Journal
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022)
Volume -, Issue -, Pages 159-164Publisher
IEEE
DOI: 10.1109/ICC45855.2022.9838846
Keywords
Cell-free massive MIMO; virtualized CRAN; network virtualization; fronthaul transport
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Funding
- CELTIC -NEXT project AI4Green
- Vinnova, Swedish Innovation Agency
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This paper proposes a new cell-free architecture based on V-CRAN for massive MIMO. The goal is to minimize power consumption by considering various factors, and the results show that cell-free massive MIMO can substantially improve the maximum rate with excellent energy efficiency.
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).
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