Admission Control for URLLC Users in 5G Networks

2021 ◽  
Author(s):  
Fidan Mehmeti ◽  
Thomas F. La Porta
2021 ◽  
Vol 13 (2) ◽  
pp. 1-08
Author(s):  
Maharazu Mamman ◽  
Zurina Mohd Hanapi

Recently, many generations of mobile networks have changed from one transition to another transition. The mode of transition from the first generation (1G) to the fifth generation (5G) is characterized by a lot of performance challenges such as delay, speed of the users, mobility, and variety of services. Currently, different from prior generations, 5G is not only concerned with the mobile networks but also, with various applications and different services such as health sector, transportation, energy consumption, safety well as Smart City. All these services are incorporated by 5G. In this paper, we proposed a call admission control (CAC) algorithm with an efficient handoff for both 4G and 5G networks. Simulation is used to evaluate the effectiveness of the proposed algorithm, and the obtained results indicate it considerably performs better than do other algorithms based on valuable metrics such as data throughput, call blocking probability (CBP), and call dropping probability (CDP).


2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Mohammed Al-Maitah ◽  
Olena O. Semenova ◽  
Andriy O. Semenov ◽  
Pavel I. Kulakov ◽  
Volodymyr Yu. Kucheruk

Artificial intelligence is employed for solving complex scientific, technical, and practical problems. Such artificial intelligence techniques as neural networks, fuzzy systems, and genetic and evolutionary algorithms are widely used for communication systems management, optimization, and prediction. Artificial intelligence approach provides optimized results in a challenging task of call admission control, handover, routing, and traffic prediction in cellular networks. 5G mobile communications are designed as heterogeneous networks, whose important requirement is accommodating great numbers of users and the quality of service satisfaction. Call admission control plays a significant role in providing the desired quality of service. An effective call admission control algorithm is needed for optimizing the cellular network system. Many call admission control schemes have been proposed. The paper proposes a methodology for developing a genetic neurofuzzy controller for call admission in 5G networks. Performance of the proposed admission control is evaluated through computer simulation.


Author(s):  
Nipuni Uthpala Ginige ◽  
K. B. Shashika Manosha ◽  
Nandana Rajatheva ◽  
Matti Latva-aho

2021 ◽  
Author(s):  
Fidan Mehmeti ◽  
Thomas F. La Porta

2010 ◽  
Vol E93-B (3) ◽  
pp. 721-724
Author(s):  
Abhishek ROY ◽  
Navrati SAXENA ◽  
Jitae SHIN

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