De Sombre, Wanja ; Marques, Felipe ; Pyttel, Friedrich ; Ortiz Jimenez, Andrea Patricia ; Klein, Anja (2023)
A Unified Approach to Learn Transmission Strategies Using Age-Based Metrics in Point-to-Point Wireless Communication.
2023 IEEE Global Communications Conference. Kuala Lumpur, Malaysia (04.-08.12.2023)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Based on the Age of Information as an optimization criterion, proposals for further age-based metrics have been made in recent years in the Internet of Things (IoT) domain. The research community’s great interest in age-based metrics for point-to-point wireless communication has led to a multitude of different scenarios being investigated, including energy opti- mization, sensing, and risk-sensitivity. All these scenarios involve a sender-receiver pair and revolve around finding appropriate times for the sender to communicate status updates to the receiver. We propose a unified and modular framework that represents the aforementioned options in various combinations and enables transferring solutions developed for specific cases to a variety of scenarios. We generalize an existing optimization approach, which decides to transmit based on a threshold for the age-based metric, using this framework. We develop a unified and extended Q-learning-based algorithm with mechanisms to learn suitable solutions for all scenarios derived from our framework. These mechanisms accelerate the learning process and result in improved algorithmic performance compared to traditional Q-learning. Furthermore, we demonstrate the effectiveness of our solution in numerical simulations. Our unified solution outperforms several reference schemes in terms of age-based metrics, energy consumption, and risk. We present our findings as a starting point to investigate transmission strategies for more general settings with a more efficient approach.
Typ des Eintrags: | Konferenzveröffentlichung |
---|---|
Erschienen: | 2023 |
Autor(en): | De Sombre, Wanja ; Marques, Felipe ; Pyttel, Friedrich ; Ortiz Jimenez, Andrea Patricia ; Klein, Anja |
Art des Eintrags: | Bibliographie |
Titel: | A Unified Approach to Learn Transmission Strategies Using Age-Based Metrics in Point-to-Point Wireless Communication |
Sprache: | Englisch |
Publikationsjahr: | 4 Dezember 2023 |
Kollation: | 6 Seiten |
Veranstaltungstitel: | 2023 IEEE Global Communications Conference |
Veranstaltungsort: | Kuala Lumpur, Malaysia |
Veranstaltungsdatum: | 04.-08.12.2023 |
Kurzbeschreibung (Abstract): | Based on the Age of Information as an optimization criterion, proposals for further age-based metrics have been made in recent years in the Internet of Things (IoT) domain. The research community’s great interest in age-based metrics for point-to-point wireless communication has led to a multitude of different scenarios being investigated, including energy opti- mization, sensing, and risk-sensitivity. All these scenarios involve a sender-receiver pair and revolve around finding appropriate times for the sender to communicate status updates to the receiver. We propose a unified and modular framework that represents the aforementioned options in various combinations and enables transferring solutions developed for specific cases to a variety of scenarios. We generalize an existing optimization approach, which decides to transmit based on a threshold for the age-based metric, using this framework. We develop a unified and extended Q-learning-based algorithm with mechanisms to learn suitable solutions for all scenarios derived from our framework. These mechanisms accelerate the learning process and result in improved algorithmic performance compared to traditional Q-learning. Furthermore, we demonstrate the effectiveness of our solution in numerical simulations. Our unified solution outperforms several reference schemes in terms of age-based metrics, energy consumption, and risk. We present our findings as a starting point to investigate transmission strategies for more general settings with a more efficient approach. |
Freie Schlagworte: | Open6GHub, emergenCITY, emergenCITY_KOM |
Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Kommunikationstechnik DFG-Sonderforschungsbereiche (inkl. Transregio) DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > emergenCITY DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > C: Kommunikationsmechanismen DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > C: Kommunikationsmechanismen > Teilprojekt C1 : Netzzentrische Sicht |
Hinterlegungsdatum: | 18 Jan 2024 12:38 |
Letzte Änderung: | 18 Jan 2024 12:38 |
PPN: | |
Export: | |
Suche nach Titel in: | TUfind oder in Google |
![]() |
Frage zum Eintrag |
Optionen (nur für Redakteure)
![]() |
Redaktionelle Details anzeigen |