Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Link Quality Analysis of mobile 802.11n
Search
Yongsen Ma
October 21, 2012
Research
0
63
Link Quality Analysis of mobile 802.11n
Weekly Meeting of 2012.08.09
Yongsen Ma
October 21, 2012
Tweet
Share
More Decks by Yongsen Ma
See All by Yongsen Ma
On-line Measurement and Modeling of Link Quality in Mobile Wireless Networks
yongsen
0
80
Handling Interference in Wireless Networks
yongsen
1
70
On-line and Dynamic Estimation of Rician Fading Channels in GSM-R Networks
yongsen
1
200
Radio Resource Measurement and Link Quality Analysis of 802.11
yongsen
1
130
Energy-efficient Algorithm and Cross-layer Protocol of Wireless Networks
yongsen
0
62
On-line and Dynamic Estimation of Rician Fading Channels in GSM-R Networks
yongsen
0
81
Other Decks in Research
See All in Research
EOGS: Gaussian Splatting for Efficient Satellite Image Photogrammetry
satai
4
350
問いを起点に、社会と共鳴する知を育む場へ
matsumoto_r
PRO
0
480
Type Theory as a Formal Basis of Natural Language Semantics
daikimatsuoka
1
270
【輪講資料】Moshi: a speech-text foundation model for real-time dialogue
hpprc
3
530
公立高校入試等に対する受入保留アルゴリズム(DA)導入の提言
shunyanoda
0
6.3k
Adaptive Experimental Design for Efficient Average Treatment Effect Estimation and Treatment Choice
masakat0
0
150
2025年度人工知能学会全国大会チュートリアル講演「深層基盤モデルの数理」
taiji_suzuki
24
17k
Google Agent Development Kit (ADK) 入門 🚀
mickey_kubo
2
1.3k
Creation and environmental applications of 15-year daily inundation and vegetation maps for Siberia by integrating satellite and meteorological datasets
satai
3
160
NLP2025参加報告会 LT資料
hargon24
1
340
「どう育てるか」より「どう働きたいか」〜スクラムマスターの最初の一歩〜
hirakawa51
0
420
Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
satai
3
120
Featured
See All Featured
Balancing Empowerment & Direction
lara
1
510
GitHub's CSS Performance
jonrohan
1031
460k
Typedesign – Prime Four
hannesfritz
42
2.7k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
231
53k
Building an army of robots
kneath
306
45k
How to train your dragon (web standard)
notwaldorf
96
6.1k
Optimising Largest Contentful Paint
csswizardry
37
3.4k
Building Better People: How to give real-time feedback that sticks.
wjessup
367
19k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
357
30k
Writing Fast Ruby
sferik
628
62k
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
283
13k
RailsConf 2023
tenderlove
30
