Empirical investigation on the dependence of TCP upstream throughput on SNR in an IEEE802.11b WLAN system

Abstract

An empirical investigation on the dependence of TCP upstream throughput against signal to noise ratio (SNR) in an IEEE802.11b WLAN system was carried out in various environments and varieties of QoS traffic. The TCP upstream throughput (TCP up T) was measured for various SNR observed. An Infrastructure based IEEE802.11b WLAN system having networked computers on which measurement software were installed, was set up consecutively in various environments (open corridor, small offices with block walls and plaster boards and free space). Empirical models describing the TCP up T against SNR for different signals ranges (all ranges of signals, strong signals only, grey signals only and weak signals only) were statistically generated and validated. Our results show a strong dependence of TCP up T on the received SNR which varied as the SNR values changed from high (strong signals) through low (grey signals) to very low (weak signals). Our models showed lower RMS errors when compared with other similar models. We observed RMS errors of 0.5431955Mbps, 0.447938789Mbps, 1.04536603Mbps and 0.4503096Mbps for all SNR model, strong signals model, Grey signals model and Weak signals model respectively. Our models will provide researchers and WLAN systems users with a tool to estimate TCP up T in a real network in various environments by monitoring the SNR.

Multiple users round trip time CDF probability models in IEEE802.11b WLANS

“…The method used in Oghogho, et al, (2014a), Oghogho et al, (2014b) and Oghogho (2019) was also used in this work except that RTT multiple users data was collected instead of throughput data. The multiple users RTT data collected were categorized into four categories using the SNR namely: (i) All signals considered, (ii) Strong signals only (SNR>25dB), (iii) Grey signals only (25dB>SNR>18dB) (iv) Weak signals only (SNR<19dB) only.…”

“…Several research has shown that throughput in WLANs can be predicted directly from the SNR with reasonable accuracy (Henty, (2001); Oghogho et al, (2014a); Oghogho et al, (2014b), Oghogho et al,(2015a), Oghogho et al, (2015b), Oghogho, (2017, Oghogho et al, (2017), Oghogho et al, (2018). Among these researches, Oghogho et al, (2014b) and Oghogho, et al, (2015a) provided throughput CDF probability models based on different ranges of SNR observed.…”