Abstract
In this paper, we propose a reinforcement learning-based flexible duplex system for B5G with Sub-6 GHz. This system combines full-duplex radios and dynamic spectrum access to maximize the spectral efficiency. We verify this methodâ™s feasibility by implementing an FPGA-based real-time testbed. In addition, we compare the proposed algorithm with the result derived from the numerical analysis through system-level evaluations.
Original language | English |
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Title of host publication | 2020 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2020 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728151786 |
DOIs | |
Publication status | Published - 2020 Apr |
Event | 2020 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2020 - Seoul, Korea, Republic of Duration: 2020 May 25 → 2020 May 28 |
Publication series
Name | 2020 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2020 - Proceedings |
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Conference
Conference | 2020 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2020 |
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Country/Territory | Korea, Republic of |
City | Seoul |
Period | 20/5/25 → 20/5/28 |
Bibliographical note
Funding Information:IV. ACKNOWLEDGEMENT This work was supported by IITP grant funded by MSIT, Korea (No.2018-0-00923, 2018-0-00170), and ICT Consilience Creative Program (IITP-2019-2017-0-01015).
Publisher Copyright:
© 2020 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Signal Processing
- Instrumentation