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 |