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09/15/2023
Probabilistic Constellation Shaping With Denoising Diffusion Probabilistic Models: A Novel Approach
With the incredible results achieved from generative pre-trained transfo...
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09/15/2023
Denoising Diffusion Probabilistic Models for Hardware-Impaired Communications
Generative AI has received significant attention among a spectrum of div...
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12/04/2022
Graph Representation Learning for Wireless Communications
Wireless networks are inherently graph-structured, which can be utilized...
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08/10/2022
Deep Reinforcement Learning for Orchestrating Cost-Aware Reconfigurations of vRANs
Virtualized Radio Access Networks (vRANs) are fully configurable and can...
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05/16/2022
Learning-Based Orchestration for Dynamic Functional Split and Resource Allocation in vRANs
One of the key benefits of virtualized radio access networks (vRANs) is ...
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04/28/2022
Joint Sum Rate and Blocklength Optimization in RIS-aided Short Packet URLLC Systems
In this paper, a multi-objective optimization problem (MOOP) is proposed...
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03/11/2022
Deep Learning-Based Blind Multiple User Detection for Grant-free SCMA and MUSA Systems
Grant-free random access and uplink non-orthogonal multiple access (NOMA...
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10/16/2021
Deep Reinforcement Learning for Practical Phase Shift Optimization in RIS-aided MISO URLLC Systems
Reconfigurable intelligent surfaces (RISs) can assist the wireless syste...
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06/21/2021
Deep Neural Network-Based Blind Multiple User Detection for Grant-free Multi-User Shared Access
Multi-user shared access (MUSA) is introduced as advanced code domain no...
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06/21/2021
Deep Learning-Based Active User Detection for Grant-free SCMA Systems
Grant-free random access and uplink non-orthogonal multiple access (NOMA...
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05/31/2021
Constrained Deep Reinforcement Based Functional Split Optimization in Virtualized RANs
Virtualized Radio Access Network (vRAN) brings agility to Next-Generatio...
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05/31/2021
Deep Reinforcement Based Optimization of Function Splitting in Virtualized Radio Access Networks
Virtualized Radio Access Network (vRAN) is one of the key enablers of fu...
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03/22/2021
Average Rate Analysis of RIS-aided Short Packet Communication in URLLC Systems
In this paper, the average achievable rate of a re-configurable intellig...
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02/26/2021
Average Rate and Error Probability Analysis in Short Packet Communications over RIS-aided URLLC Systems
In this paper, the average achievable rate and error probability of a re...
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01/12/2021
Event-Driven Source Traffic Prediction in Machine-Type Communications Using LSTM Networks
Source traffic prediction is one of the main challenges of enabling pred...
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05/23/2019
Contextual Bandit Learning for Machine Type Communications in the Null Space of Multi-Antenna Systems
In this paper, a novel approach based on the concept of opportunistic sp...
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12/13/2018
Cyber-Physical Security and Safety of Autonomous Connected Vehicles: Optimal Control Meets Multi-Armed Bandit Learning
Autonomous connected vehicles (ACVs) rely on intra-vehicle sensors such ...
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10/30/2018
Sleeping Multi-Armed Bandit Learning for Fast Uplink Grant Allocation in Machine Type Communications
Scheduling fast uplink grant transmissions for machine type communicatio...
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08/27/2018
A Directed Information Learning Framework for Event-Driven M2M Traffic Prediction
Burst of transmissions stemming from event-driven traffic in machine typ...
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01/15/2018
