Chirp Spreading Spectrum in Imperfect Environment and Wireless Tree Topology Network

Authors

  • Hongqiang Li Beijing Smart-Chip Microelectronics Technology Co., Ltd. Northern Territory Xixiaokou Rd, Haidian district, Beijing 100192, China
  • Dongyan Zhao Beijing Smart-Chip Microelectronics Technology Co., Ltd. Northern Territory Xixiaokou Rd, Haidian district, Beijing 100192, China
  • Xiaoke Tang Beijing Smart-Chip Microelectronics Technology Co., Ltd. Northern Territory Xixiaokou Rd, Haidian district, Beijing 100192, China
  • Jie Gan Beijing Smart-Chip Microelectronics Technology Co., Ltd. Northern Territory Xixiaokou Rd, Haidian district, Beijing 100192, China
  • Xu Zhao Beijing Smart-Chip Microelectronics Technology Co., Ltd. Northern Territory Xixiaokou Rd, Haidian district, Beijing 100192, China
  • Yubing Zhang Beijing Smart-Chip Microelectronics Technology Co., Ltd. Northern Territory Xixiaokou Rd, Haidian district, Beijing 100192, China

DOI:

https://doi.org/10.13052/jwe1540-9589.20110

Keywords:

LoRa, LPWAN, FSCM, chirp, IoT, DCoMP, Tree topology

Abstract

With the rapid development of IoT technology in recent years, higher requirements have been put forward for wireless communication technology. Low Power Wide Area Network (LPWAN) technology is emerging rapidly, the technology is characterized by low power consumption, low bandwidth, long-distance, and a large number of connections, and is specifically designed for Internet of Things applications. LoRa (Low Power Long Range Transceiver), as a typical representative of LPWAN technology, has been widely concerned and studied. This paper analyzes the performance of LoRa modulation in the tree topology network and analyzes the performance of LoRa modulation in the imperfect environment for point-to-point communication and multipoint-to-point communication. From theoretical analysis and performance simulation, it can be seen that the influence of frequency offset or multipath fading on LoRa signal is very obvious. However, when LoRa modulation is used for networking, multi-user interference will be introduced. Under the influence of many imperfect factors, the signal receiver performance of LoRa modulation will be difficult to guarantee. Because of these effects, Coordinated Multiple Points based on Timing Delay (DCoMP) is presented. Multiple nodes close to each other send the same data to the target node. Due to the inaccurate synchronization between nodes, there will be a certain relative delay when sending signals to the same target node. After the receiving node combines the signals of multiple nodes according to different relative delays, the reception performance of the signals can be improved. At the same time, the cooperative node can also actively adjust the signal sending time to improve the reception performance of the receiving node signal merging algorithm. LoRa modulation, by using DCoMP transmission, improves the reception of signals and thus the overall capacity of the system. Through the analysis of multipoint communication and single point communication, this paper is of great help to LoRa network deployment.

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Author Biographies

Hongqiang Li, Beijing Smart-Chip Microelectronics Technology Co., Ltd. Northern Territory Xixiaokou Rd, Haidian district, Beijing 100192, China

Hongqiang Li received his B.Sc. and M.Sc. degrees in Applied Mathematics from Xi’an Jiao Tong University. He has engaged in mobile communication research at Datang Mobile Corporation since 2006. He, as a senior physical layer algorithm engineer at Spreadtrum corporation since 2011, has acquired a solid experience in communication chip design. Hongqiang is currently focusing on Internet of Things technology research at Beijing Smart-Chip Microelectronics Technology Co., Ltd.

Dongyan Zhao, Beijing Smart-Chip Microelectronics Technology Co., Ltd. Northern Territory Xixiaokou Rd, Haidian district, Beijing 100192, China

Dongyan Zhao received her master’s degree in engineering from Shanghai Jiao Tong University in 1998. Now she is a senior engineer at the research level and her main research direction is integrated circuit design and application. She currently serves as executive director of Beijing Smart-Chip Microelectronics Technology Co., Ltd.. She is a national candidate of “Millions of Talents Project”, an expert enjoying special government allowance of the State Council, and a doctoral supervisor of Shanghai Jiao Tong University. She has granted 54 patents and published 77 papers and 6 books.

Xiaoke Tang, Beijing Smart-Chip Microelectronics Technology Co., Ltd. Northern Territory Xixiaokou Rd, Haidian district, Beijing 100192, China

Xiaoke Tang received the B.S. degree from the Northern Jiao tong University, China, in 2000. He engaged in smart grid internet of things chip and domestic CPU research and development. His research interests include domestic CPU, carrier communication, low-power design, security algorithm. He has published 20 technical papers and over 20 patents in the area of analog integrated circuits.

