Performance Analysis of MU-MIMO in Downlink Cellular Networks

In this article, we investigate achievable sum-rates of a multiuser multiple-input multiple-output (MU-MIMO) network with maximal ratio transmission (MRT) and zero-forcing (ZF) precoders for downlink cellular scenarios. We use Gamma distribution to derive tight lower and upper bounds of the achievable sum-rates. From the analytical results, the sum-rates of the MRT and ZF precoders are increased with the number of the transmit antennas and transmit power, and there exists an optimal number of served users for the highest achievable sum-rates when using the ZF precoder.

[1]  Stefania Sesia,et al.  LTE - The UMTS Long Term Evolution , 2009 .

[2]  Geoffrey Ye Li,et al.  Multi-Cell Coordinated Scheduling and MIMO in LTE , 2014, IEEE Communications Surveys & Tutorials.

[3]  Sean A. Ramprashad,et al.  Achieving "Massive MIMO" Spectral Efficiency with a Not-so-Large Number of Antennas , 2011, IEEE Transactions on Wireless Communications.

[4]  Max H. M. Costa,et al.  Writing on dirty paper , 1983, IEEE Trans. Inf. Theory.

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

[6]  Robert W. Heath,et al.  Multiuser MIMO in Distributed Antenna Systems With Out-of-Cell Interference , 2011, IEEE Transactions on Signal Processing.

[7]  Giuseppe Caire,et al.  Performance Analysis of Massive MIMO for Cell-Boundary Users , 2013, IEEE Transactions on Wireless Communications.

[8]  V. Maheshwari,et al.  Inverse Gamma Distribution based Delay and Slew Modeling for On-Chip VLSI RC Interconnect for Arbitrary Ramp Input , 2012 .

[9]  S. Nadarajah A Review of Results on Sums of Random Variables , 2008 .