The Internet of Senses: Building on Semantic Communications and Edge Intelligence

no code implementations • 21 Dec 2022 • Roghayeh Joda, Medhat Elsayed, Hatem Abou-zeid, Ramy Atawia, Akram Bin Sediq, Gary Boudreau, Melike Erol-Kantarci, Lajos Hanzo

On the other hand, AI/ML facilitates frugal network resource management by making use of the enormous amount of data generated in IoS edge nodes and devices, as well as by optimizing the IoS performance via intelligent agents.

Management

Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning

no code implementations • 10 May 2021 • Mohammad Akbari, Mohammad Reza Abedi, Roghayeh Joda, Mohsen Pourghasemian, Nader Mokari, Melike Erol-Kantarci

In this paper, we first utilize single agent low-complex compound action actor-critic RL to cover both discrete and continuous actions and jointly minimize VNF cost and AoI in terms of network resources under end-to end Quality of Service constraints.

reinforcement-learning Reinforcement Learning (RL) +1

DRL-Based QoS-Aware Resource Allocation Scheme for Coexistence of Licensed and Unlicensed Users in LTE and Beyond

no code implementations • 16 Aug 2020 • Mahdi Nouri Boroujerdi, Mohammad Akbari, Roghayeh Joda, Mohammad Ali Maddah-Ali, Babak Hossein Khalaj

In this paper, we employ deep reinforcement learning to develop a novel radio resource allocation and packet scheduling scheme for different Quality of Service (QoS) requirements applicable to LTEadvanced and 5G networks.

reinforcement-learning Reinforcement Learning (RL) +1