activity
20172026
most cited6G White Paper on Machine Learning in Wireless Communication Networks

94 citations · 114 across the 9 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.NI202120 cited

Deep Reinforcement Based Optimization of Function Splitting in Virtualized Radio Access Networks

Fahri Wisnu Murti, Samad Ali, Matti Latva-aho

Virtualized Radio Access Network (vRAN) is one of the key enablers of future wireless networks as it brings the agility to the radio access network (RAN) architecture and offers de…

cs.IT2021

Average Rate Analysis of RIS-aided Short Packet Communication in URLLC Systems

Ramin Hashemi, Samad Ali, Nurul Huda Mahmood +1

In this paper, the average achievable rate of a re-configurable intelligent surface (RIS) aided factory automation is investigated in finite blocklength (FBL) regime. First, the co…

eess.SP2021

Deep Contextual Bandits for Fast Neighbor-Aided Initial Access in mmWave Cell-Free Networks

Insaf Ismath, Samad Ali, Nandana Rajatheva +1

Access points (APs) in millimeter-wave (mmWave) and sub-THz-based user-centric (UC) networks will have sleep mode functionality. As a result of this, it becomes challenging to solv…

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.IT2021

Event-Driven Source Traffic Prediction in Machine-Type Communications Using LSTM Networks

Thulitha Senevirathna, Bathiya Thennakoon, Tharindu Sankalpa +3

Source traffic prediction is one of the main challenges of enabling predictive resource allocation in machine type communications (MTC). In this paper, a Long Short-Term Memory (LS…