Affiliation:
1. Faculty of Engineering, Higher Technological Institute
2. National Telecommunications Institute
3. Al Azhar University
Abstract
Abstract
The handover (HO) process is one of the essential processes in mobile network management and becomes an indispensable solution for quality of service (QoS) improvement during a user's mobility. In the B5G/6G network, the deployment of small cells increased to keep up with the growth of mobile traffic. This deployment will increase the number of handovers between cells. Ping-Pong HO (PPHO) and radio link failure (RLF) are considered the two major problems in HO that may occur. So, the challenge is to set the handover control parameters (HCPs) carefully to find out the proper HO decision that should be appropriate to the environmental constraints. Therefore, in our paper, we propose an adaptive HCPs algorithm that adapts to environmental constraints such as reference signal received power (RSRP), signal to interference plus noise ratio SINR, user (UE) velocity, cell load factor, and time of stay (ToS) for the UE in the cell. In the proposed model, we have immunity to RLF, and in addition to that, we significantly minimize the amount of PPHO compared to other workers. Subsequently, we improve the HO's performance and thereby provide better throughput for serving the UE in the network than that of other workers. The proposed algorithm is implemented on different handover categories in a two-tier B5G/6G heterogeneous network. In the simulation results, our proposed model is evaluated using two frequency plans. By using frequency plan 1, the UE mean throughput increased from 270 Kbps to 281 Kbps when the serving cell was fully loaded. By using frequency plan 2, the UE mean throughput increased from 6 Mbps to 20 Mbps when the serving cell was fully loaded. In addition, the amount of ping-pong handover (PPHO) between overlapped small cells decreased and will not exceed one PPHO compared to another literature model.
Publisher
Research Square Platform LLC
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