7 papers
Lightweight CFR-Based Modulation Adaptation in a Real-Time MIMO-OFDM SDR Testbed
Luca Borst, Maryam Ansarifard, Ankith Vinayachandran +2
Conventional link adaptation typically relies on scalar link-quality indicators such as signal-to-noise ratio (SNR), while richer channel state information (CSI) can improve adapta…
AoI-Guaranteed Dynamic Route Planning for Connected Vehicles
Sajedeh Norouzi, Maryam Ansarifard, Farshad Zeinali +4
The advancement of Intelligent Transportation Sys- tems (ITS) has been significantly driven by progress in radio communication technology. Dynamic route planning, a key com- ponent…
System-Aware Adaptive CSI Feedback via RL-Guided Autoencoder Switching in Multi-User MIMO System
Maryam Ansarifard, Mohit K. Sharma, George Exarchakos +1
This paper proposes a system-aware adaptive channel state information (CSI) feedback framework for massive multiple-input multiple-output (mMIMO) systems, aiming to dynamically opt…
Transformer Actor-Critic for Efficient Freshness-Aware Resource Allocation
Maryam Ansarifard, Mohit K. Sharma, Kishor C. Joshi +1
Emerging applications such as autonomous driving and industrial automation demand ultra-reliable and low-latency communication (URLLC), where maintaining fresh and timely informati…
CSI Compression Beyond Latents: End-to-End Hybrid Attention-CNN Networks with Entropy Regularization
Maryam Ansarifard, Mostafa Rahmani, Mohit K. Sharma +3
Massive MIMO systems rely on accurate Channel State Information (CSI) feedback to enable high-gain beam-forming. However, the feedback overhead scales linearly with the number of a…
Dynamic Fairness-Aware Spectrum Auction for Enhanced Licensed Shared Access in 6G Networks
Mina Khadem, Maryam Ansarifard, Nader Mokari +3
This article introduces a new approach to address the spectrum scarcity challenge in 6G networks by implementing the enhanced licensed shared access (ELSA) framework. Our proposed…
AI-based Radio and Computing Resource Allocation and Path Planning in NOMA NTNs: AoI Minimization under CSI Uncertainty
Maryam Ansarifard, Nader Mokari, Mohammadreza Javan +2
In this paper, we develop a hierarchical aerial computing framework composed of high altitude platform (HAP) and unmanned aerial vehicles (UAVs) to compute the fully offloaded task…