1.2k
Transcript
µ0 3‚ï 5Uµ £Ä802.11n äó´Ÿþ©Û 3‚ÿÁ!ï †ýÿ ê [Ü September
18, 2012 ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ Jj 1 µ0 802.11n IO9A^ 802.11n #Eâ
¯K9ƒ'óŠ 2 3‚ï ÿÁ•{ PDR-RSSï „Ç· Ž{ 3 5Uµ ÿÁŽ{µ óéþµ ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ 802.11n IO9A^ 802.11n #Eâ ¯K9ƒ'óŠ Jj 1
µ0 802.11n IO9A^ 802.11n #Eâ ¯K9ƒ'óŠ 2 3‚ï ÿÁ•{ PDR-RSSï „Ç· Ž{ 3 5Uµ ÿÁŽ{µ óéþµ ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ 802.11n IO9A^ 802.11n #Eâ ¯K9ƒ'óŠ 802.11IOuІA^ •
IEEE 802.11´Ã‚Û• (WLAN) ÆI O§l1997c1˜g ªuÙ y3˜†kX 2• A^§'X1999c¤á Wi-Fié†" • l•Ð 802.11 ©IO(2M,2.4G) 5 802.11a(54M,5G)Ú802.11g(54M,2.4G)§2 802.11n(150M/stream,2.4/5G)§802.11‡N ÂÏ&Eâ •#?Ð" • 59% {I¤c<ÏL)P Wi-Fi½Ã Åþ §•,LTE!WiMax!4G Eâ•3¯ „uЧ802.11E,¬Ók˜½° §'X8 cïÄ õ 802.11sÚ802.11p§±9m©Ý \A^ 802.11acÚ802.11ad" ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ 802.11n IO9A^ 802.11n #Eâ ¯K9ƒ'óŠ Jj 1
µ0 802.11n IO9A^ 802.11n #Eâ ¯K9ƒ'óŠ 2 3‚ï ÿÁ•{ PDR-RSSï „Ç· Ž{ 3 5Uµ ÿÁŽ{µ óéþµ ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ 802.11n IO9A^ 802.11n #Eâ ¯K9ƒ'óŠ 802.11n PHY/MAC#Eâ
PHY Eâ MIMOµæ^õU‚9˜mE^Eâ§J,PHYóéþ9C X‰Œ§ÓžJpXÚ-½5¶ HT20/HT40µæ^(¹& Eâ§•Ð/)û1Å f! Ûõ/ ³ªà ¯K" MAC Eâ A-MPDUµvàÜEâ=õ‡v ^˜‡MACÞܧӞ ü$ACKuxªÇ§ü$ux/ Âm•§JpDÑ Ç¶ SGIµ400ns om…§ü$žmm•§JpMACóéþ" 802.11næ^PHYÚMAC ˆ‘#Eâ§l y•p óéþ†CX‰Œ" ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ 802.11n IO9A^ 802.11n #Eâ ¯K9ƒ'óŠ Jj 1
µ0 802.11n IO9A^ 802.11n #Eâ ¯K9ƒ'óŠ 2 3‚ï ÿÁ•{ PDR-RSSï „Ç· Ž{ 3 5Uµ ÿÁŽ{µ óéþµ ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ 802.11n IO9A^ 802.11n #Eâ ¯K9ƒ'óŠ 802.11n äÿÁ†
˜ 802.11n PHY/MAC#E⦠äÿÁ† ˜••E, DÚ Ã‚ ä ˜½ÄuÌÄ&ÿ§½Äu ½PDR-RSS .§3802.11n ä¥Ã{÷võ« ˜9pDÑ„Ç ‡¦" Xã1c¤«§3¤k ÀJ HT/GI/MCS ˜¥§Œ 34%á \LÞI•¥§$–k8% ˜¦ PDR<10%§ù«œ¹3 £Ä802.11n 䥕•²w" PDR-RSS Model PDR RSS Model Measure Rate Adaption TX RX Probe Predict Database Channel Access Power Control Routing PHY/MAC Settings Application (a) 0 20 40 60 80 100 -90 -80 -70 -60 -50 -40 PDR(%) RSS(dBm) δ- δ+ HT20/LGI MCS 8 MCS 10 MCS 12 MCS 14 (b) 0 0 0 0 -90 -80 -70 -60 -50 -40 -30 -20 HT/GI/MCS RSS(dBm) HT20/LGI HT20/SGI HT40/LGI HT40/SGI 15 15 15 15 transition window selected MCS (c) ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ 802.11n IO9A^ 802.11n #Eâ ¯K9ƒ'óŠ ¯K Ï
