activity
20192025
most citedLink Scheduling using Graph Neural Networks

52 citations · 100 across the 20 of their papers we have counts for

collaborators
Showing cs.NIShow all

9 papers · 1 filter

cs.NI2025★ 4 cited

Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks (Journal Version)

Zhongyuan Zhao, Gunjan Verma, Ananthram Swami +1

In wireless networks characterized by dense connectivity, the significant signaling overhead generated by distributed link scheduling algorithms can exacerbate issues like congesti…

cs.NI2025

Joint Task Offloading and Routing in Wireless Multi-hop Networks Using Biased Backpressure Algorithm

Zhongyuan Zhao, Jake Perazzone, Gunjan Verma +3

A significant challenge for computation offloading in wireless multi-hop networks is the complex interaction among traffic flows in the presence of interference. Existing approache…

cs.NI2024

Ant Backpressure Routing for Wireless Multi-hop Networks with Mixed Traffic Patterns

Negar Erfaniantaghvayi, Zhongyuan Zhao, Kevin Chan +3

A mixture of streaming and short-lived traffic presents a common yet challenging scenario for Backpressure routing in wireless multi-hop networks. Although state-of-the-art shortes…

cs.NI2024★ 1 cited

GLANCE: Graph-based Learnable Digital Twin for Communication Networks

Boning Li, Gunjan Verma, Timofey Efimov +2

As digital twins (DTs) to physical communication systems, network simulators can aid the design and deployment of communication networks. However, time-consuming simulations must b…

cs.NI2024

Biased Backpressure Routing Using Link Features and Graph Neural Networks

Zhongyuan Zhao, Bojan Radojičić, Gunjan Verma +2

To reduce the latency of Backpressure (BP) routing in wireless multi-hop networks, we propose to enhance the existing shortest path-biased BP (SP-BP) and sojourn time-based backlog…

cs.NI2024

Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks

Zhongyuan Zhao, Jake Perazzone, Gunjan Verma +1

Computational offloading has become an enabling component for edge intelligence in mobile and smart devices. Existing offloading schemes mainly focus on mobile devices and servers,…

cs.NI2023

Enhanced Backpressure Routing Using Wireless Link Features

Zhongyuan Zhao, Gunjan Verma, Ananthram Swami +1

Backpressure (BP) routing is a well-established framework for distributed routing and scheduling in wireless multi-hop networks. However, the basic BP scheme suffers from poor end-…

cs.NI2023

Learnable Digital Twin for Efficient Wireless Network Evaluation

Boning Li, Timofey Efimov, Abhishek Kumar +4

Network digital twins (NDTs) facilitate the estimation of key performance indicators (KPIs) before physically implementing a network, thereby enabling efficient optimization of the…

cs.NI2020

Rapid Top-Down Synthesis of Large-Scale IoT Networks

Pradipta Ghosh, Jonathan Bunton, Dimitrios Pylorof +6

Advances in optimization and constraint satisfaction techniques, together with the availability of elastic computing resources, have spurred interest in large-scale network verific…