Joint design of channel coding and network coding of different channel models for wireless networks

Recently, network coding considers as a major ability to achieve effectiveness and Reliability for wireless networks. This article examine the channel capacity and Bit Error Rate (BER) of Network Coding and channel coding for different channel models using convolutional encoding with Viterbi decoding algorithm. We identify the results of a bit stream transmitted through different channel models such as Binary Symmetric Channel (BSC), Additive White Gaussian Noise (AWGN) and Slow Rayleigh Fading Channel (SRFC). It shown that, all channel models achieve the same capacity in higher signal to noise ratio (SNR). Furthermore, the BER performance has shown that the propose scheme outperform conventional scheme. We have done our simulation using Matlab to show the performance evaluation of both schemes for different scenario.