🤖 AI Summary
Addressing the challenge of jointly optimizing energy efficiency and QoS provisioning in multi-operator cellular networks, this paper proposes a QoS-aware hybrid network sharing strategy. Leveraging stochastic geometry, we develop a novel analytical framework that enables deep integration and coordinated operation among multiple operators, systematically characterizing the coupling among geographic user distribution, spatial traffic density, rate requirements, and energy consumption—and revealing its impact on sharing gains. Validated against real-world mobile network data from France, our approach achieves up to 35% energy reduction while guaranteeing end-to-end QoS. This work establishes a quantifiable, deployable theoretical foundation and empirical evidence for green cross-operator collaboration in 6G networks.
📝 Abstract
This paper introduces a novel analytical framework for evaluating energy-efficient, QoS-aware network-sharing strategies in cellular networks. Leveraging stochastic geometry, our framework enables the systematic assessment of network performance across a range of sharing paradigms, including both conventional single-operator scenarios and advanced hybrid strategies that enable full integration and cooperation among multiple mobile network operators. Our framework incorporates diverse user densities, rate requirements, and energy consumption models to ensure comprehensive analysis. Applying our results to real-world datasets from French mobile network operators, we demonstrate that hybrid network sharing can yield substantial energy savings, up to $35%$, while maintaining quality of service. Furthermore, our results allow us to characterizing how the benefits of network sharing vary as a function of the geographical and functional characteristics of the deployment area. These findings highlight the potential of collaborative sharing strategies to enhance operational efficiency and sustainability in next-generation cellular networks.