A mathematical framework for statistical QoS and capacity studies in OFDM networks
2009 (English)In: 2009 IEEE 20TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, New York: IEEE conference proceedings, 2009Conference paper (Other academic)
This paper presents a mathematical modeling framework for studying the capacity of multi-cell orthogonal frequency division multiplexing networks in single- and multi-service scenarios with various quality of service (QoS) constraints. The framework is built around a feasible network load concept which relates cell resource utilization and interference-dependent resource demand generated by traffic. The feasible load problem is formulated for a general irregular network with non-uniform traffic distribution. Unlike in earlier works, the proposed model explicitly takes into account interference which is load- and service-dependent and models the service constraints on a time scale longer than the typical scheduling interval. A computationally efficient stochastic model is proposed for a regular network deployment with a user distribution pattern repeated over cells and then enhanced with QoS constraints. As an example application, the capacity region problem is studied and numerical results are presented for a realistic network setup. The framework can further be used, for example, for studying radio resource management algorithms or optimizing QoS parameters with respect to an operator QoS policy.
Place, publisher, year, edition, pages
New York: IEEE conference proceedings, 2009.
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-203071DOI: 10.1109/PIMRC.2009.5450287ISI: 000305824602158ScopusID: 2-s2.0-77952874423OAI: oai:DiVA.org:kth-203071DiVA: diva2:1081780
2009 IEEE 20TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS
QC 201703212017-03-152017-03-152017-03-21Bibliographically approved