Analysis of Burst Transmission in IEEE 802.11e Wireless LANs

Peng, Fei; Alnuweiri, Hussein; Leung, Victor C. M.

doi:10.1109/icc.2006.254850

Cited by 29 publications

(21 citation statements)

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“…Note that (3) and (4) form a system of non linear equations which can be solved using numerical techniques, to get [6,12]. With the knowledge of i p  and , c i , i p Z can be determined using (7) with the help of (4) to (6), (8) and (12). In V2I networks, the number of vehicles on the highway depends on parameters such as vehicle arrival rate, vehicle density, and vehicle speed.…”

Section: Analytical Model For Data Transferredmentioning

confidence: 99%

“…In [8], the authors propose an analytical model to evaluate the impact of TXOP limits on the throughput of different access categories in WLANs. In [9], the authors incorporate the TXOP scheme into the infrastructure-based WLANs for throughput improvement.…”

Section: Related Workmentioning

confidence: 99%

“…The effectiveness of TXOP based service differentiation has been extensively analyzed and evaluated in WLAN (e.g., [8][9][10]). In [8], the authors propose an analytical model to evaluate the impact of TXOP limits on the throughput of different access categories in WLANs.…”

Section: Related Workmentioning

confidence: 99%

“…During an EDCA TXOP, a node is allowed to transmit multiple Protocol Data Units (PDUs) from the same AC with a SIFS time gap between an ACK and the subsequent frame. Prior works [8][9][10] have proved that TXOP is an efficient techniques for providing service differentiation in 802.11 WLANs.…”

Section: Introductionmentioning

confidence: 99%

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Fairness Assurance through TXOP Tuning in IEEE 802.11p Vehicle-to-Infrastructure Networks for Drive-Thru Internet Applications

Harigovindan¹,

Babu²,

Jacob³

2013

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This paper addresses an unfairness problem that exists among vehicles of distinct velocities in IEEE 802.11p based vehicle-to-infrastructure (V2I) networks used for drive-thru Internet applications. The standard IEEE 802.11p does not take into account, the residence time of vehicles within the coverage of each road side unit (RSU), for granting channel access. Due to this, a vehicle moving with higher velocity has less chance to communicate with the RSU, as compared to vehicles with lower velocity, due to its shorter residence time in the coverage area of RSU. Accordingly, the data transfer performance of a higher velocity vehicle gets degraded significantly, as compared to that of the vehicle with lower velocity, resulting in unfairness among them. In this paper, our aim is to resolve this unfairness problem by assigning the transmission opportunity (TXOP) limits to vehicles according to their mean velocities. Using an analytical model, we prove that tuning TXOP limit proportional to mean velocity can ensure fairness among vehicles belonging to distinct classes of mean velocities, in the sense of equal chance of communicating with RSU. Analytical results are validated using extensive simulations.

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Section: Analytical Model For Data Transferredmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fairness Assurance through TXOP Tuning in IEEE 802.11p Vehicle-to-Infrastructure Networks for Drive-Thru Internet Applications

Harigovindan¹,

Babu²,

Jacob³

2013

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“…Many recent papers have proposed analytical models for various subsets of EDCA functionality [7]- [19]. Xiao [7] models CWmin and CWmax differentiation, [8]- [18] model CWmin, CWmax and AIFS differentiation, and Peng et.…”

Section: Introductionmentioning

confidence: 99%

An Access Delay Model for IEEE 802.11e EDCA

Sakurai

2009

IEEE Trans. on Mobile Comput.

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Abstract-In this paper, we analyse the MAC access delay of the IEEE 802.11e EDCA mechanism under saturation. We develop a detailed analytical model to evaluate the influence of all EDCA differentiation parameters, namely AIFS, CWmin, CWmax and TXOP limit, as well as the backoff multiplier β. We derive explicit expressions for the mean, standard deviation and generating function of the access delay distribution. By applying numerical inversion on the generating function, we are able to efficiently compute values of the distribution. Through comparison with simulation, we confirm the accuracy of our analytical model over a wide range of operating conditions. Using the model, we derive simple asymptotics and approximations for the mean and standard deviation of the access delay, which reveal the salient model parameters for performance under different differentiation mechanisms. We also use the model to study the characteristics of CWmin, AIFS, TXOP, and β differentiation. We find that, though rejected during the standardization process, β differentiation is an effective differentiation mechanism that has some advantages over the other mechanisms.

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Diabetes Metabolism Res

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Analysis of Burst Transmission in IEEE 802.11e Wireless LANs

Cited by 29 publications

References 1 publication

Fairness Assurance through TXOP Tuning in IEEE 802.11p Vehicle-to-Infrastructure Networks for Drive-Thru Internet Applications

Fairness Assurance through TXOP Tuning in IEEE 802.11p Vehicle-to-Infrastructure Networks for Drive-Thru Internet Applications

An Access Delay Model for IEEE 802.11e EDCA

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