QoS provisioning with adaptive backoff algorithm for IEEE 802.11ac under multipacket reception

Arun, I; Venkatesh, T. G.; Dappuri, Bhasker

doi:10.1109/csndsp.2014.6923941

Cited by 5 publications

(4 citation statements)

References 18 publications

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“…When the demand is received by the AP, it makes admission control to determine if the request accepted or not. If the request accepted, it determines the duration for the admitted data to use the channel [25]. As shown in Figure 2(b), video, voice, back-ground and best-effort are scheduled service queues in four first in first out (FIFOi ) that defined by EDCA with associated priority (knows AC S ) [26].…”

Section: Research Methods and Materialsmentioning

confidence: 99%

On the evaluation of the IEEE 802.11ac WLAN performance with QoS deployment

Farej

Ali

2021

IJEECS

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The increase in the number of users on wireless local area networks (WLAN) and the development of large size applications have increased the demand for high-speed data rate and low latency. The IEEE 802.11ac was developed to provide very high throughput WLANs. Many enhancements are added to the medium access control (MAC) and physical (PHY) layers to increase data rate and improve network performance, these features enable the IEEE 802.11ac standard to provide quality of service (QoS) for multimedia applications. This paper concentrates on the impact of QoS on the system performance in term of delay and throughput. Four scenarios are proposed to investigate the network performance with different (from 1 up to 8) spatial stream (SS). The objective modular network testbed in C++ (OMNet++ modeler v5.5.1) is used to simulate and model these scenarios. For 8×8 SS, the results of simulation show the best throughput (maximum) and delay (minimum) values of (622, 484, 399.3, 382.96 Mbps) and (0.0211, 0.0589, 0.1037, 0.1202 sec) for 5, 15, 30 and 45 node number scenarios respectively. Although the number of nodes increases, the system performance decreases, however when QoS is deployed the performance is enhanced and its best improvement is obtained at the highest (45) node number scenario with values of 94.4% and 56.1% for throughput and delay respectively.

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Section: Research Methods and Materialsmentioning

confidence: 99%

On the evaluation of the IEEE 802.11ac WLAN performance with QoS deployment

Farej

Ali

2021

IJEECS

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“…Such as a dynamic Contention Window (CW) tuning scheme by considering the collision probability [18,23], or an adaptive Arbitration Inter-Frame Space Number (AIFSN) scheme [24]. In Reference [25] the authors introduce two additional MAC-layer parameters-threshold and counter decrement value, and propose an QoS provisioning with adaptive back off algorithm in the case of multi-packet reception. Some proposed improvement methods were developed with consideration of wireless network type or its topology.…”

Section: Related Workmentioning

confidence: 99%

Performance Analysis of Wireless Local Area Network for a High-/Low-Priority Traffic Ratio at Different Numbers of Access Categories

2021

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The performance of Wireless Local Area Network (WLAN) is highly dependent on the processes that are implemented in the Medium Access Control (MAC) sublayer regulated by the IEEE 802.11 standard. In turn, various parameters affect the performance of the MAC sublayer, the most important of which is the number of stations in the network and the offered load. With the massive growth of multimedia traffic, research of the network performance depending on traffic types is relevant. In this paper, we present the impact of a high-/low-priority traffic ratio on WLAN performance with different numbers of access categories. The simulation results show different impact of high-/low-priority traffic ratio on the performance of the MAC sublayer of wireless LANs depending on different network-sizes and on network conditions. Performance of the large network with two access categories and with the prevalent high-priority traffic is significantly higher than in the case of using four categories on the MAC sublayer. This allows us to conclude that the performance improvement of the large network with the prevalent high-priority traffic can be achieved by an adaptive adjustment of the access categories number on the MAC sublayer.

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“…The equations for π 0 , π 1 , π 2 are given by (10) and (11). E[T 1 ] and E[T 2 ] are given by (12) while E[T 0 ] = (1/Λ). Further,Ŝ 0 = 0.…”

Section: Throughput Of 1-p Csma For Collision Channelmentioning

confidence: 99%

“…Chan et al [11] have analysed the performance of carrier sense multiple access (CSMA) under MPR and has evaluated through simulation the early specification of IEEE 802.11ac standard for MPR enabled MU-MIMO capable PHY layer. Further enhancements to IEEE 802.11ac protocols to support QoS through adaptive backoff mechanism leveraging the MPR nature of channel have been proposed [12].…”

Section: Introductionmentioning

confidence: 99%