On The Uplink Throughput of Zero-Forcing in Cell-Free Massive MIMO with Coarse Quantization

Abstract

The recently proposed Cell-Free massive MIMO architecture is studied for the uplink. In contrast to most previous works, joint detection is performed using global CSI. Therefore, we study strategies for transferring CSI to the CPU taking into account the fronthaul capacity which limits CSI quantization. Two strategies for pilot-based CSI acquisition are considered: estimate-and-quantize and quantize-and-estimate. These are analysed using the Bussgang decomposition. For a given quantization constraint for the data and CSI the achievable rate per user with Zero-Forcing is determined. Numerical results show that quantize-and-estimate (the simpler strategy) is similar to or better than estimate-and-quantize, especially for 1-bit resolution.

Accepted for publication in IEEE Transactions on Vehicular Technology

References in corpus (1)

• Cooperative access networks: Optimum fronthaul quantization in distributed Massive MIMO and cloud RAN

Cited by in corpus (6)

• Local Partial Zero-Forcing Combining for Cell-Free Massive MIMO Systems
• Impact of Channel Aging on Zero-Forcing Precoding in Cell-Free Massive MIMO Systems
• Cell-free Massive MIMO with Sequential Fronthaul Architecture and Limited Memory Access Points
• A Survey on User-Centric Cell-Free Massive MIMO Systems
• Max-Min Rate of Cell-Free Massive MIMO Uplink with Optimal Uniform Quantization
• On the Energy Efficiency of Limited-Backhaul Cell-Free Massive MIMO