Datensatz Zitierlink: 
http://hdl.handle.net/20.500.12708/139587
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Titel: 
Quality of Service Aware Scheduling in Mixed Traffic Wireless Networks
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Zitat: 
Shiyahin, A., Schwarz, S., & Rupp, M. (2022). Quality of Service Aware Scheduling in Mixed Traffic Wireless Networks. In 2022 IEEE 27th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) (pp. 159–165). https://doi.org/10.1109/CAMAD55695.2022.9966904
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Verlags-DOI: 
10.1109/CAMAD55695.2022.9966904
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Publikationstyp: 
Konferenzbeitrag - Full-Paper Contribution
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Sprache: 
Englisch
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Autor_innen: 
Shiyahin, Areen 
Schwarz, Stefan 
Rupp, Markus 
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Organisations­einheit: 
E389-02 - Forschungsbereich Wireless Communications 
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Erschienen in: 
2022 IEEE 27th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) 
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ISBN: 
978-1-6654-6129-0
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Datum (veröffentlicht): 
8-Dez-2022
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Veranstaltungs­name: 
2022 IEEE 27th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) 
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Veranstaltungs­zeitraum: 
2-Nov-2022 - 3-Nov-2022
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Veranstaltungs­ort: 
Paris, Frankreich
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Umfang: 
7
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Peer Reviewed: 
Ja
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Keywords: 
scheduling; wireless communications; quality of service
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Abstract: 
When considering a traffic mix in a wireless net-work, the scheduler needs to be aware of the type of user packets and the state of each user buffer in order to satisfy the requirements of users. In such networks, the requirements vary in terms of latency, throughput, and reliability, thus a trade-off is required to enhance the overall network performance. Therefore, a Quality of Service Aware Scheduler (QAS) is proposed with tuning parameters to achieve a balanced Quality of Service (QoS) delivery. Moreover, moderate fairness is imposed among full buffer users that are assumed to have an infinite amount of data in the packets buffer. An open-source modeling tool is used to solve the Resource Blocks (RBs) optimization problem of QAS. System-level simulations are performed to investigate the performance of the proposed scheduler and compare it to the benchmark schedulers namely Round Robin (RR) and Best Channel Quality Indicator (CQI).
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Forschungs­schwerpunkte: 
Telecommunication: 100%
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Wissenschafts­zweig: 
2020 - Elektrotechnik, Elektronik, Informationstechnik: 100%
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Enthalten in den Sammlungen:
Conference Paper

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