Paper Title
ARTIFICIAL INTELLIGENCE BASED SMART HANDOVER TECHNIQUE TO PROVIDE QOS IN 6G NETWORK

Abstract
Wireless networks have progressed from the first generation (1G) to the recent fifth generation (5G), focusing on aspects such as data rate, end-to-end latency, reliability, energy efficiency, coverage, and spectrum utilization. According to the International Telecommunication Union (ITU), 5G networks feature three primary usage scenarios: enhanced mobile broadband (eMBB), ultra-reliable and low latency communication (URLLC), and massive machine-type communications (mMTC) to support a variety of services. Technologies like millimeter-wave (mmWave), massive multiple-input multiple-output (MIMO), and device-to device (D2D) communications are utilized to provide users with improved quality of service (QoS) and quality of experience (QoE), as well as to enhance overall network performance. Keywords - Qos (Quality Of Service), Sixth Generation, Artificial Intelligence, Latency.