Robot Rover Intelligence Offloading Through a 5G Network

Network Slicing (NS) and Software Defined Networking (SDN) are network virtualization technologies that optimize the utilization of infrastructure and resource allocation to make the Beyond 5G (B5G) network more flexible. The software-defined control in mobile networks, especially in the Radio Access Network (RAN) — enables a broader range of use cases and new services, as well as easier future evolution via programmability. At the same time, developing a software-defined RAN (SD-RAN) is difficult due to the unique nature of the wireless resources to be managed and the strict timing constraints associated with certain key RAN control operations like resource scheduling.This paper explores the scheduling mechanisms that cover both the downlink and the uplink to slash the latency for UltraReliable Low Latency Communications (URLLC) slices even in the situation where the radio resources are being shared among multiple users with different scheduling algorithms such as round-robin, fair proportion, and maximum throughput. In addition, this paper demonstrates the effect of static as well as dynamic resource allocation on the key performance indicators (i.e., latency and throughput) of individual users under various network loads and network configurations.

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Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1109/icei64305.2024.10912111
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.35
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Robot Rover Intelligence Offloading Through a 5G Network

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IoT and Edge/Fog Computing
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article

Robot Rover Intelligence Offloading Through a 5G Network

Vishakha Shukla, Ashit Subudhi, Koteswararao Kondepu, Luca Valcarenghi, P. Castoldi
article en
1 citations

Abstract

Network Slicing (NS) and Software Defined Networking (SDN) are network virtualization technologies that optimize the utilization of infrastructure and resource allocation to make the Beyond 5G (B5G) network more flexible. The software-defined control in mobile networks, especially in the Radio Access Network (RAN) — enables a broader range of use cases and new services, as well as easier future evolution via programmability. At the same time, developing a software-defined RAN (SD-RAN) is difficult due to the unique nature of the wireless resources to be managed and the strict timing constraints associated with certain key RAN control operations like resource scheduling.This paper explores the scheduling mechanisms that cover both the downlink and the uplink to slash the latency for UltraReliable Low Latency Communications (URLLC) slices even in the situation where the radio resources are being shared among multiple users with different scheduling algorithms such as round-robin, fair proportion, and maximum throughput. In addition, this paper demonstrates the effect of static as well as dynamic resource allocation on the key performance indicators (i.e., latency and throughput) of individual users under various network loads and network configurations.

Scuola Superiore Sant'Anna (IT), Indian Institute of Technology Dharwad (IN)
Affordable and clean energy
Openalex Percentile: Top 33%
IoT and Edge/Fog Computing
0.35
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