Modeling TCP performance over wireless channels with a semi-reliable data link layer

Moltchanov, Dmitri; Dunaytsev, Roman

doi:10.1109/iccs.2008.4737318

Cited by 5 publications

(5 citation statements)

References 7 publications

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“…TCP throughput was represented as a function of wireless channel characteristics and lower layers parameters including the strength of FEC code, size of IP packets and data-link frames. In [20], they extended their results to the case of limited number of retransmission attempts allowed for a single frame. In both studies renewal theory was used to compute TCP throughput.…”

Section: B Joint Tcp/arq Modelingmentioning

confidence: 93%

Modeling TCP performance over wireless channels using fixed-point approximation

Moltchanov

Dunaytsev

2008

2008 International Conference on Telecommunications

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Wireless channels are prone to transmission errors. Loss of IP packets due to imperfect local error concealment strategy implemented at the data-link layer is the major reason for TCP performance degradation in wireless networks. These losses are misinterpreted by TCP senders as congestion indications and subsequently lead to decrease of the sending rate. In addition to wireless losses IP packets can also be lost due to buffer overflow at the IP layer. To study performance experienced by a number of concurrent TCP sessions sharing the same wireless bottleneck we adopt the fixed-point approach. We demonstrate that throughput provided to TCP flows is complex cross-layer function depending on wireless channel statistics and configuration of the protocol stack at the wireless interface.

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Section: B Joint Tcp/arq Modelingmentioning

confidence: 93%

Modeling TCP performance over wireless channels using fixed-point approximation

Moltchanov

Dunaytsev

2008

2008 International Conference on Telecommunications

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“…In [13], the authors develop a model for TCP SACK with truncated ARQ. In [14], a comprehensive fixed-point model is developed considering both wireless and buffer losses and for several models of packet arrival processes to represent the packet arrival process due to TCP Reno.…”

Section: Literature Surveymentioning

confidence: 99%

“…In [14], a comprehensive fixed-point model is developed considering both wireless and buffer losses and for several models of packet arrival processes to represent the packet arrival process due to TCP Reno. In [13] and [14], models are developed for the cases when either the wireless or the buffer losses are dominant. Starting with a more detailed bit-level Markov channel model, it is concluded in [13] and [14] that the wireless loss process at the packetlevel is approximately an i.i.d.…”

Section: Literature Surveymentioning

confidence: 99%

“…In [13] and [14], models are developed for the cases when either the wireless or the buffer losses are dominant. Starting with a more detailed bit-level Markov channel model, it is concluded in [13] and [14] that the wireless loss process at the packetlevel is approximately an i.i.d. process, which simplifies the analysis significantly.…”

Section: Literature Surveymentioning

confidence: 99%

“…With Poisson arrivals, the BS's queue can be modeled as an M=G=1=K queue with FIFO order of service. The distribution of the service time is given by (13). Since the BS's queue has a finite buffer capacity of K packets, the queue length process will be stationary and ergodic for all positive and finite arrival rates 0 < < 1.…”

Section: Queueing Analysismentioning

confidence: 99%

See 2 more Smart Citations

Performance Analysis of TCP NewReno over a Cellular Last-Mile: Buffer and Channel Losses

Panda

Mandjes

et al. 2015

IEEE Trans. on Mobile Comput.

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TCP NewReno is one of the most widely deployed TCP versions in today's Internet. However, a full understanding of the complex inter-dependencies between the losses due to wireless channel errors and those due to buffer overflows, and their (joint) impact on TCP NewReno's congestion control algorithm in wireless and wired-cum-wireless networks is still lacking. In this paper, we develop a comprehensive analytical model for, and study the performance of, TCP NewReno with a cellular last-mile access, taking into account both types of losses. We assume a frame-level Markovian loss model, and build a model that features the system's basic controllable parameters (such as the number of retransmissions and the buffer size), so as to study how they (jointly) affect the TCP-level throughput. We model certain finer aspects, e.g., correlations in wireless and buffer losses and their cross-correlation. We provide a summary of numerical results highlighting several non-trivial findings. In particular, we demonstrate that there exist optimal (i.e., TCP throughput maximizing) pairs of the number of retransmissions and the buffer size.Index Terms-TCP NewReno, finite state Markov channel model, fixed-point analysis, slowly varying channel, relative time-scale Ç 1536-1233 ß

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Empirical Predictor of TCP Throughput on a Multihop Wireless Path

Chaltseva

Osipov

2010

Smart Spaces and Next Generation Wired/Wireless Networking

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Modeling TCP performance over wireless channels with a semi-reliable data link layer

Cited by 5 publications

References 7 publications

Modeling TCP performance over wireless channels using fixed-point approximation

Modeling TCP performance over wireless channels using fixed-point approximation

Performance Analysis of TCP NewReno over a Cellular Last-Mile: Buffer and Channel Losses

Empirical Predictor of TCP Throughput on a Multihop Wireless Path

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