A new modeling approach for utility-based resource allocation in OFDM networks

Mehri Mehrjoo, Somayeh Moazeni, Xuemin Shen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Scopus citations

Abstract

A new modeling approach is proposed for utility-based resource allocation in orthogonal frequency division multiplexing (OFDM) networks with heterogeneous traffic. The spectrum and power of a base station (BS) are allocated to users, in a point to multi-point manner, to maximize the users' aggregate utility. We first model the problem of assigning sub-carriers to the users and the power allocation to the sub-carriers as a mixed integer nonlinear programming (MINLP) problem. The MINLP problem is maximizing a non-concave objective function over a non-convex feasible region that includes some integer variables. We then eliminate integer variables and propose a continuous nonlinear programming (NLP) model for the problem. The obtained model is suitable for heuristic and search algorithms. Genetic algorithm (GA) is applied to obtain the near optimal solution of the NLP model. Numerical results are presented to illustrate the convergence of the GA and utilization performance of the network.

Original languageEnglish
Title of host publicationICC 2008 - IEEE International Conference on Communications, Proceedings
Pages337-342
Number of pages6
DOIs
StatePublished - 2008
EventIEEE International Conference on Communications, ICC 2008 - Beijing, China
Duration: 19 May 200823 May 2008

Publication series

NameIEEE International Conference on Communications
ISSN (Print)0536-1486

Conference

ConferenceIEEE International Conference on Communications, ICC 2008
Country/TerritoryChina
CityBeijing
Period19/05/0823/05/08

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