Loss differentiation: Moving onto high-speed wireless LANs

Anwar, Ruwaifa; Nishat, Kamran; Ali, Mohsin; Akhtar, Zahaib; Niaz, Haseeb; Qazi, Ihsan Ayyub

doi:10.1109/infocom.2014.6848192

Cited by 18 publications

(7 citation statements)

References 12 publications

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“…As a result, in our experiments, we found most A-MPDUs to have a length of 4 or less. In indoor settings, however, we observed A-MPDUs of length 12 or more for the same MCS value [6]. We used iperf to generate traffic over UDP and the application sending rate was chosen to saturate the WiFi link.…”

Section: Evaluation Resultsmentioning

confidence: 99%

On the effectiveness of high-speed WLAN standards for long distance communication

Nishat

Anwar

Mehfooz

et al. 2014

2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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Long-distance WiFi networks are a cost-effective means for providing Internet connectivity in developing regions. In these regions, providing support for real-time applications is considered an important requirement. Unlike prior works, this paper studies the effectiveness of features (e.g., frame aggregation and channel bonding) of 802.11n/ac in improving the performance of long-distance WiFi links as well as their ability to support real-time applications. Towards this end, we established a 7.1 km link using commodity 802.11n equipment. Our results yielded a throughput of up to 36 Mbps by only changing 802.11 parameter values. In addition, we show that our setup also meets the delay and jitter requirements of real-time applications.

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Section: Evaluation Resultsmentioning

confidence: 99%

On the effectiveness of high-speed WLAN standards for long distance communication

Nishat

Anwar

Mehfooz

et al. 2014

2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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“…Some papers discuss frame aggregation method with BACK such as [42]- [46]. Anwar et al [47] designed a framework for packet loss differentiation with frame aggregation and BACK. Performance of IEEE 802.11n is analyzed in multi-hop environment using PHY enhancements [48] and MAC enhancements [49].…”

Section: Impact Of Frame Aggregationmentioning

confidence: 99%

“…It is becoming increasingly important since wireless data rate is scaling to Gbps. In [47], a loss differentiation framework, Burst Loss Monitor (BLMon), has been proposed. BLMon can differentiate losses accurately with minimal overhead.…”

Section: Impact Of Channel Bonding Over Upper Layer Protocols Using Qmentioning

confidence: 99%

Impact of IEEE 802.11n/ac PHY/MAC High Throughput Enhancements on Transport and Application Protocols—A Survey

Karmakar

Chattopadhyay

Chakraborty

2017

IEEE Commun. Surv. Tutorials

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Since the inception of Wireless Local Area Networks (WLANs) in the year 1997, it has tremendously grown in the last few years. IEEE 802.11 is popularly known as WLAN. To provide the last mile wireless broadband connectivity to users, IEEE 802.11 is enriched with IEEE 802.11a, IEEE 802.11b and IEEE 802.11g. More recently, IEEE 802.11n, IEEE 802.11ac and IEEE 802.11ad are introduced with enhancements to the physical (PHY) layer and medium access control (MAC) sublayer to provide much higher data rates and thus these amendments are called High Throughput WLANs (HT-WLANs). In IEEE 802.11n, the data rate has increased up to 600 Mbps, whereas IEEE 802.11ac/ad is expected to support a maximum throughput of 1 to 7 Gbps over wireless media. For both standards, PHY is enhanced with multiple-input multiple-output (MIMO) antenna technologies, channel bonding, short guard intervals (SGI), enhanced modulation and coding schemes (MCS). At the same time, MAC layer overhead is reduced by introducing frame aggregation and block acknowledgement technologies. However, existing studies reveal that although PHY and MAC enhancements promise to improve physical data rate significantly, they yield negative impact over upper layer protocols -mainly for reliable end-to-end transport/application layer protocols. As a consequence, a large number of schools have focused researches on HT-WLANs to improve the coordination among PHY/MAC and upper layer protocols and thus, boost up the performance benefit. In this survey, we discuss the impact of enhancements of PHY/MAC layer in HT-WLANs over transport/application layer protocols. Several measures have been reported in the literature that boost up data rate of WLANs and use aforesaid enhancements effectively for performance benefit of end-to-end protocols. We also point out limitations of existing researches and list down different open challenges that can be explored for the development of next generation HT-WLAN technologies.

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“…The paper of Giustiniano et al develops a transmitter‐side MAC/physical cross‐layer approach to measuring the transmission opportunities in 802.11 wireless local area networks, which explicitly classifies lost transmission opportunities into noise‐related losses, collision‐induced losses, and hidden‐node losses. The paper of Anwar et al uses loss patterns within aggregate frames and aggregate frame retries to achieve loss differentiation for high‐speed wireless local area networks. However, all the above methods are designed for 802.11‐based wireless networks, which are not applicable to resource‐constrained WSNs because of their moderate to significant measuring overhead and different physical and MAC‐layer technologies.…”

Section: Related Workmentioning

confidence: 99%

An effective discriminator for differentiating the root causes of packet transmission failures in indoor WSNs

Huang¹,

Chen

et al. 2016

Trans. Emerging Tel. Tech.

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It is well known that there are 2 kinds of causes, namely, channel errors and collisions, which lead to high probability of packet transmission failures in wireless networks. The ability of discriminating the above causes provides many opportunities for implementing high efficient networking protocols in wireless sensor networks. This paper presents EasiPLED, an effective discriminator that can accurately and timely predict these causes. EasiPLED has 3 salient features. First, it investigates frame‐level bit error rate (F‐BER) patterns and statistic characteristics of received signal strength indicator (RSSI) and link quality indicator through extensive indoor experiment studies. The F‐BER is measured at the receiver side by a coarse‐grained method without incurring any overhead. An adaptive RSSI estimator based on error‐based filter is proposed to mitigate effects of environment noises and hardware limitations on RSSI readings. Second, EasiPLED designs an off‐line classifier using machine learning method, which takes a combination of F‐BER and RSSI features as input and outputs the probability of dominant factor that causes transmission failures. Finally, it presents an on‐line discriminator to diagnose the cause of a failed transmission when it occurs at the receiver side, which achieves an accuracy by up to 95.4%. We evaluate the effectiveness of EasiPLED by applying it to link‐layer retransmission scheme and probabilistic polling protocol. Experimental results demonstrate that our method yields a reduction of single‐hop transmission delay by up to 47% and provides high packet delivery ratios as compared to the existing retransmission methods. The EasiPLED‐based probabilistic polling protocol achieves by up to 41.4% throughput gain over the existing method.

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Loss differentiation: Moving onto high-speed wireless LANs

Cited by 18 publications

References 12 publications

On the effectiveness of high-speed WLAN standards for long distance communication

On the effectiveness of high-speed WLAN standards for long distance communication

Impact of IEEE 802.11n/ac PHY/MAC High Throughput Enhancements on Transport and Application Protocols—A Survey

An effective discriminator for differentiating the root causes of packet transmission failures in indoor WSNs

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