Abstract
Inappropriate parameters and antenna problems will result in abnormal coverage performance of LTE networks. In order to deal with the problems mentioned above and improve the coverage performance, this paper proposes a downlink coverage Self-optimizing algorithm (DCSA) on the strength of big data analytics. The proposed algorithm obtains and analyzes the data, which records the performance situation of existing wireless networks to locate the cells with abnormal coverage performance. Then a Self-optimizing method is proposed to improve the coverage by adjusting the parameters. In the last part, the analysis results will display that the coverage optimization algorithm is high-efficiency and low-cost for telecom operators.
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Gao, J., Cheng, X., Xu, L., Cao, L., Cheng, C. (2018). A Downlink Coverage Self-optimizing Algorithm for LTE Cellular Networks Based on Big Data Analytics. In: Sun, S., Chen, N., Tian, T. (eds) Signal and Information Processing, Networking and Computers. ICSINC 2017. Lecture Notes in Electrical Engineering, vol 473. Springer, Singapore. https://doi.org/10.1007/978-981-10-7521-6_45
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DOI: https://doi.org/10.1007/978-981-10-7521-6_45
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