[{"data":1,"prerenderedAt":404},["ShallowReactive",2],{"member-staff\u002Fchiew-foong-kwong-en":3,"member-publications-staff\u002Fchiew-foong-kwong":67},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"title":8,"description":9,"name":10,"role":11,"department":12,"group":13,"email":14,"scholar":15,"image":16,"category":5,"order":17,"orcid":18,"body":19,"_type":60,"_id":61,"_source":62,"_file":63,"_stem":64,"_extension":65,"locale":66},"\u002Fmembers\u002Fstaff\u002Fchiew-foong-kwong","staff",false,"","Head of Department of Electrical and Electronic Engineering","Dr. Chiew Foong Kwong received the B.Eng. degree (Hons.) in electrical and electronic engineering from the University of Hertfordshire, Hatfield, U.K., in 2001, the M.Sc. degree in personal, mobile and satellite communications from the University of Bradford, Bradford, U.K., in 2004, and the Ph.D. degree in wireless communications from Multimedia University, Cyberjaya, Malaysia, in 2015.","Dr Chiew Foong Kwong","Associate Professor, Head of Department","Department of Electrical and Electronic Engineering","Department of Mechanical, Materials and Manufacturing Engineering","Chiew-Foong.Kwong@nottingham.edu.cn","https:\u002F\u002Fscholar.google.com\u002Fcitations?user=DiX0phAAAAAJ&hl=zh-CN&oi=ao","assets\u002Fcf.jpg","03","0000-0001-7857-511X",{"type":20,"children":21,"toc":56},"root",[22,29,36],{"type":23,"tag":24,"props":25,"children":26},"element","p",{},[27],{"type":28,"value":9},"text",{"type":23,"tag":30,"props":31,"children":33},"h2",{"id":32},"research-interests",[34],{"type":28,"value":35},"Research Interests",{"type":23,"tag":37,"props":38,"children":39},"ul",{},[40,46,51],{"type":23,"tag":41,"props":42,"children":43},"li",{},[44],{"type":28,"value":45},"Heterogeneous networks",{"type":23,"tag":41,"props":47,"children":48},{},[49],{"type":28,"value":50},"Mobility management for 5G",{"type":23,"tag":41,"props":52,"children":53},{},[54],{"type":28,"value":55},"Vehicle to everything (V2X)",{"title":7,"searchDepth":57,"depth":57,"links":58},2,[59],{"id":32,"depth":57,"text":35},"markdown","content:members:staff:chiew-foong-kwong.md","content","members\u002Fstaff\u002Fchiew-foong-kwong.md","members\u002Fstaff\u002Fchiew-foong-kwong","md","en",[68,81,91,101,110,117,125,132,140,149,158,164,171,180,189,200,211,222,232,239,250,258,266,276,292,300,309,326,337,347,358,367,379,389,396],{"_path":69,"title":70,"authors":71,"year":77,"doi":78,"venue":79,"_id":80},"\u002Fpublications\u002F2017\u002Fgain-enhancement-of-microstrip-patch-antenna-using-low-loss-negative-refractive","Gain enhancement of microstrip patch antenna using low loss negative refractive index metamaterial superstrate",[72,73,74,75,76],"Ng, C. H.","Devi, Kavuri Kasi Annapurna","Chakrabarty, Chandan Kumar","Din, Norashidah Md","Kwong, Chiew Foong",2017,null,"Journal of Telecommunication Electronic and Computer Engineering (JTEC)","content:publications:2017:gain-enhancement-of-microstrip-patch-antenna-using-low-loss-negative-refractive.md",{"_path":82,"title":83,"authors":84,"year":88,"doi":89,"venue":78,"_id":90},"\u002Fpublications\u002F2018\u002Fa-hybrid-fuzzy-madm-based-decision-making-scheme-for-qos-aware-handover","A hybrid fuzzy-MADM based decision-making scheme for QoS aware handover",[85,76,86,87],"Liu, Qianyu","Zhang, Sibo","Li, Lincan",2018,"https:\u002F\u002Fdoi.org\u002F10.1049\u002Fcp.2018.1728","content:publications:2018:a-hybrid-fuzzy-madm-based-decision-making-scheme-for-qos-aware-handover.md",{"_path":92,"title":93,"authors":94,"year":88,"doi":99,"venue":78,"_id":100},"\u002Fpublications\u002F2018\u002Fdeveloping-virtual-reality-open-educational-resources-in-a-sino-foreign-higher-e","Developing