In this chapter, we explore several advanced topics at the forefront of research in machine learning (ML) for wireless communication. These include emerging computing paradigms like edge and fog computing, cognitive radio networks, the intersection of ML with the Internet of Things (IoT), the vision for next-generation (6G and beyond) wireless networks, and important ethical and societal considerations. Each section provides an accessible explanation of core concepts and real-world examples, along with code snippets to illustrate practical implementations.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Advanced Topics and Future Directions

  • Rohit M. Thanki,
  • Komal R. Borisagar,
  • Anjali Diwan

摘要

In this chapter, we explore several advanced topics at the forefront of research in machine learning (ML) for wireless communication. These include emerging computing paradigms like edge and fog computing, cognitive radio networks, the intersection of ML with the Internet of Things (IoT), the vision for next-generation (6G and beyond) wireless networks, and important ethical and societal considerations. Each section provides an accessible explanation of core concepts and real-world examples, along with code snippets to illustrate practical implementations.