
Short Bio:
Danping He received B.E. degree from Huazhong University of Science and Technology in 2008, M.Sc. degree from the Universite Catholique de Louvain (UCL) and Politecnico di Torino (PdT) in 2010, and Ph.D. degree from Universidad Politecnica de Madrid in 2014. In 2012, she was a visiting scholar in Institut national de recherche en informatique et en automatique, France. She worked in Huawei Technologies from 2014 to 2015 as a research engineer. From 2016 to 2018, she was postdoctoral researcher in the State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University. She is now working in Beijing Jiaotong University as an Associate Professor. She has authored/co-authored more than 40 papers and received 2019 Applied Computational Electromagnetics Society (ACES)-China Young Scientist Award. Her current research interests include radio propagation and channel modeling, ray-tracing technologies and wireless communication algorithm design.
Title: Ray-tracing based 5G Coverage Analysis Capacity Evaluation in an Indoor Hotspot Scenario
Abstract: As an important scenario in the vision of “smart buildings”, office buildings are a typical indoor hotspot environment and therefore, require seamless connectivity and massive data transfer with Gbps throughput. In China, the band of 3.3-3.4 GHz has been allocated for the indoor deployment of fifth-generation mobile communication system (5G). Compared to lower frequencies, the 3.3-3.4 GHz band suffers a larger propagation loss. Moreover, modern office buildings are composed of various scenarios such as open/closed offices, open spaces, corridors, and so on which have distinguished physical and geometrical features that complicate wave propagation. As a result, it is challenging to deploy a high-quality 5G network in such a complex indoor environment. In this paper, we conduct extensive ray-tracing (RT) simulations in a typical office building at the 3.3-3.4 GHz band. Based on the findings through analyzing the coverage in every separate scenario, a solution of optimal deployment of transmitters (TXs) is presented to meet the requirement of the synchronization signal reference signal received power (SS-RSRP). The channel capacity is evaluated through system-level simulations, implying that with the proposed solution in this paper, the peak throughput can reach 1.5 Gbps in certain areas while future efforts should be made to improve the throughput in the areas suffering strong interference caused by omni-directional Tx antennas. These results provide valuable insights into the system design and evaluation for 5G communication-empowered smart buildings.
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