A DCNN‐LSTM model for the construction of the road radio map
A DCNN‐LSTM model for the construction of the road radio map
About this item
Full title
Author / Creator
Luo, Yechao , Shao, Wei , Jin, Jun , Liu, Yang , Lu, Haizhou , Zou, Hang , Feng, Mengting and Zhang, Peng
Publisher
John Wiley & Sons, Inc
Journal title
Language
English
Formats
Publication information
Publisher
John Wiley & Sons, Inc
Subjects
More information
Scope and Contents
Contents
It is crucial for vehicular communications to optimize the field strength coverage on roads, which can be illustrated by the radio map (RM). In this paper, a deep convolutional neural network‐long short‐term memory (DCNN‐LSTM) model for the construction of the road RM is proposed. First, a multi‐modal dataset is built, including the measured field...
Alternative Titles
Full title
A DCNN‐LSTM model for the construction of the road radio map
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_crossref_primary_10_1049_ell2_70082
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1049_ell2_70082
Other Identifiers
ISSN
0013-5194
E-ISSN
1350-911X
DOI
10.1049/ell2.70082
