We propose compressive transmission, which uses CS as the channel code and directly transmits multi-level CS random projections through amplitude modulation, inspired by the CS theory and its strong association with low-density parity-check code. Compressive collaboration mechanisms inside a relay channel are the topic of this essay. In this study, we examine and quantify the possible rates of four decode-and-forward (DF) techniques in a three-terminal half-duplex Gaussian relay channel: receiver diversity, code diversity, consecutive decoding, and concatenated decoding. Numerical computation and simulated experiments are used to evaluate the four different plans. We also analyse a different source channel coding strategy for transmitting sparse sources and compare it to compressive collaboration. Compressive collaboration has significant promise in terms of transmission efficiency and channel adaptability.