Chapter Transport Protocol Performance and Impact on QoS while on the Move in Current and Future Low Latency Deployments
Transport protocols and mobile networks have evolved independently leading to a lack of adaptability and quality of service (QoS) degradation while running under the variability circumstances present in cellular access. This chapter evaluates the performance of state-of-the-art transmission control...
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| Format: | Online |
| Language: | English |
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InTechOpen
2021
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| Online Access: | ONIX_20210602_10.5772/intechopen.71779_394 |
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| author | Liberal, Fidel Oscar Fajardo, Jose Atxutegi, Eneko |
| author_browse | Atxutegi, Eneko Liberal, Fidel Oscar Fajardo, Jose |
| author_facet | Liberal, Fidel Oscar Fajardo, Jose Atxutegi, Eneko |
| author_sort | Liberal, Fidel |
| collection | Directory of Open Access Books |
| description | Transport protocols and mobile networks have evolved independently leading to a lack of adaptability and quality of service (QoS) degradation while running under the variability circumstances present in cellular access. This chapter evaluates the performance of state-of-the-art transmission control protocol (TCP) implementations in challenging mobility scenarios under 4G latencies and low delays that model the proximity service provisioning of forthcoming 5G networks. The evaluation is focused on selecting the most appropriate TCP flavor for each scenario taking into account two metrics: (1) the goodput-based performance and (2) a balanced performance metric that includes parameters based on goodput, delay and retransmitted packets. The results show that mobility scenarios under 4G latencies require more aggressive TCP solutions in order to overcome the high variability in comparison with low latency conditions. Bottleneck Bandwidth and Round-Trip Time-RTT (BBR) provides better scalability than others and Illinois is more capable of sustaining the goodput with big variability between consecutive samples. Besides, CUBIC performs better in lower available capacity scenarios and regarding the balanced metric. In reduced end-to-end latencies, the most suitable congestion control algorithms (CCAs) to maximize the goodput are NewReno (low available capacity) and CUBIC (high available capacity) when moving with continuous capacity increases. Additionally, BBR shows a balanced and controlled behavior in most of the scenarios. |
| format | Online |
| id | doab-20.500.12854ir-70617 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | InTechOpen |
| publisherStr | InTechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-706172025-02-02T07:25:25Z Chapter Transport Protocol Performance and Impact on QoS while on the Move in Current and Future Low Latency Deployments Liberal, Fidel Oscar Fajardo, Jose Atxutegi, Eneko transport protocols, performance, mobility, 4G, low latency, 5G thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications Transport protocols and mobile networks have evolved independently leading to a lack of adaptability and quality of service (QoS) degradation while running under the variability circumstances present in cellular access. This chapter evaluates the performance of state-of-the-art transmission control protocol (TCP) implementations in challenging mobility scenarios under 4G latencies and low delays that model the proximity service provisioning of forthcoming 5G networks. The evaluation is focused on selecting the most appropriate TCP flavor for each scenario taking into account two metrics: (1) the goodput-based performance and (2) a balanced performance metric that includes parameters based on goodput, delay and retransmitted packets. The results show that mobility scenarios under 4G latencies require more aggressive TCP solutions in order to overcome the high variability in comparison with low latency conditions. Bottleneck Bandwidth and Round-Trip Time-RTT (BBR) provides better scalability than others and Illinois is more capable of sustaining the goodput with big variability between consecutive samples. Besides, CUBIC performs better in lower available capacity scenarios and regarding the balanced metric. In reduced end-to-end latencies, the most suitable congestion control algorithms (CCAs) to maximize the goodput are NewReno (low available capacity) and CUBIC (high available capacity) when moving with continuous capacity increases. Additionally, BBR shows a balanced and controlled behavior in most of the scenarios. 2021-02-10T12:58:18Z 2021-06-02T10:11:16Z 2018 chapter ONIX_20210602_10.5772/intechopen.71779_394 https://library.oapen.org/handle/20.500.12657/49280 https://directory.doabooks.org/handle/20.500.12854/70617 eng open access image/jpeg image/jpeg image/jpeg n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/49280/1/57683.pdf https://library.oapen.org/bitstream/20.500.12657/49280/1/57683.pdf https://library.oapen.org/bitstream/20.500.12657/49280/1/57683.pdf InTechOpen 10.5772/intechopen.71779 10.5772/intechopen.71779 035ecc65-6737-43cf-a13a-6bdf67ce01f4 open access |
| spellingShingle | transport protocols, performance, mobility, 4G, low latency, 5G thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications Liberal, Fidel Oscar Fajardo, Jose Atxutegi, Eneko Chapter Transport Protocol Performance and Impact on QoS while on the Move in Current and Future Low Latency Deployments |
| title | Chapter Transport Protocol Performance and Impact on QoS while on the Move in Current and Future Low Latency Deployments |
| title_full | Chapter Transport Protocol Performance and Impact on QoS while on the Move in Current and Future Low Latency Deployments |
| title_fullStr | Chapter Transport Protocol Performance and Impact on QoS while on the Move in Current and Future Low Latency Deployments |
| title_full_unstemmed | Chapter Transport Protocol Performance and Impact on QoS while on the Move in Current and Future Low Latency Deployments |
| title_short | Chapter Transport Protocol Performance and Impact on QoS while on the Move in Current and Future Low Latency Deployments |
| title_sort | chapter transport protocol performance and impact on qos while on the move in current and future low latency deployments |
| topic | transport protocols, performance, mobility, 4G, low latency, 5G thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications |
| topic_facet | transport protocols, performance, mobility, 4G, low latency, 5G thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications |
| url | ONIX_20210602_10.5772/intechopen.71779_394 |
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