高教深耕計畫

• 雙語教學推動計畫-資電院學士班
  1140101~1141231
  

• 資電跨域與創新
  1130101~1131231
  

• 創意與創業
  1120101~1121231
  

• 以資電軸線課程為基礎深化學生跨域自學與實作能力
  1110101~1111231
  

• 創意與創業
  1110101~1111231
  

其他補助

• 桃園市政府補助「新知所網第二屆-前網01世界的電堂」活動4萬元(原始憑證回補助單位)
  1130217~1130517
  [無 , 無]

• 桃園市政府補助「新知所網，從零開始的網頁設計課程」活動4萬元(原始憑證回補助單位)
  1120415~1120617
  [無 , 無]

在職專班

• 109學年度通訊系碩士在職專班
  1090701~1100731
  

國科會計畫統計

• 藉由區塊鏈實現之物聯網多代理強化學習
  1140801~1150731
  

• 多代理人深度強化學習在V2X網路中之多樣性和擴展性議題研究
  1130801~1140731
  

• 多代理人深度強化學習在V2X網路中之多樣性和擴展性議題研究
  1120801~1130731
  

• 運用於車雲網路資源分配之多代理人深度增強式學習方法
  1110801~1120731
  [車聯網,資源分配,增強式學習,深度學習,遷移式學習,部分可觀測馬可夫模型 , V2X,resource allocation,reinforcement learning,deep learning,transfer learning,POMDP]

• 運用於車雲網路資源分配之多代理人深度增強式學習方法
  1100801~1110731
  [車聯網,資源分配,增強式學習,深度學習,遷移式學習,部分可觀測馬可夫模型 , V2X,resource allocation,reinforcement learning,deep learning,transfer learning,POMDP]

• 運用於車雲網路資源分配之多代理人深度增強式學習方法
  1090801~1100731
  [車聯網,資源分配,增強式學習,深度學習,遷移式學習,部分可觀測馬可夫模型 , V2X,resource allocation,reinforcement learning,deep learning,transfer learning,POMDP]

• 實現創新V2X車眾智慧合作共享服務的自駕車雲網的關鍵技術研究 - 子計畫二：運用於車載網路資源分配之多代理人增強式學習方法
  1080801~1090731
  [車聯網,資源分配,增強式學習,深度學習 , V2X, resource allocation, reinforcement learning, deep learning]

• 應用於行動數據分流之深度增強式學習方法
  1070801~1080731
  [5G, 機器學習, 深度學習, 增強式學習, 異質網路, 行動流量分流 , 5G, Machine Learning, Deep Learning, Reinforcement Learning, HetNets, Mobile Traffic Offloading]

• 應用於行動異質網路之學習型自最佳化研究
  1060801~1070731
  

• 應用於異質性網路行動裝置上之多路徑傳輸控制協定最佳化研究
  1050801~1060731
  

• 應用於異質性網路行動裝置上之多路徑傳輸控制協定最佳化研究
  1040801~1050731
  

產學合作計畫統計

• AR眼鏡之3D場域應用研究之二
  1131001~1140930
  [人工智慧 , AI]

• 基於視覺之輕量化高適應性室內定位方案研究
  1120615~1130930
  [室內定位,姿勢估計,機器學習 , Indoor positioning,Pose estimation,Machine learning]

• AR眼鏡之3D場域應用研究
  1120401~1130331
  [混合實境,人工智慧 , Mixed reality,artificial intelligence]

• 智慧基站管理研究分析
  1100101~1101115
  [無線資源管理,人工智慧,5G NR,small cell , wireless resource management,artificial intelligence,5G NR,small cell]

• 109年中大聯新醫院聯合研發中心計畫-應用於醫療場景中之無裝置定位技術
  1090801~1100731
  [室內定位、醫療照護 , localization, healthcare]

期刊著作

• A Learning-Based Energy-Efficient Device Grouping Mechanism for Massive Machine-Type Communication in the Context of Beyond 5G Networks
  Journal of Sensor and Actuator Networks, 13, 3, 2024-06-01
  [ access delay,B5G network,digital twin,energy consumption,Internet of Things (IoT),machine learning,massive machine-type communication (mMTC),network congestion ]

• Enhanced Multi-Task Traffic Forecasting in Beyond 5G Networks: Leveraging Transformer Technology and Multi-Source Data Fusion
  Future Internet, 16, 5, 2024-05-01
  [ convolution neural networks,data fusion,deep learning,mobile traffic forecasting,recurrent neural networks,self-organizing networks,transformer models ]

• Cross-Layer Video Synthesizing and Antenna Allocation Scheme for Multi-View Video Provisioning under Massive MIMO Networks
  IEEE Transactions on Mobile Computing, 23, 1, 327-340, 2024-01-01
  [ Massive MIMO,resource allocation,video synthesizing,virtual reality ]

