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Andrea Ortiz
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2020 – today
- 2024
- [j5]Bernd Simon
, Andrea Ortiz
Decentralized Online Learning in Task Assignment Games for Mobile Crowdsensing. IEEE Trans. Commun. 72(8): 4945-4960 (2024) - [c26]Maximilian Wirth, Andrea Ortiz, Anja Klein:
Risk-Aware Bandits for Digital Twin Placement in Non-Stationary Mobile Edge Computing. ICC Workshops 2024: 13-18 - [c25]Friedrich Pyttel, Wanja de Sombre, Andrea Ortiz, Anja Klein:
Age of Information Minimization in Status Update Systems with Imperfect Feedback Channel. ICC 2024: 201-206 - [c24]Sumedh Dongare, Bernd Simon, Andrea Ortiz, Anja Klein:
Two-Sided Learning: A Techno-Economic View of Mobile Crowdsensing Under Incomplete Information. ICC 2024: 4323-4328 - [c23]Sumedh Dongare, Aleksandar Jovovic, Wanja de Sombre, Andrea Ortiz, Anja Klein:
Minimizing the Age of Incorrect Information for Status Update Systems with Energy Harvesting. ICC 2024: 5323-5328 - [i6]Wanja de Sombre, Andrea Ortiz, Frank Aurzada, Anja Klein:
The Best Time for an Update: Risk-Sensitive Minimization of Age-Based Metrics. CoRR abs/2401.10265 (2024) - 2023
- [c22]Wanja de Sombre, Felipe Marques, Friedrich Pyttel, Andrea Ortiz, Anja Klein:
A Unified Approach to Learn Transmission Strategies Using Age-Based Metrics in Point-to-Point Wireless Communication. GLOBECOM 2023: 3573-3578 - [c21]Sumedh Dongare, Andrea Ortiz, Anja Klein:
Federated Deep Reinforcement Learning for Task Participation in Mobile Crowdsensing. GLOBECOM 2023: 4436-4441 - [c20]Maximilian Wirth, Andrea Ortiz, Anja Klein:
Contextual Multi-Armed Bandits for Non-Stationary Heterogeneous Mobile Edge Computing. GLOBECOM 2023: 5599-5604 - [c19]Wanja de Sombre, Andrea Ortiz, Frank Aurzada, Anja Klein:
Risk-Sensitive Optimization and Learning for Minimizing Age of Information in Point-to-Point Wireless Communications. ICC Workshops 2023: 1161-1166 - [c18]Amir Ashtari Gargari, Andrea Ortiz, Matteo Pagin
Safehaul: Risk-Averse Learning for Reliable mmWave Self-Backhauling in 6G Networks. INFOCOM 2023: 1-10 - [c17]Amir Ashtari Gargari, Matteo Pagin
Demo:[SeBaSi] system-level Integrated Access and Backhaul simulator for self-backhauling. WoWMoM 2023: 355-357 - [i5]Amir Ashtari Gargari, Andrea Ortiz, Matteo Pagin
Safehaul: Risk-Averse Learning for Reliable mmWave Self-Backhauling in 6G Networks. CoRR abs/2301.03201 (2023) - [i4]Amir Ashtari Gargari, Matteo Pagin
SeBaSi system-level Integrated Access and Backhaul simulator for self-backhauling. CoRR abs/2309.05790 (2023) - [i3]Bernd Simon, Andrea Ortiz, Walid Saad, Anja Klein:
Decentralized Online Learning in Task Assignment Games for Mobile Crowdsensing. CoRR abs/2309.10594 (2023) - 2022
- [c16]Sumedh Dongare
Deep Reinforcement Learning for Task Allocation in Energy Harvesting Mobile Crowdsensing. GLOBECOM 2022: 269-274 - [c15]Bernd Simon, Sumedh Dongare
Delay- and Incentive-Aware Crowdsensing: A Stable Matching Approach for Coverage Maximization. ICC 2022: 2984-2989 - [c14]Maximilian Wirth, Anja Klein, Andrea Ortiz:
Risk-Aware Multi-Armed Bandits for Vehicular Communications. VTC Spring 2022: 1-7 - 2021
