94 citations · 114 across the 7 of their papers we have counts for
8 papers · 1 filter
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…
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…
6G White Paper on Machine Learning in Wireless Communication Networks
Samad Ali, Walid Saad, Nandana Rajatheva +24
The focus of this white paper is on machine learning (ML) in wireless communications. 6G wireless communication networks will be the backbone of the digital transformation of socie…
Contextual Bandit Learning for Machine Type Communications in the Null Space of Multi-Antenna Systems
Samad Ali, Hossein Asgharimoghaddam, Nandana Rajatheva +2
In this paper, a novel approach based on the concept of opportunistic spatial orthogonalization (OSO) is proposed for interference management between machine type communications (M…
Sleeping Multi-Armed Bandit Learning for Fast Uplink Grant Allocation in Machine Type Communications
Samad Ali, Aidin Ferdowsi, Walid Saad +2
Scheduling fast uplink grant transmissions for machine type communications (MTCs) is one of the main challenges of future wireless systems. In this paper, a novel fast uplink grant…
A Directed Information Learning Framework for Event-Driven M2M Traffic Prediction
Samad Ali, Walid Saad, Nandana Rajatheva
Burst of transmissions stemming from event-driven traffic in machine type communication (MTC) can lead to congestion of random access resources, packet collisions, and long delays.…