Theoretical Analysis of the Three-Dimensional CAC Considering Connection and Communication Quality
<|reference_start|>Theoretical Analysis of the Three-Dimensional CAC Considering Connection and Communication Quality: In emergencies such as disasters, the number of voice calls (VoIP sessions) increases rapidly for a variety of purposes. Thus, a control server near a disaster area may not be able to connect to VoIP sessions due to congestion. To solve this problem, a Call Admission Control (CAC) is needed to determine whether a VoIP session requesting a connection can be accepted or rejected. A CAC has the purpose of guaranteeing the connection quality and communication quality of VoIP sessions. One conventional method classifies VoIP sessions into three classes (emergency VoIP sessions, VoIP sessions from the disaster area, and VoIP sessions from outside the disaster area) by focusing on the outgoing location and offers a CAC with a priority level for each. However, a conventional CAC method cannot be applied to VoIP networks because reception control is designed for Public Switched Telephone Networks (PSTN). When conventional methods are applied to VoIP networks, the connection quality is guaranteed, however the communication quality cannot be guaranteed because the packet dropping probability is not considered. In this paper, we propose a three-dimensional CAC that controls three classes of VoIP sessions and guarantees both communication and connection quality in VoIP networks during emergencies. A conventional CAC method and our proposed CAC method are evaluated in terms of the call blocking probability, which guarantees the connection quality, and packet dropping probability, which guarantees the communication quality, to show the effectiveness of the proposed method.<|reference_end|>
@article{narikiyo2024theoretical,
    title={Theoretical Analysis of the Three-Dimensional CAC Considering Connection
  and Communication Quality},
    author={Sota Narikiyo, Sumiko Miyata, Ken-ichi Baba, and Katsunori Yamaoka},
    journal={arXiv preprint arXiv:2404.04894},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.04894},
    primaryClass={cs.NI cs.SY eess.SY}
}