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|Title:||Overcoming endurance issue : UAV-enabled communications with proactive caching||Authors:||Xu, Xiaoli
Guan, Yong Liang
Engineering::Electrical and electronic engineering
|Issue Date:||2018||Source:||Xu, X., Zeng, Y., Guan, Y. L., & Zhang, R. (2018). Overcoming Endurance Issue : UAV-Enabled Communications With Proactive Caching. IEEE Journal on Selected Areas in Communications, 36(6), 1231-1244. doi:10.1109/JSAC.2018.2844979||Series/Report no.:||IEEE Journal on Selected Areas in Communications||Abstract:||Wireless communication enabled by unmanned aerial vehicles (UAVs) has emerged as an appealing technology for many application scenarios in future wireless systems. However, the limited endurance of UAVs greatly hinders the practical implementation of UAV-enabled communications. To overcome this issue, this paper proposes a novel scheme for UAV-enabled communications by utilizing the promising technique of proactive caching at the users. Specifically, we focus on content-centric communication systems, where a UAV is dispatched to serve a group of ground nodes (GNs) with random and asynchronous requests for files drawn from a given set. With the proposed scheme, at the beginning of each operation period, the UAV pro-actively transmits the files to a subset of selected GNs that cooperatively cache all the files. As a result, when requested, a file can be retrieved by each GN either directly from its local cache or from its nearest neighbor that has cached the file via device-to-device communications. It is revealed that there exists a fundamental trade-off between the file caching cost, which is the total time required for the UAV to transmit the files to their designated caching GNs, and the file retrieval cost, which is the average time required for serving one file request. To characterize this trade-off, we formulate an optimization problem to minimize the weighted sum of the two costs, via jointly designing the file caching policy, the UAV trajectory, and communication scheduling. As the formulated problem is NP-hard in general, we propose efficient algorithms to find high-quality approximate solutions for it. Numerical results are provided to corroborate our study and show the great potential of proactive caching for overcoming the endurance issue in UAV-enabled communications.||URI:||https://hdl.handle.net/10356/85299
|ISSN:||0733-8716||DOI:||http://dx.doi.org/10.1109/JSAC.2018.2844979||Rights:||© 2018 IEEE. All right reserved.||metadata.item.grantfulltext:||none||metadata.item.fulltext:||No Fulltext|
|Appears in Collections:||EEE Journal Articles|
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