed for the dimensioning procedure, we won't detail their expressions. However, note that they have already been fully detailed, explained and validated in [15]–[17]. "
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    ABSTRACT: Extended Abstract Abstract—In this paper, we present a comprehensive methodology to dimension an OFDMA (Orthogo-nal Frequency Division Multiple Access) network. We divide the dimensioning task into sub-blocks and present implementation details of each block. The first block has the objective of determining the spatial SINR (Signal to Interference plus Noise Ratio) distribution over a cell area and the MCS (Modulation and Coding Scheme) probabilities. This task usually relies on extensive Monte Carlo simulations. In this paper, we propose a semi-analytical approach in order to reduce computational time. The second block evaluates dimensioning parameters based on a markovian approach. Our model takes into account mixed traffic profiles, different scheduling policies and MCS probabilities obtained from the first step. Theses two stages (radio coverage and traffic analysis) form together a complete dimensioning process for OFDMA networks.
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