240 citations · 2.2k across the 111 of their papers we have counts for
135 papers
Conditional Denoising Diffusion Probabilistic Models for Data Reconstruction Enhancement in Wireless Communications
Mehdi Letafati, Samad Ali, Matti Latva-aho
In this paper, conditional denoising diffusion probabilistic models (DDPMs) are proposed to enhance the data transmission and reconstruction over wireless channels. The underlying…
Latency-Aware Radio Resource Optimization in Learning-Based Cloud-Aided Small Cell Wireless Networks
Tamoor-ul-Hassan Syed, Samarakoon Sumudu, Bennis Mehdi +1
Low latency communication is one of the fundamental requirements for 5G wireless networks and beyond. In this paper, a novel approach for joint caching, user scheduling and resourc…
Probabilistic Constellation Shaping With Denoising Diffusion Probabilistic Models: A Novel Approach
Mehdi Letafati, Samad Ali, Matti Latva-aho
With the incredible results achieved from generative pre-trained transformers (GPT) and diffusion models, generative AI (GenAI) is envisioned to yield remarkable breakthroughs in v…
Unrolled Architectures for High-Throughput Encoding of Multi-Kernel Polar Codes
Hossein Rezaei, Elham Abbasi, Nandana Rajatheva +1
Over the past decade, polar codes have received significant traction and have been selected as the coding method for the control channel in fifth-generation (5G) wireless communica…
Predictive Resource Allocation for URLLC using Empirical Mode Decomposition
Chandu Jayawardhana, Thushan Sivalingam, Nurul Huda Mahmood +2
Effective resource allocation is a crucial requirement to achieve the stringent performance targets of ultra-reliable low-latency communication (URLLC) services. Predicting future…
Fitting the Distribution of Linear Combinations of t-Variables with more than 2 Degrees of Freedom
Onel L. Alcaraz López, Evelio M. G. Fernández, Matti Latva-aho
The linear combination of Student's random variables (RVs) appears in many statistical applications. Unfortunately, the Student's distribution is not closed under convoluti…
High-Throughput Rate-Flexible Combinational Decoders for Multi-Kernel Polar Codes
Hossein Rezaei, Nandana Rajatheva, Matti Latva-aho
Polar codes have received growing attention in the past decade and have been selected as the coding scheme for the control channel in the fifth generation (5G) wireless communicati…
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…
Permutation Matrix Modulation
Rahmat Faddli Siregar, Nandana Rajatheva, Matti Latva-Aho
We propose a novel scheme that allows MIMO system to modulate a set of permutation matrices to send more information bits, extending our initial work on the topic. This system is c…
A Nonlinear Autoregressive Neural Network for Interference Prediction and Resource Allocation in URLLC Scenarios
Christian Padilla, Ramin Hashemi, Nurul Huda Mahmood +1
Ultra reliable low latency communications (URLLC) is a new service class introduced in 5G which is characterized by strict reliability and low latency requirements (1…
Self-energy recycling for low-power reliable networks: Half-duplex or Full-duplex?
Dian Echevarría Pérez, Onel L. Alcaraz López, Hirley Alves +1
Self-energy recycling (sER), which allows transmit energy re-utilization, has emerged as a viable option for improving the energy efficiency (EE) in low-power Internet of Things ne…
Deep Reinforcement Learning for Practical Phase Shift Optimization in RIS-aided MISO URLLC Systems
Ramin Hashemi, Samad Ali, Nurul Huda Mahmood +1
We study the joint active/passive beamforming and channel blocklength (CBL) allocation in a non-ideal reconfigurable intelligent surface (RIS)-aided ultra-reliable and low-latency…
LiDAR Aided Human Blockage Prediction for 6G
Dileepa Marasinghe, Nandana Rajatheva, Matti Latva-aho
Leveraging higher frequencies up to THz band paves the way towards a faster network in the next generation of wireless communications. However, such shorter wavelengths are suscept…
Distributed UAV-enabled zero-forcing cooperative jamming scheme for safeguarding future wireless networks
X. A. Flores Cabezas, D. P. Moya Osorio, M. Latva-aho
In this work, we investigate the impact of two cooperative unmanned aerial vehicle (UAV)-based jammers on the secrecy performance of a ground wireless network in the presence of an…