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This paper presents a novel unmanned aerial vehicle (UAV) aided mobile edge computing (MEC) architecture for vehicular networks. It is considered that the vehicles should complete latency critical computation intensive tasks either locally…

The huge amount of data generated by the Internet of things (IoT) devices needs the computational power and storage capacity provided by cloud, edge, and fog computing paradigms. Each of these computing paradigms has its own pros and cons.…

网络与互联网体系结构 · 计算机科学 2022-02-23 Binayak Kar , Widhi Yahya , Ying-Dar Lin , Asad Ali

In this letter, we study multiuser communication systems enabled by an unmanned aerial vehicle (UAV) that is equipped with a directional antenna of adjustable beamwidth. We propose a fly-hover-and-communicate protocol where the ground…

信息论 · 计算机科学 2017-11-08 Haiyun He , Shuowen Zhang , Yong Zeng , Rui Zhang

Over-the-air computation (AirComp) seamlessly integrates communication and computation by exploiting the waveform superposition property of multiple-access channels. Different from the existing works that focus on transceiver design of…

信号处理 · 电气工程与系统科学 2021-06-02 Min Fu , Yong Zhou , Yuanming Shi , Wei Chen , Rui Zhang

Cloud computing is an established technology allowing users to share resources on a large scale, never before seen in IT history. A cloud system connects multiple individual servers in order to process related tasks in several environments…

分布式、并行与集群计算 · 计算机科学 2025-09-30 Leszek Sliwko

The stringent requirements for low-latency and privacy of the emerging high-stake applications with intelligent devices such as drones and smart vehicles make the cloud computing inapplicable in these scenarios. Instead, edge machine…

机器学习 · 计算机科学 2019-02-19 Kai Yang , Tao Jiang , Yuanming Shi , Zhi Ding

Future intelligent systems will consist of a massive number of battery-less sensors, where quick and accurate aggregation of sensor data will be of paramount importance. Over-the-air computation (AirComp) is a promising technology wherein…

网络与互联网体系结构 · 计算机科学 2020-01-14 Amin Farajzadeh , Ozgur Ercetin , Halim Yanikomeroglu

The need for increased performance of mobile device directly conflicts with the desire for longer battery life. Offloading compu-tation to multiple devices is an effective method to reduce energy consumption and enhance performance for…

分布式、并行与集群计算 · 计算机科学 2017-10-13 Hao Qian

Unmanned aerial vehicle (UAV) has been widely adopted in wireless systems due to its flexibility, mobility, and agility. Nevertheless, a limited onboard battery greatly hinders UAV to prolong the serving time from communication tasks that…

信息论 · 计算机科学 2020-11-19 Hieu Tran-Dinh , Sumit Gautam , Symeon Chatzinotas , Bjorn Ottersten

Cellular-connected unmanned aerial vehicle (UAV) has attracted a surge of research interest in both academia and industry. To support aerial user equipment (UEs) in the existing cellular networks, one promising approach is to assign a…

In this paper, we study the joint computation offloading and resource allocation problem in the two-tier wireless heterogeneous network (HetNet). Our design aims to optimize the computation offloading to the cloud jointly with the…

网络与互联网体系结构 · 计算机科学 2018-12-13 Nguyen Ti Ti , Long Bao Le

We consider a heterogeneous network with mobile edge computing, where a user can offload its computation to one among multiple servers. In particular, we minimize the system-wide computation overhead by jointly optimizing the individual…

网络与互联网体系结构 · 计算机科学 2018-03-05 Quoc-Viet Pham , Tuan LeAnh , Nguyen H. Tran , Choong Seon Hong

Vehicular cloud computing (VCC) is proposed to effectively utilize and share the computing and storage resources on vehicles. However, due to the mobility of vehicles, the network topology, the wireless channel states and the available…

信息论 · 计算机科学 2018-04-04 Yuxuan Sun , Xueying Guo , Sheng Zhou , Zhiyuan Jiang , Xin Liu , Zhisheng Niu

In this paper, we consider the mobile edge offloading scenario consisting of one mobile device (MD) with multiple independent tasks and various remote edge devices. In order to save energy, the user's device can offload the tasks to…

信号处理 · 电气工程与系统科学 2019-10-11 Minh Hoang Ly , Thinh Quang Dinh , Ha Hoang Kha

A novel approach that combines visible light communication (VLC) with unmanned aerial vehicles (UAVs) to simultaneously provide flexible communication and illumination is proposed. To minimize the power consumption, the locations of UAVs…

信号处理 · 电气工程与系统科学 2019-05-13 Yang Yang , Mingzhe Chen , Caili Guo , Chunyan Feng , Walid Saad

This paper proposes an innovative approach by leveraging uncrewed aerial vehicles (UAVs) as base stations (BSs) and a high-altitude platform station (HAPS) as the central processing unit (CPU) in an integrated sensing and communication…

信号处理 · 电气工程与系统科学 2025-07-22 Parisa Kanani , Mohammad Javad Omidi , Mahmoud Modarres-Hashemi , Halim Yanikomeroglu

The Space-Air-Ground Integrated Network (SAGIN), crucial to the advancement of sixth-generation (6G) technology, plays a key role in ensuring universal connectivity, particularly by addressing the communication needs of remote areas lacking…

网络与互联网体系结构 · 计算机科学 2024-07-09 Yulan Gao , Ziqiang Ye , Han Yu

This paper investigates full-duplex unmanned aerial vehicle (UAV) aided small cell wireless systems, where the UAV serving as the base station (BS) is designed to transmit data to the downlink users and receive data from the uplink users…

信息论 · 计算机科学 2019-12-11 Meng Hua , Luxi Yang , Cunhua Pan , Arumugam Nallanathan

As software may be used by multiple users, caching popular software at the wireless edge has been considered to save computation and communications resources for mobile edge computing (MEC). However, fetching uncached software from the core…

信息论 · 计算机科学 2020-05-07 Wanli Wen , Ying Cui , Tony Q. S. Quek , Fu-Chun Zheng , Shi Jin

Efficient data processing and computation are essential for the industrial Internet of things (IIoT) to empower various applications, which yet can be significantly bottlenecked by the limited energy capacity and computation capability of…

信号处理 · 电气工程与系统科学 2023-03-09 Xiao Tang , Hongrui Zhang , Ruonan Zhang , Deyun Zhou , Yan Zhang , Zhu Han