activity
20182024
most cited5G-Advanced AI/ML Beam Management: Performance Evaluation with Integrated ML Models

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SP2024★ 2 cited

5G-Advanced AI/ML Beam Management: Performance Evaluation with Integrated ML Models

Nalin Jayaweera, Andrea Bonfante, Mark Schamberger +6

The legacy beam management (BM) procedure in 5G introduces higher measurement and reporting overheads for larger beam codebooks resulting in higher power consumption of user equipm…

eess.SP2021

Elevated LiDAR based Sensing for 6G -- 3D Maps with cm Level Accuracy

Madhushanka Padmal, Dileepa Marasinghe, Vijitha Isuru +3

One key vertical application that will be enabled by 6G is the automation of the processes with the increased use of robots. As a result, sensing and localization of the surroundin…

cs.IT2020

Factory Automation: Resource Allocation of an Elevated LiDAR System with URLLC Requirements

Nalin Jayaweera, Dileepa Marasinghe, Nandana Rajatheva +1

Ultra-reliable and low-latency communications (URLLC) play a vital role in factory automation. To share the situational awareness data collected from the infrastructure as raw or p…

eess.SP2020

Hierarchical User Clustering for mmWave-NOMA Systems

Dileepa Marasinghe, Nalin Jayaweera, Nandana Rajatheva +1

Non-orthogonal multiple access (NOMA) and mmWave are two complementary technologies that can support the capacity demand that arises in 5G and beyond networks. The increasing numbe…

cs.AI2018

Autonomous Driving without a Burden: View from Outside with Elevated LiDAR

Nalin Jayaweera, Nandana Rajatheva, Matti Latva-aho

The current autonomous driving architecture places a heavy burden in signal processing for the graphics processing units (GPUs) in the car. This directly translates into battery dr…