Modeling and analysis of TXOP differentiation in infrastructure-based WLANs

Transmission priority scheme with adaptive backoff technique in fiber-wireless networks

“…The convergence improves with the positive integer convergence factor, h, in Equation 35. However, Figure 10 indicates that the system throughput gradually decreases as the convergence factor increases.…”

“…In infrastructure networks, the AP requires more transmission opportunities to give fairness to the uplink/downlink performance [27]. Priority access for an individual user can be obtained by scaling the CW [26], changing the CW min [28][29][30][31][32], utilizing reduced inter-frame spacings (PIFS and SIFS instead of DIFS) [33,34], and adjusting transmission opportunity (TXOP) limits [31,35]. Such techniques have been proposed for QoS enhancements and to provide uplink/downlink fairness in a single BSS infrastructure network.…”

Modelling and performance analysis of video and voice streams in the IEEE 802.11e-EDCA WLANs with TXOP bursting under fading channel

“…The overhead problem becomes more serious as the data rate increases. To mitigate the impact of the overheads and improve the system efficiency, the TXOP scheme has been proposed in the IEEE 802.11e protocol (Min et al, 2011).…”

“…Another advantage of using the TXOP scheme is that the channel occupation time in multi-rate WLANs can be fairly distributed by allocating the larger TXOPLimit to faster stations. The slow stations, therefore, no longer severely degrade the performance of those with the higher rate (Min et al, 2011). In this section, we describe a new two-dimensional discrete time Markov chain model for the IEEE 802.11e EDCA function including mainly the TXOPLimit and the PER.…”

“…The performance analysis of IEEE 802.11e-EDCA network can be achieved by either simulation and experiment (see Al-Karaki and Chang, 2004;Hamidian and Korner, 2006;Fan, 2007;Gallardo et al, 2007;Lee et al, 2007b;Ge et al, 2007;Lin and Wu, 2007;Hamidian and Korner, 2008;Yu et al, 2009;Varposhti and Movahhedinia, 2009;Thangaraj et al, 2010;Cetinkaya, 2010;Lagkas et al, 2013;Korner et al, 2011;Camps-Mur et al, 2012) or by mathematical modelling (see Jeong et al, 2004;Kong et al, 2004;Vassis and Kormentzas, 2005;Xiao, 2005;Banchs and Vollero, 2006;Tao and Panwar, 2006;Banchs and Serrano, 2007;Serrano et al, 2007;Xiong and Mao, 2007;Patras et al, 2009;Pan and Wu, 2009;Hu et al, 2011;Kosek-Szott et al, 2011;Min et al, 2011;Liu and Saadawi, 2011;Hu et al, 2012;Yao et al, 2013;Yazid et al, 2015a). Mathematical modelling is an abstract representation of the system behaviour, frequently in steady state (Puigjaner, 2003).…”