A novel joint optimization strategy for the secondary user( SU) was proposed to consider the short-term and long-term video transmissions over distributed cognitive radio networks( DCRNs).Since the long-term video tra...A novel joint optimization strategy for the secondary user( SU) was proposed to consider the short-term and long-term video transmissions over distributed cognitive radio networks( DCRNs).Since the long-term video transmission consisted of a series of shortterm transmissions, the optimization problem in the video transmission was a composite optimization process. Firstly,considering some factors like primary user's( PU's) collision limitations,non-synchronization between SU and PU,and SU's limited buffer size, the short-term optimization problem was formulated as a mixed integer non-linear program( MINLP) to minimize the block probability of video packets. Secondly,combining the minimum packet block probability obtained in shortterm optimization and SU's constraint on hardware complexity,the partially observable Markov decision process( POMDP) framework was proposed to learn PU's statistic information over DCRNs.Moreover,based on the proposed framework,joint optimization strategy was designed to obtain the minimum packet loss rate in long-term video transmission. Numerical simulation results were provided to demonstrate validity of our strategies.展开更多
We investigate the approximating capability of Markov modulated Poisson processes (MMPP) for modeling multifractal Internet traffic. The choice of MMPP is motivated by its ability to capture the variability and correl...We investigate the approximating capability of Markov modulated Poisson processes (MMPP) for modeling multifractal Internet traffic. The choice of MMPP is motivated by its ability to capture the variability and correlation in moderate time scales while being analytically tractable. Important statistics of traffic burstiness are described and a customized moment-based fitting procedure of MMPP to traffic traces is presented. Our methodology of doing this is to examine whether the MMPP can be used to predict the performance of a queue to which MMPP sample paths and measured traffic traces are fed for comparison respectively, in addition to the goodness-of-fit test of MMPP. Numerical results and simulations show that the fitted MMPP can approximate multifractal traffic quite well, i.e. accurately predict the queueing performance.展开更多
随着分布式新能源渗透率不断提高,智能配电网电力电子化趋势明显,电气参数更加复杂,亟需研究适用于配电网的同步相量测量装置(Synchrophasor measurement unit for distribution network,D-PMU)。然而,现有通信协议与条件无法满足D-PMU...随着分布式新能源渗透率不断提高,智能配电网电力电子化趋势明显,电气参数更加复杂,亟需研究适用于配电网的同步相量测量装置(Synchrophasor measurement unit for distribution network,D-PMU)。然而,现有通信协议与条件无法满足D-PMU的接入需求。针对该问题,该文设计一种适用于D-PMU的基频相量、谐波/间谐波同步测量、异步传输的结构框架,提出一种谐波/间谐波的数据传输协议,减少了通信负担。在上述框架的条件下,分析网络通信延时与丢包率的影响因素,搭建通信性能测试平台,进行通信性能实际测试,验证所提通信方法的可行性,并根据测试结果提出一种D-PMU通信接入参数的设置方法。展开更多
基金National Natural Science Foundation of China(No.61301101)
文摘A novel joint optimization strategy for the secondary user( SU) was proposed to consider the short-term and long-term video transmissions over distributed cognitive radio networks( DCRNs).Since the long-term video transmission consisted of a series of shortterm transmissions, the optimization problem in the video transmission was a composite optimization process. Firstly,considering some factors like primary user's( PU's) collision limitations,non-synchronization between SU and PU,and SU's limited buffer size, the short-term optimization problem was formulated as a mixed integer non-linear program( MINLP) to minimize the block probability of video packets. Secondly,combining the minimum packet block probability obtained in shortterm optimization and SU's constraint on hardware complexity,the partially observable Markov decision process( POMDP) framework was proposed to learn PU's statistic information over DCRNs.Moreover,based on the proposed framework,joint optimization strategy was designed to obtain the minimum packet loss rate in long-term video transmission. Numerical simulation results were provided to demonstrate validity of our strategies.
文摘We investigate the approximating capability of Markov modulated Poisson processes (MMPP) for modeling multifractal Internet traffic. The choice of MMPP is motivated by its ability to capture the variability and correlation in moderate time scales while being analytically tractable. Important statistics of traffic burstiness are described and a customized moment-based fitting procedure of MMPP to traffic traces is presented. Our methodology of doing this is to examine whether the MMPP can be used to predict the performance of a queue to which MMPP sample paths and measured traffic traces are fed for comparison respectively, in addition to the goodness-of-fit test of MMPP. Numerical results and simulations show that the fitted MMPP can approximate multifractal traffic quite well, i.e. accurately predict the queueing performance.
文摘随着分布式新能源渗透率不断提高,智能配电网电力电子化趋势明显,电气参数更加复杂,亟需研究适用于配电网的同步相量测量装置(Synchrophasor measurement unit for distribution network,D-PMU)。然而,现有通信协议与条件无法满足D-PMU的接入需求。针对该问题,该文设计一种适用于D-PMU的基频相量、谐波/间谐波同步测量、异步传输的结构框架,提出一种谐波/间谐波的数据传输协议,减少了通信负担。在上述框架的条件下,分析网络通信延时与丢包率的影响因素,搭建通信性能测试平台,进行通信性能实际测试,验证所提通信方法的可行性,并根据测试结果提出一种D-PMU通信接入参数的设置方法。
文摘电力设备数字孪生技术的发展推动了各类新型传感技术在电力行业中的应用,并亟需一条稳定、明确的数据上云渠道,以供给电力设备孪生体进行更加深入的状态分析及故障预测。为此,研制了一种带有金属反射板的双天线射频识别(radio frequency identification,RFID)加速度与温度传感器,并设计了RFID传感系统内的数据包格式以及传感数据经由边缘网关通过4G网络以消息队列遥测传输(messagequeuingtelemetrytransport,MQTT)协议上传至物联网云平台的数据传输通道,然后以OFPSZ-150000/220变压器为例进行了传感器测试和数据传输协议的应用。结果表明:所设计的数据传输协议丢包率主要存在于RFID传感器信道内,在2 m内的丢包率为11.3%,在最远通信距离3 m处的丢包率为38.2%,在数据经由边缘网关上云的信道中几乎不存在数据包的丢失问题。研究表明所设计的RFID传感器具有一定的实用性,且数据通信协议通道是稳定可靠的。
