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Energy-Efficient Resource Allocation in Wireless Networks
Open accessAbstract
This paper shows that game theory can be used as a unifying framework to study radio resource management in a variety of wireless networks. with different service criteria. It focuses on infrastructure networks where users transmit to a common concentration point such as a base station in a cellular network or an access point. Since most of the terminals in a wireless network are battery-powered, energy efficiency is crucial to prolonging the life of the terminals. Also, in most practical scenarios, distributed algorithms are preferred over centralized ones. Throughout this article it focuses on distributed algorithms with emphasis on energy efficiency. A family of power control games is presented for energy-efficient resource allocation in wireless code-division multiple-access (CDMA) networks and give discussions and conclusions
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Cited by
Andrews, J. G., Buzzi, S., Choi, W., Hanly, S. V., Lozano, A., Soong, A. C. K., & Zhang, J. C. (2014) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2014.2328098 · Cited by 8,106
Energy Efficiency in Wireless Networks via Fractional Programming Theory
Zappone, A., & Jorswieck, E. (2015) · Foundations and Trends in Communications and Information Theory · doi:10.1561/0100000088 · Cited by 513
Game Theory for Multi-Access Edge Computing: Survey, Use Cases, and Future Trends
Moura, J., & Hutchison, D. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2863030 · Cited by 193
Metadata
- Authors
- Meshkati, F., Poor, H. V., & Schwartz, S. C.
- Venue
- IEEE Signal Processing Magazine
- Published
- 2007-05
- Volume
- 24
- Issue
- 3
- Pages
- 58-68
- ISSN
- 1053-5888 (ISSN-L)
- OpenAlex
- W2135794028
- Cited by
- 296
- References
- 0
- FWCI
- 35.41
- Type
- journal article
- Language
- en
- Open access
- green
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- Meshkati, F., Poor, H. V., & Schwartz, S. C. (2007). Energy-Efficient Resource Allocation in Wireless Networks. IEEE Signal Processing Magazine. https://doi.org/10.1109/msp.2007.361602
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
