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reinforcement learning
RSRP weighting
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smart factory
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multi-access edge computing
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—Device-to-device (D2D)
estimated position updating
mMIMO
control overhead
hybrid
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frame structure
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channel estimation error
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power uncertainty
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dynamic HetNet
spectrum partitioning
and 5G networks.
massive connectivity
non-orthogonal multiple access (NOMA)
overloading
DQN
OTDOA
distributed mode
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resource selection
maximum likelihood method
Resource sharing
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packet delay
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Hyunmin Seo, Hyunsoo Kim, Taehyung Kim, and Daesik Hong, "Accurate Positioning Using Beamforming" IEEE CCNC 2021
[Other Conf. Papers]
조회 26406
Status : | Presented |
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Date : | 2020-10 |
Title : | Accurate Positioning Using Beamforming |
Authors : | Hyunmin Seo, Hyunsoo Kim, Taehyung Kim, and Daesik Hong |
Conference : | IEEE CCNC |
Abstract : | Precise positioning in indoor environments has recently begun to take on greater significance. The characteristics of new radio (NR), such as high frequency-based small cells and broader system bandwidth, can improve the accuracy of observed time difference of arrival (OTDOA) positioning. However, OTDOA positioning still cannot distinguish the estimated positions of adjacent user equipments (UEs) due to the resolution limitation caused by the sampling period. In this paper, we introduce a method for updating the estimated position of OTDOA using accurate beamforming. Simulation results show the proposed method can improve the ability to distinguish the estimated position of adjacent UEs as well as OTDOA positioning accuracy. |
URL : | http://. |
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