Virtual Reality Open Educational Resources in a Sino-Foreign Higher Education Institution: Challenges and Strategies",[95,96,97,76,98],"Towey, Dave","Walker, James","Austin, Clayton","Wei, Sherry","https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftale.2018.8615167","content:publications:2018:developing-virtual-reality-open-educational-resources-in-a-sino-foreign-higher-e.md",{"_path":102,"title":103,"authors":104,"year":106,"doi":107,"venue":108,"_id":109},"\u002Fpublications\u002F2019\u002Fa-fuzzy-clustering-based-approach-for-madm-handover-in-5g-ultra-dense-networks","A fuzzy-clustering based approach for MADM handover in 5G ultra-dense networks",[85,76,86,87,105],"Wang, Jing",2019,"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11276-019-02130-3","Wireless Networks","content:publications:2019:a-fuzzy-clustering-based-approach-for-madm-handover-in-5g-ultra-dense-networks.md",{"_path":111,"title":112,"authors":113,"year":106,"doi":114,"venue":115,"_id":116},"\u002Fpublications\u002F2019\u002Ffuzzy-topsis-based-optimal-handover-decision-making-algorithm-for-fifth-generati","Fuzzy-TOPSIS Based Optimal Handover Decision-making Algorithm for Fifth-generation of Mobile Communications System",[85,76,86,87],"https:\u002F\u002Fdoi.org\u002F10.12720\u002Fjcm.14.10.945-950","Journal of Communications","content:publications:2019:fuzzy-topsis-based-optimal-handover-decision-making-algorithm-for-fifth-generati.md",{"_path":118,"title":119,"authors":120,"year":121,"doi":122,"venue":123,"_id":124},"\u002Fpublications\u002F2020\u002Fa-proactive-mobile-edge-cache-policy-based-on-the-prediction-by-partial-matching","A Proactive Mobile Edge Cache Policy Based on the Prediction by Partial Matching",[87,76,85],2020,"https:\u002F\u002Fdoi.org\u002F10.25046\u002Faj0505140","Advances in Science Technology and Engineering Systems Journal","content:publications:2020:a-proactive-mobile-edge-cache-policy-based-on-the-prediction-by-partial-matching.md",{"_path":126,"title":127,"authors":128,"year":121,"doi":129,"venue":130,"_id":131},"\u002Fpublications\u002F2020\u002Fa-smart-cache-content-update-policy-based-on-deep-reinforcement-learning","A Smart Cache Content Update Policy Based on Deep Reinforcement Learning",[87,76,85,105],"https:\u002F\u002Fdoi.org\u002F10.1155\u002F2020\u002F8836592","Wireless Communications and Mobile Computing","content:publications:2020:a-smart-cache-content-update-policy-based-on-deep-reinforcement-learning.md",{"_path":133,"title":134,"authors":135,"year":121,"doi":138,"venue":78,"_id":139},"\u002Fpublications\u002F2020\u002Freinforcement-learning-based-adaptive-handover-in-ultra-dense-cellular-networks","Reinforcement learning based adaptive handover in ultra-dense cellular networks with small cells",[85,76,136,87,137],"Sun, Wei","Zhao, Haoyu","https:\u002F\u002Fdoi.org\u002F10.1117\u002F12.2580119","content:publications:2020:reinforcement-learning-based-adaptive-handover-in-ultra-dense-cellular-networks.md",{"_path":141,"title":142,"authors":143,"year":146,"doi":147,"venue":130,"_id":148},"\u002Fpublications\u002F2021\u002Fa-novel-cooperative-cache-policy-for-wireless-networks","A Novel Cooperative Cache Policy for Wireless Networks",[87,76,85,144,145],"Kar, Pushpendu","Ardakani, Saeid Pourroostaei",2021,"https:\u002F\u002Fdoi.org\u002F10.1155\u002F2021\u002F5568935","content:publications:2021:a-novel-cooperative-cache-policy-for-wireless-networks.md",{"_path":150,"title":151,"authors":152,"year":146,"doi":155,"venue":156,"_id":157},"\u002Fpublications\u002F2021\u002Fautonomous-mobility-management-for-5g-ultra-dense-hetnets-via-reinforcement-lear","Autonomous