Ruide Cao
ABSTRACT
With the advantages of high mobility and flexibility, unmanned aerial vehicles (UAVs) have recently deployed as aerial base stations (ABSs) to expand the network capacity [1, 2] and as relays to link users and nearby base stations [5], thus assisting wireless communication. In modern cities, where apparent peaks and valleys of travel exist, mobile networks demand change can be theatrical.
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Cross Ref
- Xiao Liu, Yuanwei Liu, and Yue Chen. 2018. Deployment and movement for multiple aerial base stations by reinforcement learning. In 2018 IEEE Globecom Workshops (GC Wkshps). IEEE, 1--6.Google ScholarCross Ref
- Iman Valiulahi and Christos Masouros. 2020. Multi-UAV deployment for throughput maximization in the presence of co-channel interference. IEEE Internet of Things Journal 8, 5 (2020), 3605--3618.Google ScholarCross Ref
- Yong Zeng and Rui Zhang. 2017. Energy-efficient UAV communication with trajectory optimization. IEEE Transactions on wireless communications 16, 6 (2017), 3747--3760.Google ScholarDigital Library
- Xijian Zhong, Yan Guo, Ning Li, Yancheng Chen, and Shanling Li. 2019. Deployment optimization of UAV relay for malfunctioning base station: Model-free approaches. IEEE Transactions on Vehicular Technology 68, 12 (2019), 11971--11984.Google ScholarCross Ref
Index Terms
- Poster: A Novel Region-of-Interest Based UAV Planning Strategy for Mitigating Urban Peak Demand
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