11 citations · 18 across the 12 of their papers we have counts for
13 papers
Guaranteeing and Explaining Stability across Heterogeneous Load Balancing using Calculus Network Dynamics
Mengbang Zou, Yun Tang, Adolfo Perrusquía +1
Load balancing between base stations (BSs) allows BS capacity to be efficiently utilised and avoid outages. Currently, data-driven mechanisms strive to balance inter-BS load and re…
KP-A: A Unified Network Knowledge Plane for Catalyzing Agentic Network Intelligence
Yun Tang, Mengbang Zou, Zeinab Nezami +2
The emergence of large language models (LLMs) and agentic systems is enabling autonomous 6G networks with advanced intelligence, including self-configuration, self-optimization, an…
Building AI Service Repositories for On-Demand Service Orchestration in 6G AI-RAN
Yun Tang, Mengbang Zou, Udhaya Chandhar Srinivasan +4
Efficient orchestration of AI services in 6G AI-RAN requires well-structured, ready-to-deploy AI service repositories combined with orchestration methods adaptive to diverse runtim…
Data-driven Method to Ensure Cascade Stability of Traffic Load Balancing in O-RAN Based Networks
Mengbang Zou, Yun Tang, Weisi Guo
Load balancing in open radio access networks (O-RAN) is critical for ensuring efficient resource utilization, and the user's experience by evenly distributing network traffic load.…
Integrated Sensing, Communication, and Over-The-Air Control of UAV Swarm Dynamics
Zhuangkun Wei, Wenxiu Hu, Yathreb Bouazizi +5
Coordinated controlling a large UAV swarm requires significant spectrum resources due to the need for bandwidth allocation per UAV, posing a challenge in resource-limited environme…
Modelling Networked Dynamical System by Temporal Graph Neural ODE with Irregularly Partial Observed Time-series Data
Mengbang Zou, Weisi Guo
Modeling the evolution of system with time-series data is a challenging and critical task in a wide range of fields, especially when the time-series data is regularly sampled and p…
Cascade Network Stability of Synchronized Traffic Load Balancing with Heterogeneous Energy Efficiency Policies
Mengbang Zou, Weisi Guo
Cascade stability of load balancing is critical for ensuring high efficiency service delivery and preventing undesirable handovers. In energy efficient networks that employ diverse…
Minimize Control Inputs for Strong Structural Controllability Using Reinforcement Learning with Graph Neural Network
Mengbang Zou, Weisi Guo, Bailu Jin
Strong structural controllability (SSC) guarantees networked system with linear-invariant dynamics controllable for all numerical realizations of parameters. Current research has e…
How to Find Opinion Leader on the Online Social Network?
Bailu Jin, Mengbang Zou, Zhuangkun Wei +1
Online social networks (OSNs) provide a platform for individuals to share information, exchange ideas, and build social connections beyond in-person interactions. For a specific to…
Local assortativity affects the synchronizability of scale-free network
Mengbang Zou, Weisi Guo
Synchronization is critical for system level behaviour in physical, chemical, biological and social systems. Empirical evidence has shown that the network topology strongly impacts…
Regions of Attraction Estimation using Level SetMethod for Complex Network System
Mengbang Zou, Yu Huang, Weisi Guo
Many complex engineering systems network together functional elements and balance demand loads (e.g.information on data networks, electric power on grids). This allows load spikes…
Uncertainty Quantification of Multi-Scale Resilience in Nonlinear Complex Networks using Arbitrary Polynomial Chaos
Mengbang Zou, Luca Zanotti Fragonara, Weisi Guo
Resilience characterizes a system's ability to retain its original function when perturbations happen. In the past years our attention mainly focused on small-scale resilience, yet…
Uncertainty of Resilience in Complex Networks with Nonlinear Dynamics
Giannis Moutsinas, Mengbang Zou, Weisi Guo
Resilience is a system's ability to maintain its function when perturbations and errors occur. Whilst we understand low-dimensional networked systems' behavior well, our understand…