collaborators

5 papers

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

Enhancing Open RAN Digital Twin Through Power Consumption Measurement

Ahmed Al-Tahmeesschi, Yi Chu, Josh Shackleton +4

The increasing demand for high-speed, ultra-reliable and low-latency communications in 5G and beyond networks has led to a significant increase in power consumption, particularly w…

cs.NI2025

Towards Sustainability in 6G and beyond: Challenges and Opportunities of Open RAN

Hamed Ahmadi, Mostafa Rahmani, Swarna Bindu Chetty +4

The transition to 6G is expected to bring significant advancements, including much higher data rates, enhanced reliability and ultra-low latency compared to previous generations. A…

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…