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Mobile-edge computing (MEC) and wireless power transfer (WPT) have been recognized as promising techniques in the Internet of Things (IoT) era to provide massive low-power wireless devices with enhanced computation capability and…

信息论 · 计算机科学 2017-12-19 Feng Wang , Jie Xu , Xin Wang , Shuguang Cui

Integrating mobile edge computing (MEC) and wireless power transfer (WPT) has been regarded as a promising technique to improve computation capabilities for self-sustainable Internet of Things (IoT) devices. This paper investigates a…

信息论 · 计算机科学 2017-07-18 Feng Wang

This paper considers a wireless powered multiuser mobile edge computing (MEC) system, where a multi-antenna access point (AP) employs the radio-frequency (RF) signal based wireless power transfer (WPT) to charge a number of distributed…

信息论 · 计算机科学 2019-02-26 Feng Wang , Hong Xing , Jie Xu

This paper studies a novel user cooperation model in a wireless powered mobile edge computing system where two wireless users harvest wireless power transferred by one energy node and can offload part of their computation tasks to an edge…

网络与互联网体系结构 · 计算机科学 2019-09-05 Binqi He , Suzhi Bi , Hong Xing , Xiaohui Lin

The integration of mobile edge computing (MEC) and wireless power transfer (WPT) technologies has recently emerged as an effective solution for extending battery life and increasing the computing power of wireless devices. In this paper, we…

网络与互联网体系结构 · 计算机科学 2020-02-25 Yuegui Chen , Suzhi Bi , Xian Li , Xiaohui Lin , Hui Wang

Mobile edge computing (MEC) and wireless power transfer (WPT) are two promising techniques to enhance the computation capability and to prolong the operational time of low-power wireless devices that are ubiquitous in Internet of Things.…

信号处理 · 电气工程与系统科学 2018-07-19 Fuhui Zhou , Yongpeng Wu , Rose Qingyang Hu , Yi Qian

This paper studies a wireless powered mobile edge computing (MEC) system with device-to-device (D2D)-enabled task offloading. In this system, a set of distributed multi-antenna energy transmitters (ETs) use collaborative energy beamforming…

信息论 · 计算机科学 2019-11-01 Dixiao Wu , Feng Wang , Xiaowen Cao , Jie Xu

Driven by explosive computation demands of Internet of Things (IoT), mobile edge computing (MEC) provides a promising technique to enhance the computation capability for mobile users. In this paper, we propose a joint resource allocation…

信号处理 · 电气工程与系统科学 2020-06-22 Xiaojing Chen , Zhouyu Lu , Wei Ni , Xin Wang , Feng Wang , Shunqing Zhang , Shugong Xu

This paper proposes a novel user cooperation approach in both computation and communication for mobile edge computing (MEC) systems to improve the energy efficiency for latency-constrained computation. We consider a basic three-node MEC…

信息论 · 计算机科学 2018-10-10 Xiaowen Cao , Feng Wang , Jie Xu , Rui Zhang , Shuguang Cui

The combination of mobile edge computing (MEC) and radio frequency-based wireless power transfer (WPT) presents a promising technique for providing sustainable energy supply and computing services at the network edge. This study considers a…

信息论 · 计算机科学 2024-02-28 Yang Li , Xing Zhang , Bo Lei , Qianying Zhao , Min Wei , Zheyan Qu , Wenbo Wang

This paper considers an energy harvesting (EH) based multiuser mobile edge computing (MEC) system, where each user utilizes the harvested energy from renewable energy sources to execute its computation tasks via computation offloading and…

信息论 · 计算机科学 2021-06-24 Zhifei Lin , Feng Wang , Licheng Liu

Wireless charging coupled with computation offloading in edge networks offers a promising solution for realizing power-hungry and computation intensive applications on user devices. We consider a mutil-access edge computing (MEC) system…

信号处理 · 电气工程与系统科学 2020-09-02 Rafia Malik , Mai Vu

This paper studies a wireless powered mobile edge computing (MEC) system with fluctuating channels and dynamic task arrivals over time. We jointly optimize the transmission energy allocation at the energy transmitter (ET) for WPT and the…

信息论 · 计算机科学 2020-01-14 Feng Wang , Jie Xu , Shuguang Cui

This paper proposes a novel joint computation and communication cooperation approach in mobile edge computing (MEC) systems, which enables user cooperation in both computation and communication for improving the MEC performance. In…

信息论 · 计算机科学 2017-10-31 Xiaowen Cao , Feng Wang , Jie Xu , Rui Zhang , Shuguang Cui

Mobile-edge computing (MEC) and wireless power transfer are technologies that can assist in the implementation of next generation wireless networks, which will deploy a large number of computational and energy limited devices. In this…

信息论 · 计算机科学 2020-08-18 Constantinos Psomas , Ioannis Krikidis

In this paper, we consider a multi-user mobile edge computing (MEC) network powered by wireless power transfer (WPT), where each energy-harvesting WD follows a binary computation offloading policy, i.e., data set of a task has to be…

分布式、并行与集群计算 · 计算机科学 2018-03-26 Suzhi Bi , Ying-Jun Angela Zhang

Wireless charging coupled with computation offloading in edge networks offers a promising solution for realizing power-hungry and computation intensive applications on user devices. We consider a multi-access edge computing (MEC) system…

信号处理 · 电气工程与系统科学 2020-12-14 Rafia Malik , Mai Vu

This paper considers a wireless powered multiuser mobile edge computing (MEC) system, in which a multi-antenna hybrid access point (AP) wirelessly charges multiple users, and each user relies on the harvested energy to execute computation…

信息论 · 计算机科学 2020-07-27 Feng Wang , Hong Xing , Jie Xu

In this paper, we consider a wireless powered mobile edge computing (MEC) network, where the distributed energy-harvesting wireless devices (WDs) are powered by means of radio frequency (RF) wireless power transfer (WPT). In particular, the…

信息论 · 计算机科学 2018-02-13 Suzhi Bi , Ying-Jun Angela Zhang

This paper studies a multi-user cooperative mobile-edge computing (MEC) system, in which a local mobile user can offload intensive computation tasks to multiple nearby edge devices serving as helpers for remote execution. We focus on the…

信号处理 · 电气工程与系统科学 2018-02-21 Hong Xing , Liang Liu , Jie Xu , Arumugam Nallanathan
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