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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Roman, Cristian Ball, Peter Ou, Shumao |
| Copyright Year | 2015 |
| Abstract | Reliable wireless communications between vehicles (V2V) and between vehicles and infrastructure (V2I) will play a key role in future transport networks. Where there is overlapping coverage of multiple Radio Access Technologies, with no cooperation between them, a vehicle can use the different technologies simultaneously to enhance performance and improve resilience. This paper proposes an uplink Multi Interface Scheduling System (MISS) that incorporates intelligent interface selection, located at an intermediate shim layer on the user side, to achieve efficient bandwidth aggregation, or lower delay. The data can be sent on multiple technologies simultaneously or separately based on user preference and required performance. Rather than finding the best alternative amongst different technologies, this paper's algorithm aims to find all the available networks that can meet multiple criteria. Simulation has been carried out to determine the performance of the system in the presence of a range of different service types. The simulation results show that safety critical traffic can be prioritized in terms of throughput and delay where the resources are insufficient for all the services. This algorithm is ideally suited to vehicular networks, particularly where delivery of safety traffic is an essential requirement. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 233001 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467395267 |
| DOI | 10.1109/GLOCOMW.2015.7414037 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-12-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless communication Bandwidth Rats Safety Delays Standards Vehicles |
| Content Type | Text |
| Resource Type | Article |
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