Towards Facilitating Power Efficient URLLC Systems in UAV Networks Under Jittering

Ali Ranjha, Muhammad Awais Javed, Md Jalil Piran, Muhammad Asif, Mostafa Hussien, Sherali Zeadally, Jaroslav Frnda

Research output: Contribution to journalArticlepeer-review


Consumer electronics can support sixth-generation (6G) systems and their services, including ultra-reliable and low-latency communications (URLLC). In this context, unmanned aerial vehicles (UAVs) have become increasingly popular because they can: be dynamically positioned, take advantage of channel gains, and communicate directly via line-of-sight. UAVs, on the other hand, are unable to maintain a stable flight for prolonged periods of time and suffer from jittering impairments caused by strong winds. As a result of atmospheric conditions and environmental interference, the perfect channel state information (CSI) becomes obsolete. The aim of this study is to propose a power-efficient resource allocation scheme for URLLC-enabled UAV communication systems under finite block lengths, imperfect CSIs, and adverse jittering effects caused by wind. This involves optimizing UAV positioning and blocklength distribution together. Additionally, we propose a perturbation-based semidefinite programming (SDP) approach to reduce the sum power and demonstrate that it outperforms fixed benchmark algorithms. As such, it can reach power savings up to 77.18% compared to fixed benchmark algorithms. Our extensive simulation results demonstrate that our approach performs similarly to the exhaustive search and has low complexity. Thus, the proposed method thus provides a practical power-efficient URLLC implementation for memory-constrained UAV networks.

Original languageEnglish
Pages (from-to)1
Number of pages1
JournalIEEE Transactions on Consumer Electronics
StateAccepted/In press - 2023

Bibliographical note

Publisher Copyright:


  • 6G mobile communication
  • Atmospheric modeling
  • Autonomous aerial vehicles
  • Downlink
  • Imperfect CSI
  • Power efficient
  • Resource Allocation
  • Resource management
  • UAV jittering
  • Ultra reliable low latency communication
  • Uncertainty
  • Unmanned Aerial Vehicles (UAVs)

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering


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