The ergodic capacity of device-to-device （D2D） communication underlaying cellular networks is analyzed. First,the D2D communication model is introduced and the interference during uplink period and downlink period i...
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The ergodic capacity of device-to-device （D2D） communication underlaying cellular networks is analyzed. First,the D2D communication model is introduced and the interference during uplink period and downlink period is *** a D2D communication system,since it is very difficult to obtain the instantaneous channel state information （CSI）,assume that only the transmitters know the statistical CSI and the channel coefficient follows an independent complex Gaussian *** on the assumptions,for the uplink period,the signal to interference plus noise ratio （SINR）of the D2D user equipments（DUEs）is expressed. Then the cumulative distribution function （CDF ） and probability distribution function （PDF）formulae of the SINR of the DUEs are *** on the SINR formulae during the uplink period,the ergodic capacity formula of the uplink period is derived. Subsequently, using the same methods,the ergodic capacity formula of the downlink period is *** simulation results show that the DUEs can still obtain a high ergodic capacity even in the case of a large number of *** result can be applied to the design and optimization of D2D communications.
概率假设密度(Probability Hypothesis Density,PHD)滤波器的序贯蒙特卡罗(Sequential Monte Carlo,SMC)实现需要大量的粒子。为了解决其计算的有效性,本文提出一种改进的SMC-PHD滤波器,称之为似然值波门SMC-PHD滤波器。首先,以所有预...
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概率假设密度(Probability Hypothesis Density,PHD)滤波器的序贯蒙特卡罗(Sequential Monte Carlo,SMC)实现需要大量的粒子。为了解决其计算的有效性,本文提出一种改进的SMC-PHD滤波器,称之为似然值波门SMC-PHD滤波器。首先,以所有预测粒子为依据,利用全部的多目标后验信息,最大限度地确认出所有目标生成的观测。其次,基于校正器中所有预测粒子的似然值,避免为粒子贴标签以及传统的距离计算,使得算法在各种应用中易于实现,只有有效观测才参与粒子权值的更新。最后,与基本SMC-PHD滤波器相比,其优秀的实时性和更好的滤波精度通过仿真得到证实。
Some factors influencing the intelligibility of the enhanced whisper in the joint time-frequency domain are evaluated. Specifically, both the spectrum density and different regions of the enhanced spectrum are analyze...
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Some factors influencing the intelligibility of the enhanced whisper in the joint time-frequency domain are evaluated. Specifically, both the spectrum density and different regions of the enhanced spectrum are analyzed. Experimental results show that for a spectrum of some density, the joint time-frequency gain-modification based speech enhancement algorithm achieves significant improvement in intelligibility. Additionally, the spectrum region where the estimated spectrum is smaller than the clean spectrum, is the most important region contributing to intelligibility improvement for the enhanced whisper. The spectrum region where the estimated spectrum is larger than twice the size of the clean spectrum is detrimental to speech intelligibility perception within the whisper context.
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