Sum rate analysis of massive Multiple Input Multiple Output system for linear precoding using normalization methods

The hopeful technique Massive MIMO is provided to increase the data rates of mobile communication, by arranging antennas to hundreds of the base stations which is the most promising solution for the fifth generation of cellular communication network. In order to cope with the huge demands of communications in the network it has been found that it is useful to have multiple receivers served in the same bandwidth during the same time slot. The paper considered vector and matrix normalization for studying the precoding designs of zero-forcing (ZF), matched filter (MF) and maximum ratio transmission (MRT). The paper also derive the sum rate formulate for every precoding. Depending on the analytical results, we found that in low power MF gives the best performance with vector normalization and ZF gives the best performance with matrix normalization. Also, ZF provides the best performance with vector/matrix normalization in high power. The results represented graphically to confirm the analytical results.