3 papers
eess.SP2025
Low-Overhead CSI Prediction via Gaussian Process Regression
Syed Luqman Shah, Nurul Huda Mahmood, Italo Atzeni
Accurate channel state information (CSI) is critical for current and next-generation multi-antenna systems. Yet conventional pilot-based estimators incur prohibitive overhead as an…
cs.NI2025
Energy-Efficient and Reliable Data Collection in Receiver-Initiated Wake-up Radio Enabled IoT Networks
Syed Luqman Shah, Ziaul Haq Abbas, Ghulam Abbas +1
In unmanned aerial vehicle (UAV)-assisted wake-up radio (WuR)-enabled internet of things (IoT) networks, UAVs can instantly activate the main radios (MRs) of the sensor nodes (SNs)…
eess.SP2025
Interference Prediction Using Gaussian Process Regression and Management Framework for Critical Services in Local 6G Networks
Syed Luqman Shah, Nurul Huda Mahmood, Matti Latva-aho
Interference prediction and resource allocation are critical challenges in mission-critical applications where stringent latency and reliability constraints must be met. This paper…