13 citations · 37 across the 20 of their papers we have counts for
24 papers
Continuous-Utility Direct Preference Optimization
Muhammad Ahmed Mohsin, Muhammad Umer, Ahsan Bilal +6
Large language model reasoning is often treated as a monolithic capability, relying on binary preference supervision that fails to capture partial progress or fine-grained reasonin…
Transformer-Based Sparse CSI Estimation for Non-Stationary Channels
Muhammad Ahmed Mohsin, Muhammad Umer, Ahsan Bilal +4
Accurate and efficient estimation of Channel State Information (CSI) is critical for next-generation wireless systems operating under non-stationary conditions, where user mobility…
On the Fundamental Limits of LLMs at Scale
Muhammad Ahmed Mohsin, Muhammad Umer, Ahsan Bilal +13
Large Language Models (LLMs) have benefited enormously from scaling, yet these gains are bounded by five fundamental limitations: (1) hallucination, (2) context compression, (3) re…
Net-Zero 6G from Earth to Orbit: Sustainable Design of Integrated Terrestrial and Non-Terrestrial Networks
Muhammad Ali Jamshed, Malik Muhammad Saad, Muhammad Ahmed Mohsin +4
The integration of Terrestrial Networks (TN) and Non-Terrestrial Networks (NTN) plays a crucial role in bridging the digital divide and enabling Sixth Generation (6G) and beyond to…
6G Twin: Hybrid Gaussian Radio Fields for Channel Estimation and Non-Linear Precoder Design for Radio Access Networks
Muhammad Ahmed Mohsin, Muhammad Umer, Ahsan Bilal +3
This work introduces 6G Twin, the first end-to-end artificial intelligence (AI)-native radio access network (RAN) design that unifies (i) neural Gaussian Radio Fields (GRF) for com…
Channel Prediction under Network Distribution Shift Using Continual Learning-based Loss Regularization
Muhammad Ahmed Mohsin, Muhammad Umer, Ahsan Bilal +4
Modern wireless networks face critical challenges when mobile users traverse heterogeneous network configurations with varying antenna layouts, carrier frequencies, and scattering…
Conditional Prior-based Non-stationary Channel Estimation Using Accelerated Diffusion Models
Muhammad Ahmed Mohsin, Ahsan Bilal, Muhammad Umer +4
Wireless channels in motion-rich urban microcell (UMi) settings are non-stationary; mobility and scatterer dynamics shift the distribution over time, degrading classical and deep e…
Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks
Muhammad Ahmed Mohsin, Junaid Ahmad, Muhammad Hamza Nawaz +1
Ambient intelligence (AmI) is a computing paradigm in which physical environments are embedded with sensing, computation, and communication so they can perceive people and context,…
TeraRIS NOMA-MIMO Communications for 6G and Beyond Industrial Networks
Ali Raza, Muhammad Farhan Khan, Zeeshan Alam +4
This paper presents a joint framework that integrates reconfigurable intelligent surfaces (RISs) with Terahertz (THz) communications and non-orthogonal multiple access (NOMA) to en…
AI Enabled 6G for Semantic Metaverse: Prospects, Challenges and Solutions for Future Wireless VR
Muhammad Ahmed Mohsin, Sagnik Bhattacharya, Abhiram Gorle +2
Wireless support of virtual reality (VR) has challenges when a network has multiple users, particularly for 3D VR gaming, digital AI avatars, and remote team collaboration. This wo…
Meta-Reinforcement Learning for Fast and Data-Efficient Spectrum Allocation in Dynamic Wireless Networks
Oluwaseyi Giwa, Tobi Awodunmila, Muhammad Ahmed Mohsin +2
The dynamic allocation of spectrum in 5G / 6G networks is critical to efficient resource utilization. However, applying traditional deep reinforcement learning (DRL) is often infea…
Continual Learning for Wireless Channel Prediction
Muhammad Ahmed Mohsin, Muhammad Umer, Ahsan Bilal +2
Modern 5G/6G deployments routinely face cross-configuration handovers--users traversing cells with different antenna layouts, carrier frequencies, and scattering statistics--which…
