Channel complexity reduction in massive MISO using principal component analysis

摘要

Massive multiple-input-multiple-output (MIMO) has the potential to offer a high throughput in today's fast wireless communication systems, however the large number of antennas at the transmitter brings the challenge of high channel complexity and hardware energy consumption. In this paper channel the complexity in massive MISO systems is reduced with a negligible loss of sum-capacity by using Principal Component Analysis (PCA). Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) precoding schemes are used and users are equipped with a single antenna. The results are simulated using MATLAB using the Rayleigh fading channel model. Numerical results verify that, the channel complexity in terms of floating-point operations (FLOPs) has been reduced by more than 80% by using the proposed technique.