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Intelligent Data Transportation in Smart Cities: A Spectrum-Aware Approach
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Indexed by:Journal Papers

Date of Publication:2018-12-01

Journal:IEEE-ACM TRANSACTIONS ON NETWORKING

Included Journals:SCIE、Scopus

Volume:26

Issue:6

Page Number:2598-2611

ISSN No.:1063-6692

Key Words:Smart cities; data transportation; data offloading; vehicular networks; cognitive radios

Abstract:Communication technologies supply the blood for smart city applications. In view of the ever-increasing wireless traffic generated in smart cities and our already congested radio access networks (RANs), we have recently designed a data transportation network, the vehicular cognitive capability harvesting network (V-CCHN), which exploits the harvested spectrum opportunity and the mobility opportunity offered by the massive number of vehicles traveling in the city to not only offload delay-tolerant data from congested RANs but also support delay-tolerant data transportation for various smart-city applications. To make data transportation efficient, in this paper, we develop a spectrum-aware (SA) data transportation scheme based on Markov decision processes. Through extensive simulations, we demonstrate that, with the developed data transportation scheme, the V-CCHN is effective in offering data transportation services despite its dependence on dynamic resources, such as vehicles and harvested spectrum resources. The simulation results also demonstrate the superiority of the SA scheme over existing schemes. We expect the V-CCHN to well complement existing telecommunication networks in handling the exponentially increasing wireless data traffic.

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Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Gender:Male

Alma Mater:大连理工大学

Degree:Doctoral Degree

School/Department:信息与通信工程学院

Business Address:创新园大厦B409

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