IEEE802.11,known as WiFi has proliferated in the last decade.It can be found in smartphones,laptops,smart TVs and surveillance cameras.This popularity has revealed many issues in health,data privacy and security.In th...IEEE802.11,known as WiFi has proliferated in the last decade.It can be found in smartphones,laptops,smart TVs and surveillance cameras.This popularity has revealed many issues in health,data privacy and security.In this work,a WiFi measurement study has been conducted in Amman,the capital city of Jordan.An Android App has been written to harvest WiFi information of the transmitted frames of any surrounding Access points(APs).More than 240,000 APs information has been harvested in this work.The harvested data have been analyzed to find statistics ofWiFi devices in this city.Moreover,three power distribution models have been derived from the data for three different areas,closed,open and hybrid areas.In addition,the collected data revealed that the SSID can be leveraged as a landmark for the access points(APs).To this end,SSIDtrack algorithm is proposed to track shoppers/walkers in closed areas,such as malls to find their walking route utilizing only the SSID information collected from the surrounding area.The algorithm has been tested in two different malls that consist of four different floors.The accuracy recorded for the algorithm acceded 95%.展开更多
This study introduces the Smart Exponential-Threshold-Linear with Double Deep Q-learning Network(SETL-DDQN)and an extended Gumbel distribution method,designed to optimize the Contention Window(CW)in IEEE 802.11 networ...This study introduces the Smart Exponential-Threshold-Linear with Double Deep Q-learning Network(SETL-DDQN)and an extended Gumbel distribution method,designed to optimize the Contention Window(CW)in IEEE 802.11 networks.Unlike conventional Deep Reinforcement Learning(DRL)-based approaches for CW size adjustment,which often suffer from overestimation bias and limited exploration diversity,leading to suboptimal throughput and collision performance.Our framework integrates the Gumbel distribution and extreme value theory to systematically enhance action selection under varying network conditions.First,SETL adopts a DDQN architecture(SETL-DDQN)to improve Q-value estimation accuracy and enhance training stability.Second,we incorporate a Gumbel distribution-driven exploration mechanism,forming SETL-DDQN(Gumbel),which employs the extreme value theory to promote diverse action selection,replacing the conventional-greedy exploration that undergoes early convergence to suboptimal solutions.Both models are evaluated through extensive simulations in static and time-varying IEEE 802.11 network scenarios.The results demonstrate that our approach consistently achieves higher throughput,lower collision rates,and improved adaptability,even under abrupt fluctuations in traffic load and network conditions.In particular,the Gumbel-based mechanism enhances the balance between exploration and exploitation,facilitating faster adaptation to varying congestion levels.These findings position Gumbel-enhanced DRL as an effective and robust solution for CW optimization in wireless networks,offering notable gains in efficiency and reliability over existing methods.展开更多
With the exponential growth of mobile terminals and the widespread adoption of Internet of Things(IoT)technologies,an increasing number of devices rely on wireless local area networks(WLAN)for data transmission.To add...With the exponential growth of mobile terminals and the widespread adoption of Internet of Things(IoT)technologies,an increasing number of devices rely on wireless local area networks(WLAN)for data transmission.To address this demand,deploying more access points(APs)has become an inevitable trend.While this approach enhances network coverage and capacity,it also exacerbates co-channel interference(CCI).The multi-AP cooperation introduced in IEEE 802.11be(Wi-Fi 7)represents a paradigm shift from conventional single-AP architectures,offering a novel solution to CCI through joint resource scheduling across APs.However,designing efficient cooperation mechanisms and achieving optimal resource allocation in dense AP environment remain critical research challenges.To mitigate CCI in high-density WLANs,this paper proposes a radio resource allocation method based on 802.11be multi-AP cooperation.First,to reduce the network overhead associated with centralized AP management,we introduce a distributed interference-aware AP clustering method that groups APs into cooperative sets.Second,methods for multi-AP cooperation information exchange,and cooperation transmission processes are designed.To support network state collection,capability advertisement,and cooperative trigger execution at the protocol level,this paper enhances the 802.11 frame structure with dedicated fields for multi-AP cooperation.Finally,considering the mutual influence between power and channel allocation,this paper proposes a joint radio resource allocation algorithm that employs an enhanced genetic algorithm for resource unit(RU)allocation and Q-learning for power control,interconnected via an inner-outer dual-loop architecture.Simulation results demonstrate the effectiveness of the proposed CCI avoidance mechanism and radio resource allocation algorithm in enhancing throughput in dense WLAN scenarios.展开更多