ó´Ÿþ ˜m-žmõ 59 ä ˜ õ 5 1 · ÿÁ•{Ã{·Aó´Ÿþ ˜m-žmCz§3 p DфdžPDR]žü$ž§¦ ÿÁ(J p¶ 2 õ ˜O\ÿÁ†ÀJE,5§ØÓ ˜ LÞI•5ŸØ Ó§éuÌÄ&ÿÚ ½ .§Ñ¬O\¢– E,Ý" -100 -80 -60 -40 -20 0 0 20 40 60 80 100 RSS(dBm) LOS NLOS -85 -80 -75 0 20 40 60 80 100 0 20 40 60 80 100 PDR(%) Time(s) (a) 0 0.2 0.4 0.6 0.8 1 -90 -60 -30 0 CDF RSS(dBm) T2, r4 T2, r5 T2, r6 (b) 20 40 60 80 100 0 1 2 3 PDR(%) Time(s) static Δt=10ms Δt=50ms Δt=100ms (c) ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ 802.11n IO9A^ 802.11n #Eâ ¯K9ƒ'óŠ )û•Yµ3‚PDR-RSSï µe
•I© ÿÁµDSWA Ôn µRSS/SNR/SINR/CSI ó´ µDѤõÇ(PDR) 3‚¢ÿ .µGradedM Ôn µMIMO§HT20/HT40 ó´ µLGI/SGI þ ] © µGradedR APsµ& \!ªÌ+n STAsµ„Ç››!´dÀJ Database PDR-RSS Model PDR RSS HT-GI-MCS Index Model Application Measure GradedM GradedR DSWA HT-GI-MCS Channel Access Power Control Routing Rate Adaption TX RX Update PHY/MAC Settings 1 éó´Ÿþ˜m-žm9 ˜õ 5§æ^Ä wÄI•²þ§J pÿÁ°Ý¶ 2 æ^3‚ÿÁ†ï •ª§O( •x c ˜e äG §•þ A^JøŒ‚&E¶ 3 (ÜÄ ÿÁ†3‚ï §Jp„ Ç· Ç" ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ ÿÁ•{ PDR-RSSï „Ç· Ž{ Jj 1 µ0
802.11n IO9A^ 802.11n #Eâ ¯K9ƒ'óŠ 2 3‚ï ÿÁ•{ PDR-RSSï „Ç· Ž{ 3 5Uµ ÿÁŽ{µ óéþµ ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ ÿÁ•{ PDR-RSSï „Ç· Ž{ DѤõÇÿÁ . éuz‡uxêâ•i(i
= 1, 2, 3...)§Ù ÂG xi Œ±½Â •lÑ‘ÅL§§dxi = {0, 1}L«§Ù¥xi = 1L«1i‡ ê╤õ Â" z˜‡uxê╠¤õVÇ•P(xi = 1) = pi §Œ± dSINR .5•x§½öÄu¢ÿêâ PDR-RSS ." pi = Prob[SINRi(t) > δ] = Prob[ Ri(t) Ii(t) + n > δ] (1) Ù¥SINRi(t) •&D', δ•SINR€•ЧRi(t)• Â&Ò rݧIi(t)•&ÒZ6§n• µD(§˜„• ½Š" ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ ÿÁ•{ PDR-RSSï „Ç· Ž{ DѤõÇÿÁ . 3·
 䥧Œ±@•SINR½RSS3 ážmS ±ØC§Ïd٠ɤõVÇŒ±w‰~ê§xi •ÕáÓ© ÙCþ…kP(xi = 1) = pi = p§džS {xi}{z•Ëã| L§" 3£Ä 䥧du!: £Ä59Ù‘5 õ» A§\þ ä ˜ É5§¦ äG äk²w žCA:§Ny3ÿÁ .þB´ ¤õVÇpi ‘Xi ØÓ Cz" ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ ÿÁ•{ PDR-RSSï „Ç· Ž{ · äPDRÿÁ•{ EWMA:
ˆ Pw [k] = α ˆ Pw [k − 1] + (1 − α)P[k] 1 EWMA \ ÏfαéÿÁ°ÝkéŒK•§3¢SÿÁL §¥§\ Ïf˜„30.1 0.4ƒm?1À " ½ αŠ ¦ ÿÁ°(ÝN´É .‚¸† ä ˜Cz K•¶ 2 EWMA I••ÝÓ K•ÿÁ°Ý§· ä¥I•• ݘ„• ½Š(100ms½50ms)§ ä$13pDÑ„ Çž§EWMA¬¢¦KPDR ]žeü" 0 1 xi Last Window W; P[k-1] Current Window W; P[k] ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ ÿÁ•{ PDR-RSSï „Ç· Ž{ £Ä äPDRÿÁ•{ DSWA:
ˆ Ps[k] = βP [k] + (1 − β)P[k] £Ä802.11n ä¥ PDRÿþ§Q‡·A‚¸CzE¤ ä G ]žÅħq‡÷võ« ˜ÀJ ‡¦" 1 ÏLwÄÏfβÀ þ˜gOŽ¥‚C cž• Ü©ê â§ü$PDR ]žCzéÿÁ(J K•¶ 2 I••ÝW•¯‡°Ä…† ä ˜Ã'§ ´Šâ c äG Cz§éÿÁ°Ý†m•?1²ï" 0 1 xi Last Window W(k-1,n) ; P[k-1] Current Window (1-β(k,n) )W(k,n) ; P[k] xi = 0 xi = 1 β(k,n) W(k,n) ; P'[k] Sliding Window ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ ÿÁ•{ PDR-RSSï „Ç· Ž{ £Ä äPDRÿÁ•{ DSWA:
