Measurement-Based Spatial-Consistent Channel Modeling Involving Clusters of Scatterers

doi:10.3969/j.issn.1673-5188.2017.01.005

ZTE Communications ›› 2017, Vol. 15 ›› Issue (1): 28-34.DOI: 10.3969/j.issn.1673-5188.2017.01.005

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Measurement-Based Spatial-Consistent Channel Modeling Involving Clusters of Scatterers

YIN Xuefeng¹, ZHANG Nan², Stephen Wang³, CHENG Xiang⁴

1.Tongji University, Shanghai 201804, China
2.ZTE Corporation, Shanghai 201203, China
3.Ocado Technology, AL10 9NE, The United Kingdom
4.Peking University, Beijing 100871, China

Received:2016-11-27 Online:2017-02-25 Published:2019-12-24
About author:YIN Xuefeng (yinxuefeng@tongji.edu.cn) received his Bachelor’s degree in optoelectronics engineering from Huazhong University of Science and Technology, China, in 1995, and his M.Sc. degree in digital communications and Ph.D. in wireless communications from Aalborg University, Denmark, in 2002 and 2006, respectively. From 2006 to 2008, he worked as an assistant professor in Aalborg University. In 2008, he joined Tongji University as an associate professor in the College of Electronics and Information Engineering, China. Since 2017, he was promoted to a full professor and served as the vice dean for the college. His research interests include high-resolution parameter estimation for propagation channels, channel characterization and stochastic modeling for 5G wireless communications, radar signal processing and target recognition. He has published about 100 technical papers and co-authored the book “Propagation Channel Characterization, Parameter Estimation and Modeling for Wireless Communications” published by John Wiley and Sons Edition in 2016.|ZHANG Nan (zhang.nan152@zte.com.cn) received the Bachelor’s degree in communication engineering and the Master’s degree in integrated circuit engineering from Tongji University, China in July 2012 and March 2015, respectively. He is now a senior engineer at the Department of Algorithms, ZTE Corporation. His current research interests are in the field of 5G channel modeling and new air-interface.|Stephen Wang (stephen.wang@ocado.com) received an M.Sc. (distinction) in advanced photonics and communications from the University of Warwick, UK in 2005. He served as a wireless engineer in China Telecom and Nokia, respectively before obtained his Ph.D. in cognitive radio and radar systems from University of Bristol, UK in 2009. He then joined Shanghai Research Center for Wireless Communications as a senior researcher engineer and team leader in a collaborative research project with Nokia/NSN, coordinate related R&D activities in 3GPP LTE-HeNB standardization activities. From 2010-2016, he was with Toshiba Research Europe Limited, Telecommunications Research Laboratory, as a senior research engineer leading several research projects in mobile body area networks and 5G massive MIMO. From 2017, as an IT team leader in Ocado Technology, he has been leading wireless IoT technology and business for Ocado’s IoT-enabled fulfillment centre and logistics. He is an inventor/co-inventor of 10+ patents. His research interests include industrial IoT, water resource/meter management and optimization, cognitive radio, energy-efficient resource optimization, channel propagation and modeling, and wearable healthcare applications. He is a regular reviewer of IEEE journals, guest editor and session chairs of flagship conferences, general co-chair of Wireless Internet: 8th International Conference (WICON 2014). He is a senior member of IEEE and a UK chartered engineer.|CHENG Xiang (xiangcheng@pku.edu.cn) received the Ph.D. degree from Heriot-Watt University and the University of Edinburgh, UK in 2009, where he received the Postgraduate Research Thesis Prize. He has been with Peking University, China since 2010, first as a lecturer, and then as an associate professor since 2012. His current research interests include mobile propagation channel modeling and simulation, next generation mobile cellular systems, intelligent transportation systems, and hardware prototype development. He has published more than 100 research papers in journals and conference proceedings. He received several best paper awards from international conferences, including the IEEE International Conference on ITS Telecommunications (ITST 2012), the IEEE International Conference on Communications in China (ICCC 2013), and the 17th International IEEE Conference on Intelligent Transportation Systems (ITSC 2014). Dr. Cheng received the “2009 Chinese National Award for Outstanding Overseas PhD Student” for his academic excellence and outstanding performance. He has served as Symposium Leading-Chair, Co-Chair, and a member of the Technical Program Committee for several international conferences.
Supported by:
This work is jointly supported by the key project “5G Ka frequency bands and higher and lower frequency band cooperative trail system research and development” of China Ministry of Industry and Information Technology under Grant number(2016ZX03001015);by the HongKong, Macao and Taiwan Science & Technology Cooperation Program of China under Grant(No. 2014DFT10290)

Abstract

Abstract:

In this paper, the conventional method of establishing spatial channel models (SCMs) based on measurements is extended by including clusters- of- scatterers (CoSs) that exist along propagation paths. The channel models resulted utilizing this new method are applicable for generating channel realizations of reasonable spatial consistency, which is required for designing techniques and systems of the fifth generation wireless communications. The scatterers’ locations are estimated from channel measurement data obtained using large- scale antenna arrays through the Space- Alternating Generalized Expectation- Maximization (SAGE) algorithm derived under a spherical wavefront assumption. The stochastic properties of CoSs extracted from real measurement data in an indoor environment are presented.

Key words: channel modeling, large-scale antenna array, spatial consistency, space-alternating generalized expectation-maximization (SAGE) algorithm, spherical wavefront

YIN Xuefeng, ZHANG Nan, Stephen Wang, CHENG Xiang. Measurement-Based Spatial-Consistent Channel Modeling Involving Clusters of Scatterers[J]. ZTE Communications, 2017, 15(1): 28-34.

Figures/Tables 7

Figure 1. Diagram of a wave impinging to the Rx array with a spherical wavefront when the distance d Rx,l < d Rayleigh. A similar diagram can be made for the Tx array side.

Figure 2. Multiple scatterers located along an edge in a small region.

Figure 3. A smooth surface introducing specular reflection for the impinging wave.

Figure 4. The indoor environment where the measurements were conducted.

Figure 5. The results of CoSs obtained from estimation results.

Figure 6. Empirical occurrence frequency of the distances of the centers of the CoSs to the center of the Rx antenna array.

Figure 7. Empirical occurrence frequency of the deviation d? of scatterers from CoS centroid in two scenarios. Laplacian PDFs are fitted with the empirical data.

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Measurement-Based Spatial-Consistent Channel Modeling Involving Clusters of Scatterers

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