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Vision-aided 28 GHz mmWave transmission with joint tx-rx beam tracking for 5G communications
- Bang, Jihoon;
- Baek, Seungwoo;
- 김한빛;
- 정현진;
- Choi, Jae hoon;
- ... Kim, Sun woo
Citations
SCOPUS
0초록
This paper presents the first real-world demonstration of a vision-aided 28 GHz mmWave transmission with a joint Tx-Rx beam tracking for 5G communications. This demonstration employs the architecture of the joint Tx-Rx beam tracking which is designed to update Tx and Rx beams simultaneously based on computer vision with deep learning model. For the demonstration setup, we build a complete end-to-end real-time 5G 28 GHz system testbed. Through this demonstration, we showcase how the presented vision-aided mmWave transmission can effectively sustain a high-throughput link despite Tx-Rx misalignment induced by user mobility. A demo video can be found at https://youtu.be/Mu6pxEYuvbY.
키워드
5G testbed; beam tracking; computer vision; millimeter-wave; 5G mobile communication systems; Computer vision; Deep learning; Demonstrations; Testbeds; Millimeter waves; 5g testbed; End to end; High-throughput; Learning models; Mm waves; Real- time; Real-world; Users' mobility
- 제목
- Vision-aided 28 GHz mmWave transmission with joint tx-rx beam tracking for 5G communications
- 저자
- Bang, Jihoon; Baek, Seungwoo; 김한빛; 정현진; Choi, Jae hoon; Kim, Sun woo
- 발행일
- 2022-06
- 유형
- Conference Paper
- 저널명
- MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services
- 페이지
- 597 ~ 598
- 언어
- ENG
- 출판사
- Association for Computing Machinery, Inc
- 발행국가
- 미국
- 분량
- 2 페이지