MobiWorld: World Models for Mobile Wireless Network
Haoye Chai, Yuan Yuan, Yong Li

TL;DR
MobiWorld is a generative model for mobile network simulation that integrates heterogeneous data sources and advanced diffusion techniques to enable accurate, controllable environment modeling for network optimization tasks.
Contribution
It introduces MobiWorld, a universal, diffusion-based generative model capable of high-fidelity, controllable simulation of mobile networks using diverse data types and conditional factors.
Findings
Outperforms traditional models in energy-saving simulations
Demonstrates strong controllable generation capabilities
Supports diverse network planning and optimization tasks
Abstract
Accurate modeling and simulation of mobile networks are essential for enabling intelligent and cost-effective network optimization. In this paper, we propose MobiWorld, a generative world model designed to support high-fidelity and flexible environment simulation for mobile network planning and optimization. Unlike traditional predictive models constrained by limited generalization capabilities, MobiWorld exhibits strong universality by integrating heterogeneous data sources, including sensors, mobile devices, and base stations, as well as multimodal data types such as sequences and images. It is capable of generating both network element-level observations (e.g., traffic load, user distribution) and system-level performance indicators (e.g., throughput, energy consumption) to support a wide range of planning and optimization tasks. Built upon advanced diffusion models, MobiWorld offers…
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