Resource allocation for Vehicle-to-Everything communications: A survey

被引:6
作者
Brahmi, Ibtissem [1 ]
Koubaa, Hend [1 ]
Zarai, Faouzi [1 ]
机构
[1] Univ Sfax, NTSCOM Res Unit, ENETCOM, Sfax, Tunisia
关键词
radio resource management; resource allocation; V2X communications; VEHICULAR COMMUNICATIONS; POWER-CONTROL; V2X NETWORKS; CELLULAR V2X; LOW-LATENCY; LTE; C-V2X; SELECTION; DESIGN; IMPACT;
D O I
10.1049/ntw2.12078
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The Deployment of new techniques to accommodate high data throughput, significant reliability, and quality of service (QoS) delivery prompts the use of 4G and 5G networks in several applications. In these networks, Vehicle-to-Everything (V2X) communications authorised by device-to-device cellular links (D2D) have gained momentum because of their potential to improve road safety, efficiency, and convenience. This improvement is to be provided by different types of V2X communications, including Vehicle-to-Pedestrian (V2P), Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), and Vehicle-to-Network (V2N) communications. However, considering several limiting factors such as mobility and increasing number of vehicles, efficiency of using wireless resources is a challenging task. Indeed, different research works on V2X radio resource allocation have been studied and evaluated with respect to several criteria. In this study, a survey of recent works but in a different way synthesising radio resource allocation methods is presented. Resource allocation classification into different categories is proposed. This classification is related to three main factors. The first takes into account the selection mode factor. It highlights the use of different approaches in each of the centralised, distributed, and mixed modes. The second one takes into account the considered performance criteria, including capacity, priority, delay etc. The last one focuses on the methods and scenarios used to evaluate a resource allocation approach.
引用
收藏
页码:98 / 121
页数:24
相关论文
共 105 条
[1]  
3GPP T.V.,, 2015, 3 GEN PARTN PROJ TEC
[2]  
Abanto-Leon LE, 2018, IEEE WCNC
[3]   Hierarchical Subchannel Allocation for Mode-3 Vehicle-to-Vehicle Sidelink Communications [J].
Abanto-Leon, Luis F. ;
Koppelaar, Arie ;
de Groot, Sonia Heemstra .
PROCEEDINGS OF THE 15TH ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS (SENSYS'17), 2017,
[4]   A Novel Low-Latency V2V Resource Allocation Scheme Based on Cellular V2X Communications [J].
Abbas, Fakhar ;
Fan, Pingzhi ;
Khan, Zahid .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (06) :2185-2197
[5]  
Access E.U.T.R., 2008, 36321V800 3GPP TS
[6]   Survey on radio resource allocation in long-term evolution-vehicle [J].
Allouch, Mariem ;
Kallel, Sondes ;
Soua, Ahmed ;
Shagdar, Oyunchimeg ;
Tohme, Samir .
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2022, 34 (07)
[7]   Energy Efficient Traffic Offloading in Multi-Tier Heterogeneous 5G Networks Using Intuitive Online Reinforcement Learning [J].
AlQerm, Ismail ;
Shihada, Basem .
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, 2019, 3 (03) :691-702
[8]  
Anwar W, 2019, IEEE VTS VEH TECHNOL, DOI [10.1109/vtcfall.2019.8891313, 10.1109/pimrc.2019.8904104]
[9]   A Review on IEEE 802.11p for Intelligent Transportation Systems [J].
Arena, Fabio ;
Pau, Giovanni ;
Severino, Alessandro .
JOURNAL OF SENSOR AND ACTUATOR NETWORKS, 2020, 9 (02)
[10]  
Asl ZD, 2017, 2017 19TH CSI INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP), P75, DOI 10.1109/AISP.2017.8324111