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| Title | Artificial Intelligence Techniques Over The Fifth Generation Mobile Networks |
|---|---|
| ID_Doc | 10538 |
| Authors | Hassan A.N.; Al-Chlaihawi S.; Khekan A.R. |
| Year | 2021 |
| Published | Indonesian Journal of Electrical Engineering and Computer Science, 24, 1 |
| DOI | http://dx.doi.org/10.11591/ijeecs.v24.i1.pp317-328 |
| Abstract | A well fifth generation (5G) mobile networks have been a common phrase in recent years. So, 2025 the number of devices based on 5G will reach about 100 billion, about 2.5 billion users are expected to consume more than a gigabyte (GB) of data per month. 5G will play important roles in new areas, from smart cities and mobile augmented reality, and 4,000 pixels (4K) video streaming. Bandwidth higher than the fourth generation (4G), more reliability and less latency are some of the features that distinguish this generation from previous generations. These features are impressive to a mobile network, but will pose serious challenges for operators and communications companies and will lead to complexity. Managing this network, preventing errors and minimizing latency are some of the challenges that 5G of mobile networks will bring. So, the use of artificial intelligence and machine learning is a good way to solve these challenges. In this paper, we will review the artificial intelligence techniques used in communications networks. Creating a robust and efficient communications network using artificial intelligence techniques is an incentive for future research. The importance of this issue is such that sixth generation (6G) of cellular communications. So, much emphasis on the use of artificial intelligence. © 2021 Institute of Advanced Engineering and Science. All rights reserved. |
| Author Keywords | Artificial intelligence; Fifth generation cellular telecommunications; Machine learning; Mobile telecommunications |
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