Spectral and Energy Efficiency Maximization of MISO STAR-RIS-assisted URLLC Systems
Mohammad Soleymani, Ignacio Santamaria, Eduard Jorswieck

TL;DR
This paper introduces a flexible optimization framework for enhancing spectral and energy efficiency in URLLC systems aided by STAR-RIS, demonstrating significant improvements through optimized reflection strategies and various transmission schemes.
Contribution
The paper develops a general optimization framework applicable to interference-limited URLLC systems with STAR-RIS, including realistic RIS models and multiple transmission strategies, advancing system performance.
Findings
RIS significantly boosts spectral and energy efficiency when optimized.
STAR-RIS can outperform regular RIS in coverage and efficiency.
Energy splitting scheme outperforms mode and time switching schemes.
Abstract
This paper proposes a general optimization framework to improve the spectral and energy efficiency (EE) of ultra-reliable low-latency communication (URLLC) simultaneous-transfer-and-receive (STAR) reconfigurable intelligent surface (RIS)-assisted interference-limited systems with finite block length (FBL). This framework can solve a large variety of optimization problems in which the objective and/or constraints are linear functions of the rates and/or EE of users. Additionally, the framework can be applied to any interference-limited system with treating interference as noise as the decoding strategy at receivers. We consider a multi-cell broadcast channel as an example and show how this framework can be specialized to solve the minimum-weighted rate, weighted sum rate, global EE and weighted EE of the system. We make realistic assumptions regarding the (STAR-)RIS by considering three…
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Taxonomy
TopicsAnalytical Chemistry and Sensors · Gas Sensing Nanomaterials and Sensors · Water Quality Monitoring and Analysis
