Abstract
In recent years, the embracement of smart devices carried or worn by people have transformed how society interact with one another. This trend has also been observed in the advancement of vehicular networks. Here, developments in wireless technologies for vehicle-to-vehicle (V2V) and vehicle-to-roadside (V2R) communications are leading to a new generation of vehicular networks. A natural extension of both types of networks will be their eventual wireless integration. Both people and vehicles will undoubtedly form integral parts of future mobile networks of people and things. Central to this will be the person-to-vehicle (P2V) communications channel. As the P2V channel will be subject to different signal propagation characteristics than either type of communication system considered in isolation, it is imperative the characteristics of the wireless channel must first be fully understood. To the best of the author's knowledge, this is a topic which has not yet been addressed in the open literature. In this paper we will present our most recent research on the statistical characterization of the 5.8 GHz person-to-vehicle channel in an urban environment.
Original language | English |
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Title of host publication | Proceedings of the 2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium) |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 236 |
Number of pages | 1 |
ISBN (Print) | 978-1-4799-3746-2 |
DOIs | |
Publication status | Published - Jul 2014 |
Event | USNC/URSI National Radio Science Meeting - TN, Memphis, United States Duration: 06 Jul 2014 → 11 Jul 2014 |
Conference
Conference | USNC/URSI National Radio Science Meeting |
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Country/Territory | United States |
City | Memphis |
Period | 06/07/2014 → 11/07/2014 |
Fingerprint
Dive into the research topics of 'A statistical analysis of person–to–vehicle communications channels in an urban environment at 5.8 GHz'. Together they form a unique fingerprint.Student theses
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Mobile communications channels involving people and vehicles
Doone, M. (Author), Morales, D. (Supervisor) & Cotton, S. (Supervisor), Dec 2022Student thesis: Doctoral Thesis › Doctor of Philosophy
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