Search Results - "Ho, Tai Manh"
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Mobility-Aware Computation Offloading in MEC-Based Vehicular Wireless Networks
Published in IEEE communications letters (01-02-2020)“…We study the mobility-aware computation offloading design for mobile edge computing (MEC) based vehicular wireless networks which considers random mobility of…”
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Journal Article -
2
Hierarchical Matching Game for Service Selection and Resource Purchasing in Wireless Network Virtualization
Published in IEEE communications letters (01-01-2018)“…Wireless network virtualization is identified as one of the key enabling technologies to bring fifth-generation networks into fruition. In this letter, we…”
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Journal Article -
3
Matching Theory for Distributed User Association and Resource Allocation in Cognitive Femtocell Networks
Published in IEEE transactions on vehicular technology (01-09-2017)“…In this paper, a novel framework is proposed to jointly optimize user association and resource allocation in the uplink cognitive femtocell network (CFN). In…”
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Journal Article -
4
Computing on Wheels: A Deep Reinforcement Learning-Based Approach
Published in IEEE transactions on intelligent transportation systems (01-11-2022)“…Future generation vehicles equipped with modern technologies will impose unprecedented computational demand due to the wide adoption of compute-intensive…”
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Coordinated Device-to-Device Communication With Non-Orthogonal Multiple Access in Future Wireless Cellular Networks
Published in IEEE access (01-01-2018)“…We study the problem of user clustering and power assignment for a network comprised of cellular users and underlay device-to-device (D2D) users operating…”
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6
UAV Trajectory and Sub-channel Assignment for UAV Based Wireless Networks
Published in 2020 IEEE Wireless Communications and Networking Conference (WCNC) (01-05-2020)“…In this paper, we study the trajectory control and sub-channel assignment for unmanned aerial vehicles (UAVs) based wireless networks with wireless backhaul…”
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Conference Proceeding -
7
Game Theoretic Reinforcement Learning Framework For Industrial Internet of Things
Published in 2022 IEEE Wireless Communications and Networking Conference (WCNC) (10-04-2022)“…The fifth-generation (5G) wireless net-work provides high-rate, ultra-low latency, and high-reliability connections that can meet the industrial IoT…”
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Conference Proceeding -
8
Optimized Resource Management in Heterogeneous Wireless Networks
Published in IEEE communications letters (01-07-2016)“…The dense and pervasive deployment of wireless small cells can boost the performance of existing macrocellular networks; however, it poses significant…”
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Journal Article -
9
Power Control for Interference Management and QoS Guarantee in Heterogeneous Networks
Published in IEEE communications letters (01-08-2015)“…We consider the sum-rate optimization problem with power control for uplink transmission in a heterogeneous network (HetNet) consisting of a macrocell and…”
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10
Joint Incentive Mechanism for Paid Content Caching and Price Based Cache Replacement Policy in Named Data Networking
Published in IEEE access (01-01-2018)“…Internet traffic volume is continuing to increase rapidly. Named data networking (NDN) has been introduced to support this Internet traffic growth through…”
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Journal Article -
11
Coordinated Resource Partitioning and Data Offloading in Wireless Heterogeneous Networks
Published in IEEE communications letters (01-05-2016)“…In this letter, a game-theoretic framework is proposed for coordinating resource partitioning and data offloading in LTE-based heterogeneous networks…”
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Journal Article -
12
UAV Placement and Bandwidth Allocation for UAV Based Wireless Networks
Published in 2019 IEEE Global Communications Conference (GLOBECOM) (01-12-2019)“…In this paper, we study the problem of unmanned aerial vehicles (UAVs) placement and bandwidth allocation for wireless networks with wireless backhaul links…”
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Conference Proceeding -
13
Federated Deep Reinforcement Learning for Task Scheduling in Heterogeneous Autonomous Robotic System
Published in GLOBECOM 2022 - 2022 IEEE Global Communications Conference (04-12-2022)“…In this paper, we investigate the problem of task scheduling in automated warehouses with hetero-geneous autonomous robotic systems. We formulate the task…”
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Conference Proceeding -
14
UAV Control for Wireless Service Provisioning in Critical Demand Areas: A Deep Reinforcement Learning Approach
Published in IEEE transactions on vehicular technology (01-07-2021)“…In this paper, we investigate the problem of wireless service provisioning through a rotary-wing UAV which can serve as an aerial base station (BS) to…”
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Journal Article -
15
Federated Deep Reinforcement Learning for Task Scheduling in Heterogeneous Autonomous Robotic System
Published in IEEE transactions on automation science and engineering (01-01-2024)“…Autonomous robotics play a central role in smart logistics where robots can replace or aid humans in all kinds of tasks, such as items picking, moving, and…”
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16
In-Network Caching for Paid Contents in Content Centric Networking
Published in GLOBECOM 2017 - 2017 IEEE Global Communications Conference (01-12-2017)“…Caching is the key feature of Content Centric Networking (CCN) that allows the Internet Service Provider (ISP) to reduce network traffic crossing its network,…”
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Conference Proceeding -
17
Energy Efficiency Deep Reinforcement Learning for URLLC in 5G Mission-Critical Swarm Robotics
Published in IEEE eTransactions on network and service management (01-10-2024)“…5G network provides high-rate, ultra-low latency, and high-reliability connections in support of wireless mobile robots with increased agility for factory…”
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Journal Article -
18
Converging Game Theory and Reinforcement Learning For Industrial Internet of Things
Published in IEEE eTransactions on network and service management (01-06-2023)“…The fifth-generation (5G) wireless network provides high-rate, ultra-low latency, and high-reliability connections that can meet the Industrial Internet of…”
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Journal Article -
19
Decentralized spectrum allocation in D2D underlying cellular networks
Published in 2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS) (01-10-2016)“…The proliferation of novel network access devices and demand for high quality of service by the end users are proving to be insufficient and are straining the…”
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Conference Proceeding -
20
Deep Q-Learning for Joint Server Selection, Offloading, and Handover in Multi-access Edge Computing
Published in ICC 2021 - IEEE International Conference on Communications (01-06-2021)“…In this paper, we propose a deep reinforcement learning (DRL) based approach to solving the problem of joint server selection, task offloading and handover in…”
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Conference Proceeding