6 papers
Agentic AI-Based Joint Computing and Networking via Mixture of Experts and Large Language Models
Robert-Jeron Reifert, Alaa Alameer Ahmad, Hayssam Dahrouj +1
Future sixth-generation (6G) mobile networks are envisioned to be equipped with a diverse set of powerful, yet highly specialized, optimization experts. Such a promising vision is…
Fluid-Antenna-Enabled Integrated Bistatic Sensing and Backscatter Communication Systems
A. Abdelaziz Salem, Saeed Abdallah, Khawla Alnajjar +4
This paper studies a fluid-antenna-enabled integrated bistatic sensing and backscatter communication system for future networks where connectivity, power delivery, and environmenta…
Deep Unfolded Fractional Optimization for Maximizing Robust Throughput in 6G Networks
Anh Thi Bui, Robert-Jeron Reifert, Hayssam Dahrouj +1
The sixth-generation (6G) of wireless communication networks aims to leverage artificial intelligence tools for efficient and robust network optimization. This is especially the ca…
Sum Rate and Worst Case SINR Optimization in Multi HAPS Ground Integrated Networks
Shasha Liu, Hayssam Dahrouj, Abla Kammoun +1
Balancing throughput and fairness promises to be a key enabler for achieving large-scale digital inclusion in future vertical heterogeneous networks (VHetNets). In an attempt to ad…
An Overview of the Prospects and Challenges of Using Artificial Intelligence for Energy Management Systems in Microgrids
Noor ul Misbah Khanum, Hayssam Dahrouj, Ramesh C. Bansal +1
Microgrids have emerged as a pivotal solution in the quest for a sustainable and energy-efficient future. While microgrids offer numerous advantages, they are also prone to issues…
Personalized Federated Learning for Cellular VR: Online Learning and Dynamic Caching
Krishnendu S. Tharakan, Hayssam Dahrouj, Nour Kouzayha +2
Delivering an immersive experience to virtual reality (VR) users through wireless connectivity offers the freedom to engage from anywhere at any time. Nevertheless, it is challengi…