240 citations · 2.2k across the 111 of their papers we have counts for
63 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…
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…
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…
Weighted Secrecy Coverage Analysis and the Impact of Friendly Jamming over UAV-Enabled Networks
X. A. Flores Cabezas, D. P. Moya Osorio, M. Latva-aho
In 5G and beyond networks, Unmanned Aerial Vehicles (UAV) are an attractive solution to enhance the secrecy of a wireless systems by exploiting their predominant LOS links and spac…
Graph Neural Network Based Access Point Selection for Cell-Free Massive MIMO Systems
Vismika Ranasinghe, Nandana Rajatheva, Matti Latva-aho
A graph neural network (GNN) based access point (AP) selection algorithm for cell-free massive multiple-input multiple-output (MIMO) systems is proposed. Two graphs, a homogeneous…
Deep Neural Network-Based Blind Multiple User Detection for Grant-free Multi-User Shared Access
Thushan Sivalingam, Samad Ali, Nurul Huda Mahmood +2
Multi-user shared access (MUSA) is introduced as advanced code domain non-orthogonal complex spreading sequences to support a massive number of machine-type communications (MTC) de…
Deep Learning-Based Active User Detection for Grant-free SCMA Systems
Thushan Sivalingam, Samad Ali, Nurul Huda Mahmood +2
Grant-free random access and uplink non-orthogonal multiple access (NOMA) have been introduced to reduce transmission latency and signaling overhead in massive machine-type communi…
Massive MIMO with Radio Stripes for Indoor Wireless Energy Transfer
Onel L. A. López, Dileep Kumar, Richard Demo Souza +3
Radio frequency wireless energy transfer (WET) is a promising solution for powering autonomous Internet of Things (IoT) deployments. In this work, we leverage energy beamforming fo…
CSI-free Rotary Antenna Beamforming for Massive RF Wireless Energy Transfer
Onel L. A. López, Hirley Alves, Samuel Montejo-Sánchez +2
Radio frequency (RF) wireless energy transfer (WET) is a key technology that may allow seamlessly powering future massive low-energy Internet of Things (IoT) networks. To enable ef…
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…
Average Rate and Error Probability Analysis in Short Packet Communications over RIS-aided URLLC Systems
Ramin Hashemi, Samad Ali, Nurul Huda Mahmood +1
In this paper, the average achievable rate and error probability of a reconfigurable intelligent surface (RIS) aided systems is investigated for the finite blocklength (FBL) regime…
Effective Energy Efficiency of Ultra-reliable Low Latency Communication
Mohammad Shehab, Hirley Alves, Eduard A. Jorswieck +2
Effective Capacity defines the maximum communication rate subject to a specific delay constraint, while effective energy efficiency (EEE) indicates the ratio between effective capa…
A Predictive Interference Management Algorithm for URLLC in Beyond 5G Networks
Nurul Huda Mahmood, Onel Alcaraz Lopez, Hirley Alves +1
Interference mitigation is a major design challenge in wireless systems,especially in the context of ultra-reliable low-latency communication (URLLC) services. Conventional average…
Ultra-low Latency, Low Energy and Massiveness in the 6G Era via Efficient CSIT-limited Schemes
Onel L. A. López, Nurul H. Mahmood, Hirley Alves +2
Channel state information (CSI) has been a key component in traditional wireless communication systems. This might no longer hold in future networks supporting services with string…
Factory Automation: Resource Allocation of an Elevated LiDAR System with URLLC Requirements
Nalin Jayaweera, Dileepa Marasinghe, Nandana Rajatheva +1
Ultra-reliable and low-latency communications (URLLC) play a vital role in factory automation. To share the situational awareness data collected from the infrastructure as raw or p…