Abstract
The recent attempts to realize full-duplex (FD) communications in millimeter wave (mmWave) systems have garnered a significant amount of interest for its potential. In this paper, we present a cost-efficient design of mmWave FD systems, where the system dynamically reduces the RF beam codebook in a computationally efficient manner, so that it is comprised of the RF beams that will prevent the Rx receive chain from saturating due to the self-interference (SI). The analog beamformer will suppress the SI to the level that the residual SI can be completely removed with digital SI cancellation, allowing the digital beamformer to concentrate on the desired channel, free of the SI. To reduce the computation required for the proposed method, we propose two sufficient conditions that prevent the Rx side saturations, which are practically tight. Through performance evaluations conducted in realistically modeled mmWave FD scenarios, we demonstrate that the proposed design achieves comparable performance with the ideal FD and other benchmarks with significantly lower costs.
Original language | English |
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Title of host publication | 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 3809-3814 |
Number of pages | 6 |
ISBN (Electronic) | 9781665435406 |
DOIs | |
Publication status | Published - 2022 |
Event | 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Virtual, Online, Brazil Duration: 2022 Dec 4 → 2022 Dec 8 |
Publication series
Name | 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings |
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Conference
Conference | 2022 IEEE Global Communications Conference, GLOBECOM 2022 |
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Country/Territory | Brazil |
City | Virtual, Online |
Period | 22/12/4 → 22/12/8 |
Bibliographical note
Funding Information:This research was in part supported by Networks Business, Samsung Electronics and Institute of Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2021-0-00486, 2021-0-02208).
Publisher Copyright:
© 2022 IEEE.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Hardware and Architecture
- Signal Processing
- Renewable Energy, Sustainability and the Environment
- Safety, Risk, Reliability and Quality