Joint Resource Optimization Over Licensed and Unlicensed Spectrum in Spectrum Sharing UAV Networks Against Jamming Attacks
Rui Ding, Fuhui Zhou, Yuhang Wu, Qihui Wu, and Tony Q. S. Quek

TL;DR
This paper proposes a joint resource optimization framework for spectrum sharing UAV networks that enhances sum rate performance while addressing security threats from jamming attacks, through iterative algorithms for power, subchannel, and trajectory design.
Contribution
It introduces a novel joint optimization approach combining power, subchannel, and trajectory design for spectrum sharing UAV networks under jamming threats, with a low-complexity iterative solution.
Findings
Significant sum rate improvement over benchmark schemes.
Effective anti-jamming spectrum sharing strategy.
Validated through extensive simulations.
Abstract
Unmanned aerial vehicle (UAV) communication is of crucial importance in realizing heterogeneous practical wireless application scenarios. However, the densely populated users and diverse services with high data rate demands has triggered an increasing scarcity of UAV spectrum utilization. To tackle this problem, it is promising to incorporate the underutilized unlicensed spectrum with the licensed spectrum to boost network capacity. However, the openness of unlicensed spectrum makes UAVs susceptible to security threats from potential jammers. Therefore, a spectrum sharing UAV network coexisting with licensed cellular network and unlicensed Wi-Fi network is considered with the anti-jamming technique in this paper. The sum rate maximization of the secondary network is studied by jointly optimizing the transmit power, subchannel allocation, and UAV trajectory. We first decompose the…
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Taxonomy
TopicsUAV Applications and Optimization · Security in Wireless Sensor Networks · Cognitive Radio Networks and Spectrum Sensing
