LTE provides fast and continuous handover from one BS (Base Station) to another to achieve the user's desired Quality of Service (QoS). The decision must rapidly be taken between handover and load balancing to attain efficient QoS. Various algorithms are implemented into the system to make this decision, carrying out planning, processing and installation steps. This requires a maximum number of manual involvements and results in errors. Hence, to make the systems error-sensitive and to reduce manual involvement, LTE networks implement SON functions to operate decision-making automatically. Where Key factors of system performance include handover and load balancing. A new efficient optimization technique for LTE networks based on a fuzzy logic system is proposed in this study for decision-making. Fuzzy logic considers several network parameters and takes handover or load-balancing decisions. This decision is made according to network status and also considering its parameters. A fuzzy logic system requires an optimal solution at certain stages; hence, the system uses an optimization algorithm to optimize the handover and load-balancing decision. To satisfy the increased demand for a high data rate while maintaining the QoS, a dense Long-Term Evolution (LTE) cell is necessary. This network implements specific algorithms to the network for performing handover. This research proposes an efficient network fuzzy logic algorithm to achieve continuous handover. Also, this study analyses the possibility of a successful handover or load balancing made using this fuzzy logic system. When a fuzzy logic system cannot make an appropriate decision, it uses an optimization algorithm and overcomes the conflict, as mentioned above. The outcome of the proposed system model shows an increased system performance and mobility for users; hence, it hopefully reaches the desired QoS.