This paper aimed to propose two algorithms,DA-M and RF-M,of reducing the impact of multipath interference(MPI)on intensity modulation direct detection(IM-DD)systems,particularly for four-level pulse amplitude modulati...This paper aimed to propose two algorithms,DA-M and RF-M,of reducing the impact of multipath interference(MPI)on intensity modulation direct detection(IM-DD)systems,particularly for four-level pulse amplitude modulation(PAM4)systems.DA-M reduced the fluctuation by averaging the signal in blocks,RF-M estimated MPI by subtracting the decision value of the corresponding block from the mean value of a signal block,and then generated interference-reduced samples by subtracting the interference signal from the product of the corresponding MPI estimate and then weighting factor.This paper firstly proposed to separate the signal before decision-making into multiple blocks,which significantly reduced the complexity of DA-M and RF-M.Simulation results showed that the MPI noise of 28 GBaud IMDD system under the linewidths of 1e5 Hz,1e6 Hz and 10e6 Hz can be effectively alleviated.展开更多
面向数据中心短距光互连传输的强度调制与直接检测(intensity modulation and direct detection,IM-DD)技术,在光纤低损耗窗口C波段传输时,色散效应将引入严重的频率选择性功率衰退问题。从IM-DD系统色散损伤理论分析入手,阐述了利用单...面向数据中心短距光互连传输的强度调制与直接检测(intensity modulation and direct detection,IM-DD)技术,在光纤低损耗窗口C波段传输时,色散效应将引入严重的频率选择性功率衰退问题。从IM-DD系统色散损伤理论分析入手,阐述了利用单边带(single side band,SSB)调制技术实现高色散鲁棒性传输的机理,并对系统设计的关键问题进行了讨论与综述,包括4种SSB信号的生成方式、2类信号调制格式和2种提取SSB信号线性映射项的数字信号处理(digital signal processing,DSP)算法。通过搭建SSB系统仿真分析平台,对信号生成方式、调制格式、DSP算法进行了对比与评价。通过对SSB调制光互连传输系统的理论与技术研究分析、关键参数讨论,将为实际高色散鲁棒性短距光互连系统的设计和评估提供指导。展开更多
为实现高速光通信系统高效低成本测试的目标,基于施密特正交化过程(GSOP,Gram-Schmidt orthogonalizationprocedure),提出了一种适用于偏振复用—多进制正交幅度调制(PDM-MQAM)相干光通信系统的正交不平衡损伤估计(IQ-ImEstimation, IQ ...为实现高速光通信系统高效低成本测试的目标,基于施密特正交化过程(GSOP,Gram-Schmidt orthogonalizationprocedure),提出了一种适用于偏振复用—多进制正交幅度调制(PDM-MQAM)相干光通信系统的正交不平衡损伤估计(IQ-ImEstimation, IQ imbalance estimation)算法。根据同相信号和正交信号两路信号功率关系及相关性,设计幅度失配估计和相位失配估计2种方案。通过对34GBaudPDM-MQAM相干光通信系统进行仿真与实验,验证了IQ-ImEstimation算法的正确性和有效性。展开更多
The new applications surge with the rapid evolution of the mobile communications.The explosive growth of the data traffic aroused by the new applications has posed great computing pressure on the local side.It is esse...The new applications surge with the rapid evolution of the mobile communications.The explosive growth of the data traffic aroused by the new applications has posed great computing pressure on the local side.It is essential to innovate the computation offloading methods to alleviate the local computing burden and improve the offloading efficiency.Mobile edge computing(MEC)assisted by reflecting intelligent surfaces(RIS)-based unmanned aerial vehicle(UAV)is a promising method to assist the users in executing the computation tasks in proximity at low cost.In this paper,we propose an energy-efficient MEC system assisted by RIS-based UAV,where the UAV with RIS mounted relays the computation tasks to the MEC server.The energy efficiency maximization problem is formulated by jointly optimizing the UAV's trajectory,the transmission power of all users,and the phase shifts of the reflecting elements placed on the UAV.Considering that the optimization problem is non-convex,we propose a deep deterministic policy gradient(DDPG)-based algorithm.By combining the DDPG algorithm with the energy efficiency maximization problem,the optimization problem can be resolved.Finally,the numerical results are illustrated to show the performance of the system and the superiority compared with the benchmark schemes.展开更多
基金supported by the National Key Research and Development Program of China 2021YFB2900801the Young Elite Scientists Sponsorship Program of CIC 2021QNRC001+1 种基金National Natural Science Foundation of China NSFC,62201033,U22A2005the Foundation of the Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services.
