C-RAN uplink-oriented compressed sensing method

The invention discloses a compressed sensing method for an uplink of a cloud radio access network (C-RAN), which comprises the following steps of: firstly, receiving a measured value (compressed signal) by each remote radio head (RRH) in a C-RAN scene, and performing CS recovery on the measured value to obtain rough estimation of user signal data; the rough estimation problem of the signal can be converted into an optimization problem in a generalized LASSO form; the method comprises the following steps of: solving an obtained optimization problem through an iteration method of an ADMM algorithm, expressing the ADMM algorithm as a depth unfolding network with layer iteration on the basis of the above steps, and taking the depth unfolding network as a decoder; finally, affine mapping in ADMM algorithm iteration is applied to a final layer, and final output is obtained. The method can be applied to C-RAN and other compressed sensing scenes, the compressed sensing method for the front-end load problem of the C-R