2014
DOI: 10.1007/s11042-014-2131-y
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Modeling and performance study of the packet fragmentation in an IEEE 802.11e-EDCA network over fading channel

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Cited by 8 publications
(8 citation statements)
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“…Markov chains have been studied using many approaches considering different aspects of the delay, throughput, and packet reception rate, as shown in Table 1 Yao et al 32 analyzed the 802.11p safety-critical broadcast on the CCH in a VANET environment and improved existing work by considering several design aspects. Yazid et al 34 proposed an extension of the existing Markov chain models of the IEEE 802.11e EDCA function to take into account the packet error rate and packet fragmentation. In addition, they used an M/M/1 queue to calculate the broadcast delay of each access category (AC).…”
Section: Related Workmentioning
confidence: 99%
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“…Markov chains have been studied using many approaches considering different aspects of the delay, throughput, and packet reception rate, as shown in Table 1 Yao et al 32 analyzed the 802.11p safety-critical broadcast on the CCH in a VANET environment and improved existing work by considering several design aspects. Yazid et al 34 proposed an extension of the existing Markov chain models of the IEEE 802.11e EDCA function to take into account the packet error rate and packet fragmentation. In addition, they used an M/M/1 queue to calculate the broadcast delay of each access category (AC).…”
Section: Related Workmentioning
confidence: 99%
“…Markov chains play a key role in calculating the optimal CCHI by predicting the number of successful WSA packet transmissions, the throughput, and the transmission delay. Markov chains have been studied using many approaches considering different aspects of the delay, throughput, and packet reception rate, as shown in Table 1 32 2013 Delay Packet reception rate 1-D and 2-D Nonsaturation and saturation Wang 33 2014 Delay Packet reception rate 1-D and 2-D Nonsaturation Yazid 34 2015 Throughput BER and 2-D Saturation packet length Xiong 35 2015 Throughput Packet loss ratio 1-D and 2-D Nonsaturation Duration of each kind of intervals Zhou 36 2016 Throughput Packet 1-D and 2-D Nonsaturation reception rate Song 37 2017 Delay Throughput 1-D and 2-D Nonsaturation and saturation Packet reception rate Abbreviations: EDCA, enhanced distributed channel access; KPI, key performance indicator.…”
Section: Related Workmentioning
confidence: 99%
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“…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).…”
Section: Introductionmentioning
confidence: 99%
“…The important QoS performance metrics in terms of throughput, delay, delay jitter, and frame loss probability are derived. Yazid et al (2015a) showed how the packet fragmentation developed in the legacy IEEE 802.11 standard can be used to enhance the current IEEE 802.11e QoS. Therefore, the authors proposed an extension of the existing Markov chain models of the IEEE 802.11e EDCA function, in order to take into account the packet error rate (PER) and packet fragmentation.…”
Section: Introductionmentioning
confidence: 99%