Mobility Management for 5G Ultra-Dense HetNets via Reinforcement Learning With Tile Coding Function Approximation",[85,76,153,154,87,145],"Zhou, Sijia","Ye, Tianhao","https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2021.3095555","IEEE Access","content:publications:2021:autonomous-mobility-management-for-5g-ultra-dense-hetnets-via-reinforcement-lear.md",{"_path":159,"title":160,"authors":161,"year":146,"doi":162,"venue":156,"_id":163},"\u002Fpublications\u002F2021\u002Fcnn-a-cluster-based-named-data-routing-for-vehicular-networks","CNN: A Cluster-Based Named Data Routing for Vehicular Networks",[145,76,144,85,87],"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2021.3131198","content:publications:2021:cnn-a-cluster-based-named-data-routing-for-vehicular-networks.md",{"_path":165,"title":166,"authors":167,"year":146,"doi":168,"venue":169,"_id":170},"\u002Fpublications\u002F2021\u002Freinforcement-learning-based-joint-self-optimisation-method-for-the-fuzzy-logic","Reinforcement learning-based joint self-optimisation method for the fuzzy logic handover algorithm in 5G HetNets",[85,76,136,153,87,144],"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00521-021-06673-5","Neural Computing and Applications","content:publications:2021:reinforcement-learning-based-joint-self-optimisation-method-for-the-fuzzy-logic.md",{"_path":172,"title":173,"authors":174,"year":176,"doi":177,"venue":178,"_id":179},"\u002Fpublications\u002F2022\u002Fare-fake-images-bothering-you-on-social-network-let-us-detect-them-using-recurre","Are Fake Images Bothering You on Social Network? Let Us Detect Them Using Recurrent Neural Network",[144,175,145,76],"Xue, Zhengrui",2022,"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftcss.2022.3159709","IEEE Transactions on Computational Social Systems","content:publications:2022:are-fake-images-bothering-you-on-social-network-let-us-detect-them-using-recurre.md",{"_path":181,"title":182,"authors":183,"year":176,"doi":187,"venue":78,"_id":188},"\u002Fpublications\u002F2022\u002Fconsidering-satellite-attitude-quaternions-in-beidou-precise-point-positioning-p","Considering Satellite Attitude Quaternions in BeiDou Precise Point Positioning Performance",[184,185,76,186],"Suya, Robert Galatiya","Chen, Yung‐Tsang","Zhang, Penghe","https:\u002F\u002Fdoi.org\u002F10.5194\u002Fegusphere-egu22-12926","content:publications:2022:considering-satellite-attitude-quaternions-in-beidou-precise-point-positioning-p.md",{"_path":190,"title":191,"authors":192,"year":176,"doi":198,"venue":78,"_id":199},"\u002Fpublications\u002F2022\u002Fevaluating-microlearning-a-cross-faculty-case-study-of-a-sino-foreign-university","Evaluating Microlearning: A Cross-faculty Case Study of a Sino-foreign University",[193,194,195,76,196,95,197],"Krygier, David","Knowles, Lauren Ruth","Gill, Amarpreet","Irwin, Derek","Pike, Matthew","https:\u002F\u002Fdoi.org\u002F10.1007\u002F978-3-030-92979-4_4","content:publications:2022:evaluating-microlearning-a-cross-faculty-case-study-of-a-sino-foreign-university.md",{"_path":201,"title":202,"authors":203,"year":176,"doi":208,"venue":209,"_id":210},"\u002Fpublications\u002F2022\u002Fmodeling-and-analysis-of-new-hybrid-clustering-technique-for-vehicular-ad-hoc-ne","Modeling and Analysis of New Hybrid Clustering Technique for Vehicular Ad Hoc Network",[204,205,206,207,76],"Abdulrazzak, Hazem Noori","Hock, Goh Chin","Radzi, Nurul Asyikin Mohamed","Tan, Nadia M. L.","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fmath10244720","Mathematics","content:publications:2022:modeling-and-analysis-of-new-hybrid-clustering-technique-for-vehicular-ad-hoc-ne.md",{"_path":212,"title":213,"authors":214,"year":218,"doi":219,"venue":220,"_id":221},"\u002Fpublications\u002F2023\u002Fautomatic-handover-parameter-optimization-for-ultra-dense-small-cell-networks","Automatic