Clustered cell-free networking: A graph partitioning approach

J Wang, L Dai, L Yang, B Bai - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
By moving to millimeter wave (mmWave) frequencies, base stations (BSs) will be densely
deployed to provide seamless coverage in sixth generation (6G) mobile communication …

Collaborative multiagent reinforcement learning aided resource allocation for UAV anti-jamming communication

Z Yin, Y Lin, Y Zhang, Y Qian, F Shu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
In this article, we investigate the anti-jamming problem with joint channel and power
allocation for unmanned aerial vehicle (UAV) networks. In particular, we focus on avoiding …

Human-in-the-loop wireless communications: Machine learning and brain-aware resource management

ATZ Kasgari, W Saad, M Debbah - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Human-centric applications such as virtual reality and immersive gaming are central to
future wireless networks. Common features of such services include: 1) their dependence on …

Dynamic base station clustering in user-centric mmWave networks: Performance analysis and optimization

K Humadi, I Trigui, WP Zhu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In millimeter wave (mmWave) networks, base stations (BSs) are expected to be densely
deployed in order to meet the demands of mobile users. A major challenge in dense …

User-centric clustering for designing ultradense networks: Architecture, objective functions, and design guidelines

Y Lin, R Zhang, L Yang, C Li… - IEEE Vehicular …, 2019 - ieeexplore.ieee.org
User-centric (UC) clustering, an innovative design principle for ultradense networks (UDNs),
supports dynamically fluctuating adaptive network topologies. In this article, we introduce the …