IEEE

Quantum Computing Through the Lens of Control: A Tutorial Introduction

Abstract: Quantum computing is a fascinating interdisciplinary research field that promises to revolutionize computing by efficiently solving previously intractable problems. Recent years have seen ...
IEEE

A Novel Program-verify Free and Low Drift Multilevel Operation on Cross-point OTS-PCM for In-Memory Computing Application

Abstract: We present a novel multi-level operation using multi cells on a cross-point OTS-PCM array with no need for program-verify scheme for the first time. This method can provide not only program ...
IEEE

A Method for Service Function Chain Migration Based on Server Failure Prediction in Mobile Edge Computing Environment

Abstract: Mobile Edge Computing (MEC) is a key technology for delivering low-latency services to mobile and edge devices, supporting applications like autonomous vehicles and smart cities. However, ...
IEEE

Knowledge-Aware Parameter Coaching for Communication-Efficient Personalized Federated Learning in Mobile Edge Computing

Abstract: Personalized Federated Learning (pFL) can improve the accuracy of local models and provide enhanced edge intelligence without exposing the raw data in Mobile Edge Computing (MEC). However, ...
IEEE

Deep Reinforcement Learning-Based Computation Offloading for Mobile Edge Computing in 6G

Abstract: The impending 6G network is envisioned to seamlessly interconnect a myriad of consumer electronics (CEs), facilitating a wide array of applications accessible from any location and at any ...
IEEE

Age-of-Information Analysis for Blockchain-Based Mobile Edge Computing

Abstract: Mobile edge computing (MEC) has emerged as a disruptive paradigm that facilitates effective offloading from clouds and enables processing tasks near users. With the surge of mobile data ...
IEEE

Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning Approach

Abstract: With the rapid development of Mobile Edge Computing (MEC), various real-time applications have been deployed to benefit people's daily lives. The performance of these applications relies ...
IEEE

Mixed-Precision Neural Architecture Search and Dynamic Split Point Selection for Split Computing

Abstract: Split computing (SC) is an emerging technique to perform the inference task of deep neural network (DNN) models using both mobile devices and cloud/edge servers in a hybrid manner. To ...
IEEE

Personalized Computation Offloading and Service Caching for Mobile Edge Computing in Heterogeneous Networks

Abstract: With the rapid advancement of Internet of Things (IoT), there is a growing demand for intelligent applications with varying requirements (e.g. delay, reliability, and energy). Mobile Edge ...
IEEE

UAV-Assisted Mobile Edge Computing: Optimal Design of UAV Altitude and Task Offloading

Abstract: This paper investigates a mobile edge computing (MEC) network assisted by an unmanned aerial vehicle (UAV), where the moving UAV and a fixed ground base station cooperatively provide MEC ...
IEEE

QECO: A QoE-Oriented Computation Offloading Algorithm Based on Deep Reinforcement Learning for Mobile Edge Computing

Abstract: In the realm of mobile edge computing (MEC), efficient computation task offloading plays a pivotal role in ensuring a seamless quality of experience (QoE) for users. Maintaining a high QoE ...
IEEE

Multi-UAV-Assisted Offloading for Joint Optimization of Energy Consumption and Latency in Mobile Edge Computing

Abstract: To address the performance limitations caused by the insufficient computing capacity and energy of edge internet of things devices (IoTDs), we proposed a multi-unmanned aerial vehicles (UAV) ...