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Congestion Control in Autonomous Resource Selection of Cellular-V2X


[ 1 ] Instytut Radiokomunikacji, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ D ] phd student | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Title variant

PL Kontrola przeciążenia w autonomicznym wyborze zasobów w systemie komunikacji komórkowej między pojazdami oraz infrastrukturą

Year of publication


Published in

IEEE Access

Journal year: 2023 | Journal volume: vol. 11

Article type

scientific article

Publication language


  • C-V2X
  • decentralized congestion control
  • resource collision
  • S-SPS
  • E-ERRA
  • C-V2X
  • rozproszona kontrola przeciążenia
  • kolizje zasobów
  • S-SPS
  • E-ERRA

EN Intelligent transportation systems have recently become a promising technology for future industries to provide safe, green, and automated driving. In this regard, the Third Generation Partnership Project (3GPP) has proposed to utilize cellular communication to enable direct communication between vehicles with and without cellular infrastructure assistance. 3GPP has introduced the Sensing-Based SemiPersistent Scheduling (S-SPS) technique when coverage of the cellular system is absent. S-SPS faces resource collision and performance degradation problems when channel load increases in the network. This paper suggests a decentralized congestion control and transmission power control mechanism (TPC-DCC) with an adaptive threshold for the received signal as a combination method to decrease channel load in the network. Furthermore, this work introduces a novel channel load adjustment. The new adjusting algorithm is based on a constant difference between the upper and lower boundaries of channel load at each level to handle channel overload and provide more flexibility using DCC mechanisms. The interactions of the proposed algorithm with S-SPS and the Extended-Estimation Reservation Resource Allocation (E-ERRA) algorithms that the authors previously proposed are investigated. The results indicate that system performance can be substantially improved when the transmission power and reception threshold are adaptively adjusted to the proposed channel load adjustment. The results of E-ERRA with the proposed channel load adjustment method show promising results compared to S-SPS.

Pages (from - to)

7450 - 7460




License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Full text of article

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Ministry points / journal


Impact Factor

3.476 [List 2021]

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