Linear Precoders for Parallell Gaussian Channels with Low Decoding Complexity
Consider the transmission of complex-valued symbols over N parallell channels in additive white Gaussian noise. It is well known that linear precoding of the complex-valued data improves system performance (e. g. symbol error rate, information rate, MMSE, etc.) at a cost of increased decoding complexity at the receiver. This work constructs precoders that are constrained to have a decoding complex
