AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
This work introduces a modular power model that captures the interplay between radios, fronthaul, and cloud processing and highlights how design choices, such as functional splits and precoding strategies, shape both fronthaul data load and total power consumption.
A network energy-efficiency (EE) maximization framework for the uplink of acell-free massive MIMO with wireless fronthaul, jointly optimizing the integrated access and fronthaul (IAF) resource split, the adaptive per-AP quantization resolution, and the fronthaul powers, and treating the time-division and frequency-divi...
The PHY layer is therefore not dead; its most consequential advances will come from deployable spatial processing and CSI acquisition, complemented by targeted link-level and AI/ML-based refinements.
A measurement-driven system-level evaluation of downlink CF-mMIMO orthogonal frequency-division multiplexing (OFDM) using urban channel measurements indicates the potential of CF-mMIMO under realistic propagation and hardware constraints for 6G wireless deployments under real-world propagation and hardware conditions.
This letter investigates a multi-cell reconfigurable intelligent surface (RIS)-assisted cloud radio access network (Cloud-RAN), where multiple remote radio heads (RRHs) are connected to a central unit (CU) via limited-capacity fronthaul links, and multiple user equipments (UEs) in each cell are supported by dedicated R...
In this work, we investigate an energy-efficient design in Cloud Radio Access Network (C-RAN) system with integrated sensing and communication (ISAC), where geographically distributed remote radio heads (RRHs) are coordinated by a central controller to simultaneously support communication users and sensing targets. Alt...
A unified analytical framework is developed to characterize the aggregate impact of hardware distortions across the access and fronthaul links and a max-min fair resource allocation framework is developed to jointly optimize the uplink transmit powers, fronthaul transmit powers, and fronthaul time expansion factor.
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