Abstract
In this paper, a joint power and subcarrier optimization problem to minimize the network energy consumption with considerations of dynamic Coordinated Multipoint Transmission (CoMP) clustering, user quality of service (QoS) requirement and base station (BS) load is formulated for cell switch off in CoMP transmission scenario. Since the complexity of such optimization problem is prohibitive in practical application, following the manner of dynamic programming (DP), the original problem is decomposed to a sequence of sub-problems on cell switch off with dynamic CoMP clustering and system transmit power optimization. Then the Cluster Load Search, User Sum SINR and Cell Sum Load Based Clustering Schemes are proposed for cell switch off evaluation. The simulation results show that the proposed schemes achieve competitive network energy-efficient performance compared with benchmark optimization scheme while at the same time save up to 40% of the overall overhead.
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Acknowledgements
This work is partially supported by the Ministry of Education-China Mobile Research Foundation, China (No. MCM20170205), the Scientific Research Foundation of the Higher Education Institutions of Jiangsu Province, China (No. 17KJB510043), Six talent peaks project in Jiangsu Province (No. DZXX-008), and the Research Foundation for Advanced Talents of Nanjing University of Posts and Telecommunications (No. NY217146).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Ding, F., Lu, Y., Li, J., Su, R., Zhang, D., Zhu, H. (2019). Performance Analysis of Energy-Efficient Cell Switch off Scheme for CoMP Networks. In: Han, S., Ye, L., Meng, W. (eds) Artificial Intelligence for Communications and Networks. AICON 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 286. Springer, Cham. https://doi.org/10.1007/978-3-030-22968-9_50
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DOI: https://doi.org/10.1007/978-3-030-22968-9_50
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