Reinforcement learning based resource management for 6G-enabled mIoT with hypergraph interference model

J Huang, C Yang, S Zhang, F Yang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
For the future 6G-enabled massive Internet of Things (mIoT), how to effectively manage
spectrum resources to support huge data traffic under the large-scale overlap** caused by …

Coverage optimization for large-scale mobile networks with digital twin and multi-agent reinforcement learning

H Liu, T Li, F Jiang, W Su… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the exponential growth of mobile users, ensuring high-quality network coverage has
become paramount. Large-scale mobile networks consist of numerous base stations (BSs) …

[HTML][HTML] Coverage Analysis for High-Speed Railway Communications with Narrow-Strip-Shaped Cells over Suzuki Fading Channels

S Lin, H Wang, W Li, J Wang - Entropy, 2024 - mdpi.com
Unlike circular cell coverage in public land mobile communications, narrow-strip-shaped cell
coverage should be considered in high-speed railway (HSR) communications. Moreover, for …

Wireless Network Coverage Planning

I Alimi - … Fixed Wireless Access: Revolutionizing Connectivity in …, 2025 - Springer
Planning wireless network coverage is essential for assessing network performance and
strategizing future deployments. Traditionally, this process has been complex, demanding …

[PDF][PDF] Novel cell-swee** deployment scheme for coverage enhancement in cellular networks

RAG Borralho - 2023 - openresearch.surrey.ac.uk
In this thesis, a novel concept of cell-swee** based Base Station (BS) deployment in the
Radio Access Network (RAN) for coverage enhancement in cellular systems was …

A Probabilistic Alternative to Coverage Analysis in Uniform Random Wireless Networks

J Farooq, U Pillai - Authorea Preprints - techrxiv.org
The analysis of coverage probability based on signalto-interference-plus-noise-ratio (SINR)
is a classical problem in the study of wireless and cellular networks. Stochastic geometry …