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Interference Coordination Using Cell Cluster for 5G Dynamic TDD System

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Abstract

The deployment of small cells of dynamic time division duplexing (TDD) using orthogonal frequency division multiple access (OFDMA) is one of the key technologies of 5th-generation (5G). The main problem limiting the performance of dynamic TDD is the existence of cross-link interference in these mobile networks. In order to adapt to the new scenario of 5G, on the basis of the traditional clustering scheme, this paper proposes a new clustering criterion considering both the user equipment to user equipment (UE-UE) interference and base station to base station (BS-BS) interference, and realizes dynamic clustering of the cells. The proposed method can simultaneously solve the uplink and downlink interference problems, and improve the system performance. Compared with the traditional clustering algorithm, the scheme proposed in this paper has certain improvement in the throughput of the system, especially in the downlink.

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Acknowledgment

This work is partially supported by the National Key Research and Development Project under Grants 2019YFE0123600 and 2020YFB1806800, the National Natural Science Foundation of China under Grants 62071115, and the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 872172 (TESTBED2 project: www.testbed2.org).

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Correspondence to Nan Liu .

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Liu, J., Liu, Z., Liu, N., Pan, Z., You, X. (2021). Interference Coordination Using Cell Cluster for 5G Dynamic TDD System. In: Gao, H., Fan, P., Wun, J., Xiaoping, X., Yu, J., Wang, Y. (eds) Communications and Networking. ChinaCom 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 352. Springer, Cham. https://doi.org/10.1007/978-3-030-67720-6_17

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  • DOI: https://doi.org/10.1007/978-3-030-67720-6_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-67719-0

  • Online ISBN: 978-3-030-67720-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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