DocumentCode :
713764
Title :
Dynamic spectrum management for heterogeneous UAV networks with navigation data assistance
Author :
Pengbo Si ; Yu, F. Richard ; Ruizhe Yang ; Yanhua Zhang
Author_Institution :
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
fYear :
2015
fDate :
9-12 March 2015
Firstpage :
1078
Lastpage :
1083
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.
Keywords :
autonomous aerial vehicles; cooperative communication; navigation; radio spectrum management; telecommunication network routing; telecommunication scheduling; UAV cooperation network; dynamic spectrum management; heterogeneous UAV network; navigation data-assisted optimal opportunistic spectrum access scheme; optimization problem; routing information; spectrum allocation process; spectrum subband scheduling; unmanned aerial vehicle; wireless communication; wireless link quality; Navigation; Network topology; Resource management; Routing; Vehicle dynamics; Vehicles; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2015 IEEE
Conference_Location :
New Orleans, LA
Type :
conf
DOI :
10.1109/WCNC.2015.7127619
Filename :
7127619
Link To Document :
بازگشت