To meet the ever-increasing traffic demand and enhance the coverage of cellular networks,network densification is one of the crucial paradigms of 5G and beyond mobile networks,which can improve system capacity by depl...To meet the ever-increasing traffic demand and enhance the coverage of cellular networks,network densification is one of the crucial paradigms of 5G and beyond mobile networks,which can improve system capacity by deploying a large number of Access Points(APs)in the service area.However,since the energy consumption of APs generally accounts for a substantial part of the communication system,how to deal with the consequent energy issue is a challenging task for a mobile network with densely deployed APs.In this paper,we propose an intelligent AP switching on/off scheme to reduce the system energy consumption with the prerequisite of guaranteeing the quality of service,where the signaling overhead is also taken into consideration to ensure the stability of the network.First,based on historical traffic data,a long short-term memory method is introduced to predict the future traffic distribution,by which we can roughly determine when the AP switching operation should be triggered;second,we present an efficient three-step AP selection strategy to determine which of the APs would be switched on or off;third,an AP switching scheme with a threshold is proposed to adjust the switching frequency so as to improve the stability of the system.Experiment results indicate that our proposed traffic forecasting method performs well in practical scenarios,where the normalized root mean square error is within 10%.Furthermore,the achieved energy-saving is more than 28% on average with a reasonable outage probability and switching frequency for an area served by 40 APs in a commercial mobile network.展开更多
The present paper studies the coalescence of pore columns in ferroelectric ceramics driven by back and forth domain switching under cyclic electric field. A finite element method that incorporates mass transfer capaci...The present paper studies the coalescence of pore columns in ferroelectric ceramics driven by back and forth domain switching under cyclic electric field. A finite element method that incorporates mass transfer capacity is formulated to simulate the evolution of point defects subjected to the kinetics of pore surface diffusion and domain wall migration. The merge of point defects provides a mechanism for the vacancy agglomeration that leads to the formation of large pores or microcracks.展开更多
以三相Vienna整流器为研究对象,针对有限集模型预测控制FCS-MPC(finite control set model predictive control)实现中点电位平衡控制时权重因子选取困难,采样周期内作用单一矢量引起网侧电流纹波较大的问题,提出一种基于双矢量的无权...以三相Vienna整流器为研究对象,针对有限集模型预测控制FCS-MPC(finite control set model predictive control)实现中点电位平衡控制时权重因子选取困难,采样周期内作用单一矢量引起网侧电流纹波较大的问题,提出一种基于双矢量的无权重型模型预测控制UF-MPC(unweighted factor model predictive control)策略。首先,构建基于功率预测的单目标价值函数。然后,通过扇区划分同时采用无权重因子的方式来提高单次寻优效率,根据直流侧中点电位的波动优选冗余小矢量,实现无权重因子的中点电位平衡控制。在获取最优矢量的基础上,结合零矢量实现了双矢量固定开关频率控制。最后,基于RT-LAB半实物平台从稳态、暂态、中点电位波动方面进行验证,有效证明了所提控制策略的正确性和有效性。展开更多
基金partially supported by the National Natural Science Foundation of China under Grants 61801208,61931023,and U1936202.
文摘To meet the ever-increasing traffic demand and enhance the coverage of cellular networks,network densification is one of the crucial paradigms of 5G and beyond mobile networks,which can improve system capacity by deploying a large number of Access Points(APs)in the service area.However,since the energy consumption of APs generally accounts for a substantial part of the communication system,how to deal with the consequent energy issue is a challenging task for a mobile network with densely deployed APs.In this paper,we propose an intelligent AP switching on/off scheme to reduce the system energy consumption with the prerequisite of guaranteeing the quality of service,where the signaling overhead is also taken into consideration to ensure the stability of the network.First,based on historical traffic data,a long short-term memory method is introduced to predict the future traffic distribution,by which we can roughly determine when the AP switching operation should be triggered;second,we present an efficient three-step AP selection strategy to determine which of the APs would be switched on or off;third,an AP switching scheme with a threshold is proposed to adjust the switching frequency so as to improve the stability of the system.Experiment results indicate that our proposed traffic forecasting method performs well in practical scenarios,where the normalized root mean square error is within 10%.Furthermore,the achieved energy-saving is more than 28% on average with a reasonable outage probability and switching frequency for an area served by 40 APs in a commercial mobile network.
基金The project supported by the National Natural Science Foundation of China (10332020 and 10121202)the National 973 Project (2004CB619304)
文摘The present paper studies the coalescence of pore columns in ferroelectric ceramics driven by back and forth domain switching under cyclic electric field. A finite element method that incorporates mass transfer capacity is formulated to simulate the evolution of point defects subjected to the kinetics of pore surface diffusion and domain wall migration. The merge of point defects provides a mechanism for the vacancy agglomeration that leads to the formation of large pores or microcracks.
文摘以三相Vienna整流器为研究对象,针对有限集模型预测控制FCS-MPC(finite control set model predictive control)实现中点电位平衡控制时权重因子选取困难,采样周期内作用单一矢量引起网侧电流纹波较大的问题,提出一种基于双矢量的无权重型模型预测控制UF-MPC(unweighted factor model predictive control)策略。首先,构建基于功率预测的单目标价值函数。然后,通过扇区划分同时采用无权重因子的方式来提高单次寻优效率,根据直流侧中点电位的波动优选冗余小矢量,实现无权重因子的中点电位平衡控制。在获取最优矢量的基础上,结合零矢量实现了双矢量固定开关频率控制。最后,基于RT-LAB半实物平台从稳态、暂态、中点电位波动方面进行验证,有效证明了所提控制策略的正确性和有效性。
