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Optimal Wireless Information and Energy Transmissions for UAV-Enabled Cognitive Communication Systems | IEEE Conference Publication | IEEE Xplore

Optimal Wireless Information and Energy Transmissions for UAV-Enabled Cognitive Communication Systems


Abstract:

This paper considers a novel UAV-enabled cognitive communication system, where a battery-powered UAV hovers above a radio frequency (RF) energy harvesting enabled ground ...Show More

Abstract:

This paper considers a novel UAV-enabled cognitive communication system, where a battery-powered UAV hovers above a radio frequency (RF) energy harvesting enabled ground terminal (GT), and opportunistically accesses the licensed spectrum of the primary user (PU), to adaptively perform wireless information transfer (WIT) and/or wireless energy transfer (WET) to the GT. We formulate the UAV's optimal WIT and WET design as a constrained Markov decision process (MDP) problem to maximize the sum-throughput in the downlink over a finite time horizon. However, this problem is shown to have high complexity to solve. We then propose an efficient suboptimal policy with low complexity by studying the optimal policy structure. Numerical results show that the proposed suboptimal policy can significantly improve the sum-throughput in the downlink over the benchmark.
Date of Conference: 19-21 December 2018
Date Added to IEEE Xplore: 14 April 2019
ISBN Information:
Conference Location: Chengdu, China

References

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