Predictive sliding‐mode congestion control for wireless access networks with singular and non‐singular control gain

Khoshnevisan, Ladan; Liu, Xinzhi; Salmasi, Farzad Rajaei

doi:10.1049/iet-cta.2019.1138

Cited by 12 publications

(13 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Accordingly, replacing the unsteady cwnd and EB with the backlog queue contributes to reflect the congestion degree accurately. In addition, the backlog queue adjusts the congestion more smoothly and appropriately than traditional mechanisms that directly halve or even reduce cwnd to 1 to avoid congestion 31 , 32 . The reason is that the limited range of the backlog queue can prevent cwnd from infinitely growing until the true congestion occurs.…”

Section: Backlog Queuementioning

confidence: 99%

TCP-WBQ: a backlog-queue-based congestion control mechanism for heterogeneous wireless networks

Tang

Jiang

Dai

et al. 2022

Sci Rep

View full text Add to dashboard Cite

In heterogeneous wireless networks, random packet loss and high latency lead to conventional TCP variants performing unsatisfactorily in the case of competing communications. Especially on high-latency wireless links, conventional TCP variants are unable to estimate congestion degrees accurately for fine-grained congestion control because of the effects of random packet loss and delay oscillations. This paper proposes a TCP variant at the sender side to identify congestion degrees, namely TCP-WBQ, which quickly responses to the real congestion and effectively shields against random packet loss and oscillations of latency time. The proposed algorithm of congestion control firstly constructs a backlog-queue model based on the dynamics of the congestion window, and deduces the two bounds of the model which delimit oscillations of the backlog queue for non-congestion and random packet loss respectively. TCP-WBQ detects congestion degrees more accurately and thus implements the corresponding schemes of adjusting the congestion window, maintaining a tradeoff between high throughputs and congestion avoidance. The comprehensive simulations show that TCP-WBQ works efficiently in bandwidth utilization with single and multiple bottleneck scenarios, and achieves high performance and competitive fairness in heterogeneous wireless networks.

show abstract

Section: Backlog Queuementioning

confidence: 99%

TCP-WBQ: a backlog-queue-based congestion control mechanism for heterogeneous wireless networks

Tang

Jiang

Dai

et al. 2022

Sci Rep

View full text Add to dashboard Cite

show abstract

“…As a result, the control procedure should overcome the input delay in a nonaffine system with delayed coefficients and constraint input signal. To this aim, at first a R 0 -time units ahead predictor of the average window size (W) and the average queue length (q), which are respectively illustrated by P W and P q , would be designed in order to satisfy the following equations 36 :…”

Section: Tcp/aqm Network Modelmentioning

confidence: 99%

“…Theorem 2. With the sliding surface (36), the stability of the compensated system ( 33) is guaranteed and the congestion occurrence is prevented by controlling the queue length to the desired value (q ref ) exponentially fast if the following nonlinear control signal and adaptive control laws are proposed.…”

Section: Adaptive Fractional Order Predictive Sliding Mode Congestion...mentioning

confidence: 99%

Adaptive fractional order predictive sliding mode control for congestion control of wireless access networks

Khoshnevisan

Liu

2022

Intl J Robust & Nonlinear

Self Cite

View full text Add to dashboard Cite

This article studies congestion control of wireless access networks. In a wireless access network, it is necessary to design a robust active queue management (RAQM) technique to control congestion occurrence and to make the network robust simultaneously against some issues in the wireless link aspects, such as packet error rate (PER) and fading effects. On the other hand, a network is often described by a nonlinear model, in which the delayed packet drop probability is assumed as the input signal. So in this article, a RAQM technique is proposed based on an adaptive fractional order predictive sliding mode control (AFOPSMC) method, through which the following are achieved: (1) the stability of the nonlinear system with input delay is assured, (2) the congestion occurrence is prevented by controlling the queue measurement to the desired value, (3) the robustness against the external disturbances is achieved, and (4) the input signal obtained by the controller is limited between 0 and 1. In contrast to most recently published papers where input delay is ignored in the system description and input saturation is achieved through designing parameters, this article at first proposes a predictor to eliminate the input delay and then designs a compensated system to deal with the input signal constraint. Furthermore, the chattering phenomena, as a commonly caused issue in the sliding mode control, is eliminated based on the adaptive laws designed for the controller parameters. The theoretical results are validated and compared with some other related protocols through numerical simulations using Simulink and professional network simulator 2 (NS2).

show abstract

“…Presently, complex network is a systematic and scientific research method and is widely used in the medical field [28] and computer science [29,30]. Additional studies using the method have been performed by Kawazoe et al [31][32][33][34][35][36].…”

Section: Literature Reviewmentioning

confidence: 99%

Analyzing the Characteristics and Evolution of Chinese Enterprises’ Outward Forward Direct Investment Host Country Network

2021

View full text Add to dashboard Cite

With the promulgation of the “Going Global” strategy, Chinese enterprises’ outward forward direct investment (OFDI) moved towards a stage of rapid development. Based on the data concerning projects of Chinese enterprises, this paper establishes a network of OFDI host countries with the industry as the media and analyzes the network and its evolution characteristics by using the complex network method. Results show that the number of network nodes is increasing, and the edges between communities are greater, and the number of countries along the Belt and Road route is increasing. The network is a so-called small-world network. To reduce investment risks, it is necessary to identify the key nodes in the network. Based on the centrality of key nodes in complex networks, the improved “scatter degree” method is used to evaluate the importance of each host node. Results demonstrate that the United States and Australia are the most important countries for Chinese enterprises to invest overseas, followed by Brazil, Canada, Russia, Indonesia, and the United Kingdom (UK). Excluding the UK, all other countries are resource-rich. Thus, it can be seen that the FDI of Chinese enterprises is mainly resource-based investment.

show abstract

Predictive sliding‐mode congestion control for wireless access networks with singular and non‐singular control gain

Cited by 12 publications

References 35 publications

TCP-WBQ: a backlog-queue-based congestion control mechanism for heterogeneous wireless networks

TCP-WBQ: a backlog-queue-based congestion control mechanism for heterogeneous wireless networks

Adaptive fractional order predictive sliding mode control for congestion control of wireless access networks

Analyzing the Characteristics and Evolution of Chinese Enterprises’ Outward Forward Direct Investment Host Country Network

Contact Info

Product

Resources

About