Adaptive compressive sensing for multiuser OFDM system

Compressive sensing (CS) provides a framework for integrated sensing and compression of discrete-time signals that are sparse or compressible in a known basis or frame. In this paper, we apply adaptive compressive sensing to multiuser OFDM system in order to save the storage at the server due to high data transmission rate and a large number of supported users. A new standard compressive sensing equation is proposed which ensures it always works via exploiting the autoregressive property of the transmitted data. The subcarrier allocation information is estimated at the receiver which significantly reduces the system complexity and makes the proposed system more practical. Simulation results show the Yule-Walker equation with higher-order and more active users could improve the performance of recovery process.