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Author:

Si, Pengbo (Si, Pengbo.) | Yu, F. Richard (Yu, F. Richard.) | Yang, Ruizhe (Yang, Ruizhe.) | Zhang, Yanhua (Zhang, Yanhua.) (Scholars:张延华)

Indexed by:

EI Scopus

Abstract:

Recently, unmanned aerial vehicle (UAV) cooperation networks have attached much attention due to their successful applications in complex military and civilian missions. In this paper, we propose a navigation data-assisted optimal opportunistic spectrum access scheme for wireless communications in heterogeneous UAV networks, to achieve maximized data rate by flexibly scheduling the spectrum subbands. The system architecture is introduced, and thanks to the navigation data that is always available locally at the entities in the network, prediction of wireless link quality and routing information can be obtained to assist subband allocations. Furthermore, the spectrum allocation process is formulated as an optimization problem. Simulation results are also presented to demonstrate the significant performance improvement of the proposed scheme compared to the existing one. © 2015 IEEE.

Keyword:

Navigation Unmanned aerial vehicles (UAV) Antennas Military applications Military vehicles

Author Community:

  • [ 1 ] [Si, Pengbo]Department of Systems and Computer Engineering, Carleton University, Ottawa; ON, Canada
  • [ 2 ] [Si, Pengbo]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Yu, F. Richard]Department of Systems and Computer Engineering, Carleton University, Ottawa; ON, Canada
  • [ 4 ] [Yang, Ruizhe]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Zhang, Yanhua]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China

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Year: 2015

Page: 1078-1083

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 18

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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