- [j4]Andrea Ortiz
Multi-Agent Reinforcement Learning for Energy Harvesting Two-Hop Communications With a Partially Observable System State. IEEE Trans. Green Commun. Netw. 5(1): 442-456 (2021) - [c13]Kilian Kiekenap, Andrea Ortiz, Anja Klein:
Energy-Optimal Short Packet Transmission for Time-Critical Control. VTC Fall 2021: 1-6 - [i2]Andrea Ortiz, Daniel Barragan-Yani:
Statistical Physics Meets Wireless Communications: A Resource Allocation Solution for Large Networks. CoRR abs/2110.10549 (2021) - 2020
- [c12]Burak Yilmaz, Andrea Ortiz
Delay Minimization for Edge Computing with Dynamic Server Computing Capacity: A Learning Approach. GLOBECOM 2020: 1-6
2010 – 2019
- 2019
- [j3]Andrea Ortiz
CBMoS: Combinatorial Bandit Learning for Mode Selection and Resource Allocation in D2D Systems. IEEE J. Sel. Areas Commun. 37(10): 2225-2238 (2019) - [j2]Andrea Ortiz
SCAROS: A Scalable and Robust Self-Backhauling Solution for Highly Dynamic Millimeter-Wave Networks. IEEE J. Sel. Areas Commun. 37(12): 2685-2698 (2019) - [c11]Andrea Ortiz
Resource Allocation in Energy Harvesting Multiple Access Scenarios via Combinatorial Learning. SPAWC 2019: 1-5 - [c10]Fabian Hohmann, Andrea Ortiz
Optimal Resource Allocation Policy for Multi-Rate Opportunistic Forwarding. WCNC 2019: 1-6 - 2018
- [c9]Andrea Ortiz, Cristian Vitery, Carolina González, Hendrys Tobar:
Developing an Augmented Reality Multiplayer Learning Game: Lessons Learned. Edutainment 2018: 26-29 - [c8]Andrea Ortiz
A Two-Layer Reinforcement Learning Solution for Energy Harvesting Data Dissemination Scenarios. ICASSP 2018: 6648-6652 - [c7]Juan J. Gil, Maria Carmen Sanchez-Villamañan, Jesús Gómez, Andrea Ortiz, José Luis Pons, Juan C. Moreno
Design and Implementation of a Novel Semi-Active Hybrid Unilateral Stance Control Knee Ankle Foot Orthosis. IROS 2018: 5163-5168 - [c6]Andrea Ortiz, Cristian Vitery, Carolina González, Hendrys Tobar-Muñoz:
Evaluation of an Augmented Reality Multiplayer Learning Game. JCSG 2018: 91-100 - 2017
- [j1]Andrea Ortiz
Reinforcement Learning for Energy Harvesting Decode-and-Forward Two-Hop Communications. IEEE Trans. Green Commun. Netw. 1(3): 309-319 (2017) - [c5]Christian Meurisch, The An Binh Nguyen, Martin Kromm, Andrea Ortiz
DisVis 2.0: Decision Support for Rescue Missions Using Predictive Disaster Simulations with Human-Centric Models. ICCCN 2017: 1-2 - [i1]Andrea Ortiz, Hussein Al-Shatri, Tobias Weber, Anja Klein:
Multi-Agent Reinforcement Learning for Energy Harvesting Two-Hop Communications with Full Cooperation. CoRR abs/1702.06185 (2017) - 2016
- [c4]Andrea Ortiz
A Learning Based Solution for Energy Harvesting Decode-and-Forward Two-Hop Communications. GLOBECOM 2016: 1-7 - [c3]Andrea Ortiz
Reinforcement learning for energy harvesting point-to-point communications. ICC 2016: 1-6 - 2015
- [c2]Andrea Ortiz
Throughput maximization in two-hop energy harvesting communications. ISWCS 2015: 291-295 - [c1]Andrea Ortiz
A resource requirement aware transmit strategy for non-regenerative multi-way relaying. WCNC 2015: 19-24
Coauthor Index
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