针对新型电力系统协同调控对传输网络提出了超大带宽、多业务感知承载、确定性传输、绿色低碳的要求,围绕细粒度光传送网(fine-grained Optical Transport Network,fgOTN)组网策略展开研究,通过对比分析,明确了fgOTN传输网中多类业务的...针对新型电力系统协同调控对传输网络提出了超大带宽、多业务感知承载、确定性传输、绿色低碳的要求,围绕细粒度光传送网(fine-grained Optical Transport Network,fgOTN)组网策略展开研究,通过对比分析,明确了fgOTN传输网中多类业务的承载平面,并分别提出了从同步数字体系传输网和光传送网向fgOTN传输网平滑演进的可行性方案,并对fgOTN传输网的建设方案及光路子系统配置提出了推荐性建议,对电力系统骨干传输网向fgOTN的演进具有一定的指导意义。展开更多
针对可见光通信(visible light communication,VLC)系统中用户分布动态变化及非理想信道状态信息(channel state information,CSI)反馈带来的性能退化问题,对两用户协作非正交多址接入(non-orthogonal multiple access,NOMA)VLC系统进...针对可见光通信(visible light communication,VLC)系统中用户分布动态变化及非理想信道状态信息(channel state information,CSI)反馈带来的性能退化问题,对两用户协作非正交多址接入(non-orthogonal multiple access,NOMA)VLC系统进行了研究。建立了基于远端用户位置分布的信道增益概率密度函数模型,并推导了系统误比特概率(bit error probability,BEP)的解析表达式。在此基础上,结合最大比合并(maximal ratio combining,MRC)技术,对协作与非协作系统性能进行了对比分析。仿真结果表明:随信噪比增加,采用MRC的协作系统能够显著提升系统性能,并有效降低BEP;在对比的L-脉冲位置调制(pulse position modulation,PPM)和开关键控(on-off keying,OOK)调制方式中,8-PPM表现最佳,其次为4-PPM与OOK,而2-PPM性能最差;系统性能随外环半径减小而改善,说明外环参数对动态分布用户的覆盖性能影响更为显著;此外,非理想CSI会导致误码率上升,验证了精确信道估计的重要性。所建立的动态信道模型和协作机制为NOMA-VLC系统在智能家居与工业物联网中的应用提供了理论支撑。展开更多
Frequency hopping(FH)communication has good anti-fading,anti-jamming and anti-eavesdropping capabilities,so it is one of the main ways to combat electronic jamming.In order to further improve the anti-jamming capabili...Frequency hopping(FH)communication has good anti-fading,anti-jamming and anti-eavesdropping capabilities,so it is one of the main ways to combat electronic jamming.In order to further improve the anti-jamming capability of FH communication,the parameters such as fixed frequency interval,hopping rate and hopping frequency in conventional FH can be assigned with time-varying characteristics.In order to set appropriate hopping parameters to improve the performance of the system in the electromagnetic environment with various types of jamming,a heuristically accelerated Q-learning(HAQL)method is proposed in this paper.Firstly,a theoretical model for the parameter decision-making of FH system is made,and the key parameters affecting the energy efficiency of the system are analyzed.Secondly,a Q-learning model in complex electromagnetic environment is proposed,which includes setting states,actions and rewards,as well as a HAQL-based decisionmaking algorithm is put forward.Lastly,simulations are carried out under different jamming environments,and simulation results show that the average energy efficiency of HAQL algorithm is higher than that of the SARSA algorithm,the e-greedy QL algorithm and the HQL-OSGM algorithm,respectively.展开更多
文摘针对新型电力系统协同调控对传输网络提出了超大带宽、多业务感知承载、确定性传输、绿色低碳的要求,围绕细粒度光传送网(fine-grained Optical Transport Network,fgOTN)组网策略展开研究,通过对比分析,明确了fgOTN传输网中多类业务的承载平面,并分别提出了从同步数字体系传输网和光传送网向fgOTN传输网平滑演进的可行性方案,并对fgOTN传输网的建设方案及光路子系统配置提出了推荐性建议,对电力系统骨干传输网向fgOTN的演进具有一定的指导意义。
文摘针对可见光通信(visible light communication,VLC)系统中用户分布动态变化及非理想信道状态信息(channel state information,CSI)反馈带来的性能退化问题,对两用户协作非正交多址接入(non-orthogonal multiple access,NOMA)VLC系统进行了研究。建立了基于远端用户位置分布的信道增益概率密度函数模型,并推导了系统误比特概率(bit error probability,BEP)的解析表达式。在此基础上,结合最大比合并(maximal ratio combining,MRC)技术,对协作与非协作系统性能进行了对比分析。仿真结果表明:随信噪比增加,采用MRC的协作系统能够显著提升系统性能,并有效降低BEP;在对比的L-脉冲位置调制(pulse position modulation,PPM)和开关键控(on-off keying,OOK)调制方式中,8-PPM表现最佳,其次为4-PPM与OOK,而2-PPM性能最差;系统性能随外环半径减小而改善,说明外环参数对动态分布用户的覆盖性能影响更为显著;此外,非理想CSI会导致误码率上升,验证了精确信道估计的重要性。所建立的动态信道模型和协作机制为NOMA-VLC系统在智能家居与工业物联网中的应用提供了理论支撑。
基金State Key Program of National Natural Science of China under grant nos.U19B2016。
文摘Frequency hopping(FH)communication has good anti-fading,anti-jamming and anti-eavesdropping capabilities,so it is one of the main ways to combat electronic jamming.In order to further improve the anti-jamming capability of FH communication,the parameters such as fixed frequency interval,hopping rate and hopping frequency in conventional FH can be assigned with time-varying characteristics.In order to set appropriate hopping parameters to improve the performance of the system in the electromagnetic environment with various types of jamming,a heuristically accelerated Q-learning(HAQL)method is proposed in this paper.Firstly,a theoretical model for the parameter decision-making of FH system is made,and the key parameters affecting the energy efficiency of the system are analyzed.Secondly,a Q-learning model in complex electromagnetic environment is proposed,which includes setting states,actions and rewards,as well as a HAQL-based decisionmaking algorithm is put forward.Lastly,simulations are carried out under different jamming environments,and simulation results show that the average energy efficiency of HAQL algorithm is higher than that of the SARSA algorithm,the e-greedy QL algorithm and the HQL-OSGM algorithm,respectively.
