MODELS FOR IMPROVING SERVICE QUALITY IN IP TELEPHONY SYSTEMS
DOI:
https://doi.org/10.18372/2310-5461.63.19755Keywords:
IP, VoIP, QoS, AI, IP telephonyAbstract
In the modern world, the Internet Protocol (IP) has become the primary means of data transmission, including voice communications. IP telephony is actively replacing traditional telephone systems due to its flexibility, cost-effectiveness, and ability to integrate with other services. The increase in internet users, the development of cloud technologies, and the implementation of VoIP in business processes drive the demand for reliable and high-quality IP telephony systems.
However, key challenges for IP telephony remain factors such as voice transmission delays, packet loss, jitter variation, and susceptibility to network congestion. Unstable service quality can negatively impact user experience, especially in corporate settings and contact centers, where IP telephony is crucial for operational activities. Given the growing demands for high-quality voice communication and the development of services dependent on it (such as video conferencing, multimedia calls, etc.), the issue of enhancing service quality is becoming even more urgent.
Thus, research and development of new models and approaches to improving service quality in IP telephony systems is a relevant area aimed at providing continuous and high-quality communication for users worldwide.
This study examines existing models for improving service quality in IP telephony systems and the main QoS indicators in IP telephony. Approaches to improving existing models for enhancing service quality in IP telephony systems are defined. The development of a hybrid optimization model is proposed, combining AI and machine learning for automatic tuning and improvement of communication quality based on real data on load and traffic quality.
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