An Access Delay Model for IEEE 802.11e EDCA

Xu, Dongxia; Sakurai, Taka; Vu, Hai L.

doi:10.1109/tmc.2008.108

Cited by 41 publications

(2 citation statements)

References 21 publications

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“…The effect of Assumption 2 is that new packets cannot be appended to an in-service A-MPDU. The time interval t 2 − t 1 is usually referred to as the service time [26], [27] or the access delay [28], [29].…”

Section: A Assumptionsmentioning

confidence: 99%

Performance Analysis of Aggregation-Enabled IEEE 802.11 WLANs With Variable Aggregation Size

Seytnazarov,

Jeong,

Jeon

2023

IEEE Access

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Aggregation-enabled wireless local area network (WLAN) technologies such as IEEE 802.11n and 802.11ac are densely deployed for high-speed and wireless Internet access. Conventional approaches for performance modeling of 802.11n/ac assume fully saturated traffic, where stations always have enough packets to transmit aggregate frames of full or fixed aggregation size. However, such an assumption is unrealistic, since stations usually transmit aggregate frames with different aggregation sizes depending on several dynamic factors, such as offered traffic load, number of active stations, transmission rate, and random backoff time. In this work, we propose a new performance model of aggregation-enabled 802.11n/ac WLANs for different traffic loads and buffer sizes with the assumption that stations always have at least one packet to transmit. Unlike conventional models where stations always contend to transmit aggregate frames of maximum or other fixed aggregation size, the proposed model dynamically determines the aggregation size based on given offered traffic load, number of stations, transmission rate, and random backoff process. Performance evaluations showed that the proposed model produces remarkably accurate performance estimates for throughput, especially for higher traffic loads.

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Section: A Assumptionsmentioning

confidence: 99%

Performance Analysis of Aggregation-Enabled IEEE 802.11 WLANs With Variable Aggregation Size

Seytnazarov,

Jeong,

Jeon

2023

IEEE Access

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“…If a network supports a set of traffic specifications, as: bandwidth, transmission delay, jitter-bound, data path-loss, etc then it is supposed to support QoS delivery. Several new mechanisms for service differentiation have been proposed (Dongxia & al., 2009) (I-Shyan & Jheng-Han, 2008) (Whe-Dar & Der-Jiunn, 2008). The quality of traffics including video streaming is getting better performance when the characteristics of the wireless networks are taken into account.…”

Section: Quality Of Service and The Ieee 80211 Standardmentioning

confidence: 99%

MAC-Layer QoS Evaluation Metrics for IEEE 802.11e-EDCF Protocol over Nodes' Mobility Constraints

Dridi¹,

Daachi²,

Djouani³

2012

Advanced Wireless LAN

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Performance improvements of HCCA scheduling in V2R environments

Zhang¹,

Liu²,

Shu³

2013

Int J Communication

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This paper addresses the issue of real-time data transmission in vehicles to roadside environment by the hybrid coordination function controlled channel access (HCCA) scheme with Institute of Electrical and Electronics Engineers 802.11p protocol. The HCCA is one of the medium access protocols specified in 802.11p standard, which uses a polling scheme similar to the point coordination function to provide a reliable QoS. In this paper, we improve the HCCA polling scheme and design a new data transmission scheduling method. We also prepared a mathematical model to systematically evaluate the performance of the HCCA in terms of average delay. Moreover, we analyze the factors that could impact the average delay, throughput, and packet loss rate as well. The simulation results are compared with the original scheme specified in the standard. The simulation results demonstrate that the proposed delay model could estimate the average delay of the HCCA with a high precision, whereas the proposal of the enhancement of the HCCA has lower delay, lower loss rate, and higher throughput than the one specified in the standard.

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An Access Delay Model for IEEE 802.11e EDCA

Cited by 41 publications

References 21 publications

Performance Analysis of Aggregation-Enabled IEEE 802.11 WLANs With Variable Aggregation Size

Performance Analysis of Aggregation-Enabled IEEE 802.11 WLANs With Variable Aggregation Size

MAC-Layer QoS Evaluation Metrics for IEEE 802.11e-EDCF Protocol over Nodes' Mobility Constraints

Performance improvements of HCCA scheduling in V2R environments

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