文摘This paper aimed to propose two algorithms,DA-M and RF-M,of reducing the impact of multipath interference(MPI)on intensity modulation direct detection(IM-DD)systems,particularly for four-level pulse amplitude modulation(PAM4)systems.DA-M reduced the fluctuation by averaging the signal in blocks,RF-M estimated MPI by subtracting the decision value of the corresponding block from the mean value of a signal block,and then generated interference-reduced samples by subtracting the interference signal from the product of the corresponding MPI estimate and then weighting factor.This paper firstly proposed to separate the signal before decision-making into multiple blocks,which significantly reduced the complexity of DA-M and RF-M.Simulation results showed that the MPI noise of 28 GBaud IMDD system under the linewidths of 1e5 Hz,1e6 Hz and 10e6 Hz can be effectively alleviated.
文摘面向数据中心短距光互连传输的强度调制与直接检测(intensity modulation and direct detection,IM-DD)技术,在光纤低损耗窗口C波段传输时,色散效应将引入严重的频率选择性功率衰退问题。从IM-DD系统色散损伤理论分析入手,阐述了利用单边带(single side band,SSB)调制技术实现高色散鲁棒性传输的机理,并对系统设计的关键问题进行了讨论与综述,包括4种SSB信号的生成方式、2类信号调制格式和2种提取SSB信号线性映射项的数字信号处理(digital signal processing,DSP)算法。通过搭建SSB系统仿真分析平台,对信号生成方式、调制格式、DSP算法进行了对比与评价。通过对SSB调制光互连传输系统的理论与技术研究分析、关键参数讨论,将为实际高色散鲁棒性短距光互连系统的设计和评估提供指导。
文摘为实现高速光通信系统高效低成本测试的目标,基于施密特正交化过程(GSOP,Gram-Schmidt orthogonalizationprocedure),提出了一种适用于偏振复用—多进制正交幅度调制(PDM-MQAM)相干光通信系统的正交不平衡损伤估计(IQ-ImEstimation, IQ imbalance estimation)算法。根据同相信号和正交信号两路信号功率关系及相关性,设计幅度失配估计和相位失配估计2种方案。通过对34GBaudPDM-MQAM相干光通信系统进行仿真与实验,验证了IQ-ImEstimation算法的正确性和有效性。
基金supported by National Key Research and Development Program of China(2021YFB2900801)supported by Guangdong Basic and Applied Basic Research Foundation(2022A1515110335)+2 种基金supported by Fundamental Research Funds for the Central Universities(FRF-TP-22-094A1)supported by Science,Technology and Innovation Project of Xiongan New Area(2022XAGG0114)supported by Meteorological information and Signal Processing Key Laboratory of Sichuan Higher Education Institutes of Chengdu University of Information Technology(CXHCL202201).
文摘The new applications surge with the rapid evolution of the mobile communications.The explosive growth of the data traffic aroused by the new applications has posed great computing pressure on the local side.It is essential to innovate the computation offloading methods to alleviate the local computing burden and improve the offloading efficiency.Mobile edge computing(MEC)assisted by reflecting intelligent surfaces(RIS)-based unmanned aerial vehicle(UAV)is a promising method to assist the users in executing the computation tasks in proximity at low cost.In this paper,we propose an energy-efficient MEC system assisted by RIS-based UAV,where the UAV with RIS mounted relays the computation tasks to the MEC server.The energy efficiency maximization problem is formulated by jointly optimizing the UAV's trajectory,the transmission power of all users,and the phase shifts of the reflecting elements placed on the UAV.Considering that the optimization problem is non-convex,we propose a deep deterministic policy gradient(DDPG)-based algorithm.By combining the DDPG algorithm with the energy efficiency maximization problem,the optimization problem can be resolved.Finally,the numerical results are illustrated to show the performance of the system and the superiority compared with the benchmark schemes.
