Simulation of communication systems

Tranter, William H.; Kosbar, Kurt

doi:10.1109/35.295942

Cited by 46 publications

(32 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Because ξ is a random variable whose distribution is not known explicitly, the evaluation of E[g(ξ)] is performed by computing the conditional error probability of each of all possible sequences of CCI, and then averaging over all those sequences [22,24]. For (18), g(·) is given by erfc (·).…”

Section: Error Probability Estimationmentioning

confidence: 99%

Performance analysis for optimum transmission and comparison with maximal ratio transmission for MIMO systems with cochannel interference

Lin

2011

J Wireless Com Network

View full text Add to dashboard Cite

This article presents the performance analysis of multiple-input/multiple-output (MIMO) systems with quadrature amplitude modulation (QAM) transmission in the presence of cochannel interference (CCI) in nonfading and flat Rayleigh fading environments. The use of optimum transmission (OT) and maximum ratio transmission (MRT) is considered and compared. In addition to determining precise results for the performance of QAM in the presence of CCI, it is our another aim in this article to examine the validity of the Gaussian interference model in the MRTbased systems. Nyquist pulse shaping and the effects of cross-channel intersymbol interference produced by CCI due to random symbol of the interfering signals are considered in the precise interference model. The error probability for each fading channel is estimated fast and accurately using Gauss quadrature rules which can approximate the probability density function (pdf) of the output residual interference. The results of this article indicate that Gaussian interference model may overestimate the effects of interference, particularly, for high-order MRT-based MIMO systems over fading channels. In addition, OT cannot always outperform MRT due to the significant noise enhancement when OT intends to cancel CCI, depending on the combination of the antennas at the transmitter and the receiver, number of interference and the statistical characteristics of the channel.

show abstract

Section: Error Probability Estimationmentioning

confidence: 99%

Performance analysis for optimum transmission and comparison with maximal ratio transmission for MIMO systems with cochannel interference

Lin

2011

J Wireless Com Network

View full text Add to dashboard Cite

show abstract

“…En térmi-nos generales, un proceso aleatorio se describe completamente por su media y su función de autocorrelación (ACF). Para una antena receptora omnidireccional en un ambiente de dispersión isotrópica bidimensional, en [16] se demostró que la ACF de µ i (t) se puede representar por medio de (8).…”

Section: Canal Con Desvanecimiento Plano Y Lentounclassified

Metodología de análisis por medio de simulación de la modulación M-QAM sobre un canal afectado por desvanecimiento y efecto Doppler

Zambrano¹,

Rueda²

2011

Iteckne

View full text Add to dashboard Cite

Section: Introductionunclassified

“…Ferramentas de simulação que possibilitem aos pesquisadores, projetistas ou operadores uma avaliação correta do desempenho dos sistemas celulares, sobre uma grande gama de condições, estão se tornando cada vez mais importantes (WOERNER et al, 1994;TRANTER;KOSBAR, 1994). Em sistemas de grande porte é completamente inviável a análise analítica do desempenho, levando em consideração os aspectos dinâmicos das interações envolvidas entre as ERB's e os usuários, tais como o handoff, velocidade, tempo de duração da chamada, distribuição dos usuários na área de serviço, entre outros.…”

Section: Introductionunclassified

“…

AbstractThis article describes the model and implementation of a receiver simulator in the reverse traffic channel of CDMA system. All the steps for decodification and demodulation, as well as some results are shown.

…”

unclassified

See 1 more Smart Citation

Simulador do receptor do sistema Is-95 empregando a plataforma Ptolemy

2003

View full text Add to dashboard Cite

IntroduçãoFerramentas de simulação que possibilitem aos pesquisadores, projetistas ou operadores uma avaliação correta do desempenho dos sistemas celulares, sobre uma grande gama de condições, estão se tornando cada vez mais importantes (WOERNER et al., 1994;TRANTER;KOSBAR, 1994 AbstractThis article describes the model and implementation of a receiver simulator in the reverse traffic channel of CDMA system. All the steps for decodification and demodulation, as well as some results are shown. Key Words: IS-95, simulation, CDMA, cellular essencial, tanto na avaliação da performance como na otimização dos sistemas celulares.Este artigo descreve o modelo e implementação do sistema celular baseado no sistema CDMA/IS-95 (TELECOMMUNICATIONS INDUSTRY ASSOCIATION, 1993). O IS-95 usa espalhamento espectral de seqüência direta ocupando uma banda de 1.25 MHz, empregando código longo e Walsh.O restante do artigo é organizado da seguinte forma: na seção 2 é apresentado o sistema a ser modelado e simulado; na seção 3 é descrita a ferramenta de simulação que foi utilizada para construir o simulador; na seção 4 são apresentados alguns resultados do simulador; e finalmente, na seção 5, a conclusão do artigo com algumas propostas para trabalhos futuros.

show abstract

Simulation of communication systems

Cited by 46 publications

References 6 publications

Performance analysis for optimum transmission and comparison with maximal ratio transmission for MIMO systems with cochannel interference

Performance analysis for optimum transmission and comparison with maximal ratio transmission for MIMO systems with cochannel interference

Metodología de análisis por medio de simulación de la modulación M-QAM sobre un canal afectado por desvanecimiento y efecto Doppler

Simulador do receptor do sistema Is-95 empregando a plataforma Ptolemy

Contact Info

Product

Resources

About