Fairness analysis of throughput and delay in WLAN environments with channel diversities

Wang, Chiapin; Lo, Hao Kai; Fang, Shih Hau

doi:10.1186/1687-1499-2011-42

Cited by 13 publications

(14 citation statements)

References 28 publications

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“…From the simulation results, we demonstrate the effectiveness of our algorithm to provide per-flow fairness between downlink and uplink traffics, and further to provide weighted fairness according to users' bandwidth requirements. The IEEE 802.11 simulation model was built based on our analytical approach [31] which has been developed by extending a verified two-dimensional Markov chain model proposed by Bianchi [3]. However, our analytical model takes into account more realistic factors, including error-prone channels, multiple data rates, the finite retransmission limit, etc.…”

Section: Performance Evaluations and Resultsmentioning

confidence: 99%

Achieving per-flow and weighted fairness for uplink and downlink in IEEE 802.11 WLANs

Wang

2012

J Wireless Com Network

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In this article, we investigate a fairness issue between uplink and downlink flows in IEEE 802.11 Wireless Local Area Networks (WLANs). We propose a cross-layer adaptive algorithm which dynamically adjusts the minimum contention window size of access point according to the amount of downlink users and channel conditions to achieve per-flow fairness. In case that uplink and downlink transmissions are with different bandwidth demands for various applications, our algorithm can efficiently find the optimal minimum contention window size which provides weighted fairness based on their resource requirements. The simulation results demonstrate that our scheme can effectively provide both per-flow fairness and weighted fairness in a varying WLAN environment.

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Section: Performance Evaluations and Resultsmentioning

confidence: 99%

Achieving per-flow and weighted fairness for uplink and downlink in IEEE 802.11 WLANs

Wang

2012

J Wireless Com Network

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“…The performance of the IEEE 802.11 DCF scheme has been extensively studied in the literature using different methods and simplifying assumptions. Because of the lack of a comprehensive model, this performance analysis has been going on up to now . Bianchi's 2D Markov chain model is the first and mostly used one (because of its simplicity) describing the BEB mechanism of DCF.…”

Section: Related Pieces Of Workmentioning

confidence: 99%

“…Most of the models have extended the Bianchi's model to account for other parameters and situations, such as nonsaturated traffic and finite buffer size , finite retransmission attempts , error‐prone channel , channel capture , hidden terminal , and improving the accuracy of the model in predicting performance metrics by considering backoff freezing and so on . From a traffic point of view, most papers assume the saturation condition; each node always has a packet waiting to be transmitted . This can be considered as the worst‐case scenario that simplifies the network analysis and also results in an upper (lower) bound estimation about the normal/noncongested situation of the network delay (throughput).…”

Section: Related Pieces Of Workmentioning

confidence: 99%

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A comprehensive DCF performance analysis in noisy industrial wireless networks

Maadani

Motamedi

2014

Int J Communication

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Summary The use of wireless technology in industrial networks is becoming more popular because of its flexibility, reduction of cable cost, and deployment time. Providing an accurate model to study the most important parameters of these networks, the timeliness and reliability, is essential in assessing the network metrics and choosing proper protocol settings. The Institute of Electrical and Electronics Engineers (IEEE) 802.11 is a common and established wireless technology, and several analytical models have been proposed to assess its performance; however, most of them are accurate only for a limited network situation, especially data networks that have large packet payloads and are used at high signal to noise ratios, and cannot be applied to study the performance of industrial networks that have short packet lengths and are used in harsh and noisy environments. In this paper, a novel three‐dimensional discrete‐time Markov chain model has been proposed for the IEEE 802.11‐based industrial wireless networks using the distributed coordination function as the medium access control mechanism in the worst‐case saturated traffic. It considers both causes of the backoff freezing: busy channel and the successive interframe space waiting time. In this way, it provides a much more accurate estimation of the channel access and error probabilities, resulting in a more accurate network parameter calculation. Also, based on the proposed model, a comprehensive packet delay analysis, including average, jitter, and cumulative distribution function, has been provided for the near 100% reliable industrial scenario and error‐prone channel condition, which in comparison with similar pieces of work provides much more accurate results. Copyright © 2014 John Wiley & Sons, Ltd.

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“…The drawback of these solutions basically lies in their cross-layer design. The references [32] and [33] study the unfairness problem between uplink and downlink flows whereas [34] investigates fairness in terms of throughput and packet delays among users with diverse channel conditions due to the mobility and fading effects in WLANs.…”

Section: Related Workmentioning

confidence: 99%

Running Multiple Instances of the Distributed Coordination Function for Air-Time Fairness in Multi-Rate WLANs

Yazıcı

Akar

2013

IEEE Trans. Commun.

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Abstract-Conventional multi-rate IEEE 802.11 Wireless LANs (WLANs) are associated with the so-called performance anomaly to describe the phenomenon of high bit rate nodes being dragged down by slower nodes. This anomaly is known to be an impediment to obtaining high cumulative throughputs despite the employment of effective link adaptation mechanisms. To cope with the performance anomaly, air-time fairness has been proposed as an alternative to throughput fairness, the latter being a main characteristic of the IEEE 802.11 Distributed Coordination Function (DCF). In this paper, we propose a novel distributed air-time fair MAC (Medium Access Control) without having to change the operation of the conventional DCF. In the proposed MAC, each node in the system runs multiple instances of the conventional DCF back-off algorithm where the number of DCF instances for the nodes can be chosen in a distributed manner. Both analytical and simulation-based results are provided to validate the effectiveness of the proposed air-time fair MAC.

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Fairness analysis of throughput and delay in WLAN environments with channel diversities

Cited by 13 publications

References 28 publications

Achieving per-flow and weighted fairness for uplink and downlink in IEEE 802.11 WLANs

Achieving per-flow and weighted fairness for uplink and downlink in IEEE 802.11 WLANs

A comprehensive DCF performance analysis in noisy industrial wireless networks

Running Multiple Instances of the Distributed Coordination Function for Air-Time Fairness in Multi-Rate WLANs

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