Convolutional Coding for Channel Encoding

In this paper, we implement convolutional coding for channel encoding with Viterbi algorithm decoding. The implementation typically involves defining constraint length and generator polynomials for convolutional encoding, while the Viterbi decoder uses trellis-based path metric calculations to achieve maximum likelihood sequence estimation. Additionally, we employ both QPSK and 16QAM modulation schemes, where QPSK modulates 2 bits per symbol using phase shifts, and 16QAM encodes 4 bits per symbol through combined amplitude and phase modulation. These transmission schemes are evaluated over both AWGN and Rayleigh channel models, where AWGN adds white Gaussian noise while Rayleigh channel simulates multipath fading effects. These techniques collectively enhance signal transmission quality and ensure data reliability. Furthermore, we analyze the advantages and limitations of these techniques, along with their applications in various scenarios. Through this paper, readers can understand the importance of these technologies for wireless communication and data transmission, gaining better insight into their practical implementations and limitations.