A Survey on Spectrum Sensing and Learning Technologies for 6G-Reference-Cited by-同舟云学术

A Survey on Spectrum Sensing and Learning Technologies for 6G

Published:2021-10-01 Issue:10 Volume:E104.B Page:1207-1216
ISSN:0916-8516
Container-title:IEICE Transactions on Communications
language:en
Short-container-title:IEICE Trans. Commun.

Author:

SONG Zihang¹,GAO Yue¹,TAFAZOLLI Rahim¹

Affiliation:

1. Institute for Communication Systems, Home of 5GIC and 6GIC, University of Surrey

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

https://www.jstage.jst.go.jp/article/transcom/E104.B/10/E104.B_2020DSI0002/_pdf

Reference84 articles.

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3. [3] U. Herzog, A. Georgakopoulos, I. Belikaidis, P. Demestichas, S. Diaz, Ó. Carrasco, F. Miatton, K. Moessner, and V. Frascolla, “Quality of service provision and capacity expansion through extended-DSA for 5G,” 2016 European Conference on Networks and Communications (EuCNC), pp.200-204, 2016. 10.1109/eucnc.2016.7561032

4. [4] S. Mumtaz, A. Al-Dulaimi, V. Frascolla, D. Niyato, and K. Briggs, “Dynamic spectrum management for 5G,” IEEE Wireless Commun., vol.24, no.5, pp.12-13, 2017. 10.1109/mwc.2017.8088523

5. [5] C.B. Papadias, T. Ratnarajah, and D.T. Slock, Spectrum Sharing: The Next Frontier in Wireless Networks, John Wiley & Sons, 2020. 10.1002/9781119551539

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