In order to identify the tilt direction of the self-mixing signals under weak feedback regime interfered by noise,a deep learning method is proposed.The one-dimensional U-Net(1D U-Net)neural network can identify the d...In order to identify the tilt direction of the self-mixing signals under weak feedback regime interfered by noise,a deep learning method is proposed.The one-dimensional U-Net(1D U-Net)neural network can identify the direction of the self-mixing fringes accurately and quickly.In the process of measurement,the measurement signal can be normalized and then the neural network can be used to discriminate the direction.Simulation and experimental results show that the proposed method is suitable for self-mixing interference signals with noise in the whole weak feedback regime,and can maintain a high discrimination accuracy for signals interfered by 5 dB large noise.Combined with fringe counting method,accurate and rapid displacement reconstruction can be realized.展开更多
Next-Generation(NextG)wireless communication networks with their widespread applications require high data rates,seamless connectivity and high quality of service(QoS).To cope up with an unprecedented rise of data hun...Next-Generation(NextG)wireless communication networks with their widespread applications require high data rates,seamless connectivity and high quality of service(QoS).To cope up with an unprecedented rise of data hungry applications,users demand more spectral resources imposing a limitation on available wireless spectrum.One of the potential solutions to address the spectrum scarce issue is to incorporate in band full duplex(IBFD)or full duplex(FD)paradigm in next generation networks including 5G new radio(NR).Recently,FD has gained the research interest in cellular networks for its potential to double the wireless link capacity and enhancing spectral efficiency(SE).In half duplex(HD)cellular networks,base stations(BSs)can either perform uplink(UL)or downlink(DL)transmission at a particular time instant leading to reduced throughput levels.Due to the advancement in the self interference reduction(SIR)techniques,full duplex base stations(FD-BSs)can be employed to allow simultaneous UL and DL transmissions at the same time–frequency resources as compared to its HD counterpart.It ideally achieves twice the throughput without any additional complexity at user-equipment(UE).This paper covers a detailed survey on FD cellular networks.A series of SIR approaches,UE-UE mitigation techniques are summarized.Various existing MAC protocols and antenna architectures for FD cellular networks are outlined.An overview of security aspects for FD in cellular networks is also presented.Lastly,various open issues and possible research directions are brought up for FD cellular networks.展开更多
Recent researches show that it is possible to achieve full-duplex system if the self-interference signal could be cancelled completely for 6G research.The majority of the overall self-interference cancellation is cont...Recent researches show that it is possible to achieve full-duplex system if the self-interference signal could be cancelled completely for 6G research.The majority of the overall self-interference cancellation is contributed by passive cancellation.The lowest complexity cancellation technique is digital cancellation.Therefore,this paper presents a novel passive cancellation technique based on multi-path effect and a novel digital cancellation method considering nonlinearity factor in full-duplex system.Therein,for passive cancellation method,theoretical analysis is presented and practical experiments show that it can achieve about 50 dB only in 10-cm space.For digital cancellation method,a model based on practical platform is given and it can achieve about 30 dB under high transmit power.In addition,two relay schemes based on full-duplex for two-way relay channel called FD-DF(full-duplex decode-and-forward)and FD-AF(full-duplex amplify-and-forward)are presented.Two proposed schemes can nearly double the system throughputs especially in high signal-to-noise radio regions compared with traditional AF scheme.展开更多
文摘In order to identify the tilt direction of the self-mixing signals under weak feedback regime interfered by noise,a deep learning method is proposed.The one-dimensional U-Net(1D U-Net)neural network can identify the direction of the self-mixing fringes accurately and quickly.In the process of measurement,the measurement signal can be normalized and then the neural network can be used to discriminate the direction.Simulation and experimental results show that the proposed method is suitable for self-mixing interference signals with noise in the whole weak feedback regime,and can maintain a high discrimination accuracy for signals interfered by 5 dB large noise.Combined with fringe counting method,accurate and rapid displacement reconstruction can be realized.
文摘Next-Generation(NextG)wireless communication networks with their widespread applications require high data rates,seamless connectivity and high quality of service(QoS).To cope up with an unprecedented rise of data hungry applications,users demand more spectral resources imposing a limitation on available wireless spectrum.One of the potential solutions to address the spectrum scarce issue is to incorporate in band full duplex(IBFD)or full duplex(FD)paradigm in next generation networks including 5G new radio(NR).Recently,FD has gained the research interest in cellular networks for its potential to double the wireless link capacity and enhancing spectral efficiency(SE).In half duplex(HD)cellular networks,base stations(BSs)can either perform uplink(UL)or downlink(DL)transmission at a particular time instant leading to reduced throughput levels.Due to the advancement in the self interference reduction(SIR)techniques,full duplex base stations(FD-BSs)can be employed to allow simultaneous UL and DL transmissions at the same time–frequency resources as compared to its HD counterpart.It ideally achieves twice the throughput without any additional complexity at user-equipment(UE).This paper covers a detailed survey on FD cellular networks.A series of SIR approaches,UE-UE mitigation techniques are summarized.Various existing MAC protocols and antenna architectures for FD cellular networks are outlined.An overview of security aspects for FD in cellular networks is also presented.Lastly,various open issues and possible research directions are brought up for FD cellular networks.
基金supported by the Natural Science Foundation of China(NSFC)(grant no.62088101).
文摘Recent researches show that it is possible to achieve full-duplex system if the self-interference signal could be cancelled completely for 6G research.The majority of the overall self-interference cancellation is contributed by passive cancellation.The lowest complexity cancellation technique is digital cancellation.Therefore,this paper presents a novel passive cancellation technique based on multi-path effect and a novel digital cancellation method considering nonlinearity factor in full-duplex system.Therein,for passive cancellation method,theoretical analysis is presented and practical experiments show that it can achieve about 50 dB only in 10-cm space.For digital cancellation method,a model based on practical platform is given and it can achieve about 30 dB under high transmit power.In addition,two relay schemes based on full-duplex for two-way relay channel called FD-DF(full-duplex decode-and-forward)and FD-AF(full-duplex amplify-and-forward)are presented.Two proposed schemes can nearly double the system throughputs especially in high signal-to-noise radio regions compared with traditional AF scheme.
