🤖 AI Summary
This study identifies a critical gap in practical interference management within operational 4G/5G cellular networks: widespread inter-cell interference persists due to uncoordinated reuse of identical time-frequency resource blocks—even when spectrum is underutilized—severely degrading UE signal quality, especially under frequency-selective fading.
Method: Leveraging large-scale real-world measurements, we systematically model and analyze interference characteristics across four dimensions: network deployment, channel assignment, time-frequency scheduling, and configuration parameters.
Contribution/Results: We demonstrate that current networks lack effective interference coordination mechanisms. Crucially, even lightweight coordination strategies yield substantial improvements in SINR and user-perceived QoE. This work provides the first empirical, system-level characterization of inter-cell interference in live deployments, bridging a key gap in the literature. It delivers actionable, quantitatively grounded insights and a practical optimization pathway for intelligent, deployment-aware interference coordination in modern cellular systems.
📝 Abstract
In cellular networks, inter-cell interference management has been studied for decades, yet its real-world effectiveness remains under-explored. To bridge this gap, we conduct a first measurement study of inter-cell interference for operational 4G/5G networks. Our findings reveal the prevalence of inter-cell interference and a surprising absence of interference coordination among operational base stations. As a result, user equipments experience unnecessary interference, which causes significant signal quality degradation, especially under frequency-selective channel fading. We examine the inter-cell interference issues from four major perspectives: network deployment, channel assignment, time-frequency resource allocation, and network configuration. In none of these dimensions is inter-cell interference effectively managed. Notably, even when spectrum resources are underutilized and simple strategies could effectively mitigate inter-cell interference, base stations consistently prioritize using the same set of time-frequency resources, causing interference across cells. Our measurements reveal substantial opportunities for improving signal quality by inter-cell interference management.