M. Zorzi and R. Rao. Perspectives of the impact of error statistics on protocols for wireless networks. IEEE Pers. Comm., 6(5):32--40, October 1999.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....Hence, predictions of the error behavior of these channels are much more hairy than for a simple AWGN (additive white gaussian noise) channel. And it has been shown that the performance of protocols often is sensitive to the kind of errors. For example, the results presented in reference [19] show that bit errors according to a Gilbert Elliot model (a very popular model for wireless channels) are beneficial for the performance of TCP, as compared to independent errors with the same mean bit error rate. However, in this paper we show that simple models like the Gilbert Elliot model ....

Michele Zorzi and Ramesh R. Rao. Perspectives on the Impact of Error Statistics on Protocols for Wireless Networks. IEEE Personal Communications, 6(5), October 1999.

....that as n is increased, the correlation between IP packet errors and channel fading characteristics decreases. Simulation results presented in [2] indicate that the number of time outs due to RLP error recovery is not substantially dependent on the number of RLP retransmission cycles. However, in [3] it is suggested that TCP time out values may need to be tuned to work with RLP. In this paper we will present a model of packet transmission over a wireless link employing link layer error recovery and use it to determine an approximation to the probability of TCP timing out due to link layer ....

Zorzi M., Rao RR, "Perspectives on the Impact of Error Statistics on Protocols for Wireless Networks", IEEE Personal Communications Magazine October 1999

.... 2G packet digital cellular services such as GPRS and packet CDMA systems, and third generation systems being just over the horizon it is important to have an understanding of how the performance of TCP is effected by their respective Link Layer retransmission protocols[1,2] It has been shown in [3,6,7], that packet errors, introduced by the wireless channel, result in a degradation of TCP throughput since TCP interprets the loss as a sign of congestion. To oppose this effect, most cellular systems employ a link layer protocol such as Radio Link Protocol [4] RLP) which hides the majority of ....

Zorzi M., Rao R.R., "Perspectives on the Impact of Error Statistics on Protocols for Wireless Networks", IEEE Personal Communications Magazine October 1999

....Hence, predictions of the error behavior of these channels are much more hairy than for a simple AWGN (additive white gaussian noise) channel. And it has been shown that the performance of protocols often is sensitive to the kind of errors. For example, the results presented in reference [19] show that bit errors according to a Gilbert Elliot model (a very popular model for wireless channels) are beneficial for the performance of TCP, as compared to independent errors with the same mean bit error rate. However, in this paper we show that simple models like the Gilbert Elliot model ....

Michele Zorzi and Ramesh R. Rao. Perspectives on the Impact of Error Statistics on Protocols for Wireless Networks. IEEE Personal Communications, 6(5), October 1999.

.... TCP s inefficiencies in a wired cum wireless environment (Allman et al. 2000; Bakre Badrinath, 1995; Balakrishnan et al. 1995; Cceres Iftode, 1995; Parsa Garcia Luna Aceves, 1999; Sinha et al. 1999) Testing the comparative efficiency of these proposals requires realistic error models (Zorzi Rao, 1999; Pentikousis, 2000) 2 TEMPORAL VS. RATE BASED ERROR MODELS This work investigates the impact that two broad characteristics of error modeling have in the evaluation of TCP performance. First, we consider rate based error models vs. temporal error models. Rate based error models drop a ....

....instead of assigning a drop rate to each state, we designate one as a good state where no segments are dropped and the other as bad where all segments are dropped. The sojourn times in each state can be sampled from arbitrarily chosen distributions. Exponential distributions are often used (Zorzi Rao, 1999), yielding a Markovian model. This temporal error model, of course, is simply an On Off model. The capability of such models to capture network performance as perceived by the transport layer is less than satisfactory (Xylomenos Polyzos, 1999) On the other hand, the two state ratebased model is ....

Zorzi, M., Rao, R. (1999). "Perspectives on the Impact of Error Statistics on Protocols for Wireless Networks." In IEEE Personal Communications, vol. 6, Oct. 1999.

....M. Zorzi et al. Throughput and energy of TCP on a WCDMA air interface 2 effect on the overall throughput performance of TCP, and that different higher order statistical properties of the packet error process may lead to vastly different performance even for the same average packet error rates [14]. It is therefore important to be able to accurately characterize the actual error process as arising in the specific environment under study, as simplistic error models may just not work. Another critical factor to be considered when wireless devices are used is the scarce amount of energy ....

....suffer similar values of will enjoy about the same throughput. Again, this is not obvious since different users in a simulation may see different statistical behaviors of the errors, which could in principle lead to different performance even in the presence of the same average error rate [14]. Another interesting observation from Figure 1 is that as the Doppler frequency increases the performance degrades, i.e. slower channels correspond to better performance, as already observed in [11] As expected, for sufficiently high values of the Doppler frequency, the behavior of the system ....

M. Zorzi, R.R. Rao, "Perspectives on the Impact of Error Statistics on Protocols for Wireless Networks," IEEE Personal Communications, vol. 6, Oct. 1999.

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M. Zorzi and R. Rao. Perspectives of the impact of error statistics on protocols for wireless networks. IEEE Pers. Comm., 6(5):32--40, October 1999.

No context found.

M. Zorzi and R. R. Rao, "Perspectives on the Impact of Error Statistics on Protocols for Wireless Networks," IEEE Personal Communications, vol. 6, pp. 32--40, October 1999.

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M. Zorzi, R. Rao, Perspectives on the Impact of Error Statistics on Protocols for Wireless Networks, IEEE Personal Communications 6 (5) (1999) 32-40.

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