A wavelet compression based channel feedback protocol for spatially correlated massive MIMO systems

Equipped with large scale antenna arrays, massive multiple input multiple output systems are qualified with several benefits including enhanced throughput, power efficiency, and anti-interference ability, etc. The acquisition of such advantages requires adequate channel state information at transmitter. In frequency division duplex multiple input multiple output systems, channel state information is extracted through channel feedback mechanism which is not easy to implement due to the fact that the feedback overhead is critical with so many antennas. However, large scale antenna arrays may introduce correlation elements into channel state information due to the limit of the base station size. Therefore, we propose a wavelet compression based channel feedback protocol aiming to reduce the feedback load by exploiting the correlation features among large scale antenna arrays. We take a point-to-point massive multiple input multiple output system into consideration, and both Jakes correlation model and exponential correlation model are applied to make the numerical simulations and verify the performance of the proposed wavelet compression based feedback scheme.