Capacity of precoding for MU-MIMO systems

Spatial multiplexing have drawn a lot of attention for many years due to their great potential to achieve high throughput of MIMO systems implemented in wireless communication systems. It is well known that in a single user case the capacity scales linearly with the minimum number of transmit and receive antennas. Many linear precoding techniques require each antenna to transmit its own data. In this paper, we analyze the latest technology of MIMO with theoretic background. We compare the increasing features of capacity by using two precoding methods based on spatial multiplexed system. We apply two precodings to multiple antennas, considering MU-MIMO downlink. Finally, the simulation result demonstrates how the number of antennas has an effect on capacity.

[1]  Chung G. Kang,et al.  MIMO-OFDM Wireless Communications with MATLAB , 2010 .

[2]  Geoffrey Ye Li,et al.  An Overview of Massive MIMO: Benefits and Challenges , 2014, IEEE Journal of Selected Topics in Signal Processing.

[3]  Thomas L. Marzetta,et al.  Argos: practical many-antenna base stations , 2012, Mobicom '12.

[4]  R. Knopp,et al.  Capacity of linear multi-user MIMO precoding schemes with measured channel data , 2008, 2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications.

[5]  Erik G. Larsson,et al.  Massive MIMO for next generation wireless systems , 2013, IEEE Communications Magazine.

[6]  Swetamadhab Mahanta,et al.  Analysis of MIMO System Through ZF & MMSE Detection Scheme , 2013 .