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相关论文: Energy Efficient Mobile Cloud Computing Powered by…

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Scavenging the idling computation resources at the enormous number of mobile devices can provide a powerful platform for local mobile cloud computing. The vision can be realized by peer-to-peer cooperative computing between edge devices,…

信息论 · 计算机科学 2017-09-05 Changsheng You , Kaibin Huang

This letter investigates a cache-enabled multiuser mobile edge computing (MEC) system with dynamic task arrivals, taking into account the impact of proactive cache placement on the system's overall energy consumption. We consider that an…

信息论 · 计算机科学 2023-02-01 Jingxuan Liang , Hong Xing , Feng Wang , Vincent K. N. Lau

Cloud mobile computing enables the offloading of computation-intensive applications from a mobile device to a cloud processor via a wireless interface. In light of the strong interplay between offloading decisions at the application layer…

分布式、并行与集群计算 · 计算机科学 2016-08-29 Shahrouz Khalili , Osvaldo Simeone

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

Computation task service delivery in a computing-enabled and caching-aided multi-user mobile edge computing (MEC) system is studied in this paper, where a MEC server can deliver the input or output datas of tasks to mobile devices over a…

信息论 · 计算机科学 2018-07-17 Yaping Sun , Zhiyong Chen , Meixia Tao , Hui Liu

Mobile-edge computation offloading (MECO) offloads intensive mobile computation to clouds located at the edges of cellular networks. Thereby, MECO is envisioned as a promising technique for prolonging the battery lives and enhancing the…

信息论 · 计算机科学 2016-04-12 Changsheng You , Kaibin Huang

In mobile computation offloading (MCO), mobile devices (MDs) can choose to either execute tasks locally or to have them executed on a remote edge server (ES). This paper addresses the problem of assigning both the wireless communication…

网络与互联网体系结构 · 计算机科学 2023-01-31 Hong Chen , Terence D. Todd , Dongmei Zhao , George Karakostas

Leveraging massive numbers of sensors in user equipment as well as opportunistic human mobility, mobile crowd sensing (MCS) has emerged as a powerful paradigm, where prolonging battery life of constrained devices and motivating human…

信息论 · 计算机科学 2018-03-06 Xiaoyang Li , Changsheng You , Sergey Andreev , Yi Gong , Kaibin Huang

Microwave power transfer (MPT) delivers energy wirelessly from stations called power beacons (PBs) to mobile devices by microwave radiation. This provides mobiles practically infinite battery lives and eliminates the need of power cords and…

信息论 · 计算机科学 2012-07-25 Kaibin Huang , Vincent K. N. Lau

Far-field microwave power transfer (MPT) will free wireless sensors and other mobile devices from the constraints imposed by finite battery capacities. Integrating MPT with wireless communications to support simultaneous information and…

信息论 · 计算机科学 2015-06-12 Kaibin Huang , Erik G. Larsson

Task offloading to mobile edge computing (MEC) has emerged as a key technology to alleviate the computation workloads of mobile devices and decrease service latency for the computation-intensive applications. Device battery consumption is…

网络与互联网体系结构 · 计算机科学 2021-10-04 Siqi Zhang , Na Yi , Yi Ma

Mobile-edge cloud computing is a new paradigm to provide cloud computing capabilities at the edge of pervasive radio access networks in close proximity to mobile users. In this paper, we first study the multi-user computation offloading…

网络与互联网体系结构 · 计算机科学 2015-10-06 Xu Chen , Lei Jiao , Wenzhong Li , Xiaoming Fu

In this paper, we study the resource allocation and user scheduling algorithm for minimizing the energy cost of data transmission in the context of OFDMA collaborative mobile cloud (CMC) with simultaneous wireless information and power…

网络与互联网体系结构 · 计算机科学 2014-10-02 Zheng Chang , Jie Gong , Tapani Ristaniemi , Zhisheng Niu

Mobile-edge computing (MEC) has emerged as a prominent technique to provide mobile services with high computation requirement, by migrating the computation-intensive tasks from the mobile devices to the nearby MEC servers. To reduce the…

信息论 · 计算机科学 2017-01-19 Yuyi Mao , Jun Zhang , Khaled B. Letaief

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

Energy-efficient computation is an inevitable trend for mobile edge computing (MEC) networks. Resource allocation strategies for maximizing the computation efficiency are critically important. In this paper, computation efficiency…

信号处理 · 电气工程与系统科学 2020-02-12 Fuhui Zhou , Rose Qingyang Hu

To increase mobile batteries' lifetime and improve quality of experience for computation-intensive and latency-sensitive applications, mobile edge computing has received significant interest. Designing energy-efficient mobile edge computing…

信息论 · 计算机科学 2016-11-08 Junfeng Guo , Zhaozhe Song , Ying Cui

In this paper, we jointly consider communication, caching and computation in a multi-user cache-assisted mobile edge computing (MEC) system, consisting of one base station (BS) of caching and computing capabilities and multiple users with…

信息论 · 计算机科学 2017-08-17 Ying Cui , Wen He , Chun Ni , Chengjun Guo , Zhi 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 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

Mobile-edge computation offloading (MECO) is an emerging technology for enhancing mobiles' computation capabilities and prolonging their battery lives, by offloading intensive computation from mobiles to nearby servers such as base…

信息论 · 计算机科学 2018-07-18 Changsheng You , Yong Zeng , Rui Zhang , Kaibin Huang