An AQM based congestion control for eNB RLC in 4G/LTE network

Paul, Anup Kumar; Kawakami, Hidehiko; Tachibana, Akira; Hasegawa, Teruyuki

doi:10.1109/ccece.2016.7726792

Cited by 27 publications

(24 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…An AQM tuned for cellular networks is proposed in [15] and this is a variation of RED and it is implemented in the RLC layer. The authors change the control function from linear function to non-linear and simulation results show that it outperforms RED from the aspect of end-to-end average delay.…”

Section: B State-of-the-artmentioning

confidence: 99%

Channel quality aware active queue management in cellular networks

Dai

Wijeratne

Chen

et al. 2017

2017 9th Computer Science and Electronic Engineering (CEEC)

View full text Add to dashboard Cite

Queue management plays an important role in the performance of IP based networks and cellular networks in particular where large buffers are often deployed in order to absorb bursts resulting from the dynamic nature of the radio channel. Long standing queues building up in large buffers leads to "Bufferbloat", degrading the performance especially for delay-sensitive applications while small buffers may lower the link utilization. This paper proposes a novel AQM algorithm tailored to cellular networks, mainly by utilizing the Channel Quality Indicator (CQI) periodically reported by user equipment, in order to mitigate Bufferbloat and maintain acceptable levels of performance. Simulation results show that the proposed algorithm reduces the average queuing delay of packets for each user by 40% on average with TCP traffic compared with the CoDel algorithm which has recently become popular.

show abstract

Section: B State-of-the-artmentioning

confidence: 99%

Channel quality aware active queue management in cellular networks

Dai

Wijeratne

Chen

et al. 2017

2017 9th Computer Science and Electronic Engineering (CEEC)

View full text Add to dashboard Cite

show abstract

“…Once the traffic load changes, the effect of congestion management will be seriously affected [10][11][12]. In order to improve the performance of the RED algorithm, many scholars proposed improved algorithms based on RED, such as ARED [13], TRED [14], MRED [15], URED [16], and Smart RED [17]. These RED-based algorithms overcome the shortcomings of RED to some extent.…”

Section: Introductionmentioning

confidence: 99%

“…ARED [13] dynamically adjusts the parameter of maximum drop probability (maxp) to enhance the adaptability of algorithm. TRED [14], URED [16] and Smart RED [17] optimize the drop curve to achieve a better congestion control performance. For instance, URED uses a concave curve as its dropping curve when the average queue size is between min th and (min th + max th )/2.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Queue Management Based On the Change Trend of Queue Size

Tang¹,

Tan²

2019

KSII TIIS

View full text Add to dashboard Cite

Most active queue management algorithms manage network congestion based on the size of the queue but ignore the network environment which makes queue size change. It seriously affects the response speed of the algorithm. In this paper, a new AQM algorithm named CT-AQM (Change Trend-Adaptive Queue Management) is proposed. CT-AQM predicts the change trend of queue size in the soon future based on the change rate of queue size and the network environment, and optimizes its dropping function. Simulation results indicate that CT-AQM scheme has a significant improvement in loss-rate and throughput.

show abstract

“…The work presented in this paper is an improvement and extension of our preliminary version [7] with the following new contributions:…”

Section: Introductionmentioning

confidence: 99%

“…• In this paper, we have extended our idea Smart RED (SmRED) [7] to SmRED-i, where packet dropping probability function is different in accordance with the value of i = 2, 3, 4 . .…”

Section: Introductionmentioning

confidence: 99%

Effect of AQM-Based RLC Buffer Management on the eNB Scheduling Algorithm in LTE Network

et al. 2017

Self Cite

View full text Add to dashboard Cite

Abstract:With the advancement of the Long-Term Evolution (LTE) network and smart-phones, most of today's internet content is delivered via cellular links. Due to the nature of wireless signal propagation, the capacity of the last hop link can vary within a short period of time. Unfortunately, Transmission Control Protocol (TCP) does not perform well in such scenarios, potentially leading to poor Quality of Service (QoS) (e.g., end-to-end throughput and delay) for the end user. In this work, we have studied the effect of Active Queue Management (AQM) based congestion control and intra LTE handover on the performance of different Medium Access Control (MAC) schedulers with TCP traffic by ns3 simulation. A proper AQM design in the Radio Link Control (RLC) buffer of eNB in the LTE network leads to the avoidance of forced drops and link under-utilization along with robustness to a variety of network traffic-loads. We first demonstrate that the original Random Early Detection (RED) linear dropping function cannot cope well with different traffic-load scenarios. Then, we establish a heuristic approach in which different non-linear functions are proposed with one parameter free to define. In our simulations, we demonstrate that the performance of different schedulers can be enhanced via proper dropping function.

show abstract

An AQM based congestion control for eNB RLC in 4G/LTE network

Cited by 27 publications

References 10 publications

Channel quality aware active queue management in cellular networks

Channel quality aware active queue management in cellular networks

Adaptive Queue Management Based On the Change Trend of Queue Size

Effect of AQM-Based RLC Buffer Management on the eNB Scheduling Algorithm in LTE Network

Contact Info

Product

Resources

About