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A distributed message in message aware concurrent transmission protocol in IEEE 802.11 WLANs

Authors
Kang, Young-myoungYoo, JoonLee, JoonsooKim, Chong-kwon
Issue Date
2012
Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
Keywords
WLANs; Concurrent transmission; Message in message (MIM); Capture effect; Scheduling
Citation
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, pp.1 - 13
Journal Title
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
Start Page
1
End Page
13
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/17541
DOI
10.1186/1687-1499-2012-325
ISSN
1687-1499
Abstract
The IEEE 802.11 distributed coordination function (DCF) employs the carrier sense technology to avoid frame collisions. However, recent measurement studies demonstrate that the physical layer (PHY) capture effect frequently occurs; even when frames collide, one of them can be decoded successfully if its relative signal strength is high enough. Furthermore, a new wireless PHY technology, called Message In Message (MIM), adopts an advanced preamble detection function to enhance the PHY capture effect. To fully exploit MIM in multi-collision environments, frame transmission orders have to be carefully scheduled. It also requires tight time synchronization at multiple access points (APs), thus induces large overheads. In this article, we propose an opportunistic concurrent transmission protocol called <Emphasis Type="ItalicUnderline">D istributed Opportunistic MIM-aware Concurrent Transmission (DOMCT) which exploits the MIM functionality in a distributed manner obliterating the centralized control. In DOMCT, APs first prepare interference MAPs to discover the possible simultaneous MIM transmission opportunities. Detecting the inadvertent frame transmission from a neighboring AP, an AP transmits another frame intentionally if both frames can successfully be decoded at destination nodes by the MIM capture effect. Through both analysis and extensive ns-2 simulations, we show that DOMCT outperforms the legacy DCF by up to 61% and observe comparable performance to that of the centralized approach.
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