Collaborative computation offloading at UAV-enhanced edge

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

研究成果: Conference contribution

12 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Published - 2019 12月
イベント2019 IEEE Global Communications Conference, GLOBECOM 2019 - Waikoloa, United States
継続期間: 2019 12月 92019 12月 13


名前2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings


Conference2019 IEEE Global Communications Conference, GLOBECOM 2019
国/地域United States

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ
  • 情報システム
  • 信号処理
  • 情報システムおよび情報管理
  • 安全性、リスク、信頼性、品質管理
  • メディア記述
  • 健康情報学


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