Reducing Collision Probability in Sensing-Based SPS Algorithm for V2X Sidelink Communications

Tsern Huei Lee, Chieh Fu Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Sensing-based semi-persistent scheduling algorithm was developed by 3GPP as the standard for distributed resource selection in V2X sidelink communications. Sensing before resource selection largely reduces collision probability. However, we found that considerable collisions can happen if user equipments use different resource reservation intervals. An enhancement is proposed in this paper to prevent collisions. The proposed enhancement requires only simple computation and does not need additional information to be transmitted in sidelink control information. Simulations are conducted and results show that the improvement is significant. For our simulation scenario, the collision probability can be reduced by more than 77% under perfect channel condition. When channel condition is taken into consideration, the packet reception ratio can be improved by more than 6.41%.

Original languageEnglish
Title of host publication2020 IEEE Region 10 Conference, TENCON 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages303-308
Number of pages6
ISBN (Electronic)9781728184555
DOIs
StatePublished - 16 Nov 2020
Event2020 IEEE Region 10 Conference, TENCON 2020 - Virtual, Osaka, Japan
Duration: 16 Nov 202019 Nov 2020

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume2020-November
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Conference

Conference2020 IEEE Region 10 Conference, TENCON 2020
Country/TerritoryJapan
CityVirtual, Osaka
Period16/11/2019/11/20

Keywords

  • Collision probability
  • Sensing-based SPS
  • Sidelink communications
  • V2X

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