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Improved Resource Allocation Algorithm Based on Partial Solution Estimation for SC-FDMA 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.ORCID iD: 0000-0002-0019-8411
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology.
2013 (English)In: Proceedings from the 78th IEEE Vehicular Technology Conference (VTC Fall), September 2-5, Las Vegas, USA, IEEE , 2013, 1-5 p.Conference paper, Published paper (Refereed)
Abstract [en]

Single carrier frequency division multiple access (SC-FDMA) has been adopted as the standard multiple access scheme for 3GPP LTE uplink. In comparison to orthogonal frequency division multiple access (OFDMA), the subcarriers assigned to each user are required to be consecutive in SC-FDMA localized scheme, which imposes more difficulties on resource allocation problem. Subject to this constraint, various optimization objectives, such as utility maximization and power minimization, have been studied for SC-FDMA resource allocation. In this paper, we focus on developing a general algorithm framework with near-optimal performance and polynomial-time complexity to maximize the total utility for SC-FDMA systems. The proposed algorithm is based on low-complexity estimation for the partial solution space. Compared with existing algorithms, simulation results show that our algorithm improves the system utility significantly and has less deviation to global optimum. In addition, the proposed algorithm framework allows a flexible trade-off between computational effort and solution performance by varying the complexity of estimation approaches.

Place, publisher, year, edition, pages
IEEE , 2013. 1-5 p.
Series
Vehicular Technology Conference, ISSN 1090-3038 ; 78
Keyword [en]
SC-FDMA; Algorithm; Resource Allocation; Binary Integer Programming; Partial Solution; Estimation
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-105049DOI: 10.1109/VTCFall.2013.6692229ISI: 000330585400207ISBN: 978-1-4673-6187-3 (Article) (print)ISBN: 978-1-4673-6185-9 (electronic)OAI: oai:DiVA.org:liu-105049DiVA: diva2:703358
Conference
78th IEEE Vehicular Technology Conference (VTC Fall), September 2-5, Las Vegas, USA
Available from: 2014-03-06 Created: 2014-03-06 Last updated: 2015-03-18Bibliographically 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, LeiFowler, ScottYuan, Di

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