Research Article
UMa Large-Scale O2I Modeling and Base Station Number Optimization
@INPROCEEDINGS{10.1007/978-3-030-14657-3_40, author={Yutong Wang and Daosen Zhai and Ruonan Zhang and Yi Jiang and Qi Guo}, title={UMa Large-Scale O2I Modeling and Base Station Number Optimization}, proceedings={IoT as a Service. 4th EAI International Conference, IoTaaS 2018, Xi’an, China, November 17--18, 2018, Proceedings}, proceedings_a={IOTAAS}, year={2019}, month={3}, keywords={outdoor-to-indoor (O2I) urban macro (UMa) Green communication}, doi={10.1007/978-3-030-14657-3_40} }- Yutong Wang
Daosen Zhai
Ruonan Zhang
Yi Jiang
Qi Guo
Year: 2019
UMa Large-Scale O2I Modeling and Base Station Number Optimization
IOTAAS
Springer
DOI: 10.1007/978-3-030-14657-3_40
Abstract
The Large-scale fading model of wireless channels plays an important role in the design and analysis of green communication systems and networks. In this paper, we conduct the propagation measurement in the urban macrocell (UMa) outdoor-to-indoor (O2I) scenario at 39 GHz. Based on the field measurement data, we modify the path loss model specified by the 3GPP TR38.901 standard. Furthermore, using the proposed channel model, we analyze the optimal number of base stations (BSs) in a given area to minimize the total power consumption of all the BSs, including both the statistic power and transmitting power. The proposed channel model and optimization solution can be utilized to design green communication systems especially for the millimeter wave wireless networks.