AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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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 joint access and fronthaul resource allocation algorithm is proposed that maximizes the minimum user equipment (UE) spectral efficiency while satisfying fronthaul load constraints and shows that severe fronthaul limitations not only reduce UE rates but also introduce spatial performance disparities depending on the c...
A cross-layer end-to-end (E2E) resource orchestration framework for green CF-mMIMO ISAC systems with distributed multi-target detection is developed and a fundamental implementation trade-off is revealed: FIS provides lower detector-processing complexity and higher detection performance, whereas PIS substantially reduc...
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