Handover Parameter Optimization for Ultra-Dense Small Cell Networks",[215,216,217,76,85],"Shen, Feifan","Shi, Chenhao","Ma, Lianwei",2023,"https:\u002F\u002Fdoi.org\u002F10.1504\u002Fijscip.2023.10059740","International Journal of System Control and Information Processing","content:publications:2023:automatic-handover-parameter-optimization-for-ultra-dense-small-cell-networks.md",{"_path":223,"title":224,"authors":225,"year":218,"doi":230,"venue":78,"_id":231},"\u002Fpublications\u002F2023\u002Fon-robustness-of-ieee-802-11-wlan-based-human-activity-recognition","On Robustness of IEEE 802.11 WLAN-based Human Activity Recognition",[226,227,228,76,229],"Li, Yeqin","Chieng, David","Lee, Boon Giin","Yang, Chenyu","https:\u002F\u002Fdoi.org\u002F10.1109\u002Fcscn60443.2023.10453177","content:publications:2023:on-robustness-of-ieee-802-11-wlan-based-human-activity-recognition.md",{"_path":233,"title":234,"authors":235,"year":236,"doi":237,"venue":220,"_id":238},"\u002Fpublications\u002F2024\u002Fautomatic-handover-parameter-optimisation-for-ultra-dense-small-cell-networks","Automatic handover parameter optimisation for ultra-dense small cell networks",[85,217,76,215,216],2024,"https:\u002F\u002Fdoi.org\u002F10.1504\u002Fijscip.2024.138668","content:publications:2024:automatic-handover-parameter-optimisation-for-ultra-dense-small-cell-networks.md",{"_path":240,"title":241,"authors":242,"year":236,"doi":247,"venue":248,"_id":249},"\u002Fpublications\u002F2024\u002Finvestigation-of-traffic-radar-coverage-efficiency-under-different-placement-str","Investigation of traffic radar coverage efficiency under different placement strategies",[243,244,227,76,228,245,246],"Yao, Shun","Zhou, Jin","Li, J.","Chen, Yusen","https:\u002F\u002Fdoi.org\u002F10.1049\u002Ficp.2024.3951","IET conference proceedings.","content:publications:2024:investigation-of-traffic-radar-coverage-efficiency-under-different-placement-str.md",{"_path":251,"title":252,"authors":253,"year":236,"doi":255,"venue":256,"_id":257},"\u002Fpublications\u002F2024\u002Fnamed-data-networking-based-proof-of-mobility-blockchain-in-vanets","Named Data Networking Based Proof-of-Mobility Blockchain in Vanets",[254,76,145,227,144],"Chen, Ningyuan","https:\u002F\u002Fdoi.org\u002F10.2139\u002Fssrn.4925247","SSRN Electronic Journal","content:publications:2024:named-data-networking-based-proof-of-mobility-blockchain-in-vanets.md",{"_path":259,"title":260,"authors":261,"year":236,"doi":263,"venue":264,"_id":265},"\u002Fpublications\u002F2024\u002Fnavigating-the-road-ahead-a-comprehensive-survey-of-radio-resource-allocation-fo","Navigating the Road Ahead: A Comprehensive Survey of Radio Resource Allocation for Vehicle Platooning in C-V2X Communications",[229,76,227,144,262,246],"Yau, Kok‐Lim Alvin","https:\u002F\u002Fdoi.org\u002F10.1109\u002Fcomst.2024.3440033","IEEE Communications Surveys & Tutorials","content:publications:2024:navigating-the-road-ahead-a-comprehensive-survey-of-radio-resource-allocation-fo.md",{"_path":267,"title":268,"authors":269,"year":236,"doi":273,"venue":274,"_id":275},"\u002Fpublications\u002F2024\u002Fphotoplethysmography-based-non-invasive-blood-pressure-monitoring-via-ensemble-m","Photoplethysmography-based non-invasive blood pressure monitoring via ensemble model and imbalanced dataset processing",[85,270,271,76,105,272],"Yang, Chaojie","Yang, Sen","Zhou, Ning","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs13246-024-01445-6","Physical