Learning Stimulus Module (LSM)

I was discussing the idea of a periodized training plan for a cognitive radio with a friend the other day. He had suggested that during low traffic times, such as late at night, it might be a good idea for the cognitive radio to go into high learning mode.

This mode would require more resources which would take away from the main end goal of performance, but because it was a lot priority time the effect on performance wouldn't be as much of an issue. The problem with this logic is that in order for the radio to learn it is going to need inputs in order to develop a history of cases from which to refer to for future learning. During a low traffic period such as late at night there is less traffic in the over all spectrum environment and there for less of a chance to take in inputs from which to develop decisions which in turn build up the case based library.

He had a great idea to create an artificial stimulus which could create inputs for the system. These inputs would simultate things such as other radios operating in the same spectrum. The cogntive node would not know that this is actually an artificial stimulus and would follow along its learning path of reading the meters, making a decision based on a policy tree and case based reasoning flow chart. These decisions contribute to the overall case library.

This learning stimulus would engage during low period times which is an efficient use of the radio. While it might typically lay dormant during these times of low traffic with the use of the LSM it can train itself without affecting the end goal of overall performance. The LSM can shut down when the radio needs to send priority information, or when there is real spectrum stimulus in the area.