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Residual Energy Maximization for NOMA-Enabled UAV Data Collection Network: Trajectory Optimization and Resource Allocation
Zhu Hao,Hao Jianjun *,Guo Yijun
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876
*Correspondence author
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Funding: none
Opened online:17 March 2022
Accepted by: none
Citation: Zhu Hao,Hao Jianjun,Guo Yijun.Residual Energy Maximization for NOMA-Enabled UAV Data Collection Network: Trajectory Optimization and Resource Allocation[OL]. [17 March 2022] http://en.paper.edu.cn/en_releasepaper/content/4756777
 
 
This paper concentrates on a non-orthogonal multiple access (NOMA) enabled UAV data collection network for Internet of Things devices (IoTDs), where a unmanned aerial vehicle (UAV) is deployed as an aerial base station. During its flight period, the UAV can collect data from IoTDs and take advantage of the simultaneous wireless information and power transfer (SWIPT) technology to charge the batteries of IoTDs. With the aid of NOMA, spectrum efficiency has been improved. This paper aims to prolong the lifetime of the Internet of Things (IoT) network, via jointly optimizing the UAV trajectory, the time allocation for information communication and wireless power transfer, the IoTDs' transmit power, as well as the IoTDs' group scheduling for NOMA. Then this paper uses the block coordinate decent (BCD) and successive convex approximation (SCA) techniques to tackle the non-convexity of the formulated problem. Numerical results show that the proposed solution increases the residual energy of the IoTDs, thus prolonging the lifetime of the network.
Keywords:Communication and Information System, IoT, UAV Trajectory Designing, NOMA Transmission Scheduling
 
 
 

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