Skip To Main Content
Euhanna Ghadimi on Muck Rack

Euhanna Ghadimi

As seen in: arXiv
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Euhanna

Contact Euhanna, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

[2306.06251] Design Principles for Model Generalization and Scalable AI Integration in Radio Access Networks

|
By Euhanna Ghadimi, Burak Sencer Demirel, Yu Wang, Raimundas Gaigalas
| arXiv
[Submitted on 9 Jun 2023 ( v1 ), last revised 12 Jan 2024 (this version, v2)] Title:Design Principles for Model Generalization and Scalable AI Integration in Radio Access Networks Download a PDF of the paper titled Design Principles for Model Generalization and Scalable AI Integration in Radio Access Networks, by Pablo Soldati and 4 other authors Download PDF HTML (experimental) Abstract:Artificial intelligence (AI) has emerged as a powerful tool for addressing complex and dynamic tasks in...
Open in Who Shared Issue with article?

Enhancing 5G RAN performance with AI

|
By Philipp Frank, Euhanna Ghadimi, Ursula Challita, Pablo Soldati
| ericsson.com
Home Reports and papers ... Articles Enhancing RAN performance with AI Artificial intelligence (AI) has a key role to play in helping operators achieve a high degree of automation, increase network performance and shorten time to market for new features. Our research demonstrates that graph-based frameworks for both network design and network optimization can generate onsiderable benefits for operators.
Open in Who Shared Issue with article?
See all 2 articles