Genetic algorithm based resource allocation and interference mitigation for OFDMA macrocell-femtocells networks

Hanaa Marshoud, Hadi Otrok, Hassan Barada, Rebeca Estrada, Zbigniew Dziong

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

14 Scopus citations

Abstract

In this paper, we propose a base station selection and resource allocation model for OFDMA macro-femtocell networks. Dense deployment of femtocells can cause severe interference for femto and macro users alike. Our framework assumes hybrid-access femtocells to grant access to public user in their vicinity and to reduce interference perceived by femto users. Full spectrum sharing is investigated for the purpose of increasing system capacity. The proposed model aims to maximize the network throughput for a given interference threshold. To do so, the model determines the best serving base station based on link conditions. Genetic Algorithm is used to solve the resource optimization problem by finding the appropriate bandwidth and power assignments for each user. Simulations were conducted and a comparison with a modified version of the Weighted Water Filling algorithm is presented.

Original languageBritish English
Title of host publicationProceedings of 2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013
DOIs
StatePublished - 2013
Event2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013 - Dubai, United Arab Emirates
Duration: 23 Apr 201325 Apr 2013

Publication series

NameProceedings of 2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013

Conference

Conference2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013
Country/TerritoryUnited Arab Emirates
CityDubai
Period23/04/1325/04/13

Keywords

  • Femtocell
  • Genetic Algorithm
  • Interference Mitigation
  • Macrocell
  • Resource Allocation
  • Spectrum Sharing

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