Downlink Traffic Power Characterization for Multi- Rate Wireless CDMA Data Networks

The characterization of downlink traffic power is an important issue for the design of efficient call admission control (CAC) and radio resource management (RRM) procedures. In this paper an analytic model is presented to solve the power-rate assignment problem and to approximate the probability distribution function for the cell site downlink traffic power for a multi-rate CDMA based network. The model accounts for both the radio frequency propagation model and the large signal variations represented by the signal shadowing process. As one application, the model is utilized in calculating the probability of cell site power outage as a function of the system rates and the number of supported bursts. The study compares between model based results and results obtained using conventional Monte- Carlo simulations. Comparisons indicate the model provides an adequate approximation for outage probability figure

Downlink Traffic Power Characterization for Multi- Rate Wireless CDMA Data Networks

The characterization of downlink traffic power is an important issue for the design of efficient call admission control (CAC) and radio resource management (RRM) procedures. In this paper an analytic model is presented to solve the power-rate assignment problem and to approximate the probability distribution function for the cell site downlink traffic power for a multi-rate CDMA based network. The model accounts for both the radio frequency propagation model and the large signal variations represented by the signal shadowing process. As one application, the model is utilized in calculating the probability of cell site power outage as a function of the system rates and the number of supported bursts. The study compares between model based results and results obtained using conventional Monte- Carlo simulations. Comparisons indicate the model provides an adequate approximation for outage probability figure

Downlink Traffic Power Characterization for Multi- Rate Wireless CDMA Data Networks

The characterization of downlink traffic power is an important issue for the design of efficient call admission control (CAC) and radio resource management (RRM) procedures. In this paper an analytic model is presented to solve the power-rate assignment problem and to approximate the probability distribution function for the cell site downlink traffic power for a multi-rate CDMA based network. The model accounts for both the radio frequency propagation model and the large signal variations represented by the signal shadowing process. As one application, the model is utilized in calculating the probability of cell site power outage as a function of the system rates and the number of supported bursts. The study compares between model based results and results obtained using conventional Monte- Carlo simulations. Comparisons indicate the model provides an adequate approximation for outage probability figure

Optomechanical heat transfer between molecules in a nanoplasmonic cavity

We explore whether localized surface plasmon polariton modes can transfer heat between molecules placed in the hot spot of a nanoplasmonic cavity through optomechanical interaction with the molecular vibrations. We demonstrate that external driving of the plasmon resonance indeed induces an effective molecule-molecule interaction corresponding to a heat transfer mechanism that can even be more effective in cooling the hotter molecule than its heating due to the vibrational pumping by the plasmon. This mechanism allows us to actively control the rate of heat flow between molecules through the intensity and frequency of the driving laserThis work has been funded by the European Research Council (ERC-2016-STG-714870) and the Spanish MINECO under Contract No. MAT2014-53432-C5-5-R and the “María de Maeztu” programme for Units of Excellence in R&D (MDM-2014-0377), as well as through a Ramón y Cajal grant (JF) and support from the Iranian Ministry of Science, Research and Technology (SMA

Approximation Techniques For Analytical Characterization Of Downlink Traffic Power For Multi-Service CDMA Networks

This paper presents a novel analytical framework for characterizing the downlink power allocations for a multi-rate Code Division Multiple Access (CDMA) network. The characterization takes into account the RF propagation model, the shadowing process and considers both intracell and intercell interference. To arrive at the model, the paper utilizes approximation techniques recently developed in the recent literature to evaluate the sum of lognormal random variables. The overall traffic power is modeled as a random variable that is function of the network parameters and the assigned downlink bit rates. The paper demonstrates the calculation of the forward link power outage probability as one example application for the developed characterization. It also compares between two approximation techniques suggested in this paper: matched first and second order statistics, and the min-max technique. The analytical results are compared to those obtained via Monte-Carlo simulations to assess the accuracy of the adapted approximations. The results indicate the min-max technique produces more accurate results when compared to matched first and second moments approximation scheme

ADSORPTION OF FOOD COLORING ALLURA RED DYE (E129) FROM AQUEOUS SOLUTIONS USING ACTIVATED CARBON

The adsorption behavior of Allura red (E129) from aqueous solutions onto activated carbon was successfully investigated. All factors affecting the adsorption process were carefully studied and the conditions were optimized. Adsorption of E129 onto activated carbon was found to increase by decreasing the mass of activated carbon, pH and ionic strength of the solution and by increasing temperature. The adsorption capacity of the activated carbon for Allura red was relatively high. Under the optimum conditions, the maximum adsorption capacity for E129 dye was 72.85 mg/g. Three adsorption models; Langmuir, Freundlich and Temkin model were investigated regarding the adsorption of E129. The models’ parameters KL, qm, R2, (n) were determined and found to be 0.0222, 72.85 mg/g, 0.9057-0.9984, and 0.992, respectively. Also, pseudo first and second-order kinetic models were tested to determine the best-fit model to the adsorption of E129 dye onto activated carbon. The results showed that the adsorption of E129 onto activated carbon obeyed both the Freundlich isotherm and pseudo second-order kinetic models. Moreover, thermodynamic studies indicated that the adsorption of E129 dye onto the activated carbon was spontaneous.Â

Approximation Techniques For Analytical Characterization Of Downlink Traffic Power For Multi-Service CDMA Networks

This paper presents a novel analytical framework for characterizing the downlink power allocations for a multi-rate Code Division Multiple Access (CDMA) network. The characterization takes into account the RF propagation model, the shadowing process and considers both intracell and intercell interference. To arrive at the model, the paper utilizes approximation techniques recently developed in the recent literature to evaluate the sum of lognormal random variables. The overall traffic power is modeled as a random variable that is function of the network parameters and the assigned downlink bit rates. The paper demonstrates the calculation of the forward link power outage probability as one example application for the developed characterization. It also compares between two approximation techniques suggested in this paper: matched first and second order statistics, and the min-max technique. The analytical results are compared to those obtained via Monte-Carlo simulations to assess the accuracy of the adapted approximations. The results indicate the min-max technique produces more accurate results when compared to matched first and second moments approximation scheme