Utility-based resource allocation with bipartite matching in OFDMA-based wireless systems
Article
Article Title | Utility-based resource allocation with bipartite matching in OFDMA-based wireless systems |
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ERA Journal ID | 201668 |
Article Category | Article |
Authors | Zheng, Kan (Author), Li, Wei (Author), Liu, Fei (Author) and Xiang, Wei (Author) |
Journal Title | Transactions on Internet and Information Systems |
Journal Citation | 6 (8), pp. 1913-1925 |
Number of Pages | 13 |
Year | 2012 |
Place of Publication | Korea |
ISSN | 1976-7277 |
Digital Object Identifier (DOI) | https://doi.org/10.3837/tiis.2012.08.002 |
Web Address (URL) | https://www.itiis.org/digital-library/manuscript/380 |
Abstract | In order to efficiently utilize limited radio resources, resource allocation schemes in OFDMA-based wireless networks have gained intensive attention recently. Instead of improving the throughput performance, the utility is adopted as the metric for resource allocation, which provides reasonable methods to build up the relationship between user experience and various quality-of-service (QoS) metrics. After formulating the optimization problem by using a weighted bipartite graph, a modified bipartite matching method is proposed to find a suboptimal solution for the resource allocation problem in OFDMA-based wireless systems with feasible computational complexity. Finally, simulation results are presented to validate the effectiveness of the proposed method. |
Keywords | bipartite matching; OFDMA; utility |
ANZSRC Field of Research 2020 | 400607. Signal processing |
400904. Electronic device and system performance evaluation, testing and simulation | |
400608. Wireless communication systems and technologies (incl. microwave and millimetrewave) | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Beijing University of Posts and Telecommunications, China |
Department of Electrical, Electronic and Computer Engineering | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q17zw/utility-based-resource-allocation-with-bipartite-matching-in-ofdma-based-wireless-systems
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