Year: 2024
Type: conference-paper
Abstract: Low latency and high data rate performance are essential in wireless communication systems. This paper explores trade-offs between latency and data rates for optical wireless communication. We introduce a latency-optimized model utilizing compound codes as one corner case and a data rate-optimized model employing channel estimation via pilot signals and feedback before data transmission. Trade-offs between the two extremes are displayed. Most importantly, we detail operating points that can only be reached when the receiver side of the link employs optimal quantum measurement strategies. Furthermore, we propose an IoT application in a robot factory as an example scenario. Our findings reveal a trade-off between latency and data rate driven by two basic algorithms: compound codes reduce latency at the cost of data rates, while channel estimation enhances data rates at the cost of latency.
Authors: Zuhra Amiri, Florian Seitz, Janis Nötzel
Institution: Technical University of Munich
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Awards: Verbundprojekt: Quantenkommunikation für Internet-of-Things-Netzwerke - QUIET -, G1305463392, Verbundprojekt: Quanten Drahtloses Campusnetzwerk - QD-CamNetz - , Teilvorhaben: TP-Boche: Quantenklassische Verbindungen, TP-Deppe: Quantenklassischen Verbindungsschicht Protokolle, TP-Nötzel: Quantenklassiche Simulations/Emulations-Plattform, Verbundprojekt: Digitale Transformation und Souveränität künftiger Kommunikationsnetze - 6G-life -, Teilvorhaben: Grundlagen und Systemlösungen für Post Shannon Kommunikation, In-Network Computing, eingebettete Sicherheit und Resilienz, G3690431148, G5018688533, G7472567491, Verbundprojekt: Resilienz für das Quanten-Internet - Q-TREX -
OpenAlex ID: W4405908238