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Evaluating the impact of the Adaptive Data Rate Algorithm in LoRaWAN

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dc.contributor.author Kufakunesu, R
dc.contributor.author Hancke, GP
dc.contributor.author Abu-Mahfouz, Adnan MI
dc.date.accessioned 2024-02-05T10:57:22Z
dc.date.available 2024-02-05T10:57:22Z
dc.date.issued 2023-08
dc.identifier.citation Kufakunesu, R., Hancke, G. & Abu-Mahfouz, A.M. 2023. Evaluating the impact of the Adaptive Data Rate Algorithm in LoRaWAN. http://hdl.handle.net/10204/13570 . en_ZA
dc.identifier.uri http://hdl.handle.net/10204/13570
dc.description.abstract The adoption of 5G technology in Africa has been increasing steadily, with initial emphasis on non-standalone (NSA) architecture to leverage existing 4G investments and accelerate return on investment. The uptake of standalone (SA) 5G has been slower due to technical complexity, handset interoperability, spectrum availability, infrastructure readiness, and other factors. Several institutions in South Africa have established 5G research and development (R&D) testbeds to foster innovation and develop local expertise in 5G and its enabling technologies. When setting up a 5G testbed, adhering to best practices and conducting a comprehensive profiling of the environment is crucial for optimizing network performance. This paper provides a guide for profiling and optimizing the Radio Access Network (RAN) segment within a 5G testbed. Experimental evaluations show that optimizing parameters such as antenna gain, CPU performance, and antenna configuration significantly improves air interface stability, underscoring the importance of RAN optimization for overall network performance in a 5G testbed environment. en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.relation.uri https://www.satnac.org.za/assets/documents/SATNAC_2023_The%20Augmented_Era_Conference_Programme_Digital_v4.pdf en_US
dc.relation.uri https://www.satnac.org.za/proceedings en_US
dc.source Southern Africa Telecommunication Networks and Applications Conference (SATNAC), Champagne Sports Resort, Central Drakensberg, KwaZulu-Natal, South Africa, 27 - 29 August 2023 en_US
dc.subject Adaptive Data Rate en_US
dc.subject Internet of Things en_US
dc.subject IoT en_US
dc.title Evaluating the impact of the Adaptive Data Rate Algorithm in LoRaWAN en_US
dc.type Conference Presentation en_US
dc.description.pages 5 en_US
dc.description.note Paper presented at the Southern Africa Telecommunication Networks and Applications Conference (SATNAC), Champagne Sports Resort, Central Drakensberg, KwaZulu-Natal, South Africa, 27 - 29 August 2023 en_US
dc.description.cluster Next Generation Enterprises & Institution en_US
dc.description.impactarea EDT4IR Management en_US
dc.identifier.apacitation Kufakunesu, R., Hancke, G., & Abu-Mahfouz, A. M. (2023). Evaluating the impact of the Adaptive Data Rate Algorithm in LoRaWAN. http://hdl.handle.net/10204/13570 en_ZA
dc.identifier.chicagocitation Kufakunesu, R, GP Hancke, and Adnan MI Abu-Mahfouz. "Evaluating the impact of the Adaptive Data Rate Algorithm in LoRaWAN." <i>Southern Africa Telecommunication Networks and Applications Conference (SATNAC), Champagne Sports Resort, Central Drakensberg, KwaZulu-Natal, South Africa, 27 - 29 August 2023</i> (2023): http://hdl.handle.net/10204/13570 en_ZA
dc.identifier.vancouvercitation Kufakunesu R, Hancke G, Abu-Mahfouz AM, Evaluating the impact of the Adaptive Data Rate Algorithm in LoRaWAN; 2023. http://hdl.handle.net/10204/13570 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Kufakunesu, R AU - Hancke, GP AU - Abu-Mahfouz, Adnan MI AB - The adoption of 5G technology in Africa has been increasing steadily, with initial emphasis on non-standalone (NSA) architecture to leverage existing 4G investments and accelerate return on investment. The uptake of standalone (SA) 5G has been slower due to technical complexity, handset interoperability, spectrum availability, infrastructure readiness, and other factors. Several institutions in South Africa have established 5G research and development (R&D) testbeds to foster innovation and develop local expertise in 5G and its enabling technologies. When setting up a 5G testbed, adhering to best practices and conducting a comprehensive profiling of the environment is crucial for optimizing network performance. This paper provides a guide for profiling and optimizing the Radio Access Network (RAN) segment within a 5G testbed. Experimental evaluations show that optimizing parameters such as antenna gain, CPU performance, and antenna configuration significantly improves air interface stability, underscoring the importance of RAN optimization for overall network performance in a 5G testbed environment. DA - 2023-08 DB - ResearchSpace DP - CSIR J1 - Southern Africa Telecommunication Networks and Applications Conference (SATNAC), Champagne Sports Resort, Central Drakensberg, KwaZulu-Natal, South Africa, 27 - 29 August 2023 KW - Adaptive Data Rate KW - Internet of Things KW - IoT LK - https://researchspace.csir.co.za PY - 2023 T1 - Evaluating the impact of the Adaptive Data Rate Algorithm in LoRaWAN TI - Evaluating the impact of the Adaptive Data Rate Algorithm in LoRaWAN UR - http://hdl.handle.net/10204/13570 ER - en_ZA
dc.identifier.worklist 27496 en_US


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