A Survey on Resource Allocation in Vehicular Networks

Vehicular networks, an enabling technology for Intelligent Transportation System (ITS), smart cities, and autonomous driving, can deliver numerous on-board data services, e.g., road-safety, easy navigation, traffic efficiency, comfort driving, infotainment, etc. Providing satisfactory quality of service (QoS) in vehicular networks, however, is a challenging task due to a number of limiting factors such as hostile wireless channels (e.g., high mobility or asynchronous transmissions), increasingly fragmented and congested spectrum, hardware imperfections, and explosive growth of vehicular communication devices. Therefore, it is highly desirable to allocate and utilize the available wireless network resources in an ultra-efficient manner. In this paper, we present a comprehensive survey on resource allocation (RA) schemes for a range of vehicular network technologies including dedicated short range communications (DSRC) and cellular based vehicular networks. We discuss the challenges and opportunities for resource allocations in modern vehicular networks and outline a number of promising future research directions.

[1]  Gerhard Fettweis,et al.  An Efficient Radio Resource Re-Allocation Scheme for Delay Guaranteed Vehicle-to-Vehicle Network , 2016, 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall).

[2]  Victor C. M. Leung,et al.  Joint User Scheduling and Power Allocation Optimization for Energy-Efficient NOMA Systems With Imperfect CSI , 2017, IEEE Journal on Selected Areas in Communications.

[3]  Cheng Li,et al.  Fuzzy Q-learning based vertical handoff control for vehicular heterogeneous wireless network , 2014, 2014 IEEE International Conference on Communications (ICC).

[4]  Barbara M. Masini,et al.  On the Performance of IEEE 802.11p and LTE-V2V for the Cooperative Awareness of Connected Vehicles , 2017, IEEE Transactions on Vehicular Technology.

[5]  Xiang Cheng,et al.  D2D for Intelligent Transportation Systems: A Feasibility Study , 2015, IEEE Transactions on Intelligent Transportation Systems.

[6]  Xiang Cheng,et al.  Secrecy-Based Resource Allocation for Vehicular Communication Networks with Outdated CSI , 2017, 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall).

[7]  Victor C. M. Leung,et al.  Optimal Distributed Vertical Handoff Strategies in Vehicular Heterogeneous Networks , 2011, IEEE Journal on Selected Areas in Communications.

[8]  Yong Liang Guan,et al.  Efficient Real-Time Coding-Assisted Heterogeneous Data Access in Vehicular Networks , 2018, IEEE Internet of Things Journal.

[9]  Jeffrey G. Andrews,et al.  An Overview on 3GPP Device-to-Device Proximity Services , 2013, 1310.0116.

[10]  Geoffrey Ye Li,et al.  Deep Reinforcement Learning based Resource Allocation for V 2 V Communications , 2018 .

[11]  Giovanni Pau,et al.  Optimization-Oriented Resource Allocation Management for Vehicular Fog Computing , 2018, IEEE Access.

[12]  Mate Boban,et al.  Radio Resource Allocation for Reliable Out-of-Coverage V2V Communications , 2018, 2018 IEEE 87th Vehicular Technology Conference (VTC Spring).

[13]  Hongli He,et al.  Resource Allocation for Video Streaming in Heterogeneous Cognitive Vehicular Networks , 2016, IEEE Transactions on Vehicular Technology.

[14]  Marco Conti,et al.  IEEE 802.11 protocol: design and performance evaluation of an adaptive backoff mechanism , 2000, IEEE Journal on Selected Areas in Communications.

[15]  Yusheng Ji,et al.  Power Control in D2D-Based Vehicular Communication Networks , 2015, IEEE Transactions on Vehicular Technology.

[16]  Xianbin Wang,et al.  Intelligent Network Slicing for V2X Services Toward 5G , 2019, IEEE Network.

[17]  V. P. Harigovindan,et al.  Ensuring fair access in IEEE 802.11p-based vehicle-to-infrastructure networks , 2012, EURASIP J. Wirel. Commun. Netw..

[18]  Shuguang Cui,et al.  Dynamic Resource Allocation in Cognitive Radio Networks , 2010, IEEE Signal Processing Magazine.

