Self-learning, adaptive approach for intelligent analytics-assisted self-organizing-networks (SONs)

An apparatus comprising:

• at least one processor;
• and
• a computer readable storage medium storing programming for execution by the at least one processor, the programming including instructions to:
• iteratively adjust a wireless configuration parameter of an access point (AP) according to a simulated annealing (SA) based selection algorithm, wherein the instructions to iteratively adjust the wireless configuration parameter of the AP according to the SA based selection algorithm includes instructions to:
• when a cost increase during a single iteration in a first stage exceeds an upper cost threshold, ending iteratively adjusting the wireless configuration parameter in a direction during a first stage of an adjustment period;
• and
• when a threshold number of successive iterations in the first stage exhibit a per-iteration cost increase between the upper cost threshold and a lower cost threshold, ending iteratively adjusting the wireless configuration parameter in a direction during a first stage of an adjustment period;
• and
• when a cost increase during a single iteration in a second stage exceeds an upper cost threshold, ending iteratively adjusting the wireless configuration parameter of the AP in an opposite direction, or otherwise maintaining a value of the wireless configuration parameter, during a second stage of the adjustment period until either;
• and
• when a threshold number of successive iterations in the second stage exhibit a per-iteration cost increase between the upper cost threshold and a lower cost threshold ending iteratively adjust the wireless configuration parameter of the AP in an opposite direction, or otherwise maintaining a value of the wireless configuration parameter, during a second stage of the adjustment period.

A method for adjusting communication parameters in a wireless network, the method comprising:

• iteratively adjusting a first wireless configuration parameters of an access point (AP) according to a simulated annealing (SA) based selection algorithm, wherein iteratively adjusting the first wireless configuration parameters of the AP according to the SA based selection algorithm comprises:
• when a cost increase during a single iteration in a first stage exceeds an upper cost threshold ending iteratively adjusting a first wireless configuration parameter during a first stage of an adjustment period;
• and
• when a threshold number of successive iterations in the first stage exhibit a per-iteration cost increase between the upper cost threshold and a lower cost threshold, ending iteratively adjusting the first wireless configuration parameter during the first stage of an adjustment period;
• and
• when a cost increase during a single iteration in a second stage exceeds an upper cost threshold, ending iteratively changing a second wireless configuration parameter of the AP during a second stage in the adjustment period;
• and
• when a threshold number of successive iterations in the second stage exhibit a per-iteration cost increase between the upper cost threshold and a lower cost threshold, ending iteratively changing the second wireless configuration parameter of the AP during the second stage in the adjustment period,
• wherein the second wireless configuration parameter being is different than the first wireless configuration parameter.