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

Jicheng Yin; Seung Hoon Hwang

doi:10.1016/j.icte.2021.12.002

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

Jicheng Yin
, Seung Hoon Hwang

Department of Electronics & Electrical Engineering

Dongguk University

Research output: Contribution to journal › Article › peer-review

14 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 P_k. For conventional SB-SPS, the value of P_k 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 P_k 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 language	English
Pages (from-to)	296-301
Number of pages	6
Journal	ICT Express
Volume	8
Issue number	2
DOIs	https://doi.org/10.1016/j.icte.2021.12.002
State	Published - 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

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10.1016/j.icte.2021.12.002

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

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.",

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",

author = "Jicheng Yin and Hwang, \{Seung Hoon\}",

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year = "2022",

month = jun,

doi = "10.1016/j.icte.2021.12.002",

language = "English",

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AB - 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.

KW - Cellular vehicle-to-everything (C-V2X)

KW - Cooperative awareness message (CAM)

KW - Resource reselection

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DO - 10.1016/j.icte.2021.12.002

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AN - SCOPUS:85122941232

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JO - ICT Express

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

Abstract

Keywords

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