6G Wireless Systems: A Vision, Architectural Elements, and Future Directions

Latif U. Khan, Ibrar Yaqoob, Muhammad Imran, Zhu Han, Choong Seon Hong

Research output: Contribution to journalArticlepeer-review

235 Scopus citations

Abstract

Internet of everything (IoE)-based smart services are expected to gain immense popularity in the future, which raises the need for next-generation wireless networks. Although fifth-generation (5G) networks can support various IoE services, they might not be able to completely fulfill the requirements of novel applications. Sixth-generation (6G) wireless systems are envisioned to overcome 5G network limitations. In this article, we explore recent advances made toward enabling 6G systems. We devise a taxonomy based on key enabling technologies, use cases, emerging machine learning schemes, communication technologies, networking technologies, and computing technologies. Furthermore, we identify and discuss open research challenges, such as artificial-intelligence-based adaptive transceivers, intelligent wireless energy harvesting, decentralized and secure business models, intelligent cell-less architecture, and distributed security models. We propose practical guidelines including deep Q-learning and federated learning-based transceivers, blockchain-based secure business models, homomorphic encryption, and distributed-ledger-based authentication schemes to cope with these challenges. Finally, we outline and recommend several future directions.

Original languageBritish English
Article number9163104
Pages (from-to)147029-147044
Number of pages16
JournalIEEE Access
Volume8
DOIs
StatePublished - 2020

Keywords

  • 5G
  • 6G
  • blockchain
  • federated learning
  • Internet of Everything
  • Internet of Things
  • meta learning

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