[19]  Geoffrey Ye Li,et al.  Machine Learning for Vehicular Networks: Recent Advances and Application Examples , 2018, IEEE Vehicular Technology Magazine.

[20]  Harold W. Kuhn,et al.  The Hungarian method for the assignment problem , 1955, 50 Years of Integer Programming.

[21]  Erik G. Ström,et al.  Cluster-Based Radio Resource Management for D2D-Supported Safety-Critical V2X Communications , 2016, IEEE Transactions on Wireless Communications.

[22]  Zhenyu Wang,et al.  A centrality-based RSU deployment approach for vehicular ad hoc networks , 2017, 2017 IEEE International Conference on Communications (ICC).

[23]  Manuel Eugenio Morocho-Cayamcela,et al.  Machine Learning for 5 G / B 5 G Mobile and Wireless Communications : Potential , Limitations , and Future Directions , 2019 .

[24]  Geoffrey Ye Li,et al.  Toward Intelligent Vehicular Networks: A Machine Learning Framework , 2018, IEEE Internet of Things Journal.

[25]  Xin-Lin Huang,et al.  Analytical Model and Performance Evaluation of Long-Term Evolution for Vehicle Safety Services , 2017, IEEE Transactions on Vehicular Technology.

[26]  Zhu Han,et al.  Machine Learning Paradigms for Next-Generation Wireless Networks , 2017, IEEE Wireless Communications.

[27]  Leandros Tassiulas,et al.  Resource Allocation and Cross-Layer Control in Wireless Networks , 2006, Found. Trends Netw..

[28]  Hai Zhao,et al.  Resource Allocation for Cellular-based Inter-Vehicle Communications in Autonomous Multiplatoons , 2017, IEEE Transactions on Vehicular Technology.

[29]  Li Zhao,et al.  Vehicle-to-Everything (v2x) Services Supported by LTE-Based Systems and 5G , 2017, IEEE Communications Standards Magazine.

[30]  Mohsen Guizani,et al.  Reinforcement learning for resource provisioning in the vehicular cloud , 2016, IEEE Wireless Communications.

[31]  Junjie Yan,et al.  Resource Allocation for D2D-Enabled Communications in Vehicle Platooning , 2018, IEEE Access.

[32]  Wenbo Wang,et al.  A Graph-Based Cooperative Scheduling Scheme for Vehicular Networks , 2013, IEEE Transactions on Vehicular Technology.

[33]  Dong In Kim,et al.  Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory , 2018, IEEE Transactions on Vehicular Technology.

[34]  Yang Zhang,et al.  V-PADA: Vehicle-Platoon-Aware Data Access in VANETs , 2011, IEEE Transactions on Vehicular Technology.

[35]  Mate Boban,et al.  A pr 2 01 9 Radio Resource Allocation for Reliable Out-of-coverage V 2 V Communications , 2022 .

[36]  Yasser L. Morgan,et al.  Notes on DSRC & WAVE Standards Suite: Its Architecture, Design, and Characteristics , 2010, IEEE Communications Surveys & Tutorials.

[37]  Jaehoon Jeong,et al.  IPv6 Wireless Access in Vehicular Environments (IPWAVE): Problem Statement and Use Cases , 2020, RFC.

[38]  Wolfgang Kellerer,et al.  Location dependent resource allocation for mobile device-to-device communications , 2014, 2014 IEEE Wireless Communications and Networking Conference (WCNC).

[39]  Jenq-Neng Hwang,et al.  QoE-Based Resource Allocation for Heterogeneous Multi-Radio Communication in Software-Defined Vehicle Networks , 2018, IEEE Access.

[40]  Nguyen H. Tran,et al.  Network Slicing: Recent Advances, Taxonomy, Requirements, and Open Research Challenges , 2020, IEEE Access.

[41]  Chau Yuen,et al.  Coding-Based Data Broadcasting for Time-Critical Applications With Rate Adaptation , 2014, IEEE Transactions on Vehicular Technology.

[42]  Liu Fuqiang,et al.  Heterogeneous Vehicular Communication Architecture and Key Technologies , 2020 .

