Fine-Grained Channel Access in Wireless LAN

Fang, Jian; Tan, Kun; Zhang, Yuanyang; Chen, Shouyuan; Shi, Lixin; Zhang, Jiansong; Zhang, Yongguang; Zhang, Tan

doi:10.1109/tnet.2012.2212207

Cited by 40 publications

(23 citation statements)

References 20 publications

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“…It utilizes OFDM to divide a whole channel into orthogonal sub-channels. It shows that when compared to traditional 802.11 channel access FICA can improve the efficiency by up to 400% [5]. Similar research work has been undertaken in Jello [6], Picasso [7] and WiFi-NC [8].…”

Section: Recent Research Activitiessupporting

confidence: 58%

“…For example, the latest ratified 802.11n [1] and IEEE 802.11-2012 [2] standard improves the maximum data rate up to 600Mbps, while the data throughput efficiency (i.e the ratio between the network throughput and the PHY data rate) in an 802.11n network could be as low as 20% [3]. In next generation WiFi networks (802.11 ac/ad) throughput efficiency could be less than 10% [5].…”

Section: High-density Wifi: Problem Statementmentioning

confidence: 99%

“…Unfortunately when physical data rates increase significantly, sending larger aggregated frames become impractical. For example to achieve 80% efficiency in a 300Mbps 802.11n network frames should be 23KB long [5] which is unfeasible if delay constraints are to be met.…”

Section: High-density Wifi: Problem Statementmentioning

confidence: 99%

“…accounting for a range of simultaneous lower throughput demands and providing finer granularity within channels to increase efficiency when meeting these demands) is more difficult to tackle. In order to increase network efficiency in high-density WLANs, Kun [5] introduces a method named FICA (Finegrained Channel Access) that can allocate the spectrum resource at a thinner granularity. It utilizes OFDM to divide a whole channel into orthogonal sub-channels.…”

Section: Recent Research Activitiesmentioning

confidence: 99%

See 3 more Smart Citations

Mobile edge computing towards 5G: Vision, recent progress, and open challenges

Yu¹

2016

China Commun.

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Section: Recent Research Activitiessupporting

confidence: 58%

Section: High-density Wifi: Problem Statementmentioning

confidence: 99%

Section: High-density Wifi: Problem Statementmentioning

confidence: 99%

Section: Recent Research Activitiesmentioning

confidence: 99%

See 2 more Smart Citations

Mobile edge computing towards 5G: Vision, recent progress, and open challenges

Yu¹

2016

China Commun.

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“…This paper is related to past systems on timesynchronization. For example, SourceSync [45] and FICA [15] measure time-of-arrival to synchronize the transmissions of distributed access points. However, these systems mainly focus on estimating time-of-arrival as opposed to time-of-flight, which is dominated by packet detection delay, as we show in §5.…”

Section: Related Workmentioning

confidence: 99%

Sub-Nanosecond Time of Flight on Commercial Wi-Fi Cards

VasishtDeepak

Kumar

KatabiDina

2015

SIGCOMM Comput. Commun. Rev.

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Time-of-flight, i.e., the time incurred by a signal to travel from transmitter to receiver, is perhaps the most intuitive way to measure distances using wireless signals. It is used in major positioning systems such as GPS, RADAR, and SONAR. However, attempts at using time-of-flight for indoor localization have failed to deliver acceptable accuracy due to fundamental limitations in measuring time on Wi-Fi and other RF consumer technologies. While the research community has developed alternatives for RF-based indoor localization that do not require time-of-flight, those approaches have their own limitations that hamper their use in practice. In particular, many existing approaches need receivers with large antenna arrays while commercial Wi-Fi nodes have two or three antennas. Other systems require fingerprinting the environment to create signal maps. More fundamentally, none of these methods support indoor positioning between a pair of Wi-Fi devices without third party support.In this paper, we present a set of algorithms that measure the time-of-flight to sub-nanosecond accuracy on commercial Wi-Fi cards. We implement these algorithms and demonstrate a system that achieves accurate device-todevice localization, i.e. enables a pair of Wi-Fi devices to locate each other without any support from the infrastructure, not even the location of the access points.

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An enhanced frequency-domain contention scheme for IEEE 802.11 WLANs

Al-Mefleh

Al-Kofahi

2019

Telecommun Syst

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Fine-Grained Channel Access in Wireless LAN

Cited by 40 publications

References 20 publications

Mobile edge computing towards 5G: Vision, recent progress, and open challenges

Mobile edge computing towards 5G: Vision, recent progress, and open challenges

Sub-Nanosecond Time of Flight on Commercial Wi-Fi Cards

An enhanced frequency-domain contention scheme for IEEE 802.11 WLANs

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