Collaborative computation offloading at UAV-enhanced edge

Jingyu Xiong, Hongzhi Guo, Jiajia Liu, Nei Kato, Yanning Zhang

研究成果: 書籍の章/レポート/Proceedings会議への寄与査読

13 被引用数 (Scopus)


In conventional terrestrial cellular networks, mobile devices at the cell edge often suffer from poor channel conditions, and thus unmanned aerial vehicles (UAVs) are introduced in recent years to improve the reliability of communication links. However, with the rapid development of Internet of Things (IoT) technology, the emerging IoT applications have blooming demands for high computation capacity from the resource-constrained IoT mobile devices (IMDs), motivated by which, mobile edge computing has been envisioned as an appealing solution to the resource bottleneck problem of IMDs. In order to cope with poor communication performance and high computation demands of cell-edge IMDs, we in this paper leverage UAV-aided edge computing to collaboratively assist computation offloading, taking account of the limited battery life of both IMDs and the UAV. We investigate a joint optimization problem of collaborative computation offloading, bandwidth portion, bit allocation, and UAV trajectory design, aiming to minimize the weighted energy consumption of IMDs and the UAV. Extensive numerical results validate the necessity of introducing UAV-aided edge computing to cellular networks, and the advantages of our proposed scheme on energy savings.

ホスト出版物のタイトル2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
出版ステータス出版済み - 2019 12月
イベント2019 IEEE Global Communications Conference, GLOBECOM 2019 - Waikoloa, 米国
継続期間: 2019 12月 92019 12月 13


名前2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings


会議2019 IEEE Global Communications Conference, GLOBECOM 2019


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