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Vision-Aided Blockage Prediction and Proactive Handover for Indoor Terahertz Communications : 테라헤르츠파 통신을 위한 비전 기반 차단 예측 및 핸드오버에 관한 연구
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- Authors
- Advisor
- 심병효
- Issue Date
- 2023
- Publisher
- 서울대학교 대학원
- Keywords
- Vision-aided communications ; Proactive handover ; Blockage prediction ; Indoor communications
- Description
- 학위논문(석사) -- 서울대학교대학원 : 공과대학 전기·정보공학부, 2023. 8. 심병효.
- Abstract
- To support extremely high data rates in 6G wireless networks, Terahertz (Thz)
communications that explore the abundant spectrum resources at the Thz band have
attracted great interest in recent years. However, due to the strong directivity and se-
vere signal attenuation of THz signals, the link quality is highly sensitive to obstacles,
especially when there is only a line-of-sight (LoS) path. To enable proactive handover
to a transmitter with an alternative LoS link, accurate blockage prediction is essential
to avoid the sudden drop in transmission quality. Unfortunately, existing methods fo-
cusing on outdoor environments often fail to predict blockages in complicated indoor
environments.
In this paper, we propose a background-aware vision-aided blockage prediction
framework that utilizes the sequences of historical RGB-depth (RGB-D) information
and the beam indices to detect and localize users and potential blockages, predict their
trajectories, and foresee the blockages in dynamic indoor scenarios. Specifically, we
first model the background with the medium filter and use a deep-learning-based object
detector to detect the users as well as potential blockages. We then predict the future
locations of the users using an LSTM-based neural network and predict the time when
the users locate behind the background. We demonstrate from numerical results that
the proposed scheme outperforms conventional schemes in terms of blockage predic-
tion and proactive handover decision-making accuracy.
- Language
- eng
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