AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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SINR Distribution-Based LSFC and Nakagami-m Estimation in Power-Weighted RZF CF-mMIMO
Cell-free massive multiple-input multiple-output is a promising distributed architecture for future wireless networks, where accurate signal-to-interference-plus-noise ratio modeling is essential for channel-parameter inference. This letter proposes a distribution-driven estimator for downlink power-weighted regularize...
Hierarchical-Clustering-Based Inter-Cell Interference-Aware Resource Allocation for Configured-Grant in 6G mURLLC
The next generation of wireless systems extends ultra-reliable low-latency communications (URLLC) to the realm of massive connections, termed mURLLC. To address the inherent conflict between stringent quality of service (QoS) requirements in URLLC and the problem of severe and highly fluctuating interference behind dem...