• FracGM: A Fast Fractional Programming Technique for Geman-McClure Robust Estimator
  IEEE Robotics and Automation Letters, 9, 12, 11666-11673, 2024-01-01
  [ Mapping,optimal control,optimization ]

• Attention-Aided Autoencoder-Based Channel Prediction for Intelligent Reflecting Surface-Assisted Millimeter-Wave Communications
  IEEE Transactions on Green Communications and Networking, 7, 4, 1906-1919, 2023-12-01
  [ attention mechanism,channel prediction,denoising autoencoder,Intelligent reflecting surface (IRS),millimeter-wave,sixth-generation (6G) ]

• Intelligent Reflecting Surface Enhanced Wireless Communications With MultiHead-Attention Sparse Autoencoder-Based Channel Prediction
  IEEE Communications Letters, 27, 10, 2757-2761, 2023-10-01
  [ Channel prediction,denoising sparse autoencoder millimeter-wave,intelligent reflecting surface (IRS),multi-head attention,sixth generation (6G) ]

• A DRL-Based Automated Algorithm Selection Framework for Cross-Layer QoS-Aware Scheduling and Antenna Allocation in Massive MIMO Systems
  IEEE Access, 11, 13243-13256, 2023-01-01
  [ automated algorithm selection,deep reinforcement learning,massive MIMO,Mobile network,QoS,resource allocation ]

• Joint demand forecasting and DQN-Based control for energy-aware mobile traffic offloading
  IEEE Access, 8, 66588-66597, 2020-01-01
  [ big data,deep learning,deep reinforcement learning,Heterogeneous network,mobile traffic forecasting,mobile traffic offloading ]

• Radio resource scheduling for narrowband internet of things systems: A performance study
  IEEE Network, 33, 3, 108-115, 2019-05-01

• Opportunistic multicasting for single frequency networks
  Wireless Communications and Mobile Computing, 16, 15, 2253-2262, 2016-10-25
  [ feedback reduction , LTE MBSFN , opportunistic multicasting , video multicast , wireless communications ]

• Unified Opportunistic Scheduling for Layered Multicast over Cognitive Radio Networks
  IEEE Transactions on Mobile Computing, 15, 10, 2627-2639, 2016-10-01
  [ Cognitive radio , cross-layer optimization , Layered multicast , multiuser diversity , opportunistic multicasting ]

• Video-Quality-Driven Resource Allocation for Real-Time Surveillance Video Uplinking Over OFDMA-Based Wireless Networks
  IEEE Transactions on Vehicular Technology, 64, 7, 3233-3246, 2015-07-01
  [ Cross-layer design, Long-Term Evolution (LTE) , mobile surveillance system , video quality driven (VQD) , video uplink (UL) , Worldwide Interoperability for Microwave Access (WiMAX) ]

• An Energy-Efficient and Delay-Aware Wireless Computing System for Industrial Wireless Sensor Networks
  IEEE Access, 3, 1026-1035, 2015-01-01
  [ delay-aware data collection , Industrial wireless sensor network , low power consumption , wireless computing system ]

• Adaptive downsampling video coding with spatially scalable rate-distortion modeling
  IEEE Transactions on Circuits and Systems for Video Technology, 24, 11, 1957-1968, 2014-11-01

• Advanced formation and delivery of traffic information in intelligent transportation systems
  Expert Systems with Applications, 39, 9, 8356-8368, 2012-07-01
  [ Event Detection , Intelligent transportation systems , Traffic parameters , WiFi , WiMAX ]

• OLM: Opportunistic layered multicasting for scalable IPTV over mobile WiMAX
  IEEE Transactions on Mobile Computing, 11, 3, 453-463, 2012-03-01
  [ mobile WiMAX,multicasting,OFDMA,Resource allocation,scalable video ]

• Reliable multimedia broadcasting over dense wireless ad-hoc networks
  Journal of Communications, 4, 9, 614-127, 2009-11-12
  [ Mobile ad hoc networks (MANET) , Network saturation , The broadcast storm , Vehicular ad hoc networks (VANET) , Wireless ad hoc networks ]

• Advanced travel information system in heterogeneous networks
  World Academy of Science, Engineering and Technology, 57, 203-207, 2009-09-01
  [ Intelligent transportation systems , Relayed multicast , Vehicular Ad hoc Networks (VANET) , WiMAX ]

• Airtime fair distributed cross-layer congestion control for real-time video over WLAN
  IEEE Transactions on Circuits and Systems for Video Technology, 19, 8, 1158-1168, 2009-08-01
  [ Congestion control,Rate adaptation,Video over wireless,WLAN 802.11 ]

• Embedded packet train and adaptive FEC scheme for effective video adaptation over wireless broadband networks
  Journal of Zhejinag University: Science, 7, 5, 811-818, 2006-05-01
  [ Adaptive forward error correction , Available bandwidth estimation , Congestion control algorithm , Layered streaming ]

