Published January 2, 2018 | Version v1

Cell-Free Massive MIMO with Limited Backhaul

Description

We consider a cell-free Massive multiple-input multiple-output (MIMO) system and investigate the system performance for the case when the quantized version of the estimated channel and the quantized received signal are available at the central processing unit (CPU), and the case when only the quantized version of the combined signal with maximum ratio combining (MRC) detector is available at the CPU. Next, we study the max-min optimization problem, where the minimum user uplink rate is maximized with backhaul capacity constraints. To deal with the max-min non-convex problem, we propose to decompose the original problem into two sub-problems. Based on these sub-problems, we develop an iterative scheme which solves the original max-min user uplink rate. Moreover, we present a user assignment algorithm to further improve the performance of cell-free Massive MIMO with limited backhaul links. aaKeywords: Cell-free Massive MIMO, geometric programming, generalized eigenvalue problem, limited backhaul.

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Additional details

Funding

European Commission
ATOM - Advancing the state of the art of MIMO: the key to the successful evolution of wireless networks 690750