Mobile payment is entering into an era of offline scenarios.According to the quarterly monitoring report about China’s Q2 third-party mobile payment released by Enfodesk on September 15,China’s thirdparty mobile pay...Mobile payment is entering into an era of offline scenarios.According to the quarterly monitoring report about China’s Q2 third-party mobile payment released by Enfodesk on September 15,China’s thirdparty mobile payment market scale reached RMB 3.5 trillion in Q2,up 22.81% month-on-month.The market generally keeps a stable structure—Alipay dominating the first position with an overwhelmingly market share of 74.31%,Mowed by Tenpay(WeChat pay and QQpurse)with a market share of 13.18% and Lakala with a market share of 6.3%.展开更多
Physical layer authentication(PLA)in the context of the Internet of Things(IoT)has gained significant attention.Compared with traditional encryption and blockchain technologies,PLA provides a more computationally effi...Physical layer authentication(PLA)in the context of the Internet of Things(IoT)has gained significant attention.Compared with traditional encryption and blockchain technologies,PLA provides a more computationally efficient alternative to exploiting the properties of the wireless medium itself.Some existing PLA solutions rely on static mechanisms,which are insufficient to address the authentication challenges in fifth generation(5G)and beyond wireless networks.Additionally,with the massive increase in mobile device access,the communication security of the IoT is vulnerable to spoofing attacks.To overcome the above challenges,this paper proposes a lightweight deep convolutional neural network(CNN)equipped with squeeze and excitation module(SE module)in dynamic wireless environments,namely SE-ConvNet.To be more specific,a convolution factorization is developed to reduce the complexity of PLA models based on deep learning.Moreover,an SE module is designed in the deep CNN to enhance useful features andmaximize authentication accuracy.Compared with the existing solutions,the proposed SE-ConvNet enabled PLA scheme performs excellently in mobile and time-varying wireless environments while maintaining lower computational complexity.展开更多
To achieve robust communication in high mobility scenarios,an iterative equalization algorithm based on alternating minimization(AM)is proposed for the orthogonal time frequency space(OTFS)system.The algorithm approxi...To achieve robust communication in high mobility scenarios,an iterative equalization algorithm based on alternating minimization(AM)is proposed for the orthogonal time frequency space(OTFS)system.The algorithm approximates the equalization problem to a convex function optimization problem in the real-valued domain and solves the problem iteratively using the AM algorithm.In the iterative process,the complexity of the proposed algorithm is reduced further based on the study of the cyclic structure and sparse property of the OTFS channel matrix in the delay-Doppler(DD)domain.The new method for OTFS is simulated and verified in a high-speed mobile scenario and the results show that the proposed equalization algorithm has excellent bit error rate performance with low complexity.展开更多
5G is the hottest topic in telecommunication area in recent years.ITU has defined 5G as IMT-2020,and presented the scenarios of IMT-2020.These scenarios for IMT-2020 can be concluded as follows：-Enhanced Mobile Broad...5G is the hottest topic in telecommunication area in recent years.ITU has defined 5G as IMT-2020,and presented the scenarios of IMT-2020.These scenarios for IMT-2020 can be concluded as follows：-Enhanced Mobile Broadband：Mobile Broadband addresses the human-centric use cases for access to multi-media content,services and data.The demand for mobile展开更多
文摘Mobile payment is entering into an era of offline scenarios.According to the quarterly monitoring report about China’s Q2 third-party mobile payment released by Enfodesk on September 15,China’s thirdparty mobile payment market scale reached RMB 3.5 trillion in Q2,up 22.81% month-on-month.The market generally keeps a stable structure—Alipay dominating the first position with an overwhelmingly market share of 74.31%,Mowed by Tenpay(WeChat pay and QQpurse)with a market share of 13.18% and Lakala with a market share of 6.3%.
基金supported in part by the National Key R&D Program of China under grant no.2022YFB2703000in part by the Young Backbone Teachers Support Plan of BISTU under grant no.YBT202437+1 种基金in part by the R&D Program of Beijing Municipal Education Commission under grant no.KM202211232012in part by the Educational Innovation Program of BISTU under grant no.2025JGYB19。
文摘Physical layer authentication(PLA)in the context of the Internet of Things(IoT)has gained significant attention.Compared with traditional encryption and blockchain technologies,PLA provides a more computationally efficient alternative to exploiting the properties of the wireless medium itself.Some existing PLA solutions rely on static mechanisms,which are insufficient to address the authentication challenges in fifth generation(5G)and beyond wireless networks.Additionally,with the massive increase in mobile device access,the communication security of the IoT is vulnerable to spoofing attacks.To overcome the above challenges,this paper proposes a lightweight deep convolutional neural network(CNN)equipped with squeeze and excitation module(SE module)in dynamic wireless environments,namely SE-ConvNet.To be more specific,a convolution factorization is developed to reduce the complexity of PLA models based on deep learning.Moreover,an SE module is designed in the deep CNN to enhance useful features andmaximize authentication accuracy.Compared with the existing solutions,the proposed SE-ConvNet enabled PLA scheme performs excellently in mobile and time-varying wireless environments while maintaining lower computational complexity.
基金supported by the 54th Research Institute of China E lectronics Technology Group Corporation(SKX212010007)。
文摘To achieve robust communication in high mobility scenarios,an iterative equalization algorithm based on alternating minimization(AM)is proposed for the orthogonal time frequency space(OTFS)system.The algorithm approximates the equalization problem to a convex function optimization problem in the real-valued domain and solves the problem iteratively using the AM algorithm.In the iterative process,the complexity of the proposed algorithm is reduced further based on the study of the cyclic structure and sparse property of the OTFS channel matrix in the delay-Doppler(DD)domain.The new method for OTFS is simulated and verified in a high-speed mobile scenario and the results show that the proposed equalization algorithm has excellent bit error rate performance with low complexity.
文摘5G is the hottest topic in telecommunication area in recent years.ITU has defined 5G as IMT-2020,and presented the scenarios of IMT-2020.These scenarios for IMT-2020 can be concluded as follows：-Enhanced Mobile Broadband：Mobile Broadband addresses the human-centric use cases for access to multi-media content,services and data.The demand for mobile
