Management of Wireless Communication Systems Using Artificial Intelligence-Based Software Defined Radio

Authors

  • Faiq A. Mohammed Bargarai Duhok Polytechnic University
  • Adnan Mohsin Abdulazeez Duhok Polytechnic University
  • Volkan Müjdat Tiryaki Siirt University Siirt City,Turkey
  • Diyar Qader Zeebaree DPU

DOI:

https://doi.org/10.3991/ijim.v14i13.14211

Keywords:

SDR, artificial intelligence, connectivity, and coverage area

Abstract


The wireless communication system was investigated by novel methods, which produce an optimized data link, especially the software-based methods. Software-Defined Radio (SDR) is a common method for developing and implementing wireless communication protocols. In this paper, SDR and artificial intelligence (AI) are used to design a self-management communication system with variable node locations. Three affected parameters for the wireless signal are considered: channel frequency, bandwidth, and modulation type. On one hand, SDR collects and analyzes the signal components while on the other hand, AI processes the situation in real-time sequence after detecting unwanted data during the monitoring stage. The decision was integrated into the system by AI with respect to the instantaneous data read then passed to the communication nodes to take its correct location. The connectivity ratio and coverage area are optimized nearly double by the proposed method, which means the variable node location, according to the peak time, increases the attached subscriber by a while ratio

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Published

2020-08-14

How to Cite

Bargarai, F. A. M., Abdulazeez, A. M., Tiryaki, V. M., & Zeebaree, D. Q. (2020). Management of Wireless Communication Systems Using Artificial Intelligence-Based Software Defined Radio. International Journal of Interactive Mobile Technologies (iJIM), 14(13), pp. 107–133. https://doi.org/10.3991/ijim.v14i13.14211

Issue

Section

Papers