[43]  Kais Mnif,et al.  A Survey on Radio Resource Allocation for V2X Communication , 2019, Wirel. Commun. Mob. Comput..

[44]  Alfredo García,et al.  On the Feasibility of 5G Slice Resource Allocation With Spectral Efficiency: A Probabilistic Characterization , 2019, IEEE Access.

[45]  Yuan Dong,et al.  An Interference-Aware Resource Allocation Scheme for Connectivity Improvement in Vehicular Networks , 2018, IEEE Access.

[46]  Kazi J. Ahmed,et al.  Secure Resource Allocation for LTE-Based V2X Service , 2018, IEEE Transactions on Vehicular Technology.

[47]  Geoffrey Ye Li,et al.  Vehicular Communications: A Network Layer Perspective , 2017, IEEE Transactions on Vehicular Technology.

[48]  Mario Gerla,et al.  Vehicular cloud networking: architecture and design principles , 2014, IEEE Communications Magazine.

[49]  Xinyi Liu,et al.  A Low-Cost Resource Re-Allocation Scheme for Increasing the Number of Guaranteed Services in Resource-Limited Vehicular Networks , 2018, Sensors.

[50]  Marc Peter Deisenroth,et al.  Deep Reinforcement Learning: A Brief Survey , 2017, IEEE Signal Processing Magazine.

[51]  Rahim Tafazolli,et al.  Filtered OFDM Systems, Algorithms, and Performance Analysis for 5G and Beyond , 2018, IEEE Transactions on Communications.

[52]  Arturo González,et al.  A Feasibility Study of LTE-V2X Semi-Persistent Scheduling for String Stable CACC , 2019, 2019 IEEE Wireless Communications and Networking Conference (WCNC).

[53]  Zeeshan Hameed Mir,et al.  LTE and IEEE 802.11p for vehicular networking: a performance evaluation , 2014, EURASIP J. Wirel. Commun. Netw..

[54]  Philippe J. Sartori,et al.  LTE evolution for vehicle-to-everything services , 2016, IEEE Communications Magazine.

[55]  Dirk Pesch,et al.  Broadcast Performance Analysis and Improvements of the LTE-V2V Autonomous Mode at Road Intersection , 2019, IEEE Transactions on Vehicular Technology.

[56]  Xuemin Shen,et al.  Performance Analysis of Vehicular Device-to-Device Underlay Communication , 2017, IEEE Transactions on Vehicular Technology.

[57]  Leandros Tassiulas,et al.  Resource Allocation and Cross Layer Control in Wireless Networks (Foundations and Trends in Networking, V. 1, No. 1) , 2006 .

[58]  Adão Silva,et al.  An Overview on Resource Allocation Techniques for Multi-User MIMO Systems , 2016, IEEE Communications Surveys & Tutorials.

[59]  John B. Kenney,et al.  Dedicated Short-Range Communications (DSRC) Standards in the United States , 2011, Proceedings of the IEEE.

[60]  Gerhard P. Fettweis,et al.  Wireless Control Communications Co-Design via Application-Adaptive Resource Management , 2019, 2019 IEEE 2nd 5G World Forum (5GWF).

[61]  Farid Ashtiani,et al.  A modified 802.11-based MAC scheme to assure fair access for vehicle-to-roadside communications , 2008, Comput. Commun..

[62]  Lyes Khoukhi,et al.  5G-Slicing-Enabled Scalable SDN Core Network: Toward an Ultra-Low Latency of Autonomous Driving Service , 2019, IEEE Journal on Selected Areas in Communications.

[63]  Yong Liang Guan,et al.  Analysis and Improvement of Reliability Through Coding for Safety Message Broadcasting in Urban Vehicular Networks , 2018, IEEE Transactions on Vehicular Technology.

[64]  Andreas Mitschele-Thiel,et al.  LTE-D2D for connected cars: a survey on radio resource management schemes , 2018 .

[65]  Xin Wang,et al.  Resource Allocation for Wireless Multiuser OFDM Networks , 2011, IEEE Transactions on Information Theory.

[66]  Hariharan Krishnan,et al.  Adaptive intervehicle communication control for cooperative safety systems , 2010, IEEE Network.