and Engineering Sciences in Medicine","content:publications:2024:photoplethysmography-based-non-invasive-blood-pressure-monitoring-via-ensemble-m.md",{"_path":277,"title":278,"authors":279,"year":236,"doi":289,"venue":290,"_id":291},"\u002Fpublications\u002F2024\u002Fsimultaneous-measurement-of-local-pulse-wave-velocities-in-radial-arteries-using","Simultaneous Measurement of Local Pulse Wave Velocities in Radial Arteries Using a Soft Sensor Based on the Fiber Bragg Grating Technique",[105,280,281,282,283,284,285,286,76,287,271,288],"Wang, Zhukun","Zhang, Zijun","Li, Peiyun","Pan, Han","Ren, Yong","Hou, Tuo","Wang, Chengbo","Zhang, Bei","Bie, Jing","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fmi15040507","Micromachines","content:publications:2024:simultaneous-measurement-of-local-pulse-wave-velocities-in-radial-arteries-using.md",{"_path":293,"title":294,"authors":295,"year":236,"doi":298,"venue":78,"_id":299},"\u002Fpublications\u002F2024\u002Fthe-potential-of-ai-in-electrical-and-electronic-engineering-education-a-review","The Potential of AI in Electrical and Electronic Engineering Education: A Review",[296,76,297],"Sun, Jiaqin","Buticchi, Giampaolo","https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficelie62250.2024.10814858","content:publications:2024:the-potential-of-ai-in-electrical-and-electronic-engineering-education-a-review.md",{"_path":301,"title":302,"authors":303,"year":236,"doi":307,"venue":248,"_id":308},"\u002Fpublications\u002F2024\u002Fvirtual-sensing-of-room-activity-using-passive-environmental-sensors","Virtual sensing of room activity using passive environmental sensors",[226,227,76,228,304,305,306],"Zhang, Yunfan","Wang, Yin","Lin, Ting-Jung","https:\u002F\u002Fdoi.org\u002F10.1049\u002Ficp.2024.3952","content:publications:2024:virtual-sensing-of-room-activity-using-passive-environmental-sensors.md",{"_path":310,"title":311,"authors":312,"year":322,"doi":323,"venue":324,"_id":325},"\u002Fpublications\u002F2025\u002Fa-high-accuracy-calibration-free-spirometer-based-on-fiber-bragg-grating-techniq","A high-accuracy calibration-free spirometer based on Fiber Bragg Grating technique with neural network optimization",[313,314,282,283,315,316,317,318,319,320,321,76,284,288,286,105],"Zhang, Rong","Li, Xiaoyu","Xu, Rui","Li, Hongchang","Si, Yuhan","Yang, Yiqian","Zhao, Peiran","Lu, B.","He, Yiming",2025,"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.sna.2025.116529","Sensors and Actuators A Physical","content:publications:2025:a-high-accuracy-calibration-free-spirometer-based-on-fiber-bragg-grating-techniq.md",{"_path":327,"title":328,"authors":329,"year":322,"doi":334,"venue":335,"_id":336},"\u002Fpublications\u002F2025\u002Fcollaborative-optimization-of-truck-scheduling-in-container-terminals-using-grap","Collaborative optimization of truck scheduling in container terminals using graph theory and DDQN",[330,85,331,332,333,76],"Cheng, Shu","Jin, Heng","Zhang, Ran","Ma, Longhua","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-025-91140-7","Scientific Reports","content:publications:2025:collaborative-optimization-of-truck-scheduling-in-container-terminals-using-grap.md",{"_path":338,"title":339,"authors":340,"year":322,"doi":345,"venue":78,"_id":346},"\u002Fpublications\u002F2025\u002Fris-empowered-coexistence-between-self-sustainable-iot-and-radar-networks","RIS-Empowered Coexistence Between Self-Sustainable IoT and Radar Networks",[341,342,76,227,343,344],"Zhu, Ruotong","Chu, Zheng","Yin, Cheng","Soman, Sunish Kumar