A Survey on Semantic Communications for Intelligent Wireless Networks

  • Sridhar Iyer*
  • , Rajashri Khanai
  • , Dattaprasad Torse
  • , Rahul Jashvantbhai Pandya
  • , Khaled M. Rabie
  • , Krishna Pai
  • , Wali Ullah Khan
  • , Zubair Fadlullah
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

60 Scopus citations

Abstract

Research on intelligent wireless network aims at the development of a human society which is ubiquitous and mobile, simultaneously providing solutions to the coverage, capacity, and computing issues. These networks will focus on provisioning intelligent use-cases through higher data-rates over the millimeter waves and the Tera-Hertz frequency. However, at such high frequencies, multiple non-desired phenomena such as, atmospheric absorption and blocking occur which create a bottleneck owing to resource scarcity. Hence, existing trend of exactly reproducing transmitted data at the receiver will result in a constant need for higher bandwidth. A possible solution to such a challenge lies in semantic communications which focuses on meaning (relevance or context) of the received data. This article presents a detailed survey on the recent technological trends in regard to semantic communications for intelligent wireless networks. Initially, the article focuses on the semantic communications architecture including the model, and source and channel coding. Next, cross-layer interaction, and various goal-oriented communication applications are detailed. Further, overall semantic communications trends are presented following which, the key challenges and issues are detailed. Lastly, this survey article is an attempt to significantly contribute towards initiating future research in the area of semantic communications for the intelligent wireless networks.

Original languageEnglish
Pages (from-to)569-611
Number of pages43
JournalWireless Personal Communications
Volume129
Issue number1
DOIs
StatePublished - Mar 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Keywords

  • 6G
  • AI, ML
  • Intelligent wireless networks
  • Semantic communications
  • Semantic learning

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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