ˆ Ps[k] = βP [k] + (1 − β)P[k] 0 1 xi Last Window W(k-1,n) ; P[k-1] Current Window (1-β(k,n) )W(k,n) ; P[k] xi = 0 xi = 1 β(k,n) W(k,n) ; P'[k] Sliding Window W(k,n) = n i=1 ωi γi ηi n i=1 ωi (2) β(k,n) = 1 + n i=1 ωi γi n i=1 ωi (3) Ù¥γi •PDRCzÏfµ γi = 1+P[k −n+i]−P[k −n+i −1], 1 ≤ i ≤ n, ωi •\ Ïfµ ωi = 1 2 n−i 2 , 1 ≤ i ≤ n ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ ÿÁ•{ PDR-RSSï „Ç· Ž{ Jj 1 µ0
802.11n IO9A^ 802.11n #Eâ ¯K9ƒ'óŠ 2 3‚ï ÿÁ•{ PDR-RSSï „Ç· Ž{ 3 5Uµ ÿÁŽ{µ óéþµ ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ ÿÁ•{ PDR-RSSï „Ç· Ž{ PDR-RSS .•x 1
& a.(HT20/HT40)µHT40•N´É‚¸CzK•§ƒ Óœ¹e٠€••p§…LÞI••Ý••¶ 2 DÑ„Ç(MCS)µ €•‘XDÑ„Ç Jp OŒ§ MCSpu14žI••ÝŒu10dB¶ 3 om…(LGI/SGI)µ3 $„ÇžÄ vk«O§ MCS pu14žSGIŒ±²wJ,PDR§cÙéuHT40& " 0 10 20 30 40 50 60 70 80 90 100 -90 -80 -70 -60 -50 -40 -30 -20 PDR(%) RSS(dBm) HT20/SGI MCS 8 MCS 10 MCS 12 MCS 14 0 10 20 30 40 50 60 70 80 90 100 -90 -80 -70 -60 -50 -40 -30 -20 -10 RSS(dBm) HT40/SGI MCS 8 MCS 10 MCS 12 MCS 14 (a) GI = 400ns 0 10 20 30 40 50 60 70 80 90 100 -90 -80 -70 -60 -50 -40 -30 -20 PDR(%) RSS(dBm) HT20/LGI MCS 8 MCS 10 MCS 12 MCS 14 0 10 20 30 40 50 60 70 80 90 100 -90 -80 -70 -60 -50 -40 -30 -20 -10 RSS(dBm) HT40/LGI MCS 8 MCS 10 MCS 12 MCS 14 (b) GI = 800ns 0 10 20 30 40 50 60 70 80 90 100 -90 -80 -70 -60 -50 -40 -30 -20 PDR(%) RSS(dBm) HT20/MCS15 SGI LGI 0 10 20 30 40 50 60 70 80 90 100 -90 -80 -70 -60 -50 -40 -30 -20 -10 RSS(dBm) HT40/MCS15 SGI LGI (c) MCS 15 ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ ÿÁ•{ PDR-RSSï „Ç· Ž{ 3‚PDR-RSSï Ž{ ÏLЩz¼
© PDR-RSS .§ ¿;•uGradedT¥§ ëêu)Cz ž?13‚•#§éGradedT?1üS ¼ HT/GI/MCS¢Ú" T¢Ú‡A ¤k ˜3 cG eŒ ¼ 5U§Œ±Š•PHY/MACëêJ ø‰þ A^" c ˜ePDR<90%½RSS< δ+ §½ öPDRÚRSS±Y-½§ Ã{÷v„ ÇI¦§Šâht-gi-mcs-table-#ÀJÜ · ˜" ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ ÿÁ•{ PDR-RSSï „Ç· Ž{ Jj 1 µ0
802.11n IO9A^ 802.11n #Eâ ¯K9ƒ'óŠ 2 3‚ï ÿÁ•{ PDR-RSSï „Ç· Ž{ 3 5Uµ ÿÁŽ{µ óéþµ ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ ÿÁ•{ PDR-RSSï „Ç· Ž{ Ž{ O†¢y DѤõÇ•I
ÏLath9kNÁ8¹e ÚOêâ?1O޵ ”/sys/kernel/debug/ieee80211/phy0/ath9k/rcstat” ”/sys/kernel/debug/ieee80211/phy0/ath9k/xmit” ”/sys/kernel/debug/ieee80211/phy0/ath9k/recv” Wireless device Linux kernel xmit.c rc.c recv.c tx rx ath9k nl80211 cfg80211 mac80211 ieee80211 P(.) Ra (.) Rc (.) D(.) G(.) D(.): DSWA G(.): Graded Model P(.): Packet Delivery Rc (.): Rate Control Ra (.): RSS Average W,β PDR RSS η,γ [δ- ,δ+ ] Network Layer Device Layer DSWA.c GradedM.c ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ ÿÁŽ{µ óéþµ Jj 1 µ0 802.11n IO9A^