2021年9月,重庆大学光电工程学院2019级研究生邓培芳以共同第一作者在IEEE Transactions on Geoscience and Remote Sensing期刊上发表了一篇题为“Vision Transformer:An Excellent Teacher for Guiding Small Networks in Remote Sens...2021年9月,重庆大学光电工程学院2019级研究生邓培芳以共同第一作者在IEEE Transactions on Geoscience and Remote Sensing期刊上发表了一篇题为“Vision Transformer:An Excellent Teacher for Guiding Small Networks in Remote Sensing Image Scene Classification”的研究论文。IEEE Transactions on Geoscience and Remote Sensing是IEEE出版的国际性、跨学科期刊,2022年被中国科学院划分为一区Top期刊。邓培芳同学(现在浙江大学攻读博士学位)在2019年暑假期间,加入重庆大学光电工程学院黄鸿教授课题组进行学习,开始本课题的研究工作。展开更多
民用飞机客舱系统航电设备间交联采用了基于IEEE 802.3协议的菊花链网络,随着客舱电子设备数量增加,基于IEEE 802.3协议的菊花链网络面临传输时延增大、网络收敛时间变长、网络整体性能下降等一系列问题。针对上述问题,提出基于EtherCAT...民用飞机客舱系统航电设备间交联采用了基于IEEE 802.3协议的菊花链网络,随着客舱电子设备数量增加,基于IEEE 802.3协议的菊花链网络面临传输时延增大、网络收敛时间变长、网络整体性能下降等一系列问题。针对上述问题,提出基于EtherCAT(Ethernet for Control Automation Technology)协议构建客舱系统菊花链网络,使用OPNET、Mininet网络仿真工具对该网络架构进行仿真验证。仿真结果显示,使用EtherCAT协议的菊花链网络在误码率、丢包和响应时延方面均优于IEEE 802.3协议,同时保证了网络的高效运行,EtherCAT协议菊花链网络的正确性和适用性得到验证。展开更多
Check the CES TEMS Author’s Kit at http://www.cestems.org for the latest details.CES Transactions on Electrical Machines and Systems(CES TEMS) is an international quarterly journal,which is published by the China Ele...Check the CES TEMS Author’s Kit at http://www.cestems.org for the latest details.CES Transactions on Electrical Machines and Systems(CES TEMS) is an international quarterly journal,which is published by the China Electrotechnical Society (CES)and the Institute of Electrical Engineering of the Chinese Academy of Sciences,and technically co-sponsored by IEEE Power Electronics Society (IEEE PELS).CES TEMS is indexed by ESCI,EI,Scopus,IEEE Xplore,INSPEC,DOAJ,CSTPCD,CSCD and Google Scholar etc..展开更多
This Special Topic of the Journal of Semiconductors(JOS)features expanded versions of key articles presented at the 2024 IEEE International Conference on Integrated Circuits Technologies and Applications(ICTA),which w...This Special Topic of the Journal of Semiconductors(JOS)features expanded versions of key articles presented at the 2024 IEEE International Conference on Integrated Circuits Technologies and Applications(ICTA),which was held in Hangzhou,Zhejiang,China,from October 25 to 27,2024.展开更多
Frank L.Lewis(Life Fellow,IEEE)received the Ph.D.degree from the Georgia Institute of Technology.He is currently a member of the National Academy of Inventors and the Moncrief-O'Donnell Chair with The University o...Frank L.Lewis(Life Fellow,IEEE)received the Ph.D.degree from the Georgia Institute of Technology.He is currently a member of the National Academy of Inventors and the Moncrief-O'Donnell Chair with The University of Texas at Arlington Research Institute.He is the author of seven U.S.patents,numerous journal special issues and journal articles,and 20 books.展开更多
基金This work is funded by Al-Zaytoonah University of Jordan under project name“miniature distributed architecture for massive data processing”with the grant number 15/12/2019-2020。
文摘IEEE802.11,known as WiFi has proliferated in the last decade.It can be found in smartphones,laptops,smart TVs and surveillance cameras.This popularity has revealed many issues in health,data privacy and security.In this work,a WiFi measurement study has been conducted in Amman,the capital city of Jordan.An Android App has been written to harvest WiFi information of the transmitted frames of any surrounding Access points(APs).More than 240,000 APs information has been harvested in this work.The harvested data have been analyzed to find statistics ofWiFi devices in this city.Moreover,three power distribution models have been derived from the data for three different areas,closed,open and hybrid areas.In addition,the collected data revealed that the SSID can be leveraged as a landmark for the access points(APs).To this end,SSIDtrack algorithm is proposed to track shoppers/walkers in closed areas,such as malls to find their walking route utilizing only the SSID information collected from the surrounding area.The algorithm has been tested in two different malls that consist of four different floors.The accuracy recorded for the algorithm acceded 95%.
