Analog Versus Hybrid Precoding for Multiuser Massive MIMO with Quantized CSI Feedback

Abstract

In this letter, we study the performance of a downlink multiuser massive multiple-input multiple-output (MIMO) system with sub-connected structure over limited feedback channels. Tight rate approximations are theoretically analyzed for the system with pure analog precoding and hybrid precoding. The effect of quantized analog and digital precoding is characterized in the derived expressions. Furthermore, it is revealed that the pure analog precoding outperforms the hybrid precoding using maximal-ratio transmission (MRT) or zero forcing (ZF) under certain conditions, and we theoretically characterize the conditions in closed form with respect to signal-to-noise ratio (SNR), the number of users and the number of feedback bits. Numerical results verify the derived conclusions on both Rayleigh channels and mmWave channels.

References in corpus (6)

• Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems
• Low-Complexity Hybrid Precoding in Massive Multiuser MIMO Systems
• Power Scaling of Uplink Massive MIMO Systems with Arbitrary-Rank Channel Means
• An Overview of Enhanced Massive MIMO with Array Signal Processing Techniques
• Hybrid Precoding Architecture for Massive Multiuser MIMO with Dissipation: Sub-Connected or Fully-Connected Structures?
• Hybrid RF and Digital Beamformer for Cellular Networks: Algorithms, Microwave Architectures and Measurements