Artificial Intelligence in Wireless Communications: An Overview of Present-day Paradigms
Akinsolu, Mobayode O. (2025) Artificial Intelligence in Wireless Communications: An Overview of Present-day Paradigms. In: 5th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM), 20-22 November 2024, Balaclava, Mauritius.
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Abstract
The integration of artificial intelligence (AI) into wireless communications is growing rapidly. This growth is primarily driven by machine learning (ML) techniques, which can be broadly categorized into supervised learning, unsupervised learning, and reinforcement learning. Today, AI-based paradigms are transforming the field of wireless communications by enhancing various aspects, from the rapid design and optimization of components and devices to the robust analysis and characterization of entire systems and networks. This includes advanced systems such as present-day fifth-generation mobile (5G) and the upcoming sixth-generation mobile (6G) systems and networks. AI techniques also offer promising solutions to numerous design and development challenges in modern wireless communications. These challenges encompass enhancing power and energy effi-ciency, meeting stringent performance criteria, and improving the overall reliability of wireless communication devices, systems, and networks. This paper provides an overview of current paradigms demonstrating the application of AI, particularly ML techniques, in wireless communications.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Keywords: | Artificial intelligence (AI), machine learning (ML), and wireless communications. |
| Divisions: | Applied Science, Computing and Engineering |
| Depositing User: | Hayley Dennis |
| Date Deposited: | 11 Jun 2025 12:01 |
| Last Modified: | 11 Jun 2025 12:01 |
| URI: | https://wrexham.repository.guildhe.ac.uk/id/eprint/18308 |
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