[67]  Lei Zhang,et al.  Mixed Numerologies Interference Analysis and Inter-Numerology Interference Cancellation for Windowed OFDM Systems , 2018, IEEE Transactions on Vehicular Technology.

[68]  Geng Wu,et al.  An end-to-end network slicing framework for 5G wireless communication systems , 2016, ArXiv.

[69]  Kin K. Leung,et al.  Density-based optimal transmission for throughput enhancement in vehicular ad-hoc networks , 2015, 2015 IEEE International Conference on Communications (ICC).

[70]  Geoffrey Ye Li,et al.  Resource Allocation for D2D-Enabled Vehicular Communications , 2017, IEEE Transactions on Communications.

[71]  Barbara M. Masini,et al.  MAP-RP: Map-based resource reselection procedure for autonomous LTE-V2V , 2017, 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[72]  Jiannong Cao,et al.  Coding-Assisted Broadcast Scheduling via Memetic Computing in SDN-Based Vehicular Networks , 2018, IEEE Transactions on Intelligent Transportation Systems.

[73]  Ayaz Ahmad,et al.  A Survey on Radio Resource Allocation in Cognitive Radio Sensor Networks , 2015, IEEE Communications Surveys & Tutorials.

[74]  Der-Jiunn Deng,et al.  Resource Allocation in Vehicular Cloud Computing Systems With Heterogeneous Vehicles and Roadside Units , 2018, IEEE Internet of Things Journal.

[75]  J. Munkres ALGORITHMS FOR THE ASSIGNMENT AND TRANSIORTATION tROBLEMS* , 1957 .

[76]  Geoffrey Ye Li,et al.  Deep Reinforcement Learning Based Resource Allocation for V2V Communications , 2018, IEEE Transactions on Vehicular Technology.

[77]  Didier Colle,et al.  Demystifying network slicing: From theory to practice , 2017, 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM).

[78]  Xiaofeng Tao,et al.  Resource allocation in D2D-based V2V communication for maximizing the number of concurrent transmissions , 2016, 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[79]  Rahim Tafazolli,et al.  Multi-Service System: An Enabler of Flexible 5G Air Interface , 2017, IEEE Communications Magazine.

[80]  Victor C. M. Leung,et al.  Delay-Optimal Virtualized Radio Resource Scheduling in Software-Defined Vehicular Networks via Stochastic Learning , 2016, IEEE Transactions on Vehicular Technology.

[81]  Wansu Lim,et al.  Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions , 2019, IEEE Access.

[82]  Herb Schwetman,et al.  CSIM19: a powerful tool for building system models , 2001, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).

[83]  Jordi Pérez-Romero,et al.  An Efficient RAN Slicing Strategy for a Heterogeneous Network With eMBB and V2X Services , 2019, IEEE Access.

[84]  Walaa Hamouda,et al.  Resource Allocation for Underlay Cognitive Radio Networks: A Survey , 2017, IEEE Communications Surveys & Tutorials.

[85]  Yiqing Zhou,et al.  Heterogeneous Vehicular Networking: A Survey on Architecture, Challenges, and Solutions , 2015, IEEE Communications Surveys & Tutorials.

[86]  Hannes Hartenstein,et al.  VANET: Vehicular Applications and Inter-Networking Technologies , 2010, VANET.

[87]  Gerhard Fettweis,et al.  String Stable CACC under LTE-V2V Mode 3: Scheduling Periods and Transmission Delays , 2019, 2019 IEEE 2nd 5G World Forum (5GWF).

[88]  Supeng Leng,et al.  Smart Network Slicing for Vehicular Fog-RANs , 2019, IEEE Transactions on Vehicular Technology.

[89]  Antonio Iera,et al.  5G Network Slicing for Vehicle-to-Everything Services , 2017, IEEE Wireless Communications.

[90]  Luiz A. DaSilva,et al.  Customization and Trade-offs in 5G RAN Slicing , 2019, IEEE Communications Magazine.

[91]  Geoffrey Ye Li,et al.  Deep Reinforcement Learning for Resource Allocation in V2V Communications , 2017, 2018 IEEE International Conference on Communications (ICC).

