Wireless Channel Parameters Maximizing TCP Throughput

Baccelli, François; Cruz, R.L.; Nucci, Antonio

doi:10.1007/978-0-387-48945-2_2

Cited by 7 publications

(24 citation statements)

References 12 publications

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“…Barman et al [6] also conducted a similar study but included the impact of signal power and ARQ as well. Baccelli et al [7] developed an analytical model of TCP that includes the impact of congestion losses due to a finite capacity channel. They used this model to study the impact of both coding rate and processing gain on TCP throughput (see also [8], [9], and [10] for other cross-layer optimization techniques proposed to improve TCP throughput).…”

Section: Related Workmentioning

confidence: 99%

“…In order to tackle the impact of the proposed channel scheduler on TCP throughput, we use the model developed by Baccelli et al [7] for a single fixed rate channel as a starting point and develop a model that accounts for the two-rate regime. We present a more detailed explanation of our model below:…”

Section: Tcp Modelmentioning

confidence: 99%

“…As in [7] and [16], we assume that the channel losses can be modeled by an inhomogeneous Poisson process with rate p i XðtÞ, i ¼ 0; 1 at time t. 7. If the TCP sender is not constrained by the receiver window, then TCP experiences congestion with probability 1 when its sending rate, XðtÞ, exceeds C 1 .…”

Section: Tcp Modelmentioning

confidence: 99%

“…One such bound is the Gilbert-Varshamov [20] bound. This was used in [7] and we also use it as an approximation. The Gilbert-Varshamov bound is a bound on the parameters of a code of length B and information bit length K. It specifies that there exists a minimum Hamming distance d between any two codewords that must satisfy…”

Section: Packet Error Probability: the Variable Coding Casementioning

confidence: 99%

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TCP-Aware Channel Allocation in CDMA Networks

Ghaderi

Sridharan

Zang

et al. 2009

IEEE Trans. on Mobile Comput.

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Abstract-This paper explores the use of rate adaptation in cellular networks to maximize throughput of long-lived TCP sessions. Modern cellular networks incorporate RF technology that allows them to dynamically vary the wireless channel rate in response to user demands and channel conditions. However, the set of data rates as well as the scheduler's rate adaptation policy are typically chosen to maximize the throughput of inelastic connections. We focus on the problem of maximizing the throughput of TCP connections and propose a joint optimization of MAC and physical layer parameters with respect to TCP sending rate. In particular, we propose a simple TCP-aware channel scheduler that adapts the wireless channel rate to changes in the TCP sending rate and explore its performance for both single and multiple concurrent sessions. In the case of a single TCP session, we develop a fluid model of its steady-state behavior in such a system that adapts between two channel rates. The accuracy of the model, its utility in selecting optimal rates as well as the performance of systems with up to three channel rates are explored with ns-2 simulations. Our results indicate that a two-rate scheme improves TCP throughput by 15 to 20 percent over a system that does not exploit rate adaptation and that little additional benefit accrues from the addition of a third channel rate. Finally, we extend the framework to scenarios where bandwidth is shared by multiple TCP sessions. We propose two channel allocation algorithms, one relying on detailed TCP state information, the other not, and explore their performance through simulation. Our results indicate that TCP throughput is relatively insensitive to either channel allocation algorithm, and adaptive rate variation is the dominant factor in performance.

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Section: Related Workmentioning

confidence: 99%

Section: Tcp Modelmentioning

confidence: 99%

Section: Tcp Modelmentioning

confidence: 99%

Section: Packet Error Probability: the Variable Coding Casementioning

confidence: 99%

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TCP-Aware Channel Allocation in CDMA Networks

Ghaderi

Sridharan

Zang

et al. 2009

IEEE Trans. on Mobile Comput.

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“…Using techniques from fluid analysis we can write differential equations for the evolution of the steady-state distribution f (x) of the instantaneous throughput X(t). Then, by applying Mellin transforms [7,8], which is defined aŝ…”

Section: Let F I (X T) Denote the Density Function Of The Instantanementioning

confidence: 99%

Modeling TCP in a Multi-rate Multi-user CDMA System

Ghaderi

Sridharan

Zang

et al. 2007

NETWORKING 2007. Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet

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Abstract. Modern CDMA wireless channels support multiple transmission rates, which can be dynamically assigned to users based on traffic demand. However, in practice, assignment of high rate channels comes with the penalty of increased power as well as smaller orthogonal codes, which constrains their assignment to only a subset of active users. This motivates the need to carefully control high rate channel assignments so as to minimize power and achieve fairness among users. In this work, we propose a simple class of channel allocation policies to achieve this goal for TCP sessions. We develop an analytical model that explicitly captures both TCP dynamics and the impact of multiple users contending for a shared resource to evaluate the performance of the allocation policy. The model is shown to be accurate by comparing against ns-2 simulations and its utility demonstrated in computing the minimum number of required high rate channels to minimize contention.

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