The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Radio Resource Management for D2D-Based V2V Communication
Open accessAbstract
Direct device-to-device (D2D) links are proposed as a possible enabler for vehicle-to-vehicle (V2V) communications, where the incurred intracell interference and the stringent latency and reliability requirements are challenging issues. In this paper, we investigate the radio resource management problem for D2D-based V2V communication. First, we analyze and transform the latency and reliability requirements of V2V communication into optimization constraints that are computable using only the slowly varying channel information. This transformation opens up the possibility of extending certain existing D2D techniques to cater to V2V communication. Second, we propose a problem formulation that fulfills the different requirements of V2V communication and traditional cellular communication. Moreover, a Separate resOurce bLock and powEr allocatioN (SOLEN) algorithm is proposed to solve this problem. Finally, simulations are presented to evaluate different schemes, which illustrate the necessity of careful design when extending D2D methods to V2V communication, as well as show promising performance of the proposed SOLEN algorithm.
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Cited by
Deep Reinforcement Learning Based Resource Allocation for V2V Communications
Ye, H., Li, G. Y., & Juang, B.-H. F. (2019) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2019.2897134 · Cited by 870
Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning
Liang, L., Ye, H., & Li, G. Y. (2019) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2019.2933962 · Cited by 559
A survey of device-to-device communications: research issues and challenges
Jameel, F., Hamid, Z., Jabeen, F., Zeadally, S., & Javed, M. A. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2828120 · Cited by 536
Resource Allocation for D2D-Enabled Vehicular Communications
Liang, L., Li, G. Y., & Xu, W. (2017) · IEEE Transactions on Communications · doi:10.1109/tcomm.2017.2699194 · Cited by 409
5G d2d networks: techniques, challenges, and future prospects
Ansari, R. I., Chrysostomou, C., Hassan, S. A., Guizani, M., Mumtaz, S., Rodriguez, J., & Rodrigues, J. J. P. C. (2018) · IEEE Systems Journal · doi:10.1109/jsyst.2017.2773633 · Cited by 350
Metadata
- Authors
- Sun, W., Strom, E. G., Brannstrom, F., Sou, K. C., & Sui, Y.
- Venue
- IEEE Transactions on Vehicular Technology
- Published
- 2016-08
- Volume
- 65
- Issue
- 8
- Pages
- 6636-6650
- ISSN
- 0018-9545 (ISSN-L)
- 1939-9359
- OpenAlex
- W1639877187
- Cited by
- 274
- References
- 22
- FWCI
- 10.91
- Type
- journal article
- Language
- en
- Open access
- green
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- Sun, W., Strom, E. G., Brannstrom, F., Sou, K. C., & Sui, Y. (2016). Radio Resource Management for D2D-Based V2V Communication. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2015.2479248
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