Proactive neighbor list optimization for automatic neighbor relation in a cellular wireless network
View Patent ↗A method and system for proactively managing a base station neighbor list. A base station or other network node tracks changes to the base station's neighbor list and identifies a recurring pattern of changes, in correspondence with a particular time of day for instance. The base station or other node then proactively changes the base station's neighbor list in anticipation of a recurrence of the identified pattern, such as in anticipation of recurrence of the time of day for instance. Advantageously, this method can help to reduce the extent to which the base station engages in an automatic neighbor relation process, and thus reduce the extent of signaling and other issues associated with engaging in that process.
1. A method comprising:
providing, by a base station, connectivity between a network and at least one user equipment device (UE) within wireless coverage of the base station;
maintaining, by the base station, a neighbor list indicating other base stations neighboring the base station;
receiving, by the base station from one or more of the at least one UE, reports of one or more particular base stations detected by the one or more UEs, and making changes to the neighbor list based on the received reports, by the base station, as the base station receives the reports;
identifying, by the base station, a pattern of the changes to the neighbor list; and
based on the identification of the pattern, proactively changing the neighbor list, by the base station, in accordance with the pattern and in anticipation of a reoccurrence of the pattern.
2. The method of claim 1 , further comprising:
initiating, by the base station, a handover of a given one of the one or more UEs from the base station to one of the other base stations indicated in a current version of the neighbor list.
3. The method of claim 1 , further comprising:
detecting, by the base station, a correlation between a recent pattern of changes to the neighbor list and at least a portion of the identified pattern, wherein the proactive changing of the neighbor list is in response to the detecting of the correlation.
4. The method of claim 1 , wherein the identified pattern corresponds with a particular time of day, and wherein the proactive changing of the neighbor list is in anticipation of the particular time of day.
5. The method of claim 1 , wherein the identifying of the pattern is in response to a rate of the changes to the neighbor list being greater than a threshold rate.
6. The method of claim 1 , further comprising:
determining that a rate of the changes to the neighbor list is less than a threshold rate; and
responsive to the determining that the rate is less than the threshold rate and the proactive changing of the neighbor list, preventing changes to the neighbor list by the base station for a given period of time that corresponds to a period of time when the identified pattern occurred.
7. The method of claim 1 , further comprising:
detecting a correlation between occurrence of the identified pattern and occurrence of a subsequent pattern of changes to another neighbor list associated with another base station; and
responsive to the detecting of the correlation and the proactive changing of the neighbor list, changing the other neighbor list in accordance with the correlation.