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Network management / Information / Multi-user MIMO / MIMO / IEEE 802.11n-2009 / IEEE 802.11 / Throughput / Channel capacity / Hidden node problem / Information theory / Radio resource management / Telecommunications engineering


Rate Adaptation for[removed]Multiuser MIMO Networks Wei-Liang Shen†‡ , Yu-Chih Tung† , Kuang-Che Lee† , Kate Ching-Ju Lin† , Shyamnath Gollakota◦ , Dina Katabi♯ and Ming-Syan Chen†‡ ‡ †
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Document Date: 2012-07-17 20:03:22


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City

Istanbul / /

Company

MU-MIMO / IAC / TurboRate / /

Country

Turkey / /

Currency

USD / /

Event

FDA Phase / /

Facility

University of Washington / National Taiwan University / /

IndustryTerm

carrier frequency / large scale network / adaptation protocol / distributed rate adaptation protocol / link layer protocols / inner product / random access network / large network / software radio / proposed rate adaptation protocol / Wireless LANs / bit rate adaptation algorithms / rate selection algorithms / inter-carrier interference / above protocol / software package / rate adaptation algorithm / /

Organization

University of Washington / Research Center / Massachusetts Institute of Technology / Computer Systems Organization / National Taiwan University / Academia Sinica Department of Electrical Engineering / /

Person

Wei-Liang Shen / Dina Katabi / Ming-Syan Chen / Kate Ching-Ju Lin / /

Position

hb / vector hb / CFO / Computer-Communications Networks General / /

Product

N200 / N200 radio platform / This solution / SAM / MU-MIMO LANs / /

ProvinceOrState

Massachusetts / /

Technology

LAN / above protocol / 802.11 bit rate adaptation algorithms / distributed rate adaptation protocol / smart phones / rate adaptation algorithm / adaptation protocol / bit rate adaptation algorithms / MAC protocol / random access / simulation / rate selection algorithms / proposed rate adaptation protocol / existing link layer protocols / proposed protocol / /

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