Orappanpara","https:\u002F\u002Fdoi.org\u002F10.1109\u002Fucom67224.2025.11337069","content:publications:2025:ris-empowered-coexistence-between-self-sustainable-iot-and-radar-networks.md",{"_path":348,"title":349,"authors":350,"year":322,"doi":355,"venue":356,"_id":357},"\u002Fpublications\u002F2025\u002Fthroughput-improvement-for-ris-empowered-wireless-powered-anti-jamming-communica","Throughput Improvement for RIS-Empowered Wireless Powered Anti-Jamming Communication Networks (WPAJCN)",[342,227,76,351,352,353,354],"Jin, Huan","Zhu, Zhengyu","Huang, Chongwen","Yuen, Chau","https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftifs.2025.3563818","IEEE Transactions on Information Forensics and Security","content:publications:2025:throughput-improvement-for-ris-empowered-wireless-powered-anti-jamming-communica.md",{"_path":359,"title":360,"authors":361,"year":363,"doi":364,"venue":365,"_id":366},"\u002Fpublications\u002F2026\u002Fa-review-on-early-detection-of-diabetic-foot-ulcers-from-clinical-practices-and","A review on early detection of diabetic foot ulcers: From clinical practices and sensor-based research to system-level perspectives",[314,282,283,76,288,284,271,362,105],"Smith, Richard",2026,"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.snr.2026.100473","Sensors and Actuators Reports","content:publications:2026:a-review-on-early-detection-of-diabetic-foot-ulcers-from-clinical-practices-and.md",{"_path":368,"title":369,"authors":370,"year":363,"doi":376,"venue":377,"_id":378},"\u002Fpublications\u002F2026\u002Fadvancing-integrated-sensing-and-communications-with-rl-drl-in-6-g-networks-a-su","Advancing integrated sensing and communications with RL\u002FDRL in 6 G networks: a survey",[371,372,373,76,374,375],"Khan, Wali Ullah","Khalid, Waqas","Iqbal, Muhammad","Ahmed, Manzoor","Shah, Syed Tariq","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10462-026-11610-w","Artificial Intelligence Review","content:publications:2026:advancing-integrated-sensing-and-communications-with-rl-drl-in-6-g-networks-a-su.md",{"_path":380,"title":381,"authors":382,"year":363,"doi":386,"venue":387,"_id":388},"\u002Fpublications\u002F2026\u002Fenhancing-c-v2x-with-blockchain-and-zero-knowledge-proofs-for-improved-privacy-a","Enhancing C-V2X with Blockchain and Zero-Knowledge Proofs for Improved Privacy, and Trustworthiness",[254,76,227,144,229,383,384,385],"Liu, Q.","Tsiftsis, Theodoros A.","Chen, Y.","https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftvt.2026.3674840","IEEE Transactions on Vehicular Technology","content:publications:2026:enhancing-c-v2x-with-blockchain-and-zero-knowledge-proofs-for-improved-privacy-a.md",{"_path":390,"title":391,"authors":392,"year":363,"doi":394,"venue":256,"_id":395},"\u002Fpublications\u002F2026\u002Ffog-assisted-proactive-scheduling-for-platoon-based-c-v2x-networks-system-archit","Fog-assisted Proactive Scheduling for Platoon-based C-V2X Networks: System Architecture and Position-aware Resource Allocation",[229,76,227,144,383,393],"Fan, Pingzhi","https:\u002F\u002Fdoi.org\u002F10.2139\u002Fssrn.6511492","content:publications:2026:fog-assisted-proactive-scheduling-for-platoon-based-c-v2x-networks-system-archit.md",{"_path":397,"title":398,"authors":399,"year":363,"doi":401,"venue":402,"_id":403},"\u002Fpublications\u002F2026\u002Fspeed-aware-asynchronous-deep-reinforcement-learning-for-joint-handover-paramete","Speed-Aware Asynchronous Deep Reinforcement Learning for Joint Handover Parameter Adaptation in 5G and Beyond Networks",[216,76,383,400,342,384],"Huang, Zekai","https:\u002F\u002Fdoi.org\u002F10.1109\u002Flcomm.2026.3669901","IEEE Communications Letters","content:publications:2026:speed-aware-asynchronous-deep-reinforcement-learning-for-joint-handover-paramete.md",1786300701241]