QPPG: Quantum-Preconditioned Policy Gradient for Link Adaptation in Rayleigh Fading Channels
Oluwaseyi Giwa, Muhammad Ahmed Mohsin, Folarin Jubril Adesola +1
Reliable link adaptation is critical for efficient wireless communications in dynamic fading environments. However, reinforcement learning (RL) solutions often suffer from unstable…
Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey
Ahsan Bilal, Muhammad Ahmed Mohsin, Muhammad Umer +2
This survey explores the development of meta-thinking capabilities in Large Language Models (LLMs) from a Multi-Agent Reinforcement Learning (MARL) perspective. Meta-thinking self-…
Vision Transformer Based Semantic Communications for Next Generation Wireless Networks
Muhammad Ahmed Mohsin, Muhammad Jazib, Zeeshan Alam +3
In the evolving landscape of 6G networks, semantic communications are poised to revolutionize data transmission by prioritizing the transmission of semantic meaning over raw data a…
Artificial Intelligence, Ambient Backscatter Communication and Non-Terrestrial Networks: A 6G Commixture
Muhammad Ali Jamshed, Bushra Haq, Muhammad Ahmed Mohsin +2
The advent of Non-Terrestrial Networks (NTN) represents a compelling response to the International Mobile Telecommunications 2030 (IMT-2030) framework, enabling the delivery of adv…
A Tutorial on Non-Terrestrial Networks: Towards Global and Ubiquitous 6G Connectivity
Muhammad Ali Jamshed, Aryan Kaushik, Sanaullah Manzoor +5
The International Mobile Telecommunications (IMT)-2030 framework recently adopted by the International Telecommunication Union Radiocommunication Sector (ITU-R) envisions 6G networ…
Non-Terrestrial Networks for 6G: Integrated, Intelligent and Ubiquitous Connectivity
Muhammad Ali Jamshed, Aryan Kaushik, Miguel Dajer +6
Universal connectivity has been part of past and current generations of wireless systems, but as we approach 6G, the subject of social responsibility is being built as a core compo…
Beyond Diagonal RIS for 6G Non-Terrestrial Networks: Potentials and Challenges
Wali Ullah Khan, Asad Mahmood, Muhammad Ali Jamshed +3
Reconfigurable intelligent surface (RIS) has emerged as a promising technology in both terrestrial and non-terrestrial networks (NTNs) due to its ability to manipulate wireless env…
Synergizing Airborne Non-Terrestrial Networks and Reconfigurable Intelligent Surfaces-Aided 6G IoT
Muhammad Ali Jamshed, Aryan Kaushik, Mesut Toka +4
On the one hand, Reconfigurable Intelligent Surfaces (RISs) emerge as a promising solution to meet the demand for higher data rates, improved coverage, and efficient spectrum utili…
Green UAV-enabled Internet-of-Things Network with AI-assisted NOMA for Disaster Management
Muhammad Ali Jamshed, Ferheen Ayaz, Aryan Kaushik +2
Unmanned aerial vehicle (UAV)-assisted communication is becoming a streamlined technology in providing improved coverage to the internet-of-things (IoT) based devices. Rapid deploy…
Opportunities for Intelligent Reflecting Surfaces in 6G-Empowered V2X Communications
Wali Ullah Khan, Asad Mahmood, Arash Bozorgchenani +7
This paper first describes the introduction of 6G-empowered V2X communications and IRS technology. Then it discusses different use case scenarios of IRS enabled V2X communications…
Energy Efficiency Optimization for Backscatter Enhanced NOMA Cooperative V2X Communications under Imperfect CSI
Wali Ullah Khan, Muhammad Ali Jamshed, Eva Lagunas +3
Automotive-Industry 5.0 will use beyond fifth-generation (B5G) technologies to provide robust, computationally intelligent, and energy-efficient data sharing among various onboard…
Backscatter-Aided NOMA V2X Communication under Channel Estimation Errors
Wali Ullah Khan, Muhammad Ali Jamshed, Asad Mahmood +3
Backscatter communications (BC) has emerged as a promising technology for providing low-powered transmissions in nextG (i.e., beyond 5G) wireless networks. The fundamental idea of…