Reinforcement learning based radio resource scheduling in LTE-advanced. - Ioan Sorin Comsa; Mehmet Aydin 001; Sijing Zhang; Pierre Kuonen; Jean-Frédéric Wagen (ICAC, 2011)

A novel dynamic Q-learning-based scheduler technique for LTE-advanced technologies using neural networks. - Ioan Sorin Comsa; Sijing Zhang; Mehmet Aydin 001; Pierre Kuonen; Jean-Frédéric Wagen (LCN, 2012)

Multi Objective Resource Scheduling in LTE Networks Using Reinforcement Learning. - Ioan Sorin Comsa; Mehmet Aydin 001; Sijing Zhang; Pierre Kuonen; Jean-Frédéric Wagen (Int. J. Distributed Syst. Technol., 2012)

Backup Path with Energy Prediction Based on Energy-Aware Spanning Tree in Wireless Sensor Networks. - Yao Lu 004; Jianping Chen; Ioan Sorin Comsa; Pierre Kuonen (CyberC, 2013)

Adaptive proportional fair parameterization based LTE scheduling using continuous actor-critic reinforcement learning. - Ioan Sorin Comsa; Sijing Zhang; Mehmet Aydin 001; Jianping Chen; Pierre Kuonen; Jean-Frédéric Wagen (GLOBECOM, 2014)

A scalability hierarchical fault tolerance strategy: Community Fault Tolerance. - Jianping Chen; Yao Lu 004; Ioan Sorin Comsa; Pierre Kuonen (ICAC, 2014)

Construction of Data Aggregation Tree for Multi-objectives in Wireless Sensor Networks through Jump Particle Swarm Optimization. - Yao Lu 004; Jianping Chen; Ioan Sorin Comsa; Pierre Kuonen; Béat Hirsbrunner (KES, 2014)

Scheduling policies based on dynamic throughput and fairness tradeoff control in LTE-A networks. - Ioan Sorin Comsa; Mehmet Aydin 001; Sijing Zhang; Pierre Kuonen; Jean-Frédéric Wagen; Yao Lu 004 (LCN, 2014)

Dynamic data aggregation protocol based on multiple objective tree in Wireless Sensor Networks. - Yao Lu 004; Ioan Sorin Comsa; Pierre Kuonen; Béat Hirsbrunner (ISSNIP, 2015)

Probabilistic Data Aggregation Protocol Based on ACO-GA Hybrid Approach in Wireless Sensor Networks. - Yao Lu 004; Ioan Sorin Comsa; Pierre Kuonen; Béat Hirsbrunner (WMNC, 2015)

Evaluating QoS Parameters for IPTV Distribution in Heterogeneous Networks. - Ioan Sorin Comsa; Radu Arsinte (CoRR, 2015)

Adaptive data aggregation with probabilistic routing in wireless sensor networks. - Yao Lu 004; Ioan Sorin Comsa; Pierre Kuonen; Béat Hirsbrunner (Wirel. Networks, 2016)

QoS-Driven Scheduling in 5G Radio Access Networks - A Reinforcement Learning Approach. - Ioan-Sorin Comsa; Antonio De Domenico; Dimitri Ktenas (GLOBECOM, 2017)

360° Mulsemedia Experience over Next Generation Wireless Networks - A Reinforcement Learning Approach. - Ioan-Sorin Comsa; Ramona Trestian; Gheorghita Ghinea (QoMEX, 2018)

Seamless Multimedia Delivery Within a Heterogeneous Wireless Networks Environment: Are We There Yet? - Ramona Trestian; Ioan-Sorin Comsa; Mehmet Fatih Tüysüz (IEEE Commun. Surv. Tutorials, 2018)

Self-Learning-Based Data Aggregation Scheduling Policy in Wireless Sensor Networks. - Yao Lu 004; Taihua Zhang; Erbao He; Ioan Sorin Comsa (J. Sensors, 2018)

Towards 5G: A Reinforcement Learning-Based Scheduling Solution for Data Traffic Management. - Ioan-Sorin Comsa; Sijing Zhang; Mehmet Emin Aydin; Pierre Kuonen; Yao Lu 004; Ramona Trestian; Gheorghita Ghinea (IEEE Trans. Netw. Serv. Manag., 2018)

360° Mulsemedia: A Way to Improve Subjective QoE in 360° Videos. - Alexandra Covaci; Ramona Trestian; Estêvão Bissoli Saleme; Ioan-Sorin Comsa; Gebremariam Assres; Celso A. S. Santos; Gheorghita Ghinea (ACM Multimedia, 2019)

