Active Queue Management for Reducing Downlink Delays in WiMAX

Lakkakorpi, Jani; Sayenko, Alexander; Karhula, Juha; Alanen, Olli; Moilanen, Jani

doi:10.1109/vetecf.2007.81

Cited by 18 publications

(9 citation statements)

References 10 publications

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“…AQM can also be applied at the WiMAX BS DL queues, where it can be done per connection. We have shown good results (considerable reduction in delay) on this in [9].…”

Section: A Differentiated Servicesmentioning

confidence: 69%

Backhaul as a Bottleneck in IEEE 802.16e Networks

Lakkakorpi

Sayenko

2008

IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference

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In this paper, we assume that the bottleneck in IEEE 802.16e networks is not necessarily the air interface but it can sometimes be the backhaul, too, since overprovisioning is not always feasible. Our simulations show that applying Differentiated Services and Active Queue Management on the bottleneck links as well as taking the bottleneck link load into account in connection admission control decisions leads into more efficient use of the scarce backhaul capacity.

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“…AQM can also be applied at the WiMAX BS DL queues, where it can be done per connection. We have shown good results (considerable reduction in delay) on this in [9].…”

Section: A Differentiated Servicesmentioning

confidence: 69%

Backhaul as a Bottleneck in IEEE 802.16e Networks

Lakkakorpi

Sayenko

2008

IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference

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“…The active queue management proposed in (Lakkakorpi et al, 2007) does not give solutions to packet drops.…”

Section: Jcsmentioning

confidence: 99%

“…The presented active queue management scheme operates based on channel conditions as well as queue lengths. Lakkakorpi et al (2007) have studied the end-to-end performance of different applications in WiMAX network with and without Active Queue Management (AQM). Their AQM technique helps in minimizing the queuing delay caused by Base Station Downlink (BSDL) buffering.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy Based Dynamic Buffer Management in Wimax 16m Networks

Karunkuzhali

Tomar²

2012

Journal of Computer Science

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In WiMAX 16m networks, buffer allocation is the major problem to be handled for offering Quality of Service (QoS). The lack of buffers increases the packet loss and queuing delay. In this study we propose a fuzzy based dynamic buffer management in WiMAX 16 m network. The Base Station (BS) estimates the parameters such as number of user requests, flow rate, queue length and received signal strength for each user and updates them periodically. When a request arrives at BS, buffer allocation factor is estimated by applying fuzzy logic over these parameters. Then the flow request with high buffer allocation factor is admitted first and rest of the flow requests waits in a queue. Upon new request arrival, if its buffer allocation factor is low, the request is rejected. Otherwise, the pending request packet in the queue is emptied on analyzing their channel condition and buffer is allocated for new request. By simulation results, we show that the proposed technique reduces packet losses.

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“…More recently, Adams [6] *Correspondence: ozturk@ee.bilkent.edu.tr Electrical and Electronics Engineering Department, Bilkent University, Bilkent, Ankara 06800, Turkey presents a comprehensive survey of AQM along with an elaborate classification and comparison of its proposed variants and its use in the wireless context. Lakkakorpi et al [7] conclude that the standards-based Worldwide Interoperability for Microwave Access (WiMAX) technology can indeed benefit from AQM in reducing its downlink latency, and we use the WiMAX physical layer in the numerical experiments of this paper.…”

Section: Introductionmentioning

confidence: 99%

Workload-dependent queuing model of an AQM-controlled wireless router with TCP traffic and its application to PER-based link adaptation

Öztürk

Akar

2014

J Wireless Com Network

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We propose a novel workload-dependent queuing model for a wireless router link which employs active queue management (AQM) and is offered with a number of persistent Transmission Control Protocol (TCP) flows. As opposed to existing work that focus only on the average queue occupancy as the performance metric of interest, the proposed analytical method obtains the more information-bearing steady-state queue occupancy distribution of the wireless AQM link. Simulations are performed to demonstrate the accuracy of the proposed model in both wireline and wireless scenarios. With the intention of maximizing TCP throughput, this analytical method is used to obtain guidelines for setting the target wireless packet error rate (PER) for a PER-based traffic-agnostic link adaptation scheme.

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Active Queue Management for Reducing Downlink Delays in WiMAX

Cited by 18 publications

References 10 publications

Backhaul as a Bottleneck in IEEE 802.16e Networks

Backhaul as a Bottleneck in IEEE 802.16e Networks

Fuzzy Based Dynamic Buffer Management in Wimax 16m Networks

Workload-dependent queuing model of an AQM-controlled wireless router with TCP traffic and its application to PER-based link adaptation

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