1 citations · 2 across the 13 of their papers we have counts for
16 papers
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…
minPIC: Towards Optimal Power Allocation in Multi-User Interference Channels
Sagnik Bhattacharya, Abhiram Rao Gorle, John M. Cioffi
6G envisions massive cell-free networks with spatially nested multiple access (MAC) and broadcast (BC) channels without centralized coordination. This makes optimal resource alloca…
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…
ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
Sagnik Bhattacharya, Abhiram Gorle, Ahsan Bilal +3
Generative modeling of non-negative, discrete data, such as symbolic music, remains challenging due to two persistent limitations in existing methods. Firstly, many approaches rely…
LZMidi: Compression-Based Symbolic Music Generation
Connor Ding, Abhiram Gorle, Sagnik Bhattacharya +3
Recent advances in symbolic music generation primarily rely on deep learning models such as Transformers, GANs, and diffusion models. While these approaches achieve high-quality re…
Retrieval Augmented Generation with Multi-Modal LLM Framework for Wireless Environments
Muhammad Ahmed Mohsin, Ahsan Bilal, Sagnik Bhattacharya +1
Future wireless networks aim to deliver high data rates and lower power consumption while ensuring seamless connectivity, necessitating robust optimization. Large language models (…
An Information-Theoretic Efficient Capacity Region for Multi-User Interference Channel
Sagnik Bhattacharya, Abhiram Rao Gorle, Muhammad Ali Mohsin +1
We investigate the capacity region of multi-user interference channels (IC), where each user encodes multiple sub-user components. By unifying chain-rule decomposition with the Ent…
Task and Perception-aware Distributed Source Coding for Correlated Speech under Bandwidth-constrained Channels
Sagnik Bhattacharya, Muhammad Ahmed Mohsin, Ahsan Bilal +1
Emerging wireless AR/VR applications require real-time transmission of correlated high-fidelity speech from multiple resource-constrained devices over unreliable, bandwidth-limited…
Optimum Power Allocation for Low Rank Wi-Fi Channels: A Comparison with Deep RL Framework
Muhammad Ahmed Mohsin, Sagnik Bhattacharya, Kamyar Rajabalifardi +2
Upcoming Augmented Reality (AR) and Virtual Reality (VR) systems require high data rates ( 500 Mbps) and low power consumption for seamless experience. With an increasing num…
Optimum Power-Subcarrier Allocation and Time-Sharing in Multicarrier NOMA Uplink
Sagnik Bhattacharya, Kamyar Rajabalifardi, Muhammad Ahmed Mohsin +1
Currently used resource allocation methods for uplink multicarrier non-orthogonal multiple access (MC-NOMA) systems have multiple shortcomings. Current approaches either allocate t…
Successive Interference Cancellation-aided Diffusion Models for Joint Channel Estimation and Data Detection in Low Rank Channel Scenarios
Sagnik Bhattacharya, Muhammad Ahmed Mohsin, Kamyar Rajabalifardi +1
This paper proposes a novel joint channel-estimation and source-detection algorithm using successive interference cancellation (SIC)-aided generative score-based diffusion models.…
Hierarchical Deep Reinforcement Learning for Adaptive Resource Management in Integrated Terrestrial and Non-Terrestrial Networks
Muhammad Ahmed Mohsin, Hassan Rizwan, Muhammad Umer +3
Efficient spectrum allocation has become crucial as the surge in wireless-connected devices demands seamless support for more users and applications, a trend expected to grow with…
Scaling 6G Subscribers with Fewer BS Antennas using Multi-carrier NOMA in Fixed Wireless Access
Kamyar Rajabalifardi, Sagnik Bhattacharya, Mehrnaz Afshang +2
This paper introduces a novel power allocation and subcarrier optimization algorithm tailored for fixed wireless access (FWA) networks operating under low-rank channel conditions,…
Optimal Power Allocation and Time Sharing in Low Rank Multi-carrier Wi-Fi Channels
Sagnik Bhattacharya, Kamyar Rajabalifardi, Muhammad Ahmed Mohsin +2
The ever-evolving landscape of distributed wireless systems, e.g. multi-user AR/VR systems, demands high data rates (up to 500 Mbps per user) and low power consumption. With increa…
The Geometry of the Set of Equivalent Linear Neural Networks
Jonathan Richard Shewchuk, Sagnik Bhattacharya
We characterize the geometry of the set of all weight vectors for which a fully-connected linear neural network computes the same linear transformation . Said another way, the s…