Energy Efficiency Optimization of Finite Block Length Star-Ris-Aided Mu-Mimo Broadcast Channels
Soleymani M, Santamaria I, Jorswieck E, Schober R, Hanzo L (2025)
Publication Type: Conference contribution
Publication year: 2025
Journal
Publisher: Institute of Electrical and Electronics Engineers Inc.
Conference Proceedings Title: IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Event location: Surrey
ISBN: 9781665477765
DOI: 10.1109/SPAWC66079.2025.11143431
Abstract
Energy-efficient designs are proposed for multi-user (MU) multiple-input multiple-output (MIMO) broadcast channels (BC), assisted by simultaneously transmitting and reflecting (STAR) reconfigurable intelligent surfaces (RIS) operating at finite block length (FBL). In particular, we maximize the sum energy efficiency (EE), showing that STAR-RIS can substantially enhance it. Our findings demonstrate that the gains of employing STAR-RIS increase when the codeword length and the maximum tolerable bit error rate decrease, meaning that a STAR-RIS is more energy efficient in a system with more stringent latency and reliability requirements.
Authors with CRIS profile
Involved external institutions
Technische Universität Braunschweig
Germany (DE)
Universidad de Cantabria (UC)
Spain (ES)
University of Southampton
United Kingdom (GB)
Universität Paderborn
Germany (DE)
Germany (DE)
Universidad de Cantabria (UC)
Spain (ES)
University of Southampton
United Kingdom (GB)
Universität Paderborn
Germany (DE)
How to cite
APA:
Soleymani, M., Santamaria, I., Jorswieck, E., Schober, R., & Hanzo, L. (2025). Energy Efficiency Optimization of Finite Block Length Star-Ris-Aided Mu-Mimo Broadcast Channels. In IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC. Surrey, GB: Institute of Electrical and Electronics Engineers Inc..
MLA:
Soleymani, Mohammad, et al. "Energy Efficiency Optimization of Finite Block Length Star-Ris-Aided Mu-Mimo Broadcast Channels." Proceedings of the 26th IEEE International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications, SPAWC 2025, Surrey Institute of Electrical and Electronics Engineers Inc., 2025.
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