A simple system that approaches the capacity of the additive white Gaussian noise channel (AWGN) is proposed. It is well known that this capacity is achieved by a Gaussian input, which is hard to obtain in practice. However, if the capacity is <;1/2, then the use of a binary input incurs little capacity loss. A parallel between the AWGN and the multiple access channel (MAC) is exploited, which allows for the transformation, without loss of capacity, of the AWGN channel into several parallel channels with capacity <;1/2. In this proposal, each channel uses a binary input and a capacity-achieving code, resulting in a system with simple encoding that operates close to capacity. A decoding scheme based on successive interference cancellation is also proposed. As a result, the receiver consists of a series of simple binary receivers. It is shown that the proposed system works at a small gap to the capacity of the AWGN, and that this gap may be attributed to the gap to capacity of the underlying binary code. Similar method has been proposed but the results have shown that this method is better than the iterative method (bit interleaved coded modulation) Ver menos