Cell-Free Massive MIMO in Virtualized CRAN: How to Minimize the Total Network Power?

TL;DR

This paper introduces a practical cell-free massive MIMO architecture on virtualized CRAN aimed at minimizing total network power consumption while maintaining spectral efficiency, demonstrating significant rate improvements with energy efficiency.

Contribution

It proposes a new deployable cell-free massive MIMO architecture on V-CRAN with an optimization framework for power minimization considering all network components.

Findings

Cell-free massive MIMO significantly increases maximum data rates.

The proposed system achieves comparable energy per bit to traditional small-cell systems.

Power efficiency improves even at low spectral efficiencies (above 1 bit/s/Hz).

Abstract

Previous works on cell-free massive MIMO mostly consider physical-layer and fronthaul transport aspects. How to deploy cell-free massive MIMO functionality in a practical wireless system is an open problem. This paper proposes a new cell-free architecture that can be implemented on top of a virtualized cloud radio access network (V-CRAN). We aim to minimize the end-to-end power consumption by jointly considering the radio, optical fronthaul, virtualized cloud processing resources, and spectral efficiency requirements of the user equipments. The considered optimization problem is cast in a mixed binary second-order cone programming form and, thus, the global optimum can be found using a branch-and-bound algorithm. The optimal power-efficient solution of our proposed cell-free system is compared with conventional small-cell implemented using V-CRAN, to determine the benefits of cell-free networking. The numerical results demonstrate that cell-free massive MIMO increases the maximum rate substantially, which can be provided with almost the same energy per bit. We show that it is more power-efficient to activate cell-free massive MIMO already at low spectral efficiencies (above 1 bit/s/Hz).