Stable Interaction of Self-Optimization Processes in Wireless Networks

The ability of base stations in wireless access networks to regularly and autonomously self-optimize their parameters has become a key requirement from network operators. A number of specific optimization use cases have been discussed whose federation relies on a separation in groups that are treated consecutively with negligible or no mutual interactions. In this paper, we introduce coordination and separation strategies and discuss their suitability to avoid interaction conflicts. In particular, we discuss a separation by the amount of measurements needed to make a reasonable decision to modify the parameters. For this case, we derive insight into the statistical relation between the tolerances we accept and the number of observations that are necessary to trigger a parameter modification. Recommendations are provided towards a stable holistic autonomous solution for wireless access networks.