NexGen D-TCP: Next Generation Dynamic TCP Congestion Control Algorithm

Kanagarathinam, Madhan Raj; Singh, Sukhdeep; Sandeep, Irlanki; Kim, Hanseok; Maheshwari, Mukesh Kumar; Hwang, Jaehyun; Roy, Abhishek; Saxena, Navrati

doi:10.1109/access.2020.3022284

Cited by 23 publications

(12 citation statements)

References 51 publications

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“…Among the other TCPs, BBR can attain higher throughputs than loss-based TCPs, as they lose their performance as random packet losses increase in the network. The degradation of different TCPs performance in lossy environments was also proved in [35]. The interesting part of higher throughput for FB-TCP is that it can achieve this value through acceptable RTTs, as seen in Figure 33.…”

Section: Figure30 Average Throughputs For Different Tcpsmentioning

confidence: 78%

“…A thorough analysis and tutorial of this module can be found in [64]. NS3-mmWave is a simulation tool that has been deployed in various researches such as [1], [6], [8], [32], [33], [34], [35]. This module has proven its functionality and can be deployed as a powerful simulation tool for 5G mmWave.…”

Section: Methodology and The Simulation Parametersmentioning

confidence: 99%

“…Another approach called D-TCL (Dynamic-TCP) was proposed in [35]. This protocol's prime aim is to handle the adverse impact of random packet drops in 5G mmWave networks by the appraisal of the at-hand bandwidth.…”

Section: Related Workmentioning

confidence: 99%

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FB-TCP: A 5G mmWave Friendly TCP for Urban Deployments

Poorzare

Calveras

2021

IEEE Access

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5G era opens a new horizon toward communication with new features and capabilities. The new mobile generation comes up with a multi-gigabit per second data rate along with its huge available bandwidths provided by millimeter-wave frequency bands. Dispensing a fully connected world throughout low latency is the supreme aim for 5G networks. However, attaining high-speed, reliable communication is challenging in the new generation, especially in scenarios with numerous obstacles such as the urban one. As the frequency rises, the signal's penetration power declines, which can mislead TCP in adjusting the sending rate because TCP cannot distinguish that a packet drop in a network is due to congestion or other shortcomings of the network such as blockage or random packet drops. This paper proposes a new TCP based on Fuzzy logic, which strives to prevent performance reduction in urban deployments. The Fuzzy rules are implemented in the congestion avoidance phase of the new protocol to adjust the sending rate intelligently and prevent blockage impacts. The ultimate aim of the protocol is to control the sending rate based on the current situation of the network so it can attain the highest possible performance. Moreover, it tries to reach its goal through low latency and keep the average sending rate as small as possible to restrain the buffer exhaustion. The extensive conducted simulations showed that the newly proposed protocol could attain higher performance compared to BBR, HighSpeed, Cubic, and NewReno in terms of throughput, RTT, and sending rate adjustment in the urban scenario.

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Section: Figure30 Average Throughputs For Different Tcpsmentioning

confidence: 78%

Section: Methodology and The Simulation Parametersmentioning

confidence: 99%

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FB-TCP: A 5G mmWave Friendly TCP for Urban Deployments

Poorzare

Calveras

2021

IEEE Access

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“…The highly variable channel conditions in the mmWave band and the lack of the TCP CC algorithm that can completely alleviate the impact of channel fluctuations on CC performance have led the authors in Ref. [ 81 ] to introduce a new Dynamic TCP (D-TCP) CC algorithm ( Table 2 ). D-TCP is an enhanced TCP CC algorithm specifically designed for mmWave 5G networks.…”

Section: Related Work On Tcp CC Algorithms In 5g Mmwave Networkmentioning

confidence: 99%

“…The authors in Ref. [ 81 ] have analysed and compared the performance of the D-TCP with the NewReno, BIC, CUBIC and BBR algorithms using the mmWave ns-3 module ( Table 2 ). The simulations were performed for two different scenarios.…”

Section: Related Work On Tcp CC Algorithms In 5g Mmwave Networkmentioning

confidence: 99%

A Comprehensive Overview of TCP Congestion Control in 5G Networks: Research Challenges and Future Perspectives

Lörincz

Klarin

Ožegović

2021

Sensors

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In today’s data networks, the main protocol used to ensure reliable communications is the transmission control protocol (TCP). The TCP performance is largely determined by the used congestion control (CC) algorithm. TCP CC algorithms have evolved over the past three decades and a large number of CC algorithm variations have been developed to accommodate various network environments. The fifth-generation (5G) mobile network presents a new challenge for the implementation of the TCP CC mechanism, since networks will operate in environments with huge user device density and vast traffic flows. In contrast to the pre-5G networks that operate in the sub-6 GHz bands, the implementation of TCP CC algorithms in 5G mmWave communications will be further compromised with high variations in channel quality and susceptibility to blockages due to high penetration losses and atmospheric absorptions. These challenges will be particularly present in environments such as sensor networks and Internet of Things (IoT) applications. To alleviate these challenges, this paper provides an overview of the most popular single-flow and multy-flow TCP CC algorithms used in pre-5G networks. The related work on the previous examinations of TCP CC algorithm performance in 5G networks is further presented. A possible implementation of TCP CC algorithms is thoroughly analysed with respect to the specificities of 5G networks, such as the usage of high frequencies in the mmWave spectrum, the frequent horizontal and vertical handovers, the implementation of the 5G core network, the usage of beamforming and data buffering, the exploitation of edge computing, and the constantly transmitted always-on signals. Moreover, the capabilities of machine learning technique implementations for the improvement of TCPs CC performance have been presented last, with a discussion on future research opportunities that can contribute to the improvement of TCP CC implementation in 5G networks. This survey paper can serve as the basis for the development of novel solutions that will ensure the reliable implementation of TCP CC in different usage scenarios of 5G networks.

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Congestion control in high‐speed networks using the probabilistic estimation approach

Jamali

Talebi

Fotohi

2021

Int J Communication

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Summary Nowadays, the bulk of Internet traffic uses Transmission Control Protocol (TCP) for reliable transmission. But the standard TCP's performance is very poor in high‐speed networks (HSNs), and hence, the core gigabytes links are usually underutilization. This problem has roots in conservative nature of TCP, especially in its Additive Increase Multiplicative Decrease (AIMD) phase. In other words, since TCP cannot figure out precisely the congestion status of the network, it follows a conservative strategy to keep the network from overwhelming. We believe that precisely congestion estimation in the network can solve this problem by avoiding unnecessary conservation. To this end, this paper proposes an algorithm, which considers packet loss and delay information jointly and employs a probabilistic approach to accurately estimation of congestion status in the network. To examine the proposed scheme performance, extensive simulations have been performed in the NS‐2 environment. Simulation results reveal that the proposed algorithm has better performance than existing algorithms in terms of bottleneck utilization, stability, throughput, and fairness.

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NexGen D-TCP: Next Generation Dynamic TCP Congestion Control Algorithm

Cited by 23 publications

References 51 publications

FB-TCP: A 5G mmWave Friendly TCP for Urban Deployments

FB-TCP: A 5G mmWave Friendly TCP for Urban Deployments

A Comprehensive Overview of TCP Congestion Control in 5G Networks: Research Challenges and Future Perspectives

Congestion control in high‐speed networks using the probabilistic estimation approach

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