34 citations · 63 across the 7 of their papers we have counts for
7 papers
Impact of Phase Errors on Distributed NTN Beam Focusing
Ahmad Nimr, Mohammad Parvini, Bitan Banerjee +1
This paper investigates distributed beam focusing for coordinated satellite constellations with phased arrays, motivated by future non-terrestrial network (NTN) systems. A geometri…
A Low-Complexity Machine Learning Design for mmWave Beam Prediction
Muhammad Qurratulain Khan, Abdo Gaber, Mohammad Parvini +2
The 3rd Generation Partnership Project (3GPP) is currently studying machine learning (ML) for the fifth generation (5G)-Advanced New Radio (NR) air interface, where spatial and tem…
Toward an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets
Rodrigo Hernangómez, Alexandros Palaios, Cara Watermann +13
This paper presents two wireless measurement campaigns in industrial testbeds: industrial Vehicle-to-vehicle (iV2V) and industrial Vehicle-to-infrastructure plus Sensor (iV2I+), to…
Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies
Rodrigo Hernangómez, Philipp Geuer, Alexandros Palaios +14
The evolution of wireless communications into 6G and beyond is expected to rely on new machine learning (ML)-based capabilities. These can enable proactive decisions and actions fr…
A Comprehensive Survey of Spectrum Sharing Schemes from a Standardization and Implementation Perspective
Mohammad Parvini, Amir Hossein Zarif, Ali Nouruzi +5
As the services and requirements of next-generation wireless networks become increasingly diversified, it is estimated that the current frequency bands of mobile network operators…
AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning
Mohammad Parvini, Mohammad Reza Javan, Nader Mokari +2
This paper investigates the problem of age of information (AoI) aware radio resource management for a platooning system. Multiple autonomous platoons exploit the cellular wireless…
A Unified Framework for Joint Energy and AoI Optimization via Deep Reinforcement Learning for NOMA MEC-based Networks
Abolfazl Zakeri, Mohammad Parvini, Mohammad Reza Javan +2
In this paper, we design a novel scheduling and resource allocation algorithm for a smart mobile edge computing (MEC) assisted radio access network. Different from previous energy…