Basholli, A. and Lagkas, T. orcid.org/0000-0002-0749-9794 (2014) Resource Request Mapping Techniques for OFDMA Networks. In: Modeling and Optimization in Science and Technologies. Modeling and Optimization in Science and Technologies, 3 (3). Springer International Publishing , pp. 145-163. ISBN 978-3-319-06703-2
Abstract
Wireless broadband networks are designed to provide high quality services to multiple mobile users simultaneously. The IEEE 802.16e Mobile WiMAX standard uses Orthogonally Frequency Division Multiple Access (OFDMA) schema for frame structure. OFDMA defines rectangular resource allocation of time slots and frequency carriers, separating in this way the channel into multiple subcarriers. This structure is used for arranging the incoming user requests. Aimed to increase the bandwidth utilization, while arranging the incoming user requests into an effective way, we have considered and evaluated Bin-Packing algorithms. Subsequently in the following sections are presented analysis and design of various Bin packing algorithms developed in our simulator. Moreover, a combined algorithm is proposed, named Guillotine First Fit Algorithm and a new version of the Shelf First Fit Algorithm. Simulation's results concerning performance of implemented algorithms in different input values are gathered, analyzed and compared. The results are encouraging and provide indications regarding usage of the proposed algorithms in practice.
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014 Springer International Publishing Switzerland. This is an author produced version of a paper subsequently published in Modeling and Optimization in Science and Technologies. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > International Faculty (Sheffield) > City College - Computer Science |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 25 May 2017 13:53 |
Last Modified: | 20 Jul 2017 20:40 |
Published Version: | http://doi.org/10.1007/978-3-319-06704-9-7 |
Status: | Published |
Publisher: | Springer International Publishing |
Series Name: | Modeling and Optimization in Science and Technologies |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-06704-9-7 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:116428 |