An Analytical Model to Study the Packet Loss Burstiness over Wireless Channels

Liu, Fangqin; Fan, Yanfei; Shen, Xuemin; Chen, Lin; Zeng, Rongfei

doi:10.1109/glocom.2010.5683670

Cited by 4 publications

(4 citation statements)

References 15 publications

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“…since e = 0 does not yield any error. Finally, similar to the analysis in [4], the average number of transmissions is We know that each packet retransmission takes L B seconds, where L is the packet length and B is the bandwidth in Hz. Then the average delay due to retransmission is…”

Section: Performance Analysismentioning

confidence: 94%

“…This assures that the channel is mostly in the good state where it occasionally drops to the deep fading state in which error probability is higher. In [4], authors derive an analytical expression using the simplified GE model to ease the analysis, in which they assume that the bit error probability is 0 in the good state, and bit error probability is 1 in the bad state. However, from an information theory perspective, bit error probability can at most be 0.5, as increasing it further actually increases the mutual information.…”

Section: System Modelmentioning

confidence: 99%

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Effect of channel conditions on inventory database update in supply chains

Kocaoglu

Oksuz

Akan

2013

2013 First International Black Sea Conference on Communications and Networking (BlackSeaCom)

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The supply chain optimization is becoming more and more important, and more challenging due to its increased complexity. Companies should properly exploit ICT systems to better keep track of their products. Communication techniques employed in the supply chain should be adaptive to any channel condition to assure continuous reliable operation. In this paper, we investigate the effects of channel conditions and the selected error control technique on the supply chain inventory database update in terms of database error rate and end-to-end delay. We derive the analytical expressions and verify them with extensive simulations and show that channel codes adapting to channel conditions would improve reliability of the inventory database.

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Section: Performance Analysismentioning

confidence: 94%

Section: System Modelmentioning

confidence: 99%

Effect of channel conditions on inventory database update in supply chains

Kocaoglu

Oksuz

Akan

2013

2013 First International Black Sea Conference on Communications and Networking (BlackSeaCom)

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“…(1) B-run and G-run: Considering a communication session where multiple packets are transmitted in the unit of bits over the wireless channel, we define a B-run as a maximum-length run (or sequence) of consecutive bits in the bad state and a G-run as a maximum-length run of consecutive bits in † Although the GE model can capture the bit error statistics with sufficient accuracy in Rayleigh fading channels, its effectiveness and accuracy in evaluating the packet error performance still remain an open problem. ‡ In [10], we have derived the packet loss rate in the simplified Gilbert channel (i.e., h g D 0 and h b D 1) and on the assumption of p > q.…”

Section: Correlation Analysis Of Packet Lossesmentioning

confidence: 99%

“…‡ ‡In , we have derived the packet loss rate in the simplified Gilbert channel (i.e., h g = 0 and h b = 1) and on the assumption of p > q . In this paper, our analysis is over the general GE channel and without the assumption.…”

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confidence: 99%

Dimensioning the packet loss burstiness over wireless channels: a novel metric, its analysis and application

Liu

Luan

Shen

et al. 2012

Wirel. Commun. Mob. Comput.

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The packet loss burstiness over wireless channels is commonly acknowledged as a key impacting factor on the performance of networking protocols. An accurate evaluation of the packet loss burstiness, which reveals the characteristics and performance of the wireless channels, is crucial to the design of wireless systems and the quality‐of‐service provisioning to end users. In this paper, a simple yet accurate analytical framework is developed to dimension the packet loss burstiness over generic wireless channels. In specific, we first propose a novel and effective metric to characterize the packet loss burstiness, which is shown to be more compact, effective, and accurate than the metrics proposed in existing literature for the same purpose. With this metric, we then develop an analytical framework and derive the closed‐form solutions of the packet loss performance, including the packet loss rate and the loss‐burst/loss‐gap length distributions. Lastly, as an example to show how the derived results can be applied to the design of wireless systems, we apply the analytical results to devise an adaptive packetization scheme. The proposed packetization scheme adaptively adjusts the packet length of transmissions based on the prediction of the packet loss rate and loss‐burst/loss‐gap lengths of the wireless channel. Via extensive simulations, we show that with the proposed packetization scheme, the channel throughput can be enhanced by more than 10% than the traditional scheme.Copyright © 2012 John Wiley & Sons, Ltd.

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Discrete-time Markov Model for Wireless Link Burstiness Simulations

Graham

Zhou

et al. 2013

Wireless Pers Commun

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An Analytical Model to Study the Packet Loss Burstiness over Wireless Channels

Cited by 4 publications

References 15 publications

Effect of channel conditions on inventory database update in supply chains

Effect of channel conditions on inventory database update in supply chains

Dimensioning the packet loss burstiness over wireless channels: a novel metric, its analysis and application

Discrete-time Markov Model for Wireless Link Burstiness Simulations

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