31 citations · 141 across the 20 of their papers we have counts for
21 papers
Online Combinatorial Auctions for Resource Allocation with Supply Costs and Capacity Limits
Xiaoqi Tan, Alberto Leon-Garcia, Yuan Wu +1
We study a general online combinatorial auction problem in algorithmic mechanism design. A provider allocates multiple types of capacity-limited resources to customers that arrive…
Interaction and Conflict Management in AI-assisted Operational Control Loops in 6G
Saeedeh Parsaeefard, Pooyan Habibi, Alberto Leon Garcia
This paper studies autonomous and AI-assisted control loops (ACLs) in the next generation of wireless networks in the lens of multi-agent environments. We will study the diverse in…
Missing Data Estimation in Temporal Multilayer Position-aware Graph Neural Network (TMP-GNN)
Bahareh Najafi, Saeedeh Parsaeefard, Alberto Leon-Garcia
GNNs have been proven to perform highly effective in various node-level, edge-level, and graph-level prediction tasks in several domains. Existing approaches mainly focus on static…
A Deep Reinforcement Learning Approach for Fair Traffic Signal Control
Majid Raeis, Alberto Leon-Garcia
Traffic signal control is one of the most effective methods of traffic management in urban areas. In recent years, traffic control methods based on deep reinforcement learning (DRL…
Toward Efficient Transfer Learning in 6G
Saeedeh Parsaeefard, Alberto Leon-Garcia
6G networks will greatly expand the support for data-oriented, autonomous applications for over the top (OTT) and networking use cases. The success of these use cases will depend o…
Robust Federated Learning by Mixture of Experts
Saeedeh Parsaeefard, Sayed Ehsan Etesami, Alberto Leon Garcia
We present a novel weighted average model based on the mixture of experts (MoE) concept to provide robustness in Federated learning (FL) against the poisoned/corrupted/outdated loc…
Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service
Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia
End-to-end delay is a critical attribute of quality of service (QoS) in application domains such as cloud computing and computer networks. This metric is particularly important in…
Estimation of Missing Data in Intelligent Transportation System
Bahareh Najafi, Saeedeh Parsaeefard, Alberto Leon-Garcia
Missing data is a challenge in many applications, including intelligent transportation systems (ITS). In this paper, we study traffic speed and travel time estimations in ITS, wher…
Reinforcement Learning-based Admission Control in Delay-sensitive Service Systems
Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia
Ensuring quality of service (QoS) guarantees in service systems is a challenging task, particularly when the system is composed of more fine-grained services, such as service funct…
Probabilistic Bounds on the End-to-End Delay of Service Function Chains using Deep MDN
Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia
Ensuring the conformance of a service system's end-to-end delay to service level agreement (SLA) constraints is a challenging task that requires statistical measures beyond the ave…
Mechanism Design for Online Resource Allocation: A Unified Approach
Xiaoqi Tan, Bo Sun, Alberto Leon-Garcia +2
This paper concerns the mechanism design for online resource allocation in a strategic setting. In this setting, a single supplier allocates capacity-limited resources to requests…
On the Robustness of Cooperative Multi-Agent Reinforcement Learning
Jieyu Lin, Kristina Dzeparoska, Sai Qian Zhang +2
In cooperative multi-agent reinforcement learning (c-MARL), agents learn to cooperatively take actions as a team to maximize a total team reward. We analyze the robustness of c-MAR…
Real-Time Prediction of Delay Distribution in Service Systems using Mixture Density Networks
Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia
Motivated by interest in providing more efficient services in customer service systems, we use statistical learning methods and delay history information to predict the conditional…
Representation of Federated Learning via Worst-Case Robust Optimization Theory
Saeedeh Parsaeefard, Iman Tabrizian, Alberto Leon Garcia
Federated learning (FL) is a distributed learning approach where a set of end-user devices participate in the learning process by acting on their isolated local data sets. Here, we…
Artificial Intelligence as a Services (AI-aaS) on Software-Defined Infrastructure
Saeedeh Parsaeefard, Iman Tabrizian, Alberto Leon-Garcia
This paper investigates a paradigm for offering artificial intelligence as a service (AI-aaS) on software-defined infrastructures (SDIs). The increasing complexity of networking an…
Autonomous Mobility and Energy Service Management in Future Smart Cities: An Overview
Xiaoqi Tan, Alberto Leon-Garcia
With the rise of transportation electrification, autonomous driving and shared mobility in urban mobility systems, and increasing penetrations of distributed energy resources and a…
Elascale: Autoscaling and Monitoring as a Service
Hamzeh Khazaei, Rajsimman Ravichandiran, Byungchul Park +3
Auto-scalability has become an evident feature for cloud software systems including but not limited to big data and IoT applications. Cloud application providers now are in full co…
A Load-Balanced Call Admission Controller for IMS Cloud Computing
Ahmadreza Montazerolghaem, Mohammad Hossein Yaghmaee, Alberto Leon-Garcia +2
Network functions virtualization provides opportunities to design, deploy, and manage networking services. It utilizes cloud computing virtualization services that run on high-volu…
OpenSIP: Toward Software-Defined SIP Networking
Ahmadreza Montazerolghaem, Mohammad Hossein Yaghmaee, Alberto Leon-Garcia
VoIP is becoming a low-priced and efficient replacement for PSTN in communication industries. With a widely growing adoption rate, SIP is an application layer signaling protocol, s…
Leveraging Synergy of 5G SDWN and Multi-Layer Resource Management for Network Optimization
Mahsa Derakhshani, Saeedeh Parsaeefard, Tho Le-Ngoc +1
Fifth-generation (5G) cellular wireless networks are envisioned to predispose service-oriented, flexible, and spectrum/energy-efficient edge-to-core infrastructure, aiming to offer…
Virtualization of Multi-Cell 802.11 Networks: Association and Airtime Control
Mahsa Derakhshani, Xiaowei Wang, Tho Le-Ngoc +1
This paper investigates the virtualization and optimization of a multi-cell WLAN. We consider the station (STA)-access point (AP) association and airtime control for virtualized 80…