Cellular BTS traffic characterization based on covariance and correlation

The development of wireless cellular networks has attracted attention because of their roles recently. Various services offered by the networks are the reason. Maintaining the network’s performance in terms of their quality as well as their capacity is worth it. Some processes to be taken including planning, implementing, evaluating, and optimizing become the key to the effort. In the fact, some external factors make the implementation of the networks not follow the planning that is based on theoretical approaches and in the worst case, have a significant difference. This paper underlines some problems that may happen as the impact of the difference. Some researchers have addressed the characterization of the performance in large clusters. However, this paper discusses the performance based on small clusters. Specifically, this study emphasizes the analysis of traffic in terms of a single BTS (base transceiver station). The use of covariance and correlation is proposed for characterizing traffic in a single BTS. Based on sample BTSs, the study can categorize traffic of a BTS into some conditions, for instance, BTSs that have correlation values below 0.5 are classified into the first category. It means the pattern of traffic is different between sectors. These classifications are beneficial for further BTS optimization and can be used as one consideration.