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Example 6.3 introduces a powerful predictive power control. Set up the system in Figure 6.22. The structure of the predictor contains parameters determining its structure: ng and nc.
(a) Test different structures of the predictor starting with ng = 2 and nc = 1. Is it beneficial to have a high order structure?
(b) Test both low speed case of 5 km/h and high speed case of 100 km/h.
(c) Study how the predictor parameters vary. If they converge and do not vary much after a while, test the resulting constant values as control parameters.
Example 6.3
Consider the uplink control model in Figure 6.6, where the relay controller is replaced with the controller depicted in Figure 6.15.
Repeat Example 6.1 with the same data parameter values and Jakes' fading model. Study the system behavior using Simulink. Consider a slow MS speed of 5 km/h (pedestrian walk) and fast speed of 100 km/h (vehicle moving on an expressway)
Should there be stiff compensation back to customers for the risk they are now enduring?
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Tip: If you do not have access to ER modeling software or a diagramming tool like Visio or OmniGraffle, you can simply create diagrams in a presentation tool like PowerPoint. This is an essential skill which is used in the field.
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