[92]  Gerhard Fettweis,et al.  Control Loop Aware LTE-V2X Semi-Persistent Scheduling for String Stable CACC , 2019, 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).

[93]  Christian Wietfeld,et al.  Towards 5G: An Empirical Evaluation of Software-Defined End-to-End Network Slicing , 2018, 2018 IEEE Globecom Workshops (GC Wkshps).

[94]  Xianbin Wang,et al.  Joint Radio Resource Allocation and Control for Vehicle Platooning in LTE-V2V Network , 2018, IEEE Transactions on Vehicular Technology.

[95]  Victor C. S. Lee,et al.  Coding-Based Data Broadcast Scheduling in On-Demand Broadcast , 2011, IEEE Transactions on Wireless Communications.

[96]  Mohamed-Slim Alouini,et al.  Delay efficient cooperation in public safety vehicular networks using LTE and IEEE 802.11p , 2012, 2012 IEEE Consumer Communications and Networking Conference (CCNC).

[97]  Alagan Anpalagan,et al.  Resource Allocation Techniques in Cooperative Cognitive Radio Networks , 2014, IEEE Communications Surveys & Tutorials.

[98]  Pierluigi Pisu,et al.  The Impact of Dedicated Short Range Communication on Cooperative Adaptive Cruise Control , 2018, 2018 IEEE International Conference on Communications (ICC).

[99]  Victor C. M. Leung,et al.  Dynamic Performance Analysis of Uplink Transmission in Cluster-Based Heterogeneous Vehicular Networks , 2015, IEEE Transactions on Vehicular Technology.

[100]  Xueli An,et al.  Reshaping the Mobile core network via function decomposition and network slicing for the 5G era , 2016, 2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

[101]  Benoît Champagne,et al.  Enhanced autonomous resource selection for LTE-based V2V communication , 2016, 2016 IEEE Vehicular Networking Conference (VNC).

[102]  Xuemin Sherman Shen,et al.  On Achieving Seamless IP Communications in Heterogeneous Vehicular Networks , 2015, IEEE Transactions on Intelligent Transportation Systems.

[103]  Sang Hyuk Son,et al.  Bandwidth Efficiency and Service Adaptiveness Oriented Data Dissemination in Heterogeneous Vehicular Networks , 2018, IEEE Transactions on Vehicular Technology.

[104]  Si-Ho Cha,et al.  DSRC-Based Channel Allocation Algorithm for Emergency Message Dissemination in VANETs , 2011, ICHIT.

[105]  Sherali Zeadally,et al.  VANET-cloud: a generic cloud computing model for vehicular Ad Hoc networks , 2015, IEEE Wireless Communications.

[106]  Mario Gerla,et al.  Vehicular Cloud Computing , 2012, 2012 The 11th Annual Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net).

[107]  Patric R. J. Östergård,et al.  Greedy and Heuristic Algorithms for Codes and Colorings , 1998, IEEE Trans. Inf. Theory.

[108]  Jung-Shyr Wu,et al.  A Channel Access Scheme to Compromise Throughput and Fairness in IEEE 802.11p Multi-Rate/Multi-Channel Wireless Vehicular Networks , 2010, 2010 IEEE 71st Vehicular Technology Conference.

[109]  Hannes Hartenstein,et al.  Inter-vehicle communication: Quo vadis , 2014, IEEE Communications Magazine.

[110]  Keqin Li,et al.  Spectrum Resource Sharing in Heterogeneous Vehicular Networks: A Noncooperative Game-Theoretic Approach With Correlated Equilibrium , 2018, IEEE Transactions on Vehicular Technology.

[111]  GAURANG NAIK,et al.  IEEE 802 . 11 bd & 5 G NR V 2 X : Evolution of Radio Access Technologies for V 2 X Communications , 2019 .

[112]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.

[113]  Kathryn Fraughnaugh,et al.  Introduction to graph theory , 1973, Mathematical Gazette.

[114]  Gunnar Mildh,et al.  Impact of network slicing on 5G Radio Access Networks , 2016, 2016 European Conference on Networks and Communications (EuCNC).

[115]  Rahim Tafazolli,et al.  Multi-Service Signal Multiplexing and Isolation for Physical-Layer Network Slicing (PNS) , 2017, 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall).

[116]  Yu Cheng,et al.  On Optimal Device-to-Device Resource Allocation for Minimizing End-to-End Delay in VANETs , 2016, IEEE Transactions on Vehicular Technology.

[117]  Weihua Zhuang,et al.  Mobility impact in IEEE 802.11p infrastructureless vehicular networks , 2012, Ad Hoc Networks.

[118]  Xiangwei Zhou,et al.  Robust Resource Allocation With Imperfect Channel Estimation in NOMA-Based Heterogeneous Vehicular Networks , 2019, IEEE Transactions on Communications.

[119]  Jung-Min Park,et al.  IEEE 802.11bd & 5G NR V2X: Evolution of Radio Access Technologies for V2X Communications , 2019, IEEE Access.

[120]  Kin K. Leung,et al.  Optimised CSMA/CA protocol for safety messages in vehicular ad-hoc networks , 2017, 2017 IEEE Symposium on Computers and Communications (ISCC).

[121]  Samir Causevic,et al.  Benefits of using 5G Network Slicing to implement Vehicle-to-Everything (V2X) technology , 2019 .

[122]  Mahesh K. Marina,et al.  Network Slicing in 5G: Survey and Challenges , 2017, IEEE Communications Magazine.

[123]  Miaowen Wen,et al.  Channel Estimation Schemes for IEEE 802.11p Standard , 2013, IEEE Intelligent Transportation Systems Magazine.

[124]  Yong Liang Guan,et al.  An Efficient Cross-Layer Coding-Assisted Heterogeneous Data Access in Vehicular Networks , 2018, 2018 IEEE International Conference on Communications (ICC).

[125]  Geoffrey Ye Li,et al.  Resource Allocation for Low-Latency Vehicular Communications: An Effective Capacity Perspective , 2019, IEEE Journal on Selected Areas in Communications.

[126]  Victor C. M. Leung,et al.  Resource Allocation for Ultra-Dense Networks: A Survey, Some Research Issues and Challenges , 2019, IEEE Communications Surveys & Tutorials.

[127]  Cheng Wang,et al.  User Association for Load Balancing in Vehicular Networks: An Online Reinforcement Learning Approach , 2017, IEEE Transactions on Intelligent Transportation Systems.

[128]  Xianbin Wang,et al.  A Latency and Reliability Guaranteed Resource Allocation Scheme for LTE V2V Communication Systems , 2018, IEEE Transactions on Wireless Communications.

[129]  Xiang Cheng,et al.  Interference Graph-Based Resource-Sharing Schemes for Vehicular Networks , 2013, IEEE Transactions on Vehicular Technology.

[130]  Yong Liang Guan,et al.  Performance Analysis of IEEE 802.11p Safety Message Broadcast With and Without Relaying at Road Intersection , 2018, IEEE Access.

[131]  Hieu Nguyen,et al.  A Semi-Empirical Performance Study of Two-Hop DSRC Message Relaying at Road Intersections , 2018, Inf..

[132]  Ali Dehghantanha,et al.  Blockchain-Enabled Authentication Handover With Efficient Privacy Protection in SDN-Based 5G Networks , 2019, IEEE Transactions on Network Science and Engineering.

[133]  Antonio Iera,et al.  LTE for vehicular networking: a survey , 2013, IEEE Communications Magazine.

[134]  Mike Lukuc,et al.  Vehicle-to-Vehicle Communications: Readiness of V2V Technology for Application , 2014 .

[135]  Zhengguo Sheng,et al.  Contention-based learning MAC protocol for broadcast vehicle-to-vehicle communication , 2017, 2017 IEEE Vehicular Networking Conference (VNC).

[136]  Barbara M. Masini,et al.  LTEV2Vsim: An LTE-V2V simulator for the investigation of resource allocation for cooperative awareness , 2017, 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS).

[137]  Erik G. Ström,et al.  Radio Resource Management for D2D-Based V2V Communication , 2016, IEEE Transactions on Vehicular Technology.