66 citations · 71 across the 6 of their papers we have counts for
14 papers
Adaptive Design of mmWave Initial Access Codebooks using Reinforcement Learning
Sabrine Aroua, Christos Anastasios Bovolis, Bo Göransson +3
Initial access (IA) is the process by which user equipment (UE) establishes its first connection with a base station. In 5G systems, particularly at millimeter-wave frequencies, IA…
Blind Optimal User Association in Small-Cell Networks
Livia Elena Chatzieleftheriou, Apostolos Destounis, Georgios Paschos +1
We learn optimal user association policies for traffic from different locations to Access Points(APs), in the presence of unknown dynamic traffic demand. We aim at minimizing a bro…
Multi-Agent Deep Stochastic Policy Gradient for Event Based Dynamic Spectrum Access
Rahif Kassab, Apostolos Destounis, Dimitrios Tsilimantos +1
We consider the dynamic spectrum access (DSA) problem where Internet of Things (IoT) devices compete for time slots constituting a frame. Devices collectively monitor e…
Online Convex Optimization for Caching Networks
Georgios Paschos, Apostolos Destounis, George Iosifidis
We study the problem of wireless edge caching when file popularity is unknown and possibly non-stationary. A bank of caches receives file requests and a utility is accrued for…
Learning to Cooperate in D2D Caching Networks
Georgios S. Paschos, Apostolos Destounis, George Iosifidis
We consider a wireless device-to-device (D2D) cooperative network where memory-endowed nodes store and exchange content. Each node generates random file requests following an unkno…
Complexity of URLLC Scheduling and Efficient Approximation Schemes
Apostolos Destounis, Georgios S. Paschos
In this paper we address the problem of joint admission control and resource scheduling for \emph{Ultra Reliable Low Latency Communications} (URLLC). We examine two models: (i) the…
Learning to Cache With No Regrets
Georgios S. Paschos, Apostolos Destounis, Luigi Vigneri +1
This paper introduces a novel caching analysis that, contrary to prior work, makes no modeling assumptions for the file request sequence. We cast the caching problem in the framewo…
Learn2MAC: Online Learning Multiple Access for URLLC Applications
Apostolos Destounis, Dimitrios Tsilimantos, Mérouane Debbah +1
This paper addresses a fundamental limitation of previous random access protocols, their lack of latency performance guarantees. We consider IoT transmitters competing for upli…
Problem-Adapted Artificial Intelligence for Online Network Optimization
Spyridon Vassilaras, Luigi Vigneri, Nikolaos Liakopoulos +4
Future 5G wireless networks will rely on agile and automated network management, where the usage of diverse resources must be jointly optimized with surgical accuracy. A number of…
Adaptive Coded Caching for Fair Delivery over Fading Channels
Apostolos Destounis, Asma Ghorbel, Georgios S. Paschos +1
The performance of existing coded caching schemes is sensitive to the worst channel quality, a problem which is exacerbated when communicating over fading channels. In this paper,…
Selective Fair Scheduling over Fading Channels
Apostolos Destounis, Georgios S. Paschos, David Gesbert
Imposing fairness in resource allocation incurs a loss of system throughput, known as the Price of Fairness (). In wireless scheduling, increases when serving users with…
Alpha Fair Coded Caching
Apostolos Destounis, Mari Kobayashi, Georgios Paschos +1
The performance of existing \emph{coded caching} schemes is sensitive to worst channel quality, a problem which is exacerbated when communicating over fading channels. In this pape…
Asymptotically optimal pilot allocation over Markovian fading channels
Maialen Larranaga, Mohamad Assaad, Apostolos Destounis +1
We investigate a pilot allocation problem in wireless networks over Markovian fading channels. In wireless systems, the Channel State Information (CSI) is collected at the Base Sta…
Streaming Big Data meets Backpressure in Distributed Network Computation
Apostolos Destounis, Georgios S. Paschos, Iordanis Koutsopoulos
We study network response to queries that require computation of remotely located data and seek to characterize the performance limits in terms of maximum sustainable query rate th…