Task-Oriented Semantics-Aware Communication for Wireless UAV Control and Command Transmission

Yujie Xu, Hui Zhou, Yansha Deng*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

To guarantee the safety and smooth control of Unmanned Aerial Vehicle (UAV) operation, the new control and command (C&C) data type imposes stringent quality of service (QoS) requirements on the cellular network. However, the existing bit-oriented communication framework is already approaching the Shannon capacity limit, which can hardly guarantee the ultra-reliable low latency communications (URLLC) service for C&C transmission. To solve the problem, task-oriented semantics-aware (TOSA) communication has been proposed recently by jointly exploiting the context of data and its importance to the UAV control task. However, to the best of our knowledge, an explicit and systematic TOSA communication framework for emerging C&C data type remains unknown. Therefore, in this letter, we propose a TOSA communication framework for C&C transmission and define its value of information based on both the similarity and age of information (AoI) of C&C signals. We also propose a deep reinforcement learning (DRL) algorithm to maximize the TOSA information. Last but not least, we present the simulation results to validate the effectiveness of our proposed TOSA communication framework.

Original languageEnglish
Pages (from-to)2232-2236
Number of pages5
JournalIEEE COMMUNICATIONS LETTERS
Volume27
Issue number8
DOIs
Publication statusPublished - 1 Aug 2023

Keywords

  • AoI
  • Control and command
  • DRL
  • similarity
  • task-oriented and semantics-aware communication
  • UAV

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