NDLI: Resource allocation in macrocell-femtocell network using genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Marshoud, H. Otrok, H. Barada, H. Estrada, R. Jarray, A. Dziong, Z.
Copyright Year	2012
Description	Author affiliation: College of Engineering Khalifa University of Science, Technology and Research, UAE (Marshoud, H.; Otrok, H.; Barada, H.) \|\| Electrical Engineering Dep. Universite du Quebec, Ecole de Technologie Superieure, Montreal, QC, Canada (Estrada, R.; Jarray, A.; Dziong, Z.)
Abstract	In this paper, we consider the problem of resource allocation in two-tier networks taking into consideration nondense femtocell deployments. The following limitations can be remarked from the prior work in the field of resource allocation: (1) resources are underutilized due to the equal power distribution in macrocell, (2) access to public users in femtocells is restricted to avoid depriving own subscribers transmissions, and (3) degradation of signal-to-noise ratio due to noise effects has not been evaluated. To overcome these limitations, we propose a joint power and bandwidth allocation among two tiers together with base station selection using genetic algorithm. Our solution is able to: (1) maximize the overall system throughput, (2) find an appropriate serving base station for each user, and (3) bandwidth and power assigned to each user. Simulations were conducted and a comparison with a Weighted Water Filling algorithm is carried out.
Starting Page	474
Ending Page	479
File Size	512673
Page Count	6
File Format	PDF
ISBN	9781467314299
ISSN	21604886
e-ISBN	9781467314305
DOI	10.1109/WiMOB.2012.6379115
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-08
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Macrocell networks Base stations Resource Allocation Bandwidth Genetic Algorithm Femtocell Resource management Mathematical model Macrocell Equations Genetic algorithms
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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