Abstract
Dynamic time-division duplex (TDD) is considered a promising solution to handle the unbalanced bursty and quick varied traffic in 5G ultra dense networks. However, dynamic TDD also bring out additional cross-link interference that may degrade the system performance. Since the network scenario of 5G becomes denser compared to LTE, the distance between user equipment (UEs) is smaller, UE-UE cross-link interference becomes more important and should be mitigated together with BS-BS cross-link interference. In this paper, we use cell clustering to deal with the cross-link interference. We find a better threshold for clustering and proposed a novel cell clustering algorithm based on graph theory. Simulation results show that the novel algorithm offers significant gain in UE SINR and UE rate compared with dynamic TDD without clustering and dynamic TDD with traditional clustering.
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References
Recommendation ITU-R M.2083: IMT Vision - Framework and overall objectives of the future development of IMT for 2020 and beyond, September 2015
3GPP TR 38.913 V1.0.0: Study on Scenarios and Requirements for Next Generation Access Technologies, October 2016
R1-1609421: General discussion on flexible duplex, Huawei, HiSilicon, Lisbon, Portugal, 10–14 October 2016
Celik, H., Sung, K.W.: On the feasibility of blind dynamic TDD in ultra-dense wireless networks. In: Vehicular Technology Conference, pp. 1–5. IEEE (2015)
Gupta, A.K., Kulkarni, M.N., Visotsky, E., et al.: Rate analysis and feasibility of dynamic TDD in 5G cellular systems. In: IEEE International Conference on Communications, pp. 1–6. IEEE (2016)
Gao, Y., Cheng, L., Li, Y., et al.: Performance evaluation on cell clustering interference mitigation and CoMP in multi-pico network with dynamic TDD. In: Vehicular Technology Conference, pp. 1–5. IEEE (2015)
Celik, H., Sung, K.W.: Joint transmission with dummy symbols for dynamic TDD in ultra-dense deployments (2017)
Chen, Q., Zhao, H., Li, L., et al.: A closed-loop UL power control scheme for interference mitigation in dynamic TD-LTE systems, pp. 1–5 (2015)
Sun, F., Zhao, Y., Sun, H.: Centralized cell cluster interference mitigation for dynamic TDD DL/UL configuration with traffic adaptation for HTN networks. In: IEEE, Vehicular Technology Conference, pp. 1–5. IEEE (2015)
Baracca, P.: Traffic profile based clustering for dynamic TDD in dense mobile networks. In: IEEE, Vehicular Technology Conference, pp. 1–5. IEEE (2016)
R1-1611230: Evaluation of flexible duplex in indoor hotspot scenario, Huawei, HiSilicon, 14–18 November 2016
R1-1611230: Evaluation of duplexing flexibility in indoor hotspot scenario, Huawei, HiSilicon, 13–17 January 2017
Nasreddine, J., Hassan, S.E.H.: Interference mitigation and traffic adaptation using cell clustering for LTE-TDD systems. In: IEEE International Multidisciplinary Conference on Engineering Technology, pp. 155–159. IEEE (2016)
Yu, B., Yang, L., Ishii, H., et al.: Dynamic TDD support in macrocell-assisted small cell architecture. IEEE J. Sel. Areas Commun. 33(6), 1201–1213 (2015)
3GPP TR 38.912 V1.0.0: Study on New Radio (NR) Access Technology, March 2017
Sun, F., Zhao, Y.: Cell cluster-based dynamic TDD DL/UL reconfiguration in TD-LTE systems. In: Wireless Communications and Networking Conference. IEEE (2016)
Acknowledgment
This work was funded by 2017 Beijing University of Posts and Telecommunications youth research and innovation project 2016RCGD04. The authors would like to thank our lab for providing the network optimization software, from which the map information was obtained.
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Guo, M., Chuai, G., Gao, W., Zhang, Y. (2019). Dynamic TDD Interference Mitigation Using Graph Theory Based Cell Clustering in 5G Ultra-Dense Network. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_85
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DOI: https://doi.org/10.1007/978-981-10-6571-2_85
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