Performance Comparison Analysis between IEEE 802. 11a/b/g/n Standards

Khanduri, Rachana; Rattan, S. S.

doi:10.5120/13452-1071

Cited by 21 publications

(15 citation statements)

References 6 publications

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“…The IEEE 802.11 network includes several basic service sets, in which a number of wireless stations transmit or receive from a single access point shown in Figure 3. The following Table 1 outlines some of these standards in terms of the operating frequency and data rate [20,21].…”

Section: Ieee 80211 Standards: Wi-fi Familymentioning

confidence: 99%

The impact of noise on detecting the arrival angle using the root-WSF algorithm

et al. 2020

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This article discusses three standards of Wi-Fi: traditional, current and next-generation Wi-Fi. These standards have been tested for their ability to detect the arrival angle of a noisy system. In this study, we chose to work with an intelligent system whose noise becomes more and more important to detect the desired angle of arrival. However, the use of the weighted subspace fitting (WSF) algorithm was able to detect all angles even for the 5th generation Wi-Fi without any problem, and therefore proved its robustness against noise.

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Section: Ieee 80211 Standards: Wi-fi Familymentioning

confidence: 99%

The impact of noise on detecting the arrival angle using the root-WSF algorithm

et al. 2020

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“…Uplink and down link traffic loads are created when the session of the VOIP starts. Suppose 802.11b standard is used with G.711 (20ms) voice codec, the data rate of 802.11b standard is 11Mbps [23]. Besides that, the capacity of the voice user can be calculated simply by dividing the wireless 802.11b data rate over two ways G.711 data rates (11Mbps/2×80kbps), equivalent to 68 voice users.…”

Section: Challenges That Face Voip In the Wireless Networkmentioning

confidence: 99%

Markov Chain Model and Performance Enhancement for EDCA Protocol

Abu‐Khadrah¹,

Zakaria²,

Othman³

et al. 2016

JCM

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The real-time application is the main challenge that faces the wireless network. It must achieve the quality of service (QOS) requirements to success. IEEE802.11 standards use Enhanced Distributed Channel Access (EDCA) protocol and Distributed Coordinate Function (DCF) protocol in its Media Access Control (MAC) layer. EDCA protocol is used to overcome the drawback of supporting QOS in DCF protocol. The mechanism of EDCA protocol is based on dividing the data to four queues; voice, video, best effort and background. The queues have different priorities to access the medium. The voice queue has the highest priority and its data will serve firstly. Using the default parameter values for EDCA protocol will lead to increasing the collisions in the wireless network and decreasing the capacity. In this paper, the limitation of supporting QOS in EDCA protocol was presented by using OPNET simulation and mathematical model. The new mathematical model was designed by using Markov chain mechanism to evaluate the performance of the EDCA protocol under saturation and non-saturation conditions, aimed to separate between uplink and downlink throughput with different data types. Moreover, the new algorithm was proposed to enhance the capacity of the EDCA protocol and increase the number of the active voice users. Through our algorithm, the throughput was increased by 38.3% and the EDCA can support 14 voice users rather than 11 in the default EDCA protocol. The evaluation of our new algorithm was verified by using OPNET simulation and mathematical model.

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“…layer of an IEEE802.11b WLAN system against the received SNR varied at the physical layer by varying receiver position for both single and multiple users on the network. According to Moltchanov, et al [8] and Khanduri and Rattan [9] IEEE802.11b WLAN system still maintains its place as the technology that provides the largest range even though it is an old technology. In applications where range rather than high data speed or bandwidth is more important; IEEE802.11b is preferred above other newer technologies.…”

Section: Transmission Control Protocol (Tcp) Presently Accounts For Omentioning

confidence: 99%

“…Different aspects of the performance characteristics of WLANs are captured by several developed models. The path loss and SNR process of IEEE802.11 wireless channels at the physical layer are captured by propagation models [9][10][11][12]. Data link and network layers characteristic are captured by Protocol data units (PDU) error models which include symbol, bit and frame error models [13][14][15][16].…”

Section: Brief Review Of Past Workmentioning

confidence: 99%

Investigation on the Dependence of TCP Upstream Throughput on Snr for Single and Multiple Links in a Wlan System

Oghogho

Emagbetere

2015

Review of Information Engineering and Applications

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An empirical investigation on the dependence of TCP upstream throughput (TCPupT) against signal to noise ratio (SNR) in an IEEE802.11b WLAN system was carried out in various environments and varieties of QoS traffic using an Infrastructure based IEEE802.11b WLAN system set up consecutively in various environments (open corridor, small offices with block walls or plaster boards and free space). Empirical models describing the TCPupT against SNR for different signal ranges (all signals, strong signals, grey signals and weak signals) were developed and validated for both single and multiple users on the network. Our results show a strong dependence of TCPupT on the received SNR which varied as the SNR values changed from high (strong signals) through low (grey signals) to very low (weak signals). Our models showed lower RMS errors when they and other similar models were compared with validation data. We observed RMS errors of 0.5605471Mbps, 0.4479389Mbps, 1.04536603Mbps and 0.5813471Mbps for the General, Strong signals, Grey signals and Weak signals models respectively for the single user scenario. We also observed RMS errors of 1.3319396Mbps, 0.9457431Mbps, 0.8092979Mbps and 0.4220292Mbps for the multiple users scenario. An appreciable difference was observed between the throughput behavior for single and multiple users on the network showing the inefficiency of the distributed coordination function and Point coordination function used in WLANs as access mechanisms. Our models will provide researchers and WLAN systems users with a tool to estimate the TCP upstream throughput in a real network in various environments by monitoring the SNR.

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Performance Comparison Analysis between IEEE 802. 11a/b/g/n Standards

Cited by 21 publications

References 6 publications

The impact of noise on detecting the arrival angle using the root-WSF algorithm

The impact of noise on detecting the arrival angle using the root-WSF algorithm

Markov Chain Model and Performance Enhancement for EDCA Protocol

Investigation on the Dependence of TCP Upstream Throughput on Snr for Single and Multiple Links in a Wlan System

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