研討會著作

• Confidence-Aware 6DoF Mixed Reality Streaming Under Error-Prone FoV Prediction
  2024-06-09
  [ Metaverse,Mixed reality ]

• Meta-Learning Traffic Pattern Adaptation for DRL-Based Radio Resource Management
  2024-06-09
  [ Meta learning,Scheduling algorithms ]

• Meta-Learning Traffic Pattern Adaptation for DRL-Based Radio Resource Management
  227-232, 2024-01-01
  [ deep reinforcement learning,MEC,meta-learning,Resource allocation ]

• Confidence-Aware 6DoF Mixed Reality Streaming under Error-Prone FoV Prediction
  257-262, 2024-01-01
  [ 6DoF,FoV prediction,meta-verse,Mixed reality,QoE,resource allocation,volumetric media streaming ]

• Lightweight Text Spotting for Interactive User Experience in Mixed Reality
  2023-01-01
  [ Augmented reality,client-server model,mixed reality,text spotting ]

• Reinforcement Learning-Based Grant-Free Mode Selection for O-RAN Systems
  1002-1007, 2023-01-01
  [ Grant free mode,industrial IoT,O-RAN,xApps ]

• Reinforcement Learning-Based Network Management based on SON for the 5G Mobile Network
  1503-1508, 2023-01-01
  [ 5G Heterogeneous Network (Het-Net),Network Management,Reinforcement Learning (RL),Self-Organizing Network (SON) ]

• VADtalk: An Internet of Vehicles Platform Facilitating Anomaly Detection Modeling and Deployment for Self-Driving Vehicles
  733-738, 2023-01-01
  [ Anomaly detection,Internet of Vehicles,self-driving vehicles ]

• A Wireless Power Transfer IoT Electronic Flower Pot System Design
  10-13, 2023-01-01
  [ ]

• LARR: A Localization-Assisted Method to Conceal Latency-Induced Position Errors in MR Remote Rendering
  1439-1444, 2023-01-01
  [ delay compensation,low-latency communication,Mixed Reality,remote rendering ]

• Multi-Agent Deep Reinforcement Learning for Spectrum Management in V2X with Social Roles
  2293-2298, 2023-01-01
  [ multi-agent reinforcement learning,resource allocation,social roles,V2x ]

• Learning-Based Gaussian Belief Propagation for Bundle Adjustment in Visual SLAM
  166-171, 2022-01-01
  [ Bundle adjustment,Deep learning,Gaussian Belief Propagation,Machine learning,Neural network,Spatial AI,Visual SLAM ]

• An RSSI-Based Device-Free Localization System for Smart Wards
  2021-01-01
  [ deep learning network,Device-free localization,smart ward ]

• Spectrum Management with Congestion Avoidance for V2X Based on Multi-Agent Reinforcement Learning
  2020-12-01
  [ 5G,Multi-agent reinforcement learning (MARL),resource allocation,spectrum management,vehicle-to-everything (V2X) ]

• A Hybrid Scenario Generator and Its Application on Network Simulations
  2020-09-28
  [ resource allocation,VR ]

• Adaptive Congestion Control for Massive Machine Type Communications in Cellular Network
  2020-09-28
  [ 3GPP,5G Network,Grouping,ID sharing,IoT,mMTC,Network congestion,Overload,Scheduling ]

• Cross-Layer Allocation Scheme for Multi-View Videos in Massive MIMO Networks
  2020-06-01
  [ massive MIMO,resource allocation,video synthesizing,virtual reality ]

• DDPG-based radio resource management for user interactive mobile edge networks
  2020-03-01
  [ Deep Deterministic Policy Gradient (DDPG),Machine learning,Mobile edge network,Radio resource management,Reinforcement learning,Virtual reality ]

• 3DVPS: A 3D point cloud-based visual positioning system
  2020-01-01
  [ 3D positioning ]

• A survey on multi-agent reinforcement learning methods for vehicular networks
  1154-1159, 2019-06-01
  [ 5G,Caching,Data Offloading,Multi-agent,Reinforcement Learning,URLLC,Vehicular Network ]

• Radio resource scheduling for 5G NR via deep deterministic policy gradient
  2019-05-01
  [ 5G NR,Deep learning,Radio resource scheduling,Reinforcement learning ]

• Popularity-Based Cache Placement for Fog Networks
  800-804, 2018-08-28
  [ 5G,caching,energy efficiency,Fog computing ]

• Novel group paging scheme for improving energy efficiency of iot devices over LTE-A pro networks with QoS considerations
  2018-07-27
  

• An auction based smart service robot implemented on a Fog Computing node
  1-5, 2018-05-29
  