802.11n #Eâ ¯K9ƒ'óŠ 2 3‚ï ÿÁ•{ PDR-RSSï „Ç· Ž{ 3 5Uµ ÿÁŽ{µ óéþµ ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ ÿÁŽ{µ óéþµ ÿÁ°Ý9m•µ DSWAÿþØ µ E[∆PDRs[k +
1]] = E[βP [k] + (1 − β)P[k + 1] − pn ] = βE[P [k]] + (1 − β)E[P[k + 1]] − pn = βp [k] + (1 − β)p[k + 1] − pn (4) D[∆PDRs[k + 1]] = D[βP [k] + (1 − β)P[k + 1] − pn ] = β2D[P [k]] + (1 − β)2D[P[k + 1]] = β2q [k] + (1 − β)2q[k + 1] (5) Ù¥pn = p(k+1)W−kT •O(Чp [k]!p[k]Úq [k]!q[k]©Oé Aupi †pi(1 − pi)31kgOޱÏS OŠ ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ ÿÁŽ{µ óéþµ ÿÁ°Ý9m•µ \ Ž{†wÄŽ{ÿÁØ é' 0
200 400 600 800 1000 0.0 0.2 0.4 0.6 0.8 1.0 Pacekts Transmitted Packets Received Probability (a) ÂVÇ Packet Delivery Ratio Measurement Error 0 10 20 30 40 50 0.4 0.2 0.0 0.2 0.4 0.6 0.8 1.0 Compute Cycles (b) \ Ž{(α = 0.5) Measurement Error Packet Delivery Ratio 0 10 20 30 40 50 60 70 0.4 0.2 0.0 0.2 0.4 0.6 0.8 1.0 Compute Cycles (c) wÄŽ{(β = 0.3) 3ƒÓ^‡e§wÄŽ{ƒéu\ Ž{äk•p ž 5§Ó žÙÿÁØ •$"wÄŽ{ ÿÁØ ˜„$u0.010§… β = 0.3ž§ÙØ $u0.001§ \ Ž{ ÿÁØ 30.019 0.032ƒm" ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ ÿÁŽ{µ óéþµ ÿÁŽ{°Ý9m•µ oN ÿÁØ •¡§DSWA²w$uEWMA¶l\ȩټꌱwѧEWMAÿþ Š–•pu¢SжDSWA
I••Ý•‹ äG k'§†DÑ„ÇÃ'§ éuD Ñ„Çl6.5Mbps 300Mbps§EWMAŽ{ I••ÝlW = 20 O\ W = 500§ W = 500žEWMA¬¢¦KPDR]žeü &E" 0 0.2 0.4 0.6 0.8 1 -1 -0.5 0 0.5 1 CDF Error DSWA EWMA (a) 100 200 300 400 0 10 20 30 40 50 W 0.5 0.6 0.7 0.8 0.9 1 0 10 20 30 40 50 β 0 20 40 60 80 100 0 10 20 30 40 50 PDR(%) Time(s) accurate measured (b) ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ ÿÁŽ{µ óéþµ Jj 1 µ0 802.11n IO9A^
802.11n #Eâ ¯K9ƒ'óŠ 2 3‚ï ÿÁ•{ PDR-RSSï „Ç· Ž{ 3 5Uµ ÿÁŽ{µ óéþµ ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ ÿÁŽ{µ óéþµ óéþJ, 0 50 100 150
0 20 40 60 80 100 Throughput(Mbps) Time(s) {5%,32%} {0%,9%} GradedR Minstrel (a) 1x3 0 50 100 150 200 250 0 20 40 60 80 100 Throughput(Mbps) Time(s) {8%,34%} {0%,8%} GradedR Minstrel (b) 2x3 0 50 100 150 200 250 300 0 20 40 60 80 100 Throughput(Mbps) Time(s) {0%,5%} {9%,42%} GradedR Minstrel (c) 3x3 0 50 100 150 -80 -70 -60 -50 -40 -30 -20 Throughput(Mbps) Ave. RSS(dBm) Minstrel-EWMA Minstrel-DSWA GradedR (d) