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Spectral and Energy Efficiency Maximization of MISO STAR-RIS-assisted URLLC Systems | | Mohammad Soleymani
; Ignacio Santamaria
; Eduard Jorswieck
; | | Date: |
2 Jan 2023 | | Abstract: | This paper proposes a general optimization framework to improve the spectral
and energy efficiency (EE) of ultra-reliable low-latency communication (URLLC)
reconfigurable intelligent surface (RIS)-assisted interference-limited systems
with finite block length (FBL). This framework can be applied to any
interference-limited system with treating interference as noise as the decoding
strategy at receivers. Additionally, the 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. 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. In addition to regular RIS, we consider
simultaneous-transfer-and-receive (STAR)-RIS in which each passive RIS
component can simultaneously reflect and transmit signals. We make realistic
assumptions regarding the (STAR-)RIS by considering three different feasibility
sets for the components of either regular RIS or STAR-RIS. We show that RIS can
substantially increase the spectral and EE of RIS-assisted URLLC systems if the
reflecting coefficients are properly optimized. Moreover, we show that STAR-RIS
can outperform a regular RIS when the regular RIS cannot cover all the users. | | Source: | arXiv, 2301.00583 | | Services: | Forum | Review | PDF | Favorites | |
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