Adaptive sensing-based semipersistent scheduling with channel-state-information-aided reselection probability for LTE-V2V

Jicheng Yin, Seung Hoon Hwang

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

LTE-V2V mode 4 utilizes sensing-based semipersistent scheduling (SB-SPS) to support the vehicle user equipment to autonomously select appropriate radio resources and allow the UE to be retained for several consecutive periods. Then, resource reselect is determined based on the reselection probability Pk. For conventional SB-SPS, the value of Pk is fixed identically for all vehicles. In this work, we introduce an improved SB-SPS scheme, which aims to adaptively adjust the value of the reselection probability Pk based on the channel state information. Through simulations, we concluded that the proposed algorithm outperformed the conventional algorithm and effectively improve the performance of each scenario.

Original languageEnglish
Pages (from-to)296-301
Number of pages6
JournalICT Express
Volume8
Issue number2
DOIs
StatePublished - Jun 2022

Keywords

  • Cellular vehicle-to-everything (C-V2X)
  • Cooperative awareness message (CAM)
  • Resource reselection
  • Sensing-based semipersistent scheduling (SB-SPS)
  • Vehicle-to-vehicle (V2V) Mode 4

Fingerprint

Dive into the research topics of 'Adaptive sensing-based semipersistent scheduling with channel-state-information-aided reselection probability for LTE-V2V'. Together they form a unique fingerprint.

Cite this