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Capacity analysis of reservation-based random access for broadband wireless access networks
Saint-Petersburg Institute for Informatics and Automation, Russian Academy of Sciences.ORCID iD: 0000-0003-4894-4134
Brunel University, UK.
University of Wurzburg, Germany.
Saint-Petersburg State University of Aerospace Instrumentation, Russia.
2009 (English)In: IEEE Journal on Selected Areas in Communications, ISSN 0733-8716, E-ISSN 1558-0008, Vol. 27, no 2, 171-181 p.Article in journal (Refereed) Published
Abstract [en]

In this paper we propose a novel model for the capacity analysis on the reservation-based random multiple access system, which can be applied to the medium access control protocol of the emerging WiMAX technology. In such a wireless broadband access system, in order to support QoS, the channel time is divided into consecutive frames, where each frame consists of some consequent mini-slots for the transmission of requests, used for the bandwidth reservation, and consequent slots for the actual data packet transmission. Three main outcomes are obtained: first, the upper and lower bounds of the capacity are derived for the considered system. Second, we found through the mathematical analysis that the transmission rate of reservationbased multiple access protocol is maximized, when the ratio between the number of mini-slots and that of the slots per frame is equal to the reciprocal of the random multiple access algorithm's transmission rate. Third, in the case of WiMAX networks with a large number of subscribers, our analysis takes into account both the capacity and the mean packet delay criteria and suggests to keep such a ratio constant and independent of application-level data traffic arrival rate. © 2006 IEEE.

Place, publisher, year, edition, pages
Piscataway, N.J.: IEEE Press, 2009. Vol. 27, no 2, 171-181 p.
Keyword [en]
Capacity, Medium access control, Random access, Reservation, WiMAX
National Category
Telecommunications Communication Systems
URN: urn:nbn:se:hh:diva-20593DOI: 10.1109/JSAC.2009.090208ISI: 000262988900008ScopusID: 2-s2.0-59649103390OAI: diva2:585217
Available from: 2013-01-14 Created: 2013-01-09 Last updated: 2015-09-29Bibliographically approved

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