Paper Info
Title
Throughput Optimization for Cognitive UAV Networks: A Three-Dimensional-Location-Aware Approach
Abstract
An effective throughput optimization problem is studied in cognitive unmanned aerial vehicle networks (CUAVNs), where a leading unmanned aerial vehicle (LUAV) serving as an aerial mobile access point and sensing node receives data from a group of following unmanned aerial vehicles (FUAVs). For the case of single FUAV, the joint optimizing of three-dimensional location and spectrum sensing duration of LUAV is formulated to maximize FUAV’s throughput. The original non-convex problem is tackled by iteratively optimizing two convex sub-problems. For the case of multiple FUAVs, the preferable LUAV location of each FUAV can be individually calculated by using the algorithm developed for the single FUAV case, and then the final LUAV location is obtained by solving a well-formulated weighted sum problem. Numerical results show that our proposed single FUAV algorithm and throughput weighted sum based on multiple FUAVs algorithm can approach the optimal one with only 2% performance loss. Moreover, compared to the only time-dimension spectrum sensing scheme, the effective throughput of FUAV rises about 500% with the proposed schemes.
Year
DOI
Venue
2020
10.1109/LWC.2020.2974946
IEEE Wireless Communications Letters
Keywords
DocType
Volume
Sensors,Throughput,Unmanned aerial vehicles,Optimization,Data communication,Complexity theory,Time division multiple access
Journal
9
Issue
ISSN
Citations 
7
2162-2337
5
PageRank 
References 
Authors
0.40
0
7
Name
Order
Citations
PageRank
Xiaopeng Liang151.42
Wenjun Xu231359.63
Hui Gao319414.93
Miao Pan469868.15
Jiaru Lin564680.74
Qian Deng660.77
Ping Zhang7758105.08