collaborators

6 papers

eess.IV2026

Robust Wildfire Forecasting under Partial Observability: From Reconstruction to Prediction

Chen Yang, Mehdi Zafari, Ziheng Duan +1

Satellite-derived fire observations are the primary input for learning-based wildfire spread prediction, yet they are inherently incomplete due to cloud cover, smoke obscuration, a…

eess.SP2026

ASSENT: Learning-Based Association Optimization for Distributed Cell-Free ISAC

Mehdi Zafari, A. Lee Swindlehurst

Integrated Sensing and Communication (ISAC) is a key emerging 6G technology. Despite progress, ISAC still lacks scalable methods for joint AP clustering and user/target scheduling…

eess.SP2026

An Analytical and Experimental Study of Distributed Uplink Beamforming in the Presence of Carrier Frequency Offsets

Mehdi Zafari, Divyanshu Pandey, Rahman Doost-Mohammady

Realizing distributed multi-user beamforming (D-MUBF) in time division duplex (TDD)-based multi-user MIMO (MU-MIMO) systems faces significant challenges. One of the most fundamenta…

eess.SP2025

Coordinated Decentralized Resource Optimization for Cell-Free ISAC Systems

Mehdi Zafari, Rang Liu, A. Lee Swindlehurst

Integrated Sensing and Communication (ISAC) is emerging as a key enabler for 6G wireless networks, allowing the joint use of spectrum and infrastructure for both communication and…

eess.SP2025

Multi-Domain Optimization Framework for ISAC: From Electromagnetic Shaping to Network Cooperation

Rang Liu, Ming Li, Mehdi Zafari +2

Integrated sensing and communication (ISAC) has emerged as a key feature for sixth-generation (6G) networks, providing an opportunity to meet the dual demands of communication and…

eess.SY2024

ADMM for Downlink Beamforming in Cell-Free Massive MIMO Systems

Mehdi Zafari, Divyanshu Pandey, Rahman Doost-Mohammady +1

In cell-free massive MIMO systems with multiple distributed access points (APs) serving multiple users over the same time-frequency resources, downlink beamforming is done through…