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Game Theory for Co-Tiered Interference Mitigation in 5G Small-Cell Networks

Game Theory for Co-Tiered Interference Mitigation in 5G Small-Cell Networks

Ducheng Wu, Qihui Wu, Yuhua Xu
Copyright: © 2021 |Pages: 27
ISBN13: 9781799877080|ISBN10: 1799877086|EISBN13: 9781799877547
DOI: 10.4018/978-1-7998-7708-0.ch017
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MLA

Wu, Ducheng, et al. "Game Theory for Co-Tiered Interference Mitigation in 5G Small-Cell Networks." Research Anthology on Developing and Optimizing 5G Networks and the Impact on Society, edited by Information Resources Management Association, IGI Global, 2021, pp. 410-436. https://doi.org/10.4018/978-1-7998-7708-0.ch017

APA

Wu, D., Wu, Q., & Xu, Y. (2021). Game Theory for Co-Tiered Interference Mitigation in 5G Small-Cell Networks. In I. Management Association (Ed.), Research Anthology on Developing and Optimizing 5G Networks and the Impact on Society (pp. 410-436). IGI Global. https://doi.org/10.4018/978-1-7998-7708-0.ch017

Chicago

Wu, Ducheng, Qihui Wu, and Yuhua Xu. "Game Theory for Co-Tiered Interference Mitigation in 5G Small-Cell Networks." In Research Anthology on Developing and Optimizing 5G Networks and the Impact on Society, edited by Information Resources Management Association, 410-436. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-7708-0.ch017

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Abstract

Small-cell technologies are seen as one of the most promising solutions for the rapid growth of wireless data services and 5G requirements. However, because most SBSs are deployed with minimum intervention from the end users and the service providers, it is hard to mitigate co-tiered interference. It is significant to study the self-organized distributed co-tiered interference mitigation and resource allocation. Game theory is an effective distributed approach towards handling the distributed co-tiered interference mitigation problem without a central controller. This chapter is to address the application of game theory and distributed learning solutions for distributed co-tiered interference mitigation. Two potential game models for static and dynamic co-tiered interference mitigation are presented and discussed for small-cell networks with fixed loads and dynamic loads separately. In addition, two distributed learning algorithms are presented and results are discussed. Finally, some future research directions are given.

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