文摘This study introduces the Smart Exponential-Threshold-Linear with Double Deep Q-learning Network(SETL-DDQN)and an extended Gumbel distribution method,designed to optimize the Contention Window(CW)in IEEE 802.11 networks.Unlike conventional Deep Reinforcement Learning(DRL)-based approaches for CW size adjustment,which often suffer from overestimation bias and limited exploration diversity,leading to suboptimal throughput and collision performance.Our framework integrates the Gumbel distribution and extreme value theory to systematically enhance action selection under varying network conditions.First,SETL adopts a DDQN architecture(SETL-DDQN)to improve Q-value estimation accuracy and enhance training stability.Second,we incorporate a Gumbel distribution-driven exploration mechanism,forming SETL-DDQN(Gumbel),which employs the extreme value theory to promote diverse action selection,replacing the conventional-greedy exploration that undergoes early convergence to suboptimal solutions.Both models are evaluated through extensive simulations in static and time-varying IEEE 802.11 network scenarios.The results demonstrate that our approach consistently achieves higher throughput,lower collision rates,and improved adaptability,even under abrupt fluctuations in traffic load and network conditions.In particular,the Gumbel-based mechanism enhances the balance between exploration and exploitation,facilitating faster adaptation to varying congestion levels.These findings position Gumbel-enhanced DRL as an effective and robust solution for CW optimization in wireless networks,offering notable gains in efficiency and reliability over existing methods.
基金supported by National Natural Science Foundation of China(No.62201074),Reliable Mechanism for Edge Collaboration Service in Highly Dynamic Scenarios.
文摘With the exponential growth of mobile terminals and the widespread adoption of Internet of Things(IoT)technologies,an increasing number of devices rely on wireless local area networks(WLAN)for data transmission.To address this demand,deploying more access points(APs)has become an inevitable trend.While this approach enhances network coverage and capacity,it also exacerbates co-channel interference(CCI).The multi-AP cooperation introduced in IEEE 802.11be(Wi-Fi 7)represents a paradigm shift from conventional single-AP architectures,offering a novel solution to CCI through joint resource scheduling across APs.However,designing efficient cooperation mechanisms and achieving optimal resource allocation in dense AP environment remain critical research challenges.To mitigate CCI in high-density WLANs,this paper proposes a radio resource allocation method based on 802.11be multi-AP cooperation.First,to reduce the network overhead associated with centralized AP management,we introduce a distributed interference-aware AP clustering method that groups APs into cooperative sets.Second,methods for multi-AP cooperation information exchange,and cooperation transmission processes are designed.To support network state collection,capability advertisement,and cooperative trigger execution at the protocol level,this paper enhances the 802.11 frame structure with dedicated fields for multi-AP cooperation.Finally,considering the mutual influence between power and channel allocation,this paper proposes a joint radio resource allocation algorithm that employs an enhanced genetic algorithm for resource unit(RU)allocation and Q-learning for power control,interconnected via an inner-outer dual-loop architecture.Simulation results demonstrate the effectiveness of the proposed CCI avoidance mechanism and radio resource allocation algorithm in enhancing throughput in dense WLAN scenarios.
文摘2021年9月,重庆大学光电工程学院2019级研究生邓培芳以共同第一作者在IEEE Transactions on Geoscience and Remote Sensing期刊上发表了一篇题为“Vision Transformer:An Excellent Teacher for Guiding Small Networks in Remote Sensing Image Scene Classification”的研究论文。IEEE Transactions on Geoscience and Remote Sensing是IEEE出版的国际性、跨学科期刊,2022年被中国科学院划分为一区Top期刊。邓培芳同学(现在浙江大学攻读博士学位)在2019年暑假期间,加入重庆大学光电工程学院黄鸿教授课题组进行学习,开始本课题的研究工作。
文摘民用飞机客舱系统航电设备间交联采用了基于IEEE 802.3协议的菊花链网络,随着客舱电子设备数量增加,基于IEEE 802.3协议的菊花链网络面临传输时延增大、网络收敛时间变长、网络整体性能下降等一系列问题。针对上述问题,提出基于EtherCAT(Ethernet for Control Automation Technology)协议构建客舱系统菊花链网络,使用OPNET、Mininet网络仿真工具对该网络架构进行仿真验证。仿真结果显示,使用EtherCAT协议的菊花链网络在误码率、丢包和响应时延方面均优于IEEE 802.3协议,同时保证了网络的高效运行,EtherCAT协议菊花链网络的正确性和适用性得到验证。
文摘Check the CES TEMS Author’s Kit at http://www.cestems.org for the latest details.CES Transactions on Electrical Machines and Systems(CES TEMS) is an international quarterly journal,which is published by the China Electrotechnical Society (CES)and the Institute of Electrical Engineering of the Chinese Academy of Sciences,and technically co-sponsored by IEEE Power Electronics Society (IEEE PELS).CES TEMS is indexed by ESCI,EI,Scopus,IEEE Xplore,INSPEC,DOAJ,CSTPCD,CSCD and Google Scholar etc..
文摘This Special Topic of the Journal of Semiconductors(JOS)features expanded versions of key articles presented at the 2024 IEEE International Conference on Integrated Circuits Technologies and Applications(ICTA),which was held in Hangzhou,Zhejiang,China,from October 25 to 27,2024.
文摘Frank L.Lewis(Life Fellow,IEEE)received the Ph.D.degree from the Georgia Institute of Technology.He is currently a member of the National Academy of Inventors and the Moncrief-O'Donnell Chair with The University of Texas at Arlington Research Institute.He is the author of seven U.S.patents,numerous journal special issues and journal articles,and 20 books.
