Realistic framework for resource allocation in macro–femtocell networks based on genetic algorithm

Hanaa Marshoud (), Hadi Otrok (), Hassan Barada (), Rebeca Estrada (), Abdallah Jarray () and Zbigniew Dziong ()
Additional contact information
Hanaa Marshoud: Khalifa University of Science, Technology and Research
Hadi Otrok: Khalifa University of Science, Technology and Research
Hassan Barada: Khalifa University of Science, Technology and Research
Rebeca Estrada: ESPOL
Abdallah Jarray: Universite du Quebec, Ecole de Technologie Superieure
Zbigniew Dziong: Universite du Quebec, Ecole de Technologie Superieure

Telecommunication Systems: Modelling, Analysis, Design and Management, 2016, vol. 63, issue 1, No 9, 99-110

Abstract: Abstract In this paper, we consider the problem of resource allocation in non-dense macrocell–femtocell networks. We build a comprehensive realistic framework that overcomes the limitations of previous research work such as (1) resources underutilization due to the equal transmitted power per subcarrier in macrocell, (2) lack of femtocells selection mechanism that grant access to public users without depriving their own subscribers. Orthogonal Frequency Division Multiple Access is a promising candidate for efficient spectrum sharing techniques as it eliminates intracell interference. We propose a base station selection and resource allocation model for two-tier networks that is able to: (i) maximize the overall network throughput, (ii) find the appropriate serving base station for each mobile user, and (iii) jointly assign bandwidth and power to each user. The proposed approach is based on Genetic Algorithm (GA) technique since this technique allows to find a near optimal solution and to speed up the optimization process. Simulations are conducted under realistic scenarios where user mobility and resource reservation are taken into account. The performance of the proposed approach is compared with a Mixed Integer Linear Programming (MILP) approach and the Weigthed Water Filling (WWF) algorithm.

Keywords: Femtocell; Macrocell; Resource allocation; Optimization theories; Linear programming; Genetic algorithm (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11235-015-9976-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:telsys:v:63:y:2016:i:1:d:10.1007_s11235-015-9976-x

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11235

DOI: 10.1007/s11235-015-9976-x

Access Statistics for this article

Telecommunication Systems: Modelling, Analysis, Design and Management is currently edited by Muhammad Khan

More articles in Telecommunication Systems: Modelling, Analysis, Design and Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().