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Published in 2017 IEEE Symposium on Computers and Communications (ISCC), 2017
In this work, we propose a greedy SINR-based scheduling algorithm for full-duplex wireless networks. Read more
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Published in European Wireless 2018, 2018
The impact of imperfect channel state information on scheduling in full-duplex networks is discussed in this paper. Read more
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Published in IFIP Wireless Days, 2018
Optimization based approaches to resource block allocation in full-duplex wireless networks are presented in this work. Read more
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Published in 2018 25th International Conference on Telecommunications (ICT), 2018
In this work, we address the power allocation problem in full-duplex cellular networks. Read more
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Published in International Conference on Computer and Applications (ICCA), 2018
The basis of the Matlab based simulator which we built and used during my thesis work is introduced in this work. Read more
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Published in 2019 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2019
In this work, non-cooperative game theory is used to propose a power allocation algorithm in full-duplex wireless networks. Read more
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Published in , 2019
My thesis work, presented here, focused on proposing resource allocation algorithms for full-duplex wireless networks. Read more
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Published in IEEE Access, 2019
A general game-theory based framework is proposed for the power allocation problem in full-duplex wireless networks. Read more
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Published in Springer Wireless Networks, 2020
In this journal publication, we go over our different proposals for scheduling in full-duplex wireless networks. Read more
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Published in IEEE Internet of Things Journal, 2020
In this journal, we present multiple proposals for spreading factor assignment in a multi-operator LoRa deployment. Read more
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Published in Elsevier Computer Networks, 2021
In this work, we proposed a reinforcement learning algorithm to allocate radio resources in full-duplex wireless networks. Read more
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Published in NetSys 2021, MaLeNe Workshop, 2021
In this paper, we propose a deep Q-learning algorithm to manage queues in networks. Read more
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Published in Elsevier Computer Networks, 2022
This journal proposes a game theory based solution for channel selection in LoRa deployments. Read more
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Published in IEEE Transactions on Network and Service Management (IEEE TNSM), 2023
This paper explores the use of multi-agent deep learning, as well as learning to cooperate principles, to meet strict service level agreements. Read more
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Published in IFIP Networking Conference (IFIP Networking), 2023
In this work, we utilize multi-agent deep reinforcement learning to jointly tackle load balancing and queue management in networks. Read more
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Published in IEEE Journal on Selected Areas in Communications (JSAC), 2023
In this work, we propose scheduling and power allocation algorithms for full-duplex multi-cellular networks. Read more
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Published in IEEE Network Operations and Management Symposium (NOMS 2024), 2024
In this work, we utilize non-cooperative game theory to model the edge server selection problem. Read more
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Published in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) , 2024
In this paper, we propose a Non-Cooperative game where devices autonomously and efficiently select an Edge server in order to reduce both their learning error and communication cost. Read more
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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