Abstract The Gaussian distribution is a continuous function approximating the exact binomial distribution of events. Using a standard Gaussian Approximation, the multi-user system performance is measured in this paper. We simulated pulse position modulation and amplitude modulation with different interfering users. We have assessed the functioning using error probability over the signal-to-noise ratio. We put the condition of the AWGN channel... The Gaussian distribution is a continuous function approximating the exact binomial distribution of events. Using a standard Gaussian Approximation, the multi-user system performance is measured in this paper. We simulated pulse position modulation and amplitude modulation with different interfering users. We have assessed the functioning using error probability over the signal-to-noise ratio. We put the condition of the AWGN channel for signal transmission. Read More Read Less

Abstract For OFDM information communication, the Dopler fading models are deployed, and their performance is evaluated in this paper. We have tested the simulations over the AWGN channel with BPSK modulation. We used the probability error to assess the effectiveness of the model in this paper.... For OFDM information communication, the Dopler fading models are deployed, and their performance is evaluated in this paper. We have tested the simulations over the AWGN channel with BPSK modulation. We used the probability error to assess the effectiveness of the model in this paper. Read More Read Less

Abstract To define the peaked arrival processes, we have outlined the Polya and Pareto distribution processes. We are able to assess the actual loss of data in telecommunication systems. This is a fully accessible loss system with Polya input flow that is the negative binomial distributed number of arrivals in a fixed time interval, general allocated service time and “n” servers.... To define the peaked arrival processes, we have outlined the Polya and Pareto distribution processes. We are able to assess the actual loss of data in telecommunication systems. This is a fully accessible loss system with Polya input flow that is the negative binomial distributed number of arrivals in a fixed time interval, general allocated service time and “n” servers. We have assessed the model with Pareto distributed inter-arrival time using simulation data. We have developed an algorithm for the calculation of the state probabilities and outlined the blocking. We found that the input stream changes influence the loss system properties. Read More Read Less