System-Level Performance of Limited Feedback Schemes for Massive MIMO

Abstract

To implement high-order multiuser multiple input and multiple output (MU-MIMO) for massive MIMO systems, there must be a feedback scheme that can warrant its performance with a limited signaling overhead. The interference-to-noise ratio can be a basis for a novel form of Codebook (CB)-based MU-MIMO feedback scheme. The objective of this paper is to verify such a scheme's performance under a practical system configuration with a 3D channel model in various radio environments. We evaluate the performance of various CB-based feedback schemes with different types of overhead reduction approaches, providing an experimental ground with which to optimize a CB-based MU-MIMO feedback scheme while identifying the design constraints for a massive MIMO system. Keywords: Massive MIMO, FD-MIMO, 3D-channel model, codebook-based feedback, system level simulation, interference-to-noise ratio, multiuser interference indicator, MUI, INR.

5G K-SimSys for Open/Modular/Flexible System-Level Simulation: Overview and its Application to Evaluation of 5G Massive MIMO

“…Then, the total number of antenna elements is given by M N P M g N g . Even though a uniform linear antenna is more appropriate for MU-MIMO than P = 2, subject to the same number of antenna elements [34], X-pol allows for enhanced capacity with more antenna elements within the limited physical space, as typically practiced in 5G systems. In the current system under consideration, we set the crosspolarization angles to (0 • , 90 • ) and ±45 • in the UE and gNB, respectively.…”