As the Internet of Things (IoT)/machine-to-machine market is rapidly growing, a special role is expected to be played by satellite communications in that they offer ubiquitous coverage and therefore enable typical monitoring, telemetry, and control services also in areas with a poor terrestrial infrastructure. In this respect, the case of massive IoT devices deployment calls for random access solutions, which have been long analyzed by the scientific satellite community in the last ten years. This article further elaborates on the relation between the normalized offered load and the achievable performance in terms of packet loss rate, which was not much addressed so far at high loads. The proposed theoretical framework has been validated through extensive simulation campaigns, which show an excellent match at different loads and number of interfering packets configurations, by significantly improving the results achievable through other existing theoretical frameworks.
A Statistical Framework for Performance Analysis of Diversity Framed Slotted Aloha With Interference Cancellation
Gotta A;
2020
Abstract
As the Internet of Things (IoT)/machine-to-machine market is rapidly growing, a special role is expected to be played by satellite communications in that they offer ubiquitous coverage and therefore enable typical monitoring, telemetry, and control services also in areas with a poor terrestrial infrastructure. In this respect, the case of massive IoT devices deployment calls for random access solutions, which have been long analyzed by the scientific satellite community in the last ten years. This article further elaborates on the relation between the normalized offered load and the achievable performance in terms of packet loss rate, which was not much addressed so far at high loads. The proposed theoretical framework has been validated through extensive simulation campaigns, which show an excellent match at different loads and number of interfering packets configurations, by significantly improving the results achievable through other existing theoretical frameworks.File | Dimensione | Formato | |
---|---|---|---|
prod_444593-doc_159860.pdf
Open Access dal 02/05/2022
Descrizione: TAES__Statistical_Framework_for_Performance_Analysis_of_Diversity_Framed_Slotted_Aloha_with_Interference_Cancellation
Tipologia:
Versione Editoriale (PDF)
Dimensione
1.56 MB
Formato
Adobe PDF
|
1.56 MB | Adobe PDF | Visualizza/Apri |
prod_444593-doc_159877.pdf
Open Access dal 02/05/2022
Descrizione: TAES__Statistical_Framework_for_Performance_Analysis_of_Diversity_Framed_Slotted_Aloha_with_Interference_Cancellation
Tipologia:
Versione Editoriale (PDF)
Dimensione
2.38 MB
Formato
Adobe PDF
|
2.38 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.