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Optimal Energy Minimization inLoad-Coupled Wireless Networks: Computation and Properties
ASTAR, Singapore .
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.
ASTAR, Singapore .
2014 (English)Conference paper, Published paper (Other academic)
Abstract [en]

We consider the problem of sum transmission energy minimization in a cellular network where base stations interfere with one another. Each base station has to serve a target amount of data to its set of users, by varying its power and load, where the latter refers to the average level of channel resource usage in the cell. We employ the signal-tointerference-and-noise-ratio (SINR) load-coupled model that takes into account the load of each cell. We show analytically that operating at full load is optimal to minimize sum energy. Moreover, we provide an iterative power adjustment algorithm for all base stations to achieve full load. Numerical results are obtained that corroborate the analysis and illustrate the advantage of our solution compared to the conventional solution where uniform power is used for all base stations.

Place, publisher, year, edition, pages
2014. Vol. 12, no 11
Keyword [en]
Energy minimization, load balancing, load coupling, Perron-Frobenius theorem.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-105497OAI: oai:DiVA.org:liu-105497DiVA: diva2:707729
Conference
The 2014 IEEE International Conference on Communications (ICC), June 10-14, Sydney, Australia
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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