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August 1, 20251 citationsOpen Access

Artificial Intelligence in Wireless Communication: Trends, Applications, and Future Directions

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RKR. Karthick

Key Points

  • MAIN FINDING: AI is reshaping wireless communication by enhancing the design, optimization, and operation of networks.
  • KEY EVIDENCE: The review focuses on various applications such as spectrum management and resource allocation using AI technologies.
  • APPROACH: The work analyzes developments in machine learning, deep learning, and reinforcement learning for wireless communication.
  • SIGNIFICANCE: This research highlights opportunities and future directions in the rapidly evolving field of AI in wireless communication.

Abstract

The infusion of Artificial Intelligence (AI) in wireless communication is revolutionizing the way design, optimization, and the operation of modern networks are conducted. AI has paved the way for smarter, learning, and self-organizing networks, using machine learning, deep learning, and reinforcement learning. This work provides a detailed review of AI for wireless communication, such as spectrum management, resource allocation, signal detection, predictive maintenance, etc. We also describe the opportunities, recent progresses, open issues and future research directions in this fast-growing area.

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Cite This Study

R. Karthick (2025) studied this question.

synapsesocial.com/papers/689a0c65e6551bb0af8cfa4ehttps://doi.org/10.20944/preprints202507.2509.v1
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