Efficient data collection from a multitude of Internet of Things (IoT) devices is crucial for various applications, yet existing solutions often struggle with minimizing access delay and Age of Information (AoI), especially when managing multiple simultaneous transmissions and access strategies. This challenge becomes increasingly critical as IoT deployments continue to expand, demanding robust mechanisms for handling diverse traffic scenarios. In this study, we propose a novel approach leveraging Successive Interference Cancellation (SIC) based on adaptive and fixed parameters schemes to address these limitations. By analyzing both throughput and AoI along with access delay, we demonstrate the effectiveness of our adaptive approach compared to the fixed approach, particularly in scenarios featuring heavy and light traffic. Our findings highlight the pivotal role of adaptive approaches in optimizing data collection processes in IoT ecosystems, with a particular focus on minimizing access delay, AoI, and improving spectral efficiency.

SIC-based random multiple access protocol: fixed or adaptive approach / Razzaque, Asmad Bin Abdul; Baiocchi, Andrea. - (2024), pp. 1-6. (Intervento presentato al convegno 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall) tenutosi a Washington, DC; USA) [10.1109/VTC2024-Fall63153.2024.10757508].

SIC-based random multiple access protocol: fixed or adaptive approach

Razzaque, Asmad Bin Abdul;Baiocchi, Andrea
2024

Abstract

Efficient data collection from a multitude of Internet of Things (IoT) devices is crucial for various applications, yet existing solutions often struggle with minimizing access delay and Age of Information (AoI), especially when managing multiple simultaneous transmissions and access strategies. This challenge becomes increasingly critical as IoT deployments continue to expand, demanding robust mechanisms for handling diverse traffic scenarios. In this study, we propose a novel approach leveraging Successive Interference Cancellation (SIC) based on adaptive and fixed parameters schemes to address these limitations. By analyzing both throughput and AoI along with access delay, we demonstrate the effectiveness of our adaptive approach compared to the fixed approach, particularly in scenarios featuring heavy and light traffic. Our findings highlight the pivotal role of adaptive approaches in optimizing data collection processes in IoT ecosystems, with a particular focus on minimizing access delay, AoI, and improving spectral efficiency.
2024
2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)
adaptation models; vehicular and wireless technologies; interference cancellation; adaptive systems; receivers; performance gain; data collection; throughput; delays; internet of things; massive data collection; multiple access; sic; age of information; access delay
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
SIC-based random multiple access protocol: fixed or adaptive approach / Razzaque, Asmad Bin Abdul; Baiocchi, Andrea. - (2024), pp. 1-6. (Intervento presentato al convegno 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall) tenutosi a Washington, DC; USA) [10.1109/VTC2024-Fall63153.2024.10757508].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1728701
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