Performance Comparison of Decode-and-Forward, Detect-and-Forward, and Amplify-and-Forward BPSK in Flat Fading with AWGN

In this technical analysis, we evaluate the performance characteristics of three prominent cooperative communication schemes: Decode-and-Forward (DF), Detect-and-Forward (DetF), and Amplify-and-Forward (AF) using Binary Phase Shift Keying (BPSK) modulation in flat fading environments with Additive White Gaussian Noise (AWGN). Our comparative study examines critical performance metrics including bit error rate (BER) performance, computational complexity, and power consumption requirements. For simulation implementation, the DF scheme typically requires error correction coding and decoding algorithms (such as Viterbi or Turbo codes), while AF involves simple channel gain amplification without decoding. The DetF approach occupies an intermediate position, employing symbol-level detection without full decoding. We analyze the impact of flat fading characteristics on each scheme's performance, exploring mitigation techniques such as channel estimation algorithms and equalization methods. Practical implementation considerations include MATLAB-based simulation frameworks using functions like `rayleighchan` for fading modeling and `awgn` for noise addition. The analysis also addresses the trade-offs between processing delay, hardware requirements, and signal quality enhancement for each relaying strategy in typical wireless communication scenarios.