no code implementations • 23 Dec 2023 • Juncheng Jia, Ji Liu, Chendi Zhou, Hao Tian, Mianxiong Dong, Dejing Dou
As the bandwidth between the devices and the server is relatively low, the communication of intermediate data becomes a bottleneck.
no code implementations • 23 Oct 2023 • Wenhao Yan, He Li, Kaoru Ota, Mianxiong Dong
Widely available healthcare services are now getting popular because of advancements in wearable sensing techniques and mobile edge computing.
no code implementations • 24 Aug 2023 • Bin Li, Rongrong Yang, Lei Liu, Junyi Wang, Ning Zhang, Mianxiong Dong
For multiple Unmanned-Aerial-Vehicles (UAVs) assisted Mobile Edge Computing (MEC) networks, we study the problem of combined computation and communication for user equipments deployed with multi-type tasks.
no code implementations • 21 Mar 2023 • Qihao Peng, Hong Ren, Mianxiong Dong, Maged Elkashlan, Kai-Kit Wong, Lajos Hanzo
Specifically, to support multiple devices with limited pilot overhead, pilot reuse among the users is considered, where we formulate a joint pilot length and pilot allocation strategy for maximizing the number of devices admitted.
no code implementations • 17 Feb 2022 • Shiye Zhao, Kaoru Ota, Mianxiong Dong
We propose the method to deploy UAVs cooperating with available TBSs as aerial base stations.
no code implementations • 15 Feb 2022 • Xiaoyu Dai, Kaoru Ota, Mianxiong Dong
As intelligent transportation systems been implemented broadly and unmanned arial vehicles (UAVs) can assist terrestrial base stations acting as multi-access edge computing (MEC) to provide a better wireless network communication for Internet of Vehicles (IoVs), we propose a UAVs-assisted approach to help provide a better wireless network service retaining the maximum Quality of Experience(QoE) of the IoVs on the lane.
no code implementations • 9 Dec 2021 • Xiangyong Lu, Kaoru Ota, Mianxiong Dong, Chen Yu, Hai Jin
Nowadays many cities around the world have introduced electric buses to optimize urban traffic and reduce local carbon emissions.
no code implementations • 28 Apr 2021 • Abu Sufian, Changsheng You, Mianxiong Dong
In this article, we propose a transfer learning-based edge computing method for home health monitoring.