Jie Gan, Beijing Smart-Chip Microelectronics Technology Co., Ltd. Northern Territory Xixiaokou Rd, Haidian district, Beijing 100192, China

Jie Gan received her master’s degree in testing and measuring technology and instruments from Beijing Institute of Technology. She is a general manager assistant of Chip Design Center at Beijing Smart-Chip Microelectronics Technology Co., Ltd., and a backbone member of “smart grid key chip security technology research team” of State Grid Corporation of China, and an excellent expert reserve of State Grid Information & Telecommunication Co., Ltd, and a member of Chinese Association for Cryptologic Research.

Xu Zhao, Beijing Smart-Chip Microelectronics Technology Co., Ltd. Northern Territory Xixiaokou Rd, Haidian district, Beijing 100192, China

Xu Zhao received the B.Eng. degree from the Huazhong University of Science and Technology, Wuhan, China, in 1998 and the M.Sc. degree from Queen Mary, University of London, London, U.K., in 2005, and the Ph.D. degree from University of Edinburgh, Edinburgh, U.K. in 2010. He is currently working with Beijing Smart-Chip Microelectronics Technology Co., Ltd.. His research interests include power line communications, wireless communications and signal processing.

Yubing Zhang, Beijing Smart-Chip Microelectronics Technology Co., Ltd. Northern Territory Xixiaokou Rd, Haidian district, Beijing 100192, China

Yubing Zhang graduated from the Department of Radio Engineering of Southeast University, received his Ph.D. degree from the School of Information Engineering of Beijing Institute of Technology in 2005. In 2016, he became a senior engineer, whose research interests include wireless communication, Internet of Things, communication chip design, etc., and he has been working in Beijing Smart-Chip Microelectronics Technology Co., Ltd. since 2018.

References

H. Wang; A. O. Fapojuwo, ‘A Survey of Enabling Technologies of Low Power and Long Range Machine-to-Machine Communications’, IEEE Communications Surveys & Tutorials, vol. pre-publishing, no. 99, pp. 1–1, doi: 10.1109/COMST.2017.2721379

M. Centenaro, L. Vangelista; A. Zanella and M. ‘Zorzi Long-range communications in unlicensed bands: the rising stars in the IoT and smart city scenarios’, IEEE Wireless Communications, vol. 23, no. 5, pp. 60–67, 2016.

J. P. Bardyn, T. Melly, O. Seller and N. Sornin, ‘IoT: The era of LPWAN is starting now’, ESSCIRC Conference 2016: 42nd European Solid-State Circuits Conference, Lausanne, pp. 25–30, 2016.

LoRa Alliance, Inc. LoRaWANTM Specification V1.0, January 2015.

F. Sforza, Communication system, Patent US 8406275 B2, Publication date Mar. 26, 2013.

C. Goursaud, J.-M. Gorce, Dedicated networks for IoT: PHY/MAC state of the art and challenges, EAI Endorsed Transactions on Internet of Things, 2015.

B. Reynders, W. Meert and S. Pollin, ‘Range and coexistence analysis of long range unlicensed communication’, 23rd International Conference on Telecommunications (ICT), Thessaloniki, pp. 1–6, 2016.

B. Reynders and S. Pollin, ‘Chirp spread spectrum as a modulation technique for long range communication’, Symposium on Communications and Vehicular Technologies (SCVT), Mons, Belgium, pp. 1–5, 2016.

L. Vangelista, Senior Member, IEEE, Frequency Shift Chirp Modulation: the LoRaTM Modulation, IEEE Signal Processing Letters, 2017.

X. Tang, H.Q. Li, Yubing Zhang, Xu Zhao, ‘Performance Analysis of LoRa Modulation with Residual Frequency Offset’, IEEE 4th International Conference on Computer and Communications (ICCC), Chengdu, pp. 835–839, 2018.

C.H. Liao, G.B. Zhu, D. Kuwabara, M. Suzuki, ‘Multi-Hop LoRa Networks Enabled by Concurrent Transmission’, IEEE Access, 2017.

G.B. Zhu, C.H. Liao, M. Suzuki, Y. Narusue and H. Morikawa, ‘Evaluation of LoRa Receiver Performance under Co-technology Interference’, 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC), 2018.

H.Q. Li, Y.B. Zhang, X. Zhao, X.K. Tang, ‘Delay CoMP of LoRa Modulation in Wireless Tree Topology Network’, IEEE 19th International Conference on Communication Technology, pp. 1007–1014, 2019.

M. R. Winkler Chirp signals for communicstions WESCON Convention Record Paper 14.2, 1962.

C. E. Cook Linear FM signal formats for beacon and communication systems, IEEE Trans on Aerospace and Ele. Sys., vol. 10, pp. 471–478. July 1974.

John G. Proakis, Masoud Salehi, Digital Communications (Fifth Edition), Publishing House of Electronics Industry, 2017.

Published

2021-03-03

Issue

Section

Advanced Practice in Web Engineering