Multi-agent reinforcement learning for adaptive user association in dynamic mmWave networks
Network densification and millimeter-wave technologies are key enablers to fulfill the
capacity and data rate requirements of the fifth generation (5G) of mobile networks. In this …
capacity and data rate requirements of the fifth generation (5G) of mobile networks. In this …
Evolution of RAN Architectures Towards 6G: Motivation, Development, and Enabling Technologies
J Chen, X Liang, J Xue, Y Sun, H Zhou… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
In this survey paper, we first provide insights on the evolution of radio access networks
(RANs) through investigating the existing paradigms and future trends towards 6G. We then …
(RANs) through investigating the existing paradigms and future trends towards 6G. We then …
[HTML][HTML] Deep Reinforcement Learning for QoS provisioning at the MAC layer: A Survey
Abstract Quality of Service (QoS) provisioning is based on various network management
techniques including resource management and medium access control (MAC). Various …
techniques including resource management and medium access control (MAC). Various …
Reinforcement learning meets wireless networks: A layering perspective
Driven by the soaring traffic demand and the growing diversity of mobile services, wireless
networks are evolving to be increasingly dense and heterogeneous. Accordingly, in such …
networks are evolving to be increasingly dense and heterogeneous. Accordingly, in such …
Reinforcement learning for user association and handover in mmwave-enabled networks
A Alizadeh, M Vu - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Using a multi-armed bandit technique, we propose centralized and semi-distributed online
algorithms for load balancing user association and handover in mmWave-enabled networks …
algorithms for load balancing user association and handover in mmWave-enabled networks …
Multi-agent deep reinforcement learning for distributed handover management in dense mmWave networks
The dense deployment of millimeter wave small cells combined with directional
beamforming is a promising solution to enhance the network capacity of the current …
beamforming is a promising solution to enhance the network capacity of the current …
An online algorithm for computation offloading in non-stationary environments
We consider the latency minimization problem in a task-offloading scenario, where multiple
servers are available to the user equipment for outsourcing computational tasks. To account …
servers are available to the user equipment for outsourcing computational tasks. To account …
Multi-armed bandit load balancing user association in 5G cellular HetNets
A Alizadeh, M Vu - GLOBECOM 2020-2020 IEEE Global …, 2020 - ieeexplore.ieee.org
Using a reinforcement learning multi-armed bandit (MAB) technique, we design a
centralized and a semi-distributed online algorithms, for performing load balancing user …
centralized and a semi-distributed online algorithms, for performing load balancing user …
Low complexity closed‐loop strategy for mmWave communication in industrial intelligent systems
Modern communication and computing technology is the basic support of the industrial
intelligent systems (IIS). As a key component of IIS, the smart port is essential to be offered …
intelligent systems (IIS). As a key component of IIS, the smart port is essential to be offered …
Transferable and Distributed User Association Policies for 5G and Beyond Networks
We study the problem of user association, namely finding the optimal assignment of user
equipment to base stations to achieve a targeted network performance. In this paper, we …
equipment to base stations to achieve a targeted network performance. In this paper, we …