143 citations · 290 across the 47 of their papers we have counts for
9 papers · 1 filter
Energy-aware Scheduling of Virtualized Base Stations in O-RAN with Online Learning
Michail Kalntis, George Iosifidis
The design of Open Radio Access Network (O-RAN) compliant systems for configuring the virtualized Base Stations (vBSs) is of paramount importance for network operators. This task i…
Enabling Long-term Fairness in Dynamic Resource Allocation
T. Si-Salem, G. Iosifidis, G. Neglia
We study the fairness of dynamic resource allocation problem under the -fairness criterion. We recognize two different fairness objectives that naturally arise in this problem:…
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…
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…
Penalised FTRL With Time-Varying Constraints
Douglas J. Leith, George Iosifidis
In this paper we extend the classical Follow-The-Regularized-Leader (FTRL) algorithm to encompass time-varying constraints, through adaptive penalization. We establish sufficient c…
Online Caching with no Regret: Optimistic Learning via Recommendations
Naram Mhaisen, George Iosifidis, Douglas Leith
The design of effective online caching policies is an increasingly important problem for content distribution networks, online social networks and edge computing services, among ot…
Online Caching with Optimistic Learning
Naram Mhaisen, George Iosifidis, Douglas Leith
The design of effective online caching policies is an increasingly important problem for content distribution networks, online social networks and edge computing services, among ot…
Lazy Lagrangians with Predictions for Online Learning
Daron Anderson, George Iosifidis, Douglas J. Leith
We consider the general problem of online convex optimization with time-varying additive constraints in the presence of predictions for the next cost and constraint functions. A no…
Selective Edge Computing for Mobile Analytics
Apostolos Galanopoulos, George Iosifidis, Theodoros Salonidis +1
An increasing number of mobile applications rely on Machine Learning (ML) routines for analyzing data. Executing such tasks at the user devices saves the energy spent on transmitti…