Performance evaluation of a new wireless TCP algorithm in out-door and in-door environments on WiFi and WiMAX links

Lara-Cueva, Román; Olmedo, Gonzalo; Calvopina, Katherine

doi:10.1109/chilecon.2015.7400394

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…A normalized throughput (η ̅ ) was obtained for TCP Reno, TCP Westwood, TCP-NACK Reno and TCP-NACK Westwood. The TCP Reno and Westwood results were calculated by ( 16), and the We performed tests under different bandwidth values by the modification of the number of packets per second and the frame size, as shown in Table 5 More details about this experiment are presented in [23].…”

Section: Results From Mathematical Analysismentioning

confidence: 99%

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Performance Analysis of a Novel TCP Protocol Algorithm Adapted to Wireless Networks

et al. 2020

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As telecommunication systems evolve towards new-generation architectures, likewise, new protocols are created in order to improve efficiency. One of these protocols is Transmission Control Protocol (TCP), which controls the transmission bit rate in function of network congestion. Nevertheless, in wireless communications, there appear problems such as noise and interference, for which TCP was not designed. Based on these problems, there exist some methods trying to mitigate congestion, such as explicit loss notifications and the use of end-to-end codification. The aim of this work was to propose a wireless TCP protocol improvement, considering a negative acknowledgment (NACK), which allows to differentiate between losses due to congestion and losses due to wireless channel issues. NACK employs a small protocol packet and produces improvement in the quality of service metrics. The experiments were carried out in in-door and out-door environments, over an online video game scenario, and over a long-distance wireless link between two islands. The average results show a 25-percent delay improvement and a 5-percent jitter improvement when compared to the original TCP Reno protocol, while for throughput a 90-percent improvement was achieved for distances between 100 and 414 m.

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Section: Results From Mathematical Analysismentioning

confidence: 99%

“…More details about this experiment are presented in [24]. We performed tests under different bandwidth values by the modification of the number of packets per second and the frame size, as shown in Table 5 More details about this experiment are presented in [23].…”

Section: Long Distance Scenariomentioning

confidence: 99%

Performance Analysis of a Novel TCP Protocol Algorithm Adapted to Wireless Networks

et al. 2020

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“…x (n) , y (n) , and w (n) are vectors of size N × 1 and H (n) is an N × N matrix. These four components can be written as follows [22][23][24] : The channel matrix H (n) contains the average time duration of an OFDM symbol of the channel frequency response H (n) [b,b′] on its diagonal. The Interference Entre sous-Porteuse (IEP) coefficients are given by…”

Section: The Receivermentioning

confidence: 99%

Performance evaluation of Wi‐Fi and WiMAX over OFDM physical layer

Rodrigues

Korotaev

et al. 2018

Int J Communication

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Orthogonal frequency division multiplexing (OFDM) is an alternative technology that is constrained to keep up with the increasingly high data transmission rate due to its robustness against selective frequency fading and its resistance to intersymbol interference (ISI). This paper aims to study and optimize its performance, namely, its probability of communication failure and signal-tointerference-plus-noise ratio (SINR) metrics. The mathematical tool used to perform OFDM evaluation and analysis is the Fourier transform and its properties. The obtained results of those equations led to the demonstration of the probability of communication outage and to notice that the cutoff time occurs after the 10th iteration for values of λ less than or equal to 1. It could also be checked that this period is small if λ exceeds 1 by considering the sensitivity factor. Moreover, for the obtained results, in terms of bit error rate (BER) and SINR, the influence of the modulation on the error vector magnitude (EVM) shows the sensitivity factor Ω presents a key role in the transmission chain.

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