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Author:

Lin, B. (Lin, B..) | Gao, F. (Gao, F..) | Zhang, Y. (Zhang, Y..) | Pan, C. (Pan, C..) | Liu, G. (Liu, G..)

Indexed by:

EI Scopus SCIE

Abstract:

Millimeter-wave (mmWave) communications with abundant spectrum resources have become an enabling technology for high throughput, ultra-reliable, and low latency communications (URLLC). Since the mmWave signal is sensitive to blockage, accurate base station (BS) selection and beam searching are the premises of achieving the URLLC. In this paper, we consider the mmWave communications systems where mobile users are served by the roadside unit (RSU). We propose a multi-camera view based proactive RSU selection and beam searching scheme that can predict the optimal RSU for the user in the next frame and search the corresponding beam pair. The proposed scheme utilizes vision sensing and reduces training resources. In addition, the visual information of multiple views makes the selection of the optimal RSU more accurate and reliable compared to the existing single view technologies. Simulation results in an outdoor environment show the superior performance of the proposed scheme in terms of predicting accuracy and achievable rate. IEEE

Keyword:

Feature extraction Millimeter wave communication BS selection Multi-camera view Task analysis Visualization beam searching Cameras Optimized production technology Array signal processing URLLC

Author Community:

  • [ 1 ] [Lin B.]Department of Automation, Tsinghua University, State Key Lab of Intelligent Technologies and Systems, Tsinghua University, State Key for Information Science and Technology (TNList), Beijing, P. R. China
  • [ 2 ] [Gao F.]Department of Automation, Tsinghua University, State Key Lab of Intelligent Technologies and Systems, Tsinghua University, State Key for Information Science and Technology (TNList), Beijing, P. R. China
  • [ 3 ] [Zhang Y.]Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Faculty of Information Technology, Beijing University of Technology, Beijing, P. R. China
  • [ 4 ] [Pan C.]China mobile communication research Institute, Beijing, P. R. China
  • [ 5 ] [Liu G.]China mobile communication research Institute, Beijing, P. R. China

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Source :

IEEE Transactions on Communications

ISSN: 0090-6778

Year: 2024

Issue: 5

Volume: 72

Page: 1-1

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 8

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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