240 citations · 2.2k across the 111 of their papers we have counts for
11 papers · 1 filter
Reconfigurable Intelligent Surfaces: The New Frontier of Next G Security
Jacek Kibilda, Nurul H. Mahmood, André Gomes +2
RIS is one of the significant technological advancements that will mark next-generation wireless. RIS technology also opens up the possibility of new security threats, since the re…
Graph Representation Learning for Wireless Communications
Maryam Mohsenivatani, Samad Ali, Vismika Ranasinghe +2
Wireless networks are inherently graph-structured, which can be utilized in graph representation learning to solve complex wireless network optimization problems. In graph represen…
A Combinational Multi-Kernel Decoder for Polar Codes
Hossein Rezaei, Nandana Rajatheva, Matti Latva-aho
Polar codes have been selected as the channel coding scheme for control channel in the fifth generation (5G) communication system thanks to their capacity achieving characteristics…
A Learning-Based Trajectory Planning of Multiple UAVs for AoI Minimization in IoT Networks
Eslam Eldeeb, Dian Echevarría Pérez, Jean Michel de Souza Sant'Ana +4
Many emerging Internet of Things (IoT) applications rely on information collected by sensor nodes where the freshness of information is an important criterion. \textit{Age of Infor…
Deep Reinforcement Learning for Orchestrating Cost-Aware Reconfigurations of vRANs
Fahri Wisnu Murti, Samad Ali, George Iosifidis +1
Virtualized Radio Access Networks (vRANs) are fully configurable and can be implemented at a low cost over commodity platforms to enable network management flexibility. In this pap…
A Functional Architecture for 6G Special Purpose Industrial IoT Networks
{Nurul Huda Mahmood, Gilberto Berardinelli, Emil J. Khatib +3
Future industrial applications will encompass compelling new use cases requiring stringent performance guarantees over multiple key performance indicators (KPI) such as reliability…
Joint Sum Rate and Blocklength Optimization in RIS-aided Short Packet URLLC Systems
Ramin Hashemi, Samad Ali, Nurul Huda Mahmood +1
In this paper, a multi-objective optimization problem (MOOP) is proposed for maximizing the achievable finite blocklength (FBL) rate while minimizing the utilized channel blockleng…
Learning-Based Orchestration for Dynamic Functional Split and Resource Allocation in vRANs
Fahri Wisnu Murti, Samad Ali, George Iosifidis +1
One of the key benefits of virtualized radio access networks (vRANs) is network management flexibility. However, this versatility raises previously-unseen network management challe…
Coordinated Pilot Transmissions for Detecting the Signal Sparsity Level in a Massive IoT Network under Rayleigh Fading
Onel L. A. López, Glauber Brante, Richard D. Souza +2
Grant-free protocols exploiting compressed sensing (CS) multi-user detection (MUD) are appealing for solving the random access problem in massive machine-type communications (mMTC)…
Deep Learning-Based Blind Multiple User Detection for Grant-free SCMA and MUSA Systems
Thushan Sivalingam, Samad Ali, Nurul Huda Mahmood +2
Massive machine-type communications (mMTC) in 6G requires supporting a massive number of devices with limited resources, posing challenges in efficient random access. Grant-free ra…
Supervised Learning based Sparse Channel Estimation for RIS aided Communications
Dilin Dampahalage, K. B. Shashika Manosha, Nandana Rajatheva +1
An reconfigurable intelligent surface (RIS) can be used to establish line-of-sight (LoS) communication when the direct path is compromised, which is a common occurrence in a millim…