Enhancing User Fairness in OFDMA Radio Access Networks Through Machine Learning. - Ioan-Sorin Comsa; Sijing Zhang; Mehmet Aydin 001; Pierre Kuonen; Ramona Trestian; Gheorghita Ghinea (Wireless Days, 2019)

A Comparison of Reinforcement Learning Algorithms in Fairness-Oriented OFDMA Schedulers. - Ioan-Sorin Comsa; Sijing Zhang; Mehmet Aydin 001; Pierre Kuonen; Ramona Trestian; Gheorghita Ghinea (Inf., 2019)

Performance Evaluation of Routing Strategies over Multimedia-based SDNs under Realistic Environments. - Ahmed Al-Jawad; Purav Shah; Orhan Gemikonakli; Ioan-Sorin Comsa; Ramona Trestian (NetSoft, 2020)

Do I Smell Coffee? The Tale of a 360° Mulsemedia Experience. - Ioan-Sorin Comsa; Estêvão Bissoli Saleme; Alexandra Covaci; Gebremariam Mesfin Assres; Ramona Trestian; Celso A. S. Santos; Gheorghita Ghinea (IEEE Multim., 2020)

5MART: A 5G SMART Scheduling Framework for Optimizing QoS Through Reinforcement Learning. - Ioan-Sorin Comsa; Ramona Trestian; Gabriel-Miro Muntean; Gheorghita Ghinea (IEEE Trans. Netw. Serv. Manag., 2020)

REDO: A Reinforcement Learning-based Dynamic Routing Algorithm Selection Method for SDN. - Ahmed Al-Jawad; Ioan-Sorin Comsa; Purav Shah; Orhan Gemikonakli; Ramona Trestian (NFV-SDN, 2021)

The influence of human factors on 360∘ mulsemedia QoE. - Estêvão B. Saleme; Alexandra Covaci; Gebremariam Assres; Ioan-Sorin Comsa; Ramona Trestian; Celso A. S. Santos; Gheorghita Ghinea (Int. J. Hum. Comput. Stud., 2021)

An Innovative Reinforcement Learning-Based Framework for Quality of Service Provisioning Over Multimedia-Based SDN Environments. - Ahmed Al-Jawad; Ioan-Sorin Comsa; Purav Shah; Orhan Gemikonakli; Ramona Trestian (IEEE Trans. Broadcast., 2021)

An Innovative Machine-Learning-Based Scheduling Solution for Improving Live UHD Video Streaming Quality in Highly Dynamic Network Environments. - Ioan-Sorin Comsa; Gabriel-Miro Muntean; Ramona Trestian (IEEE Trans. Broadcast., 2021)

A Machine Learning Resource Allocation Solution to Improve Video Quality in Remote Education. - Ioan-Sorin Comsa; Andreea Molnar; Irina Tal; Per Bergamin; Gabriel-Miro Muntean; Cristina Hava Muntean; Ramona Trestian (IEEE Trans. Broadcast., 2021)

LearnSDN: Optimizing Routing Over Multimedia-based 5G-SDN using Machine Learning. - Ahmed Al-Jawad; Ioan-Sorin Comsa; Purav Shah; Ramona Trestian (COMM, 2022)

Work-in-Progress-Motion Tracking Data as a Proxy for Cognitive Load in Immersive Learning. - Ivan Moser; Ioan-Sorin Comsa; Behnam Parsaeifard; Per Bergamin (iLRN, 2022)

Multisensory 360° Videos Under Varying Resolution Levels Enhance Presence. - Alexandra Covaci; Estêvão B. Saleme; Gebremariam Mesfin; Ioan-Sorin Comsa; Ramona Trestian; Celso A. S. Santos; George Ghinea (IEEE Trans. Vis. Comput. Graph., 2023)

Improved Quality of Online Education Using Prioritized Multi-Agent Reinforcement Learning for Video Traffic Scheduling. - Ioan-Sorin Comsa; Andreea Molnar; Irina Tal; Christof Imhof; Per Bergamin; Gabriel-Miro Muntean; Cristina Hava Muntean; Ramona Trestian (IEEE Trans. Broadcast., 2023)

Prediction of Dilatory Behavior in eLearning: A Comparison of Multiple Machine Learning Models. - Christof Imhof; Ioan-Sorin Comsa; Martin Hlosta; Behnam Parsaeifard; Ivan Moser; Per Bergamin (IEEE Trans. Learn. Technol., 2023)

Detection of Disengagement from Voluntary Quizzes: An Explainable Machine Learning Approach in Higher Distance Education. - Behnam Parsaeifard; Christof Imhof; Tansu Pancar; Ioan-Sorin Comsa; Martin Hlosta; Nicole Bergamin; Per Bergamin (CoRR, 2025)