3 citations · 6 across the 11 of their papers we have counts for
12 papers
RRM-GPT: A Framework and Vision for Radio Resource Management Foundation Models
Ahmed Aboulfotouh, Akram Bin Sediq, Koosha Pourtahmasi Roshandeh +4
Learning-based models for radio resource management (RRM) are typically built for a single function and deployment, so each new setting repeats the development pipeline. RRM decisi…
Agentic Autoresearch for Cell-Edge Power Control: Radically Redefining the Researcher's Role
Ahmad Khan, Akram Bin Sediq, Sara Azadegi Naeini +1
Designing machine learning algorithms for wireless resource management is labour-intensive: the architecture, the loss function and the training recipe are all specified by hand. W…
Out-of-Distribution Detection in Wireless Multimodal Foundation Models for 6G ISAC
Mohammad Farzanullah, Akram Bin Sediq, Ali Afana +1
The integration of Foundation Models (FMs), such as the Wireless Multimodal Foundation Model (WMFM), into 6G networks provides a unified framework for Integrated Sensing and Commun…
Chain-of-Thought Reasoning Enhances In-Context Learning for LLM-Based Mobile Traffic Prediction
MohammadMahdi Ghadaksaz, Mohammad Farzanullah, Akram Bin Sediq +2
Accurate short-term mobile traffic prediction is important for proactive resource allocation and low-latency network management in fifth generation (5G) and sixth generation (6G).…
Dual-Transformer Aided Hierarchical Deep Reinforcement Learning for Robust RIS-Assisted Near-Field Communications
Mohammad Ghassemi, Han Zhang, Ali Afana +2
The deployment of extremely large aperture arrays (ELAAs) in sixth-generation (6G) networks is expected to shift communications into the near-field regime, where spherical-wave pro…
Hardware Limitations of Dynamic Metasurface Antennas in the Uplink: A Comparative Study
Maryam Rezvani, Raviraj Adve, Amr El-Keyi +1
Dynamic Metasurface Antennas (DMAs) have emerged as promising candidates for basestation deployment in the next generation of wireless communications. While overlooking the practic…
Uplink Wave-Domain Combiner for Stacked Intelligent Metasurfaces Accounting for Hardware Limitations
Maryam Rezvani, Raviraj Adve, Akram bin Sediq +1
Refractive metasurfaces (RMTSs) offer a promising solution to improve energy efficiency of wireless systems. To address the limitations of single-layer RMTS, stacked intelligent me…
Generative AI-in-the-loop: Integrating LLMs and GPTs into the Next Generation Networks
Han Zhang, Akram Bin Sediq, Ali Afana +1
In recent years, machine learning (ML) techniques have created numerous opportunities for intelligent mobile networks and have accelerated the automation of network operations. How…
Generative AI Empowered LiDAR Point Cloud Generation with Multimodal Transformer
Mohammad Farzanullah, Han Zhang, Akram Bin Sediq +2
Integrated sensing and communications is a key enabler for the 6G wireless communication systems. The multiple sensing modalities will allow the base station to have a more accurat…
Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detection
Han Zhang, Akram Bin Sediq, Ali Afana +1
Large language models (LLMs), especially generative pre-trained transformers (GPTs), have recently demonstrated outstanding ability in information comprehension and problem-solving…
The Internet of Senses: Building on Semantic Communications and Edge Intelligence
Roghayeh Joda, Medhat Elsayed, Hatem Abou-zeid +5
The Internet of Senses (IoS) holds the promise of flawless telepresence-style communication for all human `receptors' and therefore blurs the difference of virtual and real environ…
Optimized Distributed Inter-cell Interference Coordination (ICIC) Scheme using Projected Subgradient and Network Flow Optimization
Akram Bin Sediq, Rainer Schoenen, Halim Yanikomeroglu +1
In this paper, we tackle the problem of multi-cell resource scheduling, where the objective is to maximize the weighted sum-rate through inter-cell interference coordination (ICIC)…