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and those who belong to IMS. In particular, the oral presentations were made by experts of Teledyne LeCroy, Tektronix,
Rhode & Schwarz, DELO Instruments, and ST Microelectronics, and ranged from IoT testing to measurements related to
WSN and in modern wireless and 5G systems.
In the same way, in 2018, TC-37 invited a researcher of
industry (Dr. Michael Fogelle, Director of Technology Department of ETS-Lindgren, Inc.) to open the special session titled
"Measurements for Modern Networks and Telecommunication Systems," at the IEEE International Instrumentation
and Measurement Technology Conference 2018 (I2MTC 2018)
by presenting the position paper "RF Measurements in a 5G
World." The special session was attended by several researchers really interested in the presented topic, and this could
become a good practice for the future to encourage and increase more links between industry and academia. That is
particularly true in the topic of measurements and networking, where cross-skills are really needed to properly address
issues and challenges that will arise from modern systems.

Development of Initiatives and TC
Operating Plan
TC-37 will continue to promote the integration of researchers
who belong to the IMS with ones coming from other areas of
communication and information technologies. In particular,
efforts will be made to highlight the important contributions
within the IMS in different areas of networking, and also those
in emerging fields as IoT, software defined radio, software
defined networks, coexistence and interference problems in
wireless networks, 5G, to cite a few. To this aim, TC-37 will
continue to recruit new members for increasing international
cooperation and to promote the role of IMS inside these research areas.

data in multi-sensor systems," IEEE Sensors J., vol. 19, no. 19, pp.
8895-8903, Oct. 2019.
[8]	 A. Galli, G. Giorgi, and C. Narduzzi, "Multi-user ECG monitoring
system based on IEEE Standard 802.15.6," in Proc. 2019 IEEE Int.
Symp. Meas. Networking (M&N), Jul. 2019.
[9]	 G. Giorgi, "A combined approach for real-time data compression
in wireless body sensor networks," IEEE Sensors J., vol. 17, no. 18,
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[10]	G. Giorgi and C. Narduzzi, "Precision packet-based frequency
transfer based on oversampling," IEEE Trans. Instrum. Meas., vol.
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[11]	J. Suárez-Varela, A. Mestres, J. Yu et al,. "Routing in optical
transport networks with deep reinforcement learning," J. Optical
Commun. Networking, vol. 11, pp. 547-558, 2019.
[12]	P. Almasan, J. Suárez-Varela, A. Badia-Sampera, et al., "Deep
reinforcement learning meets graph neural networks: exploring a
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[13]	V. Pasku, A. De Angelis, M. Dionigi et al., "A positioning system
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[14]	A. De Angelis, A. Moschitta, P. Carbone et al., "Design and
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[15]	G. Cerro, L. Ferrigno, M. Laracca et al., "An accurate localization
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[16]	V. Magnago, L. Palopoli, R. Passerone, D. Fontanelli and D. Macii,
"Effective landmark placement for robot indoor localization with
position uncertainty constraints," IEEE Trans. Instrum. Meas., vol.
68, no. 11, pp. 4443-4455, Nov. 2019.
[17]	V. Magnago et al., "Ranging-free UHF-RFID robot positioning

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IEEE Instrumentation & Measurement Magazine	

November 2020
https://natiflife-project.eu/
Instrumentation & Measurement Magazine 23-8

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