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Article


Title

Frequency Selection for Platoon Communications in Secondary Spectrum Using Radio Environment Maps

Authors

[ 1 ] Instytut Radiokomunikacji, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ SzD ] doctoral school student | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2022

Published in

IEEE Transactions on Intelligent Transportation Systems

Journal year: 2022 | Journal volume: vol. 23 | Journal number: no. 3

Article type

scientific article

Publication language

english

Keywords
EN
  • Interference
  • Wireless communication
  • Reliability
  • Roads
  • Clustering algorithms
  • TV
  • Fuels
  • Radio environment map
  • V2V
  • Gaussian mixture model
  • interference modeling
Abstract

EN Platoon-based driving is an idea that vehicles follow each other at a close distance, in order to increase road throughput and fuel savings. This requires reliable wireless communications to adjust the speeds of vehicles. Although there is a dedicated frequency band for vehicle-to-vehicle (V2V) communications, studies have shown that it is too congested to provide reliable transmission for the platoons. Additional spectrum resources, i.e., secondary spectrum channels, can be utilized when these are not occupied by other users. Characteristics of interference in these channels are usually location-dependent and can be stored in the so-called Radio Environment Maps (REMs). This paper aims to design REM, in order to support the selection of secondary spectrum channel for intra-platoon communications. We propose to assess the channel's quality in terms of outage probability computed, with the use of estimated interference distributions stored in REM. A frequency selection algorithm that minimizes the number of channel switches along the planned platoon route is proposed. Additionally, the REM creation procedure is shown that reduces the number of database entries using (Density-Based Spatial Clustering of Applications with Noise) DBSCAN algorithm. The proposals are tested using real IQ samples captured on a real road. Application of the DBSCAN clustering to the constructed REM provided 7% reduction in its size. Utilization of the proposed channel selection algorithm resulted in a 35 times reduction of channel switches concerning channel assignment performed independently in every location.

Pages (from - to)

2637 - 2650

DOI

10.1109/TITS.2021.3136681

URL

https://ieeexplore.ieee.org/document/9662993

Points of MNiSW / journal

140.0

Impact Factor

6.492 [List 2020]

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