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Energy-Aware Resource Allocation for Multi-Operator Cell-Free Massive MIMO in V-CRAN Architectures

Published: July 29, 2025 | arXiv ID: 2507.21644v2

By: Derya Nurcan-Atceken , Özlem Tuğfe Demir , Aysegul Altin-Kayhan and more

Potential Business Impact:

Makes cell phone signals stronger and use less power.

Business Areas:
Energy Management Energy

Cell-free massive multiple-input multiple-output (MIMO) implemented in virtualized cloud radio access networks (V-CRAN) has emerged as a promising architecture to enhance spectral efficiency (SE), network flexibility, and energy efficiency (EE) in next-generation wireless systems. In this work, we develop a holistic optimization framework for the efficient deployment of cell-free massive MIMO in V-CRAN with multiple mobile network operators (MNOs). Specifically, we formulate a set of integer programming models to jointly optimize access point (AP) selection, user equipment (UE) association, cloud resource allocation, and MNO assignment while minimizing the maximum total power consumption (TPC) across MNOs. We consider two different scenarios based on whether UEs can be assigned to arbitrary MNOs or not. The numerical results demonstrate the impact of different deployment assumptions on power consumption, highlighting that flexible UE-MNO assignment significantly reduces TPC. The findings provide key insights into optimizing resource management in cell-free massive MIMO V-CRAN, paving the way for energy-efficient wireless network implementations.

Country of Origin
🇹🇷 🇸🇪 Sweden, Turkey

Page Count
6 pages

Category
Electrical Engineering and Systems Science:
Signal Processing