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many of the on-site operations. Additionally, about 24 percent of a typical wireless operator's revenue is normally spent on network OPEX, including training, support, power, transmission, and site rental [14]. Self-optimization functions can reduce the workload for site survey and analysis of network performance and thus reduce OPEX. Moreover, energy-saving functions enabled by self-optimization capabilities reduce costs for power consumed by the equipment. Additionally, the improved quality of user experience due to an optimal configuration of network elements and allocation of resources boosts the operator's profile and opens up new avenues for revenue. Figure 1 illustrates the impact of employing self-organizing network (SON) functionalities on various stages of a

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