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Delay Minimization in RIS-Assisted URLLC Systems under Reliability Constraints.

Xiaoyang Song1, Yingxin Zhao1,2, Wannan Zhao1

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|June 28, 2023
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Summary
This summary is machine-generated.

Reconfigurable intelligent surfaces (RIS) enhance ultra-reliable low-latency communication (URLLC) for the Internet of Things (IoT). Our ADMM algorithm minimizes latency while ensuring reliability, outperforming traditional methods.

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Area of Science:

  • Wireless Communication
  • Signal Processing
  • Internet of Things

Background:

  • Ultra-reliable and low-latency communication (URLLC) is crucial for Internet of Things (IoT) networks.
  • Stringent quality of service (QoS) demands require enhanced link quality and reliability.
  • Reconfigurable intelligent surfaces (RIS) offer a promising solution to improve link quality in URLLC systems.

Purpose of the Study:

  • Minimize transmission latency in an RIS-assisted URLLC uplink system.
  • Satisfy strict reliability constraints for IoT applications.
  • Develop a low-complexity algorithm for optimizing RIS phase shifts.

Main Methods:

  • Formulated the problem as minimizing latency under reliability constraints.
  • Employed the Alternating Direction Method of Multipliers (ADMM) to solve the non-convex optimization problem.
  • Addressed RIS phase shift optimization by formulating it as a Quadratically Constrained Quadratic Programming (QCQP) problem.

Main Results:

  • The proposed ADMM-based method achieved superior performance compared to the conventional semi-definite relaxation (SDR) method.
  • Demonstrated significantly lower computational complexity than the SDR-based method.
  • Achieved substantial reductions in transmission latency for the RIS-assisted URLLC system.

Conclusions:

  • The proposed ADMM algorithm effectively minimizes latency in RIS-assisted URLLC systems.
  • RIS deployment shows great potential for enhancing reliability in demanding IoT networks.
  • The method offers a practical and efficient solution for future URLLC applications.