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The handover process is one of the most important aspects of mobility management in 5G networks, it ensures a user's network connection continuity while moving from one location to another. It is also the cornerstone of achieving mobility load balancing under the name of the offloading process. The decision-making phase is one of the handover stages that need improvement to choose the appropriate station and accurately determine the handover parameters to select the proper time to execute the handover. In this paper, we proposed a Load-based Handover Decisionmaking algorithm based on fuzzy logic, considering the cell's load before implementing the handover decision to determine whether the candidate cell is suitable for the handover process to avoid problems resulting from handover to a heavily loaded cell. The results showed that the proposed algorithm provided an improvement in terms of the standard deviation of the load in the network, average throughput, packet loss rate, and handover failure rate.