## 4 Experimental Results
The total number of active and lost requests in heterogenous networks is depicted in Figure 15.  
As can be seen in Figure 16, the amount of load from users was redistributed. Redistribution occurred in accordance with the statistical reservation of the number of sessions allocated to a particular type of service. Incoming requests were redistributed among the BSs in the heterogeneous network, the number of lost requests decreased significantly, and the performance of the heterogeneous network increased. A block diagram of a heterogeneous network with load balancing is depicted in Figure 16.  
Figure 14: Block diagram of the heterogeneous network functioning process (traditional method 2). Figure 15: The total number of active and lost requests in heterogenous networks (traditional method 2). Figure 17 shows the resource allocation in a heterogeneous network, based on the dynamic reservation of the number of sessions for different types of services. The decision on the required number of sessions for each technology is made after estimating the resources needed to serve the incoming load at time t. This redistribution improves the performance of the heterogeneous network, utilizes all available resources and adapts to the incoming load. To assess the optimization of the network, the normalized value of the resources of each of the technologies is taken into account. Performance evaluation of the proposed integrated method (static and dynamic reservation) for heterogeneous mobile network using big data is depicted in Figure 18. The KPI (Key Performance Indicator) is a quantifiable indicator of the results actually achieved by implementing our solutions. This indicator characterizes the ratio between the achieved result and the resources utilized by the network from the maximum available to it (in our work, such a resource is the maximum network capacity for a different wireless technology). Network capacity is the amount of traffic that a network can handle at any given time. This includes the number of maximum network throughput or maximum active sessions as depicted in Figure 8, highlighted in a red box. In our work, to compare our solutions with the known, we classify KPIs as K1, K2, K3, where coefficient K1 is an KPI indicator that determines the total performance of homogeneous networks (traditional method 1). The coefficient K2 is an indicator that determines the performance  
Figure 13.0 Block diagram of a heterogeneous network functioning process with load balancing (our proposed method 1). Figure 13.1 The total number of active and lost requests in proposed heterogenous networks with load balancing (our proposed method 1). of a heterogeneous network with static reservation of the number of sessions for each type of service (traditional method 2). The coefficient K3 is an indicator that determines the performance of a heterogeneous network with dynamic reservation of the number of sessions for each type of service (our proposed method). Figure 18 shows the result of a comprehensive method to improve the performance of a heterogeneous network system, which allows an overall increase in network performance of 29%, compared to the existing homogeneous systems. A block diagram of a heterogeneous network functioning process with load balancing and user prioritization is depicted in Figure 13.2  
Figure 19 presents a block diagram of the distribution of incoming requests according to user priority. It is important for the operator to meet the needs of priority users. When the input load in a heterogeneous network exceeds the resources of this network and requests from users are rejected, it is necessary to take into account the priority of requests to reduce the level of user dissatisfaction. Accordingly, the paper proposes to analyze the priority of requests from the UE. In this case, priority requests will go to active sessions, and not priority to be discarded. If the network resources are not enough to service priority requests, then we analyze the active sessions and reject non-priority sessions.