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Performance analysis of chunk-based resource allocation in wireless OFDMA systems
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology.
2012 (English)In: Proceedings from the 17th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), September 17-19, 2012, Barcelona, Spain, IEEE , 2012, 90-94 p.Conference paper, Published paper (Refereed)
Abstract [en]

In typical resource allocation for Orthogonal Frequency Division Multiple Access (OFDMA), assigning subcarriers to the more favorable users provides beneficial diversity and increased system performance. It is however relevant to consider OFDMA resource allocation with a subcarrier adjacency restriction, grouping a number of adjacent subcarriers into a chunk, both for physical design simplicity and for complexity mitigation. In this paper, we classify different resource allocation policies for chunk-based allocation. We investigate how to optimally allocate resources by using discrete rates and discrete power levels. This is enabled by developing binary integer optimization models to obtain the optimal solution for this comparative study. We present numerical results to evaluate the performance of different resource allocation policies under different parameters and scenarios.

Place, publisher, year, edition, pages
IEEE , 2012. 90-94 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-105496DOI: 10.1109/CAMAD.2012.6335386ISBN: 978-1-4673-3123-4 (print)ISBN: 978-1-4673-3124-1 (print)OAI: oai:DiVA.org:liu-105496DiVA: diva2:707716
Conference
17th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), September 17-19, 2012, Barcelona, Spain
Available from: 2014-03-25 Created: 2014-03-25 Last updated: 2014-03-25Bibliographically approved
In thesis
1. Radio Resource Optimization for OFDM-based Broadband Cellular Systems
Open this publication in new window or tab >>Radio Resource Optimization for OFDM-based Broadband Cellular Systems
2014 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The rapid growth of users’ traffic demand in broadband wireless communication systems requires high-speed data transmission and intelligent resource allocation approaches. The Third Generation Partnership Project-Long Term Evolution (3GPPLTE) has standardized multiple access (MA) schemes for 4G cellular networks. Two advanced schemes, orthogonal frequency division multiple access (OFDMA) and single carrier frequency division multiple access (SC-FDMA), have been adopted for downlink and uplink, respectively.

Optimization-based approaches play a crucial role in network operation and resource management. The optimization problems considered in this thesis are addressed in four research papers. For the single cell scenario, the optimization problems of joint power and channel allocation in OFDMA and consecutive-channel assignment in SCFDMA are investigated in Papers I, II, and III. For the OFDM-based multi-cell scenario, an energy minimization problem is addressed in Paper IV.

In the thesis, theoretical analysis, algorithm development, and numerical studies are carried out. Mathematical optimization is applied as the main approach to facilitate the problem solving. In Paper I, we evaluate the performance gain and loss for various  allocation policies in the OFDMA system. In Papers II and III, resource allocation algorithms are proposed to obtain competitive and high-quality solutions for consecutive-channel allocation problems in the SC-FDMA system. The theoretical analysis and the proposed algorithm in Paper IV provide optimal solution for energy minimization.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2014. 20 p.
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1649
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-105500 (URN)978-91-7519-374-8 (ISBN)
Presentation
2014-04-10, K3, Kåkenhus, Campus Norrköping, Linköpings universitet, Norrköping, 10:15 (English)
Opponent
Supervisors
Available from: 2014-03-25 Created: 2014-03-25 Last updated: 2014-03-25Bibliographically approved

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Lei, LeiAngelakis, VangelisYuan, Di

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Citation style
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