AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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An analytical framework for coherent AirComp with PA nonlinearities is developed and a closed-form expression for the receiver mean-squared error (MSE) under a memoryless polynomial PA model is derived.
Two closed-loop forecasting strategies, in which the network's own generated values are fed back into the network as if they were observed past values, are explored, which perform comparably to or better than zero-masking with S4, and in most cases match SpaceTime.
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