NDLI: Resource allocation model based on Particle Swarm Optimization for OFDMA macro-femtocell networks

Content Provider	IEEE Xplore Digital Library
Author	Estrada, R. Otrok, H. Zbigniew Dziong
Copyright Year	2013
Description	Author affiliation: Electr. Eng. Dept., Univ. du Quebec, Montréal, QC, Canada (Estrada, R.; Zbigniew Dziong) \|\| Dept. of ECE, Khalifa Univ. of Sci., Technol. & Res., Abu Dhabi, United Arab Emirates (Otrok, H.)
Abstract	In this paper, we address the problem of resource allocation under high user density environment in OFDMA macro-femotcell networks. In the literature, several solutions have been proposed based on spectrum partitioning or sharing. However, they failed to enhance the overall system throughput due to: (1) resources underutilization because of the unchanged macrocell power distribution over the dedicated allocated bandwidth, (2) lack of appropriate access mechanisms that allow femtocells to grant access to nearby public users without depriving their own subscribers, and (3) lack of adaptive power control that finds a trade-off between overall system performance if femtocell can grant access to nearby public users. Therefore, we propose a heuristic spectrum partitioning approach that avoids the interference by means of orthogonal subcarrier assignment among the two tiers and neighbor femtocells and allows spectrum reuse in femtocells if they are far from each other. Moreover, power adaptation is incorporated to enhance mobile users satisfaction over the active subcarriers in each base station. The proposed solution, based on Particle Swarm Optimization, maximizes entire network throughput and is able to determine: the best serving base station, power and bandwidth for each mobile user taking into account its location, demand and FC proximity. Simulations are conducted to show the performance of the proposed solution that is also compared with a linear programming approach and a modified Weighted Water Filling.
Sponsorship	IEEE Commun. Soc.
Starting Page	1
Ending Page	6
File Size	344970
Page Count	6
File Format	PDF
ISBN	9781479914777
ISSN	21531676
DOI	10.1109/ANTS.2013.6802850
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-15
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Macrocell networks Bandwidth Macro-Femtocell Networks Orthogonal Frequency Division Multiple Access (OFDMA) Throughput Vectors Weighted Water Filling Femtocells Resource management Particle Swarm Optimization Signal to noise ratio
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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