Mingfang Ma

Intelligent Framework for Multi-UAV-Enabled Joint Offloading Service and Trajectory Planning in MEC

Mingfang Ma, Zhengming Wang, Jiying Liu

Unmanned aerial vehicles (UAVs) have a pivotal role in mobile edge computing (MEC) applications. In a UAV-based MEC framework, data generated by user equipments (UEs) on the ground can be offloaded to servers carried by the UAVs for expedited processing. Nonetheless, the …

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Optimizing AoI in IoT Networks: UAV-Assisted Data Processing Framework Integrating Cloud–Edge Computing

Mingfang Ma, Zhengming Wang

Due to the swift development of the Internet of Things (IoT), massive advanced terminals such as sensor nodes have been deployed across diverse applications to sense and acquire surrounding data. Given their limited onboard capabilities, these terminals tend to offload data to …

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Cloud–Edge Framework for AoI-Efficient Data Processing in Multi-UAV-Assisted Sensor Networks

Mingfang Ma, Zhengming Wang, Songtao Guo, Huimin Lu

Cloud and edge computing paradigms are increasingly being applied to data processing for Internet of Things (IoT) sensors. Meanwhile, unmanned aerial vehicles (UAVs) can assist these sensor systems in data acquisition, especially in smart applications such as environmental monitoring and smart agriculture, …

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DELOFF: Decentralized Learning-Based Task Offloading for Multi-UAVs in U2X-Assisted Heterogeneous Networks

Anqi Zhu, Huimin Lu, Mingfang Ma, Zongtan Zhou et autres

With multi-sensors embedded, flexible unmanned aerial vehicles (UAVs) can collect sensory data and provide various services for all walks of life. However, limited computing capability and battery energy put a great burden on UAVs to handle emerging compute-intensive applications, necessitating them to …

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SyRoC: Symbiotic robotics for QoS-aware heterogeneous applications in IoT-edge-cloud computing paradigm

Anqi Zhu, Huimin Lu, Songtao Guo, Zhiwen Zeng et autres

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Game-theoretic robotic offloading via multi-agent learning for agricultural applications in heterogeneous networks

Anqi Zhu, Zhiwen Zeng, Songtao Guo, Huimin Lu et autres

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Distributed Offloading for Multi-UAV Swarms in MEC-Assisted 5G Heterogeneous Networks

Mingfang Ma, Zhengming Wang

Mobile edge computing (MEC) is a novel paradigm that offers numerous possibilities for Internet of Things (IoT) applications. In typical use cases, unmanned aerial vehicles (UAVs) that can be applied to monitoring and logistics have received wide attention. However, subject to their …

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Adaptive Access Selection Algorithm for Multi-Service in 5G Heterogeneous Internet of Things

Anqi Zhu, Mingfang Ma, Songtao Guo, Yuanyuan Yang

5G heterogeneous network system incorporates multiple radio access technologies (RATs), which enables the massive connection of Internet of things (IoT) devices and popularity of diverse IoT services. However, with the tremendous growth of IoT connections, personalization of service requirements and deepening of …

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Intelligent Network Selection Algorithm for Multiservice Users in 5G Heterogeneous Network System: Nash Q-Learning Method

Mingfang Ma, Anqi Zhu, Songtao Guo, Yuanyuan Yang

The 5G heterogeneous network architecture integrates different radio access technologies (RATs), which will support the large-scale communication connection of massive Internet-of-Things (IoT) devices. However, as the rapid growth of IoT connections, personalized requirements of services requested and heterogeneity deepening of the network …

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Adaptive Multi-Access Algorithm for Multi-Service Edge Users in 5G Ultra-Dense Heterogeneous Networks

Anqi Zhu, Mingfang Ma, Songtao Guo, Shui Yu et autres

In the 5G ultra-dense wireless heterogeneous network system, it is a crucial issue to implement an effective network selection strategy to satisfy the demands of massive edge users and novel 5G services. In this paper, we model the network selection problem of …

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i5GAccess: Nash Q-learning Based Multi-Service Edge Users Access in 5G Heterogeneous Networks

Anqi Zhu, Songtao Guo, Mingfang Ma

In the heterogeneous wireless networks, it remains a significant challenge to achieve an efficient network selection strategy to satisfy the demands of a massive number of edge users and novel 5G services. In this paper, we formulate the network selection problem for …

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Heterogeneous network selection algorithm for novel 5G services based on evolutionary game

Mingfang Ma, Anqi Zhu, Songtao Guo, Xiaoqian Wang et autres

The network selection in heterogeneous wireless networks is considered as a crucial technology to take advantage of network resource in the coming fifth‐generation (5G) mobile networks. Considering the emergence of 5G novel services and the guarantee of quality of service requirements, in …

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