In 5G communications, the massive Multi-Input Multi-Output (MIMO) systems are one of the promising key technology for future applications. In the massive MIMO systems, modified compressive sensing and differential operation-based channel feedback scheme is widely used to increase the channel matrix dimension. In this paper, a modified compressive sensing and differential operation-based channel feedback scheme has been proposed to reduce the channel feedback overhead of the massive MIMO systems. In order to achieve stronger sparsity, the temporal correlation-based time-varying channels is widely used and exploited in order to generate the Channel Impulse Response (CIR) between the neighboring time slots. The simulation results show that this modified compressive sensing and differential operation-based channel feedback scheme is reducing the overhead arise due to feedback scheme and achieves the stronger sparsity than the existing systems.
