TY - GEN
T1 - Piggyback-Based Collaborative Resource Selection in C-V2X
AU - Saad, Malik Muhammad
AU - Tariq, Muhammad Ashar
AU - Ajmal, Mahnoor
AU - Kim, Sunghyun
AU - Kim, Dongkyun
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Cellular Vehicle-to-Everything (C-V2X) was introduced as the enabling vehicular communication technology for the first time in 2017 by the Third Generation Partnership Project (3GPP) in its Release 14. 3GPP defines two modes, mode 3 and mode 4, for resource scheduling in V2X. Mode 4 is used for decentralized resource scheduling, where the vehicles select the resource by themselves based on local observations. Resource scheduling in mode 4 is challenging due to resource conflicts arising from the limited spectrum, as competing vehicles may select the same resource. Additionally, the aperiodic nature of Cooperative Awareness Message (CAM) generation increases resource contention. Each year, 3GPP introduces new features to enhance the enabling V2X technology. In 3GPP Release 17, a physical sidelink feedback control mechanism is also introduced to assist resource scheduling through feedback control. In this work, we utilized the Physical Sidelink Feedback Control Channel (PSFCH) and reinforcement learning to enhance resource scheduling in C-V2X. The proposed scheme has two objectives: to address the aperiodic CAM generation and to improve resource scheduling.
AB - Cellular Vehicle-to-Everything (C-V2X) was introduced as the enabling vehicular communication technology for the first time in 2017 by the Third Generation Partnership Project (3GPP) in its Release 14. 3GPP defines two modes, mode 3 and mode 4, for resource scheduling in V2X. Mode 4 is used for decentralized resource scheduling, where the vehicles select the resource by themselves based on local observations. Resource scheduling in mode 4 is challenging due to resource conflicts arising from the limited spectrum, as competing vehicles may select the same resource. Additionally, the aperiodic nature of Cooperative Awareness Message (CAM) generation increases resource contention. Each year, 3GPP introduces new features to enhance the enabling V2X technology. In 3GPP Release 17, a physical sidelink feedback control mechanism is also introduced to assist resource scheduling through feedback control. In this work, we utilized the Physical Sidelink Feedback Control Channel (PSFCH) and reinforcement learning to enhance resource scheduling in C-V2X. The proposed scheme has two objectives: to address the aperiodic CAM generation and to improve resource scheduling.
KW - C-V2X
KW - Resource Allocation
KW - Semi-persistent Scheduling
UR - http://www.scopus.com/inward/record.url?scp=85181978061&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-50818-9_10
DO - 10.1007/978-3-031-50818-9_10
M3 - Conference contribution
AN - SCOPUS:85181978061
SN - 9783031508172
T3 - Lecture Notes in Networks and Systems
SP - 77
EP - 82
BT - Advances in Information and Communication Technology - Proceedings of the 2nd International Conference ICTA 2023
A2 - Nghia, Phung Trung
A2 - Thai, Vu Duc
A2 - Thuy, Nguyen Thanh
A2 - Son, Le Hoang
A2 - Huynh, Van-Nam
PB - Springer Science and Business Media Deutschland GmbH
T2 - 2nd International Conference on Advances in Information and Communication Technology, ICTA 2023
Y2 - 13 December 2023 through 14 December 2023
ER -