activity
20242026
collaborators

7 papers

cs.NI2026

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

Negar Erfaniantaghvayi, Zhongyuan Zhao, Kevin Chan +2

Backpressure (BP) routing and its shortest-path biased variant (SP-BP) provide powerful congestion-aware multipath resource allocation for wireless multi-hop networks, but they rel…

cs.NI2025

A Differentiable Digital Twin of Distributed Link Scheduling for Contention-Aware Networking

Zhongyuan Zhao, Yujun Ming, Kevin Chan +2

Many routing and flow optimization problems in wired networks can be solved efficiently using minimum cost flow formulations. However, this approach does not extend to wireless mul…

cs.NI2025

Link-Sharing Backpressure Routing In Wireless Multi-Hop Networks

Zhongyuan Zhao, Yujun Ming, Ananthram Swami +3

Backpressure (BP) routing and scheduling is an established resource allocation method for wireless multi-hop networks, noted for its fully distributed operation and maximum queue s…

cs.NI2025

SeLR: Sparsity-enhanced Lagrangian Relaxation for Computation Offloading at the Edge

Negar Erfaniantaghvayi, Zhongyuan Zhao, Kevin Chan +2

This paper introduces a novel computational approach for offloading sensor data processing tasks to servers in edge networks for better accuracy and makespan. A task is assigned wi…

cs.NI2025

Generalizing Biased Backpressure Routing and Scheduling to Wireless Multi-hop Networks with Advanced Air-interfaces

Zhongyuan Zhao, Yujun Ming, Ananthram Swami +3

Backpressure (BP) routing and scheduling is a well-established resource allocation method for wireless multi-hop networks, known for its fully distributed operations and proven max…

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…