The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Matching theory for future wireless networks: fundamentals and applications
Open accessAbstract
The emergence of novel wireless networking paradigms such as small cell and cognitive radio networks has forever transformed the way in which wireless systems are operated. In particular, the need for self-organizing solutions to manage the scarce spectral resources has become a prevalent theme in many emerging wireless systems. In this article, the first comprehensive tutorial on the use of matching theory, a Nobel Prize winning framework, for resource management in wireless networks is developed. To cater for the unique features of emerging wireless networks, a novel, wireless-oriented classification of matching theory is proposed. Then the key solution concepts and algorithmic implementations of this framework are exposed. The developed concepts are applied in three important wireless networking areas in order to demonstrate the usefulness of this analytical tool. Results show how matching theory can effectively improve the performance of resource allocation in all three applications discussed.
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Cites
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Self-citationStable matchings for resource allocation in wireless networks
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Luo, Q., Hu, S., Li, C., Li, G., & Shi, W. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3106401 · Cited by 588
Toward Massive Machine Type Cellular Communications
Dawy, Z., Saad, W., Ghosh, A., Andrews, J. G., & Yaacoub, E. (2017) · IEEE Wireless Communications · doi:10.1109/mwc.2016.1500284wc · Cited by 452
Self-citationDynamic Task Offloading and Resource Allocation for Ultra-Reliable Low-Latency Edge Computing
Liu, C.-F., Bennis, M., Debbah, M., & Poor, H. V. (2019) · IEEE Transactions on Communications · doi:10.1109/tcomm.2019.2898573 · Cited by 435
Self-citationPeng, M., Sun, Y., Li, X., Mao, Z., & Wang, C. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2548658 · Cited by 386
A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems
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Self-citation
Metadata
- Authors
- Gu, Y., Saad, W., Bennis, M., Debbah, M., & Han, Z.
- Venue
- IEEE Communications Magazine
- Published
- 2015-05
- Volume
- 53
- Issue
- 5
- Pages
- 52-59
- ISSN
- 0163-6804 (ISSN-L)
- OpenAlex
- W2099388379
- Cited by
- 561
- References
- 11
- FWCI
- 30.79
- Type
- journal article
- Language
- en
- Open access
- green
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