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09/04/2023
Adaptive Resource Allocation for Virtualized Base Stations in O-RAN with Online Learning
Open Radio Access Network systems, with their virtualized base stations ...
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02/20/2023
Solving Recurrent MIPs with Semi-supervised Graph Neural Networks
We propose an ML-based model that automates and expedites the solution o...
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02/01/2023
Bandit Convex Optimisation Revisited: FTRL Achieves Õ(t^1/2) Regret
We show that a kernel estimator using multiple function evaluations can ...
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01/29/2023
Quid pro Quo in Streaming Services: Algorithms for Cooperative Recommendations
Recommendations are employed by Content Providers (CPs) of streaming ser...
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08/21/2022
Energy-aware Scheduling of Virtualized Base Stations in O-RAN with Online Learning
The design of Open Radio Access Network (O-RAN) compliant systems for co...
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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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04/20/2022
Online Caching with no Regret: Optimistic Learning via Recommendations
The design of effective online caching policies is an increasingly impor...
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04/05/2022
Penalised FTRL With Time-Varying Constraints
In this paper we extend the classical Follow-The-Regularized-Leader (FTR...
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02/22/2022
Online Caching with Optimistic Learning
The design of effective online caching policies is an increasingly impor...
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01/08/2022
Lazy Lagrangians with Predictions for Online Learning
We consider the general problem of online convex optimization with time-...
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01/08/2022
Selective Edge Computing for Mobile Analytics
An increasing number of mobile applications rely on Machine Learning (ML...
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09/29/2021
Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning
Millions of sensors, cameras, meters, and other edge devices are deploye...
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11/05/2020
Birkhoff's Decomposition Revisited: Sparse Scheduling for High-Speed Circuit Switches
Data centers are increasingly using high-speed circuit switches to cope ...
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10/10/2020
Reinforcement Learning on Computational Resource Allocation of Cloud-based Wireless Networks
Wireless networks used for Internet of Things (IoT) are expected to larg...
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02/25/2020
On the Optimization of Multi-Cloud Virtualized Radio Access Networks
We study the important and challenging problem of virtualized radio acce...
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01/16/2020
Online Convex Optimization for Caching Networks
We study the problem of wireless edge caching when file popularity is un...
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12/27/2019
Cache Optimization Models and Algorithms
Storage resources and caching techniques permeate almost every area of c...
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05/04/2019
Learning to Cooperate in D2D Caching Networks
We consider a wireless device-to-device (D2D) cooperative network where ...
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04/22/2019
Learning to Cache With No Regrets
This paper introduces a novel caching analysis that, contrary to prior w...
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04/22/2019
Maximum Lifetime Analytics in IoT Networks
This paper studies the problem of allocating bandwidth and computation r...
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03/26/2019
Pricing for Collaboration Between Online Apps and Offline Venues
An increasing number of mobile applications (abbrev. apps), like Pokemon...
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05/29/2018
The Role of Caching in Future Communication Systems and Networks
This paper has the following ambitious goal: to convince the reader that...
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01/09/2018
SDN-enabled Tactical Ad Hoc Networks: Extending Programmable Control to the Edge
Modern tactical operations have complex communication and computing requ...
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07/25/2017