collaborators

6 papers

eess.SP2026

Failure-Aware Access Point Selection for Resilient Cell-Free Massive MIMO Networks

Mostafa Rahmani Ghourtani, Junbo Zhao, Yi Chu +3

This paper presents a Failure-Aware Access Point Selection (FAAS) method aimed at improving hardware resilience in cell-free massive MIMO (CF-mMIMO) networks. FAAS selects APs for…

eess.SY2025

CSI Compression Beyond Latents: End-to-End Hybrid Attention-CNN Networks with Entropy Regularization

Maryam Ansarifard, Mostafa Rahmani, Mohit K. Sharma +3

Massive MIMO systems rely on accurate Channel State Information (CSI) feedback to enable high-gain beam-forming. However, the feedback overhead scales linearly with the number of a…

eess.SP2025

Lightweight Graph Neural Networks for Enhanced 5G NR Channel Estimation

Sajedeh Norouzi, Mostafa Rahmani, Yi Chu +3

Effective channel estimation CE is critical for optimizing the performance of 5G New Radio NR systems particularly in dynamic environments where traditional methods struggle with c…

eess.SP2025

Exploring O-RAN Compression Techniques in Decentralized Distributed MIMO Systems: Reducing Fronthaul Load

Mostafa Rahmani, Junbo Zhao, Vida Ranjbar +4

This paper explores the application of uplink fronthaul compression techniques within Open RAN (O-RAN) to mitigate fronthaul load in decentralized distributed MIMO (DD-MIMO) system…

eess.SP2025

Pilot and Data Power Control for Uplink Cell-free massive MIMO

Saeed Mohammadzadeh, Mostafa Rahmani, Kanapathippillai Cumanan +2

This paper introduces a novel iterative algorithm for optimizing pilot and data power control (PC) in cell-free massive multiple-input multiple-output (CF-mMIMO) systems, aiming to…

cs.NI2025

Testbed Development: An Intelligent O-RAN based Cell-Free MIMO Network

Yi Chu, Mostafa Rahmani, Josh Shackleton +4

Cell-free multiple input multiple output (CF-MIMO) systems improve spectral and energy efficiencies using distributed access points (APs) to provide reliable service across an area…