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John C. Ruelas - IEEE Xplore Author Profile

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Author details

John C. Ruelas

Publications

1

Citations

28

Publications by Year

20182018

Co-Authors:

Alyssa B. ApselJoannalyn DelacruzCarlos I. Dorta-QuiñonesMeng HuangManfred Lindau

Show All Co-Authors (6)

John C. Ruelas

Affiliation

School of Applied and Engineering Physics

Cornell University

Ithaca, NY, USA

Publication Topics

Application Of Voltage,
Array Detector,
Background Current,
Bidirectional Current,
Black Trace,
Carbon Fiber,
Chromaffin Cells,
Current Mirror,
Cyclic Voltammetry,
Dominant Noise Source,
Electrode Impedance,
Fast-scan Cyclic Voltammetry

Biography

John C. Ruelas is currently working toward the B.Eng. degree in electrical and computer engineering at Cornell University, Ithaca, NY, USA. He was with a nonprofit organization, where he designed platforms to teach students about various engineering disciplines. He is currently with ExoCytronics LLC, Columbia, MO, USA, where he is working on data acquisition hardware and software for electrochemical sensor arrays. His research interests include mixed-signal circuit design, electrophysiology, and bioelectronics.(Based on document published on 15 May 2018).

Publications

1

Citations

28

Publications by Year

20182018

Co-Authors:

Alyssa B. Apsel
Joannalyn Delacruz
Carlos I. Dorta-Quiñones
Meng Huang
Manfred Lindau

Show All Co-Authors (6)

Author's Published Works

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Showing 1-25 of 27 results

Journals (23)

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School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha, China(20)
School of Computer Science and Engineering, Central South University, Changsha, China(7)
Key Laboratory of Intelligent Information Perception and Processing Technology (Hunan Province), Zhuzhou, China(3)
College of Computer and Mathematics, Central South University of Forestry and Technology, Changsha, China(3)
School of Information Science and Engineering, Central South University, Changsha, China(3)
IEEE Internet of Things Journal(6)
IEEE Transactions on Vehicular Technology(4)
IEEE/ACM Transactions on Computational Biology and Bioinformatics(3)
IEEE Transactions on Industrial Informatics(2)
IEEE Transactions on Wireless Communications(2)
IEEE(27)
Hangzhou, China(1)
Ningbo, China(1)
Shanghai, China(1)
Zhangjiajie, China(1)
Energy Consumption(17)
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Edge Computing(15)
Task Offloading(15)
Mobile Edge Computing(13)

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Security Offloading Scheduling and Caching Optimization Algorithm in UAV Edge Computing

Jianli Qiu;Zhufang Kuang;Zhenqi Huang;Siyu Lin

IEEE Systems Journal

Year: 2025 | Volume: 19, Issue: 1 | Journal Article |

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Mobile edge computing, a prospective wireless communication framework, can contribute to offload a large number of tasks to unmanned aerial vehicle (UAV) mobile edge servers. Besides, the demand for server computational resources increasingly ascends as the volume of processing tasks grows. However, in reality, many devices have similar computing tasks and require the same computing data. Therefor...Show More

Security Offloading Scheduling and Caching Optimization Algorithm in UAV Edge Computing

Jianli Qiu;Zhufang Kuang;Zhenqi Huang;Siyu Lin

IEEE Systems Journal

Year: 2025 | Volume: 19, Issue: 1 | Journal Article |

Task Offloading and Resource Allocation in UAV-Assisted Vehicle Platoon System

Peng Zhao;Zhufang Kuang;Yujing Guo;Fen Hou

IEEE Transactions on Vehicular Technology

Year: 2025 | Volume: 74, Issue: 1 | Journal Article |

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Vehicle platooning is a key application in the realm of smart connected vehicles and autonomous driving technologies, holding significant potential to enhance road utilization and save energy consumption. Simultaneously, within intelligent transportation systems, the limited computing resources of vehicle users themselves fail to meet the computational demands of various new applications. Therefor...Show More

Task Offloading and Resource Allocation in UAV-Assisted Vehicle Platoon System

Peng Zhao;Zhufang Kuang;Yujing Guo;Fen Hou

IEEE Transactions on Vehicular Technology

Year: 2025 | Volume: 74, Issue: 1 | Journal Article |

Reinforcement Learning based Edge Offloading Strategy for Port Infrastructure States Monitoring

Jingzhe Wang;Qingqing Pan;Ziqi Liu;I Yunlong Lu;Songgui Chen;Zhufang Kuang;Siyu Lin

2024 IEEE/CIC International Conference on Communications in China (ICCC Workshops)

Year: 2024 | Conference Paper |

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It is necessary to establish an edge computing system to provide computing power for latency sensitive monitoring data process task of port infrastructure states monitoring sys-tem. Considering the difference between power supply mode of onshore and offshore edge computing servers in port, an edge computing system architecture for port infrastructure monitoring is designed. The monitoring devices ...Show More

Reinforcement Learning based Edge Offloading Strategy for Port Infrastructure States Monitoring

Jingzhe Wang;Qingqing Pan;Ziqi Liu;I Yunlong Lu;Songgui Chen;Zhufang Kuang;Siyu Lin

2024 IEEE/CIC International Conference on Communications in China (ICCC Workshops)

Year: 2024 | Conference Paper |

HAT: Task Offloading and Resource Allocation in RIS-Assisted Collaborative Edge Computing

Lin Tan;Songtao Guo;Pengzhan Zhou;Zhufang Kuang;Xianlong Jiao

IEEE Transactions on Network Science and Engineering

Year: 2024 | Volume: 11, Issue: 5 | Journal Article |

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The problem of joint offloading decisions, resource allocation, and Reconfigurable Intelligent Surface (RIS) beamforming matrices for RIS-Assisted Edge Computing is a challenging issue. In this paper, user tasks can be either executed locally, or offloaded to a collaborative device or edge server with the assistance of the RIS, where RIS elements are grouped and assigned to all users to enable par...Show More

HAT: Task Offloading and Resource Allocation in RIS-Assisted Collaborative Edge Computing

Lin Tan;Songtao Guo;Pengzhan Zhou;Zhufang Kuang;Xianlong Jiao

IEEE Transactions on Network Science and Engineering

Year: 2024 | Volume: 11, Issue: 5 | Journal Article |

Task Offloading and Trajectory Optimization for Secure Communications in Dynamic User Multi-UAV MEC Systems

Yuhao Zhang;Zhufang Kuang;Yanyan Feng;Fen Hou

IEEE Transactions on Mobile Computing

Year: 2024 | Volume: 23, Issue: 12 | Journal Article |

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With the advantages of high mobility and flexible deployment, Unmanned Aerial Vehicle (UAV) combines with Mobile Edge Computing (MEC) is a promising technology. When dynamic Terminal Users (TUs) offload tasks to UAVs, eavesdroppers may eavesdrop on the channel information. The offloading decisions, trajectory plannings of UAVs and resource allocation with the objective of high-capacity secure comm...Show More

Task Offloading and Trajectory Optimization for Secure Communications in Dynamic User Multi-UAV MEC Systems

Yuhao Zhang;Zhufang Kuang;Yanyan Feng;Fen Hou

IEEE Transactions on Mobile Computing

Year: 2024 | Volume: 23, Issue: 12 | Journal Article |

Multi-UAV-Enabled Collaborative Edge Computing: Deployment, Offloading and Resource Optimization

Lin Tan;Songtao Guo;Pengzhan Zhou;Zhufang Kuang;Saiqin Long;Zhetao Li

IEEE Transactions on Intelligent Transportation Systems

Year: 2024 | Volume: 25, Issue: 11 | Journal Article |

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Unmanned aerial vehicle (UAV) edge computing systems provide easy-to-deploy and low-cost services at those areas with inadequate infrastructure by deploying UAVs as moving edge servers for large-scale users. However, user devices are generally distributed unevenly in a large area, which makes it difficult for existing efforts to cope with this realistic scenario for optimal deployment of UAVs. The...Show More

Multi-UAV-Enabled Collaborative Edge Computing: Deployment, Offloading and Resource Optimization

Lin Tan;Songtao Guo;Pengzhan Zhou;Zhufang Kuang;Saiqin Long;Zhetao Li

IEEE Transactions on Intelligent Transportation Systems

Year: 2024 | Volume: 25, Issue: 11 | Journal Article |

Energy-Efficient Joint Trajectory and Reflecting Design in IRS-Enabled UAV Edge Computing

Zhenqi Huang;Zhufang Kuang;Siyu Lin;Fen Hou;Anfeng Liu

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 12 | Journal Article |

Cited by: Papers (2)

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Intelligent reflecting surface (IRS) enabled unmanned aerial vehicle (UAV) edge computing, a new communication technology, can provide sufficient capacity for edge computing system. However, due to the line-of-sight or the non line of sight of communicating environments will impact transmitting rate or delay, the IRS can be utilized to compensate the channel fading in the IRS-enabled UAV edge comp...Show More

Energy-Efficient Joint Trajectory and Reflecting Design in IRS-Enabled UAV Edge Computing

Zhenqi Huang;Zhufang Kuang;Siyu Lin;Fen Hou;Anfeng Liu

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 12 | Journal Article |

Utility-Aware UAV Deployment and Task Offloading in Multi-UAV Edge Computing Networks

Zhufang Kuang;Haobin Wang;Jie Li;Fen Hou

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 8 | Journal Article |

Cited by: Papers (5)

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Unmanned aerial vehicle (UAV)-enabled mobile-edge computing (MEC) is expected to provide low-latency, ultrareliable, and highly robust network services to improve user service experience. In this article, the UAV deployment, task offloading, and resource allocation problem is investigated in a multi-UAV-enabled MEC system with task-intensive region. UAVs as edge servers to provide computing servic...Show More

Utility-Aware UAV Deployment and Task Offloading in Multi-UAV Edge Computing Networks

Zhufang Kuang;Haobin Wang;Jie Li;Fen Hou

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 8 | Journal Article |

Joint Task Offloading Scheduling and Resource Allocation in Air–Ground Cooperation UAV-Enabled Mobile Edge Computing

Zhufang Kuang;Yihui Pan;Fan Yang;Yan Zhang

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 4 | Journal Article |

Cited by: Papers (2)

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Unmanned Aerial Vehicles (UAVs) are heavily used in disaster or emergency scenarios. In this paper, we investigate the joint problem of task offloading, task scheduling, transmission power and computing resources allocation, and optimization of UAV deployment location for UAV-enabled Mobile Edge Computing (MEC), considering and highlighting the order of execution and transmission of different task...Show More

Joint Task Offloading Scheduling and Resource Allocation in Air–Ground Cooperation UAV-Enabled Mobile Edge Computing

Zhufang Kuang;Yihui Pan;Fan Yang;Yan Zhang

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 4 | Journal Article |

Computation Efficiency Maximization in Multi-UAV-Enabled Mobile Edge Computing Systems Based on 3D Deployment Optimization

Xiaoheng Deng;Jiahao Zhao;Zhufang Kuang;Xuechen Chen;Qi Guo;Fengxiao Tang

IEEE Transactions on Emerging Topics in Computing

Year: 2023 | Volume: 11, Issue: 3 | Journal Article |

Cited by: Papers (10)

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Unmanned aerial vehicles (UAVs) have been widely devoted to mobile edge computing (MEC) systems that have limited resources to provide high-quality computing and communication services for Internet of Things (IoT) terminals. Energy-efficient computation and resource allocation are key issues for the sustainable operation of the above-mentioned systems. The 3D deployment optimization of multi-UAVs ...Show More

Computation Efficiency Maximization in Multi-UAV-Enabled Mobile Edge Computing Systems Based on 3D Deployment Optimization

Xiaoheng Deng;Jiahao Zhao;Zhufang Kuang;Xuechen Chen;Qi Guo;Fengxiao Tang

IEEE Transactions on Emerging Topics in Computing

Year: 2023 | Volume: 11, Issue: 3 | Journal Article |

NGCICM: A Novel Deep Learning-Based Method for Predicting circRNA-miRNA Interactions

Zhihao Ma;Zhufang Kuang;Lei Deng

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Year: 2023 | Volume: 20, Issue: 5 | Journal Article |

Cited by: Papers (2)

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The circRNAs and miRNAs play an important role in the development of human diseases, and they can be widely used as biomarkers of diseases for disease diagnosis. In particular, circRNAs can act as sponge adsorbers for miRNAs and act together in certain diseases. However, the associations between the vast majority of circRNAs and diseases and between miRNAs and diseases remain unclear. Computationa...Show More

NGCICM: A Novel Deep Learning-Based Method for Predicting circRNA-miRNA Interactions

Zhihao Ma;Zhufang Kuang;Lei Deng

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Year: 2023 | Volume: 20, Issue: 5 | Journal Article |

Joint Offloading Decision and Trajectory Design for UAV-Enabled Edge Computing With Task Dependency

Bin Xu;Zhufang Kuang;Jie Gao;Lian Zhao;Chutian Wu

IEEE Transactions on Wireless Communications

Year: 2023 | Volume: 22, Issue: 8 | Journal Article |

Cited by: Papers (19)

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In this paper, we investigate the joint problem of task offloading, Unmanned Aerial Vehicle (UAV) trajectory design, and resource allocation for UAV-enabled edge computing, considering and highlighting the dependency among different tasks. The corresponding optimization problem, which is a mixed-integer problem, is formulated. To solve this problem, we propose an iterative method based on Block Co...Show More

Joint Offloading Decision and Trajectory Design for UAV-Enabled Edge Computing With Task Dependency

Bin Xu;Zhufang Kuang;Jie Gao;Lian Zhao;Chutian Wu

IEEE Transactions on Wireless Communications

Year: 2023 | Volume: 22, Issue: 8 | Journal Article |

Joint Offloading Scheduling and Resource Allocation in Vehicular Edge Computing: A Two Layer Solution

Jian Gao;Zhufang Kuang;Jie Gao;Lian Zhao

IEEE Transactions on Vehicular Technology

Year: 2023 | Volume: 72, Issue: 3 | Journal Article |

Cited by: Papers (30)

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Vehicular Edge Computing (VEC) is a promising paradigm for autonomous driving. It can reduce delay and energy consumption of tasks. The problem of joint task offloading scheduling and resource allocation in VEC is a challenge issue. In this paper, we investigate the problem of joint task offloading, task scheduling, and resource allocation in VEC, and the fast changing channel between a vehicle an...Show More

Joint Offloading Scheduling and Resource Allocation in Vehicular Edge Computing: A Two Layer Solution

Jian Gao;Zhufang Kuang;Jie Gao;Lian Zhao

IEEE Transactions on Vehicular Technology

Year: 2023 | Volume: 72, Issue: 3 | Journal Article |

Energy-Efficient Collaborative Multi-Access Edge Computing via Deep Reinforcement Learning

Lin Tan;Zhufang Kuang;Jie Gao;Lian Zhao

IEEE Transactions on Industrial Informatics

Year: 2023 | Volume: 19, Issue: 6 | Journal Article |

Cited by: Papers (21)

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The joint problem of task offloading, collaborative computing, and resource allocation for multi-access edge computing (MEC) is a challenging issue. In this article, splitting computing tasks at MEC servers through collaboration among MEC servers and a cloud server, we investigate the joint problem of collaborative task offloading and resource allocation. A collaborative task offloading, computing...Show More

Energy-Efficient Collaborative Multi-Access Edge Computing via Deep Reinforcement Learning

Lin Tan;Zhufang Kuang;Jie Gao;Lian Zhao

IEEE Transactions on Industrial Informatics

Year: 2023 | Volume: 19, Issue: 6 | Journal Article |

GCNPCA: miRNA-Disease Associations Prediction Algorithm Based on Graph Convolutional Neural Networks

Jiwen Liu;Zhufang Kuang;Lei Deng

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Year: 2023 | Volume: 20, Issue: 2 | Journal Article |

Cited by: Papers (3)

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A growing number of studies have confirmed the important role of microRNAs (miRNAs) in human diseases and the aberrant expression of miRNAs affects the onset and progression of human diseases. The discovery of disease-associated miRNAs as new biomarkers promote the progress of disease pathology and clinical medicine. However, only a small proportion of miRNA-disease correlations have been validate...Show More

GCNPCA: miRNA-Disease Associations Prediction Algorithm Based on Graph Convolutional Neural Networks

Jiwen Liu;Zhufang Kuang;Lei Deng

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Year: 2023 | Volume: 20, Issue: 2 | Journal Article |

Energy-Efficient Joint Task Offloading and Resource Allocation in OFDMA-Based Collaborative Edge Computing

Lin Tan;Zhufang Kuang;Lian Zhao;Anfeng Liu

IEEE Transactions on Wireless Communications

Year: 2022 | Volume: 21, Issue: 3 | Journal Article |

Cited by: Papers (108)

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Mobile edge computing (MEC) is an emergent architecture, which brings computation and storage resources to the edge of mobile network and provides rich services and applications near the end users. The joint problem of task offloading and resource allocation in the multi-user collaborative mobile edge computing network (C-MEC) based on Orthogonal Frequency-Division Multiple Access (OFDMA) is a cha...Show More

Energy-Efficient Joint Task Offloading and Resource Allocation in OFDMA-Based Collaborative Edge Computing

Lin Tan;Zhufang Kuang;Lian Zhao;Anfeng Liu

IEEE Transactions on Wireless Communications

Year: 2022 | Volume: 21, Issue: 3 | Journal Article |

MSCNE:Predict miRNA-Disease Associations Using Neural Network Based on Multi-Source Biological Information

Genwei Han;Zhufang Kuang;Lei Deng

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Year: 2022 | Volume: 19, Issue: 5 | Journal Article |

Cited by: Papers (7)

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The important role of microRNA (miRNA) in human diseases has been confirmed by some studies. However, only using biological experiments has greater blindness, leading to higher experimental costs. In this paper a high-efficiency algorithm based on a variety of biological source information and applying a combination of a convolutional neural network (CNN) feature extractor and an extreme learning ...Show More

MSCNE:Predict miRNA-Disease Associations Using Neural Network Based on Multi-Source Biological Information

Genwei Han;Zhufang Kuang;Lei Deng

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Year: 2022 | Volume: 19, Issue: 5 | Journal Article |

Multiuser Computation Offloading and Resource Allocation for Cloud–Edge Heterogeneous Network

Qinglin Chen;Zhufang Kuang;Lian Zhao

IEEE Internet of Things Journal

Year: 2022 | Volume: 9, Issue: 5 | Journal Article |

Cited by: Papers (43)

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Cloud–edge heterogeneous network is an emerging technique built on edge infrastructure, which is based on the core of cloud computing technology and edge computing capabilities. The joint problem of computation offloading, cache decision, and resource allocation for cloud–edge heterogeneous network system is a challenging issue. In this article, we investigate the joint problem of computation offl...Show More

Multiuser Computation Offloading and Resource Allocation for Cloud–Edge Heterogeneous Network

Qinglin Chen;Zhufang Kuang;Lian Zhao

IEEE Internet of Things Journal

Year: 2022 | Volume: 9, Issue: 5 | Journal Article |

Correlation Dimension Based Stability Analysis for Cyber-Physical Systems

Fan Yang;Jing Huang;Renfa Li;Zhufang Kuang;Guoqi Xie

IEEE Transactions on Industrial Informatics

Year: 2022 | Volume: 18, Issue: 2 | Journal Article |

Cited by: Papers (3)

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Cyber-physical systems (CPSs) realize the automatic control of entities through computing systems and networks. Stability is an important factor in CPS for system upgrading and troubleshooting. Traditional analysis methods focus on simulation and formal analysis, which have two major limitations: first, the current state information of CPS is difficult to obtain; second, most CPS face the state sp...Show More

Correlation Dimension Based Stability Analysis for Cyber-Physical Systems

Fan Yang;Jing Huang;Renfa Li;Zhufang Kuang;Guoqi Xie

IEEE Transactions on Industrial Informatics

Year: 2022 | Volume: 18, Issue: 2 | Journal Article |

Energy- and Spectral-Efficiency Tradeoff With $\alpha$-Fairness in Energy Harvesting D2D Communication

Zhufang Kuang;Libang Zhang;Lian Zhao

IEEE Transactions on Vehicular Technology

Year: 2020 | Volume: 69, Issue: 9 | Journal Article |

Cited by: Papers (25)

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Energy Harvesting (EH) technology enables Device-to-Device (D2D) User Equipments (DUEs) to harvest energy from ambient energy, making contributions to green communications and breaking the single battery-powered and the regional limitations of device deployment. The joint problem of energy harvesting and resource allocation in EH-based D2D Communication Networks (EH-DCNs) is a challenge issue. In ...Show More

Energy- and Spectral-Efficiency Tradeoff With $\alpha$-Fairness in Energy Harvesting D2D Communication

Zhufang Kuang;Libang Zhang;Lian Zhao

IEEE Transactions on Vehicular Technology

Year: 2020 | Volume: 69, Issue: 9 | Journal Article |

Routing Algorithm Based on Vehicle Position Analysis for Internet of Vehicles

Lei-Lei Wang;Jin-Song Gui;Xiao-Heng Deng;Feng Zeng;Zhu-Fang Kuang

IEEE Internet of Things Journal

Year: 2020 | Volume: 7, Issue: 12 | Journal Article |

Cited by: Papers (76)

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Geographic routing is a research hotspot of the Internet of Vehicles (IoV) and intelligent traffic system (ITS). In practice, the vehicle movement is not only affected by its characteristics and the relationship between the vehicle and position but also affected by some implicit factors. Pointing to this problem, we combine the vehicle moving position probability matrix, the vehicle position assoc...Show More

Routing Algorithm Based on Vehicle Position Analysis for Internet of Vehicles

Lei-Lei Wang;Jin-Song Gui;Xiao-Heng Deng;Feng Zeng;Zhu-Fang Kuang

IEEE Internet of Things Journal

Year: 2020 | Volume: 7, Issue: 12 | Journal Article |

Mode Selection and Resource Allocation Algorithm in Energy-Harvesting D2D Heterogeneous Network

Jie Yan;Zhufang Kuang;Fan Yang;Xiaoheng Deng

Year: 2019 | Volume: 7 | Journal Article |

Cited by: Papers (18)

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With the rapid increase of smart mobile devices and the improvement of people’s demand for wireless communication, the insufficient system capacity and shortage of spectrum resources is gradually emerging. The current wireless communication technology is facing enormous challenges. Device-to-Device (D2D) technology has become a key technology in the future 5G network, with its flexible working mod...Show More

Mode Selection and Resource Allocation Algorithm in Energy-Harvesting D2D Heterogeneous Network

Jie Yan;Zhufang Kuang;Fan Yang;Xiaoheng Deng

Year: 2019 | Volume: 7 | Journal Article |

Energy Efficient D2D Mode Selection and Resource Allocation in Multiple Cellular Systems

Zhufang Kuang;GongQiang Li;Libang Zhang;Huibin Zhou;Changyun Li;Anfeng Liu

2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)

Year: 2019 | Conference Paper |

Cited by: Papers (2)

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The mode selection and resource allocation are important issues in device-to-device (D2D) communication. There are very little research works considering the joint problem of base station selection and load balance of base station with mode selection and base station selection in multiple BSs cellular systems or heterogeneous cellular systems, which is a challenging issue. In this paper, the joint...Show More

Energy Efficient D2D Mode Selection and Resource Allocation in Multiple Cellular Systems

Zhufang Kuang;GongQiang Li;Libang Zhang;Huibin Zhou;Changyun Li;Anfeng Liu

2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)

Year: 2019 | Conference Paper |

Energy Efficient and Low Delay Partial Offloading Scheduling and Power Allocation for MEC

Linfeng Li;Zhufang Kuang;Anfeng Liu

ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

Year: 2019 | Conference Paper |

Cited by: Papers (15)

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Mobile edge computing (MEC) is a promising technique to enhance the computation capacity at the edge of mobile networks. The joint problem of partial offloading decision, offloading scheduling and resource allocation for MEC systems is a challenge issue. In this paper, we investigate the problem of partial offloading scheduling and resource allocation for mobile edge computing systems with multipl...Show More

Energy Efficient and Low Delay Partial Offloading Scheduling and Power Allocation for MEC

Linfeng Li;Zhufang Kuang;Anfeng Liu

ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

Year: 2019 | Conference Paper |

Partial Offloading Scheduling and Power Allocation for Mobile Edge Computing Systems

Zhufang Kuang;Linfeng Li;Jie Gao;Lian Zhao;Anfeng Liu

IEEE Internet of Things Journal

Year: 2019 | Volume: 6, Issue: 4 | Journal Article |

Cited by: Papers (237)

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Mobile edge computing (MEC) is a promising technique to enhance computation capacity at the edge of mobile networks. The joint problem of partial offloading decision, offloading scheduling, and resource allocation for MEC systems is a challenging issue. In this paper, we investigate the joint problem of partial offloading scheduling and resource allocation for MEC systems with multiple independent...Show More

Partial Offloading Scheduling and Power Allocation for Mobile Edge Computing Systems

Zhufang Kuang;Linfeng Li;Jie Gao;Lian Zhao;Anfeng Liu

IEEE Internet of Things Journal

Year: 2019 | Volume: 6, Issue: 4 | Journal Article |

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