A.A. Akintola, G.A. Aderounmu, and M.O. Efereyan
Error, puncturing, codes, erasure, resilience, convolutional, BER, throughput
Real-time Internet video streaming over wireless noisy channels is attracting a lot of attention for various applications in Internet Protocol networks. In this paper, the authors present the performance of error resilience techniques of transmitted video using punctured convolutional coding with erasures. The system model uses Bernoulli Random Binary Generator block set to generate random binary numbers using Bernoulli distribution. In the system simulation, various rates of coding (i.e., rates 2/3 and 3/4) were applied on various bits patterns (i.e., 3, 4, 8, and 16 bits) and then passed through a noisy wireless link of different range of noise levels (i.e., additive white gaussian noise). Using throughput and bit error rate as performance metrics against signal-to-noise ratio, experimental results show that, while varying the noise levels, high coding rates showed better and improved performance but it is more efficient when the numbers of punctured bits are kept below a certain maximum threshold.
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