D2D for Intelligent Transportation Systems: A Feasibility Study
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Open Access
- 21 January 2015
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Intelligent Transportation Systems
- Vol. 16 (4), 1784-1793
- https://doi.org/10.1109/tits.2014.2377074
Abstract
Intelligent transportation systems (ITS) are becoming a crucial component of our society, whereas reliable and efficient vehicular communications consist of a key enabler of a well-functioning ITS. To meet a wide variety of ITS application needs, vehicular-to-vehicular and vehicular-to-infrastructure communications have to be jointly considered, configured, and optimized. The effective and efficient coexistence and cooperation of the two give rise to a dynamic spectrum management problem. One recently emerged and rapidly adopted solution of a similar problem in cellular networks is the so-termed device-to-device (D2D) communications. Its potential in the vehicular scenarios with unique challenges, however, has not been thoroughly investigated to date. In this paper, we for the first time carry out a feasibility study of D2D for ITS based on both the features of D2D and the nature of vehicular networks. In addition to demonstrating the promising potential of this technology, we will also propose novel remedies necessary to make D2D technology practical as well as beneficial for ITS.Keywords
Funding Information
- National Natural Science Foundation of China (61101079, 61172105, 61322107)
- National 973 Project (2013CB336700)
- Science Foundation for the Youth Scholar of Ministry of Education of China (20110001120129)
- National 863 Project (2014AA01A706)
- State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University (RCS2014K008)
This publication has 46 references indexed in Scilit:
- Distributed Congestion Control Approaches for the IEEE 802.11p Vehicular NetworksIEEE Intelligent Transportation Systems Magazine, 2013
- Resource allocation for device-to-device communications underlaying LTE-advanced networksIEEE Wireless Communications, 2013
- Envelope Level Crossing Rate and Average Fade Duration of Nonisotropic Vehicle-to-Vehicle Ricean Fading ChannelsIEEE Transactions on Intelligent Transportation Systems, 2013
- Wideband Channel Modeling and Intercarrier Interference Cancellation for Vehicle-to-Vehicle Communication SystemsIEEE Journal on Selected Areas in Communications, 2013
- Distributed resource allocation for device-to-device communications underlaying cellular networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013
- An Improved Parameter Computation Method for a MIMO V2V Rayleigh Fading Channel Simulator Under Non-Isotropic Scattering EnvironmentsIEEE Communications Letters, 2013
- Downlink resource allocation for Device-to-Device communication underlaying cellular networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- Interference-aware resource allocation for device-to-device communications as an underlay using sequential second price auctionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- Resource Sharing Optimization for Device-to-Device Communication Underlaying Cellular NetworksIEEE Transactions on Wireless Communications, 2011
- Power Optimization of Device-to-Device Communication Underlaying Cellular CommunicationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009