Home   >   CSC-OpenAccess Library   >    Manuscript Information
Analytical Models for Dimensioning of OFDMA-based Cellular Networks Carrying VoIP and Best-Effort Traffic
Bruno Baynat
Pages - 104 - 134     |    Revised - 15-09-2012     |    Published - 25-10-2012
Volume - 4   Issue - 4    |    Publication Date - October 2012  Table of Contents
Performance Evaluation, Analytical Models, 4G Networks, OFDMA
The last years have seen an exponentially growing interest for mobile telecommunication services. As a consequence, a great diversity of applications is expected to be supported by cellular networks. To answer this ever increasing demand, the ITU-R defined the requirements that the fourth generation (4G) of mobile standards must fulfill. Today, two especially promising candidates for 4G stand out: WiMAX and LTE. However, 4G cellular networks are still far from being implemented, and the high deployment costs render over-provisioning out of question. We thus propose in this paper accurate and convenient analytical models well-suited for the complex dimensioning of these promising access networks. Our main interest is WiMAX, yet, we show how our models can be easily used to consider LTE cells since both technologies are based on OFDMA. Generic Markovian models are developed specifically for three service classes defined in the WiMAX standard: UGS, ertPS and BE, respectively corresponding to VoIP, VoIP with silence suppression and best-effort traffic. First, we consider cells carrying either UGS, ertPS or BE traffic. Three methods to combine the previous models are then proposed to assume both UGS and BE traffic in the studied cell. Finally, we provide a way to easily integrate the ertPS traffic and obtain a UGS/ertPS/BE model able to account for multiple traffic profiles in each service class while keeping an instantaneous resolution. The proposed models are compared in depth with realistic simulations that show their accuracy. Lastly, we demonstrate through different examples how our models can be used to answer dimensioning issues which would be intractable with simulations.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 Scribd 
5 PdfSR 
3GPP LTE: Homepage with specifications - http://www.3gpp.org/LTE.
A. Berger and Y. Kogan. Dimensioning bandwidth for elastic traffic in high-speed data networks.IEEE/ACM Transactions on Networking, 8(5):643–654, October 2000.
A. Feldmann, A. C. Gilbert, P. Huang, and W. Willinger. Dynamics of IP traffic: A study of the role of variability and the impact of control. In Computer Communication Review, October 1999.
A. Jensen. Truncated multidimensional distributions. The Life and Works of A.K. Erlang, pages 58–70, 1948.
A. Sayenko, O. Alanen, J. Karhula, and T. Hamalainen. Ensuring the QoS requirements in 802.16 scheduling. In Proc. of the 9th ACM International Symposium on Modeling Analysis and Simulation of Wireless and Mobile Systems, 2006.
C. Hoymann. Analysis and performance evaluation of the OFDM-based metropolitan area network IEEE 802.16. In Computer Networks, 2005.
C. Tarhini and T. Chahed. On Mobility of Voice-Like and Data Traffic in IEEE802.16e. In Global Telecommunications, 2008.
C.-H. Jiang and T.-C. Tsai. Token bucket based CAC and packet scheduling for IEEE 802.16 broadband wireless access networks. In Proc. of the 3rd IEEE Consumer Communications and Networking Conference, January 2006.
D. Heyman, T. Lakshman, and A. Neidhardt. New method for analyzing feedback protocols with applications to engineering web traffic over the internet. In Proc. of the ACM Sigmetrics, June 1997.
D. Niyato and E. Hossain. A queuing-theoretic and optimization-based model for radio resource management in IEEE 802.16 broadband networks. IEEE ToC (vol. 55), 2006.
Draft IEEE std 802.16e/D9. IEEE Standard for local and metropolitan area networks - Part 16: Air Interface for Fixed Broadband Wireless Access Systems., 2005.
F. Baskett, K. Chandy, R. Muntz, and F. Palacios. Open, closed, and mixed networks of queues with different classes of customers. Journal of the Association of Computing Machinery, 22(2):248–260,April 1975.
F. Delcoigne, A. ProutiRre, and G. R ´ Ogni ? O. Modelling integration of streaming and data traffic. In?Performance Evaluation, 2004.
IEEE Standard for local and metropolitan area networks - Part 16: Air Interface for Fixed Broadband Wireless Access Systems, 2004.
J. Lu and M. Ma. A cross-layer elastic CAC and holistic opportunistic scheduling for QoS support in WiMAX. In Computer Networks, 2010.
K.-C. Chen and J. R. B. de Marca. Mobile WiMAX. Wiley, February 2008.
M. Dirani, C. Tarhini, and T. Chahed. Cross-layer modeling of capacity in wireless networks Application to UMTS-HSDPA, IEEE802.11 WLAN and IEEE802.16 WiMAX. In Computer Communications,2007.
M. Ibrahim, K. Khawam, A. E. Samhat, and S. Tohme. Analytical framework for dimensioning hierarchical WiMax-WiFi networks. In Computer Networks, 2009.
M. Maqbool, M. Coupechoux, P. Godlewski, S. Doirieux, B. Baynat, and V. Capdevielle. Dimensioning Methodology for OFDMA Networks. In Proc. of the Wireless World Research Forum (WWRF22),2009.
P. T. Brady. A model for generating ON/OFF speech patterns in two-way conversations. In Bell Labs Syst. Tech. J., vol. 48, no. 9, pages 2445–2472, 1969.
P. T. Brady. A technique for investigating ON/OFF patterns for speech. In Bell Labs Syst. Tech. J.,vol. 44, no. 1, pages 1–22, 1965.
S. Borst and N. Hedge. Integration of Streaming and Elastic Traffic in Wireless Networks. In IEEE Infocom, 2007.
S. Borst. User-level performance of channel-aware scheduling algorithms in wireless data networks.In IEEE Infocom, 2003.
S. Doirieux, B. Baynat, M. Maqbool, and M. Coupechoux. An Analytical Model for WiMAX Networks with Multiple Traffic Profiles and Throttling Policy. In Proc. of the 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, June 2009.
S. Doirieux, B. Baynat, M. Maqbool, and M. Coupechoux. An Efficient Analytical Model for the Dimensioning of WiMAX Networks Supporting Multi-profile Best Effort Traffic. Computer Communications Journal, to appear, 2010.
S. Liu and J. Virtamo. Performance Analysis of Wireless Data Systems with a Finite Population of Mobile Users. In 19th ITC, 2005.
T. Bonald and A. Proutiere. Wireless downlink channels: User performance and cell dimensioning.In ACM Mobicom, 2003.
T. O. Engset. On the calculation of switches in an automatic telephone system. In Tore Olaus Engset: The man behind the formula, 1998.
V. B. Iversen. Teletraffic engineering and network planning. Technical University of Denmark, 2006.
V. Singh and V. Sharma. Efficient and fair scheduling of uplink and downlink in IEEE 802.16 OFDMA networks. In Proc. of the IEEE Wireless Communications and Networking Conference, 2006.
Z. Yumei and S. Yu. Scheduling Algorithm with Quality of Service Support in IEEE 802.16 Networks.In Computer Networks, 2009.
Associate Professor Bruno Baynat
LIP6 - UPMC - France

View all special issues >>