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典型文献
Autoencoder with Fitting Network for Terahertz Wireless Communications:A Deep Learning Approach
文献摘要:
Terahertz wireless communication has been regarded as an emerging technology to satisfy the ever-increasing demand of ultra-high-speed wireless communications.However,affected by the imperfec-tions of cheap and energy-efficient Terahertz devices,Terahertz signals suffer from serve hybrid distortions,including in-phase/quadrature imbalance,phase noise and nonlinearity,which degrade the demodulation per-formance significantly.To improve the robustness against these hybrid distortions,an improved autoen-coder is proposed,which includes coding the transmit-ted symbols at the transmitter and decoding the corre-sponding signals at the receiver.Moreover,due to the lack of information of Terahertz channel during the training of the autoencoder,a fitting network is pro-posed to approximate the characteristics of Terahertz channel,which provides an approximation of the gra-dients of loss.Simulation results show that our pro-posed autoencoder with fitting network can recover the transmitted symbols under serious hybrid distortions,and improves the demodulation performance signifi-cantly.
文献关键词:
作者姓名:
Zhaohui Huang;Dongxuan He;Jiaxuan Chen;Zhaocheng Wang;Sheng Chen
作者机构:
Beijing National Research Center for Information Science and Technology,Department of Electronic Engineering,Tsinghua University,Beijing 100084,China;Shenzhen International Graduate School,Tsinghua Univeristy,Shenzhen 518055,China;School of Electronics and Computer Science,University of Southampton,Southampton SO17 1BJ,U.K.
引用格式:
[1]Zhaohui Huang;Dongxuan He;Jiaxuan Chen;Zhaocheng Wang;Sheng Chen-.Autoencoder with Fitting Network for Terahertz Wireless Communications:A Deep Learning Approach)[J].中国通信(英文版),2022(03):172-180
A类:
imperfec,autoen
B类:
Autoencoder,Fitting,Network,Terahertz,Wireless,Communications,Deep,Learning,Approach,wireless,been,regarded,emerging,technology,satisfy,increasing,demand,ultra,high,speed,communications,However,affected,by,cheap,energy,efficient,devices,signals,suffer,from,serve,hybrid,distortions,including,phase,quadrature,imbalance,noise,nonlinearity,which,degrade,demodulation,significantly,To,robustness,against,these,improved,proposed,includes,symbols,transmitter,decoding,corre,sponding,receiver,Moreover,due,lack,information,channel,during,training,autoencoder,fitting,network,approximate,characteristics,provides,approximation,dients,loss,Simulation,results,show,that,our,recover,transmitted,under,serious,improves,performance
AB值:
0.552473
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