• Toward semantic loop closure in simultaneous localization and mapping systems
  2018-01-01
  [ bag-of-words approach , place recognition , semantic based localization and mapping , SLAM ]

• A survey on NB-IoT downlink scheduling: Issues and potential solutions
  547-551, 2017-07-19
  [ NarrowBand Internet of Things (NB-IoT),Resource allocation,Scheduling ]

• A hybrid IoT traffic generator for mobile network performance assessment
  441-445, 2017-07-19
  [ IoT , LTE mobile network , MTC , Traffic generator ]

• A study of deep learning networks on mobile traffic forecasting
  1-6, 2017-07-02
  [ Big data,Deep learning,Mobile traffic forecasting,Multitask learning ]

• Out-of-order transmission enabled congestion and scheduling control for multipath TCP
  1069-1073, 2016-09-26
  [ Congestion control , Multipath TCP , Scheduling ]

• Seamless vertical handover for video streaming with dynamic multipath TCP
  2016-07-25
  [ handover , Multipath TCP , video streaming ]

• A field-tested QoS scheduler for diverse traffic flows over mobile networks
  138-142, 2015-12-02
  [ LTE , proportional fair , QoS , scheduler , WiMAX ]

• A scheduled grouping scheme for MTC device ID sharing
  1307-1311, 2015-10-02
  [ Grouping , ID management , ID sharing , Machine-Type Communication (MTC) , Scheduling ]

• A posted-price auction for heterogeneous spectrum sharing under budget constraints
  2015-01-01
  [ Auction algorithm , Cognitive radio , Game theory , Spectrum sharing ]

• A survey on cognitive machine-To-machine communications
  739-744, 2014-01-01
  [ cognitive radio , dynamic spectrum access , game theory , Machine-To-machine ]

• On sellers' quantity games for dynamic spectrum sharing
  1554-1558, 2013-09-16
  [ Cognitive radio , Game theory , Nash equilibrium , Spectrum sharing ]

• Adaptive coding configuration for multi-resolution video coding
  239-240, 2013-09-11
  [ adaptive , downsampling coding , fast algorithm , H.264 ]

• An efficient CQI feedback resource allocation scheme for wireless video multicast services
  1663-1668, 2013-01-01
  [ CQI , Feedback , Multicast , Signaling Resource Allocation ]

• Atomic fragmentation for efficient opportunistic multicasting over cognitive radio networks
  364-365, 2012-12-01
  

• Rateless code based opportunistic multicasting over cognitive radio networks
  1090-1096, 2012-12-01
  

• Message from UIPM-12 workshop chairs
  2012-11-28
  

• Joint opportunistic spectrum access and scheduling for layered multicasting over cognitive radio networks
  2011-12-26
  

• Layered video resource allocation in mobile WiMAX using opportunistic multicasting
  2009-09-22
  

• Distributed cross layer congestion control for real-time video over WLAN
  2270-2276, 2008-09-12
  

• Congestion and error control for layered scalable video multicast over WiMAX
  114-119, 2007-08-06
  

• An embedded packet train and adaptive FEC scheme for VoIP over wired/wireless IP networks
  2006-12-01
  

• Link layer packet loss classification for link adaptation in WLAN
  603-608, 2006-01-01
  [ Congestion control , IEEE 802.11e , Link adaptation , Voice over IP ]

• Object highlighting and tracking in a novel VideoGIS system for telematics
  2005-01-01
  [ GPS calibration , Video object tracking , VideoGIS ]

• Discovery and fusion of salient multi-modal features towards news story segmentation
  244-258, 2004-12-01
  [ Exponential model , Face detection , Maximum Entropy Model , Multi-modal fusion , Prosody , Story segmentation , TRECVID ]

• News video story segmentation using fusion of multi-level multi-modal features in TRECVID 2003
  2004-09-28
  

專書

• Encyclopedia of Wireless Networks
  2020-08-20
  [ IoT ]

• Wiley 5G Ref
  2020-05-16
  [ big data ]

• Encyclopedia of Wireless Networks
  960-963, 2020-01-01
  

• Mobile WiMAX
  235-255, 2008-02-29
  [ Error-concealment techniques,Error-prone wireless environments,Fine granular scalability (FGS),Hierarchical prediction structure,Layered coding scheme and inter-layer prediction mechanisms,Motion-compensated temporal filtering (MCTF),Network abstraction layer (NAL),Network heterogeneity,Personal data assistants (PDAs),Temporal and spatial scalabilities ]

• Mobile WiMAX
  235-255, 2007-01-01
  [ Error-concealment techniques,Error-prone wireless environments,Fine granular scalability (FGS),Hierarchical prediction structure,Layered coding scheme and inter-layer prediction mechanisms,Motion-compensated temporal filtering (MCTF),Network abstraction layer (NAL),Network heterogeneity,Personal data assistants (PDAs),Temporal and spatial scalabilities ]