Search Results - "Tun, Yan Kyaw"

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  1. 1

    Data Service Maximization in Space-Air-Ground Integrated 6G Networks by Ei, Nway Nway, Kim, Kitae, Tun, Yan Kyaw, Han, Zhu, Hong, Choong Seon

    Published in IEEE communications letters (01-11-2024)
    “…Integrating terrestrial and non-terrestrial networks has emerged as a promising paradigm to fulfill the constantly growing demand for connectivity, low…”
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  2. 2

    A Crowdsourcing Framework for On-Device Federated Learning by Pandey, Shashi Raj, Tran, Nguyen H., Bennis, Mehdi, Tun, Yan Kyaw, Manzoor, Aunas, Hong, Choong Seon

    “…Federated learning (FL) rests on the notion of training a global model in a decentralized manner. Under this setting, mobile devices perform computations on…”
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  3. 3

    Energy-Efficient Resource Management in UAV-Assisted Mobile Edge Computing by Tun, Yan Kyaw, Park, Yu Min, Tran, Nguyen H., Saad, Walid, Pandey, Shashi Raj, Hong, Choong Seon

    Published in IEEE communications letters (01-01-2021)
    “…Unmanned aerial vehicles (UAVs) have been deployed to enhance the network capacity and provide services to mobile users with or without infrastructure…”
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  4. 4

    Trajectory Optimization and Phase-Shift Design in IRS-Assisted UAV Network for Smart Railway by Park, Yu Min, Tun, Yan Kyaw, Han, Zhu, Hong, Choong Seon

    Published in IEEE transactions on vehicular technology (01-10-2022)
    “…The recent trend towards the smart transportation system has spurred the development of the smart railway. However, enabling trains with seamless wireless…”
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  5. 5

    Energy-Efficient Resource Allocation in Multi-UAV-Assisted Two-Stage Edge Computing for Beyond 5G Networks by Ei, Nway Nway, Alsenwi, Madyan, Tun, Yan Kyaw, Han, Zhu, Hong, Choong Seon

    “…Unmanned aerial vehicle (UAV)-assisted multi-access edge computing (MEC) has become one promising solution for energy-constrained devices to run the…”
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  6. 6

    Wireless Network Slicing: Generalized Kelly Mechanism-Based Resource Allocation by Tun, Yan Kyaw, Tran, Nguyen H., Ngo, Duy Trong, Pandey, Shashi Raj, Han, Zhu, Hong, Choong Seon

    “…Wireless network slicing (i.e., network virtualization) is one of the potential technologies for addressing the issue of rapidly growing demand in mobile data…”
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  7. 7

    An Incentive Mechanism for Federated Learning in Wireless Cellular Networks: An Auction Approach by Thi Le, Tra Huong, Tran, Nguyen H., Tun, Yan Kyaw, Nguyen, Minh N. H., Pandey, Shashi Raj, Han, Zhu, Hong, Choong Seon

    “…Federated Learning (FL) is a distributed learning framework that can deal with the distributed issue in machine learning and still guarantee high learning…”
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  8. 8

    Deep Reinforcement Learning for Channel Estimation in RIS-Aided Wireless Networks by Kim, Kitae, Tun, Yan Kyaw, Munir, Md. Shirajum, Saad, Walid, Hong, Choong Seon

    Published in IEEE communications letters (01-08-2023)
    “…Accurate channel estimation and allocation are vital in the provision of reconfigurable intelligent surfaces (RIS)-aided wireless network services to mobile…”
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  9. 9

    SpaceRIS: LEO Satellite Coverage Maximization in 6G Sub-THz Networks by MAPPO DRL and Whale Optimization by Hassan, Sheikh Salman, Park, Yu Min, Tun, Yan Kyaw, Saad, Walid, Han, Zhu, Hong, Choong Seon

    “…Satellite systems face a significant challenge in effectively utilizing limited communication resources to meet the demands of ground network traffic,…”
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  10. 10

    Energy-Efficient Communication Networks via Multiple Aerial Reconfigurable Intelligent Surfaces: DRL and Optimization Approach by Aung, Pyae Sone, Park, Yu Min, Tun, Yan Kyaw, Han, Zhu, Hong, Choong Seon

    Published in IEEE transactions on vehicular technology (01-03-2024)
    “…In the realm of wireless communications in 5G, 6G and beyond, deploying unmanned aerial vehicle (UAV) has been an innovative approach to extend the coverage…”
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  11. 11

    Ruin Theory for User Association and Energy Optimization in Multi-Access Edge Computing by Kim, Do Hyeon, Manzoor, Aunas, Alsenwi, Madyan, Tun, Yan Kyaw, Saad, Walid, Hong, Choong Seon

    Published in IEEE transactions on vehicular technology (01-09-2023)
    “…In this correspondence, a novel framework is proposed for analyzing data offloading in a multi-access edge computing system. Specifically, a two-phase…”
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  12. 12

    Joint Trajectory and Resource Optimization of MEC-Assisted UAVs in Sub-THz Networks: A Resources-Based Multi-Agent Proximal Policy Optimization DRL With Attention Mechanism by Park, Yu Min, Hassan, Sheikh Salman, Tun, Yan Kyaw, Han, Zhu, Hong, Choong Seon

    Published in IEEE transactions on vehicular technology (01-02-2024)
    “…The use of Terahertz (THz) technology in sixth-generation (6G) networks will bring high-speed and capacity data services. But limitations like molecular…”
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  13. 13

    Collaborative Computing Services at Ground, Air, and Space: An Optimization Approach by Tun, Yan Kyaw, Kim, Ki Tae, Zou, Luyao, Han, Zhu, Dan, Gyorgy, Hong, Choong Seon

    Published in IEEE transactions on vehicular technology (01-01-2024)
    “…Multi-access edge computing (MEC)-enabled integrated space-air-ground networks have drawn much attention recently, as they can provide communication and…”
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  14. 14

    Swin Transformer-Based Dynamic Semantic Communication for Multi-User With Different Computing Capacity by Nguyen, Loc X., Tun, Ye Lin, Tun, Yan Kyaw, Nguyen, Minh N. H., Zhang, Chaoning, Han, Zhu, Seon Hong, Choong

    Published in IEEE transactions on vehicular technology (01-06-2024)
    “…Semantic communication has gained significant attention from researchers as a promising technique to replace conventional communication in the next generation…”
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  15. 15

    A Business Model for Resource Sharing in Cell-Free UAVs-Assisted Wireless Networks by Tun, Yan Kyaw, Park, Yu Min, Le, Tra Huong Thi, Han, Zhu, Hong, Choong Seon

    Published in IEEE transactions on vehicular technology (01-08-2022)
    “…Unmanned aerial vehicles (UAVs) are widely deployed to enhance the wireless network capacity and to provide communication services to mobile users beyond the…”
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  16. 16

    Intelligent EV Charging for Urban Prosumer Communities: An Auction and Multi-Agent Deep Reinforcement Learning Approach by Zou, Luyao, Munir, Md. Shirajum, Tun, Yan Kyaw, Kang, Seokwon, Hong, Choong Seon

    “…Recently, the deployment of electric vehicles supply equipment (EVSE) and its market is expanding rapidly to support the massive penetration of electric…”
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  17. 17

    Imbalance Cost-Aware Energy Scheduling for Prosumers Towards UAM Charging: A Matching and Multi-Agent DRL Approach by Zou, Luyao, Munir, Md. Shirajum, Hassan, Sheikh Salman, Tun, Yan Kyaw, Nguyen, Loc X., Hong, Choong Seon

    Published in IEEE transactions on vehicular technology (01-03-2024)
    “…In this paper, an energy scheduling problem is formulated for the prosumer-based urban area, where prosumers are regarded as the drone charging stations for…”
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  18. 18

    Dependency Tasks Offloading and Communication Resource Allocation in Collaborative UAV Networks: A Metaheuristic Approach by Nguyen, Loc X., Tun, Yan Kyaw, Dang, Tri Nguyen, Park, Yu Min, Han, Zhu, Hong, Choong Seon

    Published in IEEE internet of things journal (15-05-2023)
    “…Nowadays, unmanned aerial vehicles (UAVs)-assisted mobile-edge computing (MEC) systems have been exploited as a promising solution for providing computation…”
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  19. 19

    Collaboration in the Sky: A Distributed Framework for Task Offloading and Resource Allocation in Multi-Access Edge Computing by Tun, Yan Kyaw, Dang, Tri Nguyen, Kim, Kitae, Alsenwi, Madyan, Saad, Walid, Hong, Choong Seon

    Published in IEEE internet of things journal (01-12-2022)
    “…Recently, unmanned aerial vehicles (UAVs)-assisted multi-access edge computing (MEC) systems emerged as a promising solution for providing computation services…”
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  20. 20

    Aerial STAR-RIS Empowered MEC: A DRL Approach for Energy Minimization by Aung, Pyae Sone, Nguyen, Loc X., Tun, Yan Kyaw, Han, Zhu, Hong, Choong Seon

    Published in IEEE wireless communications letters (01-05-2024)
    “…Multi-access Edge Computing (MEC) addresses computational and battery limitations in devices by allowing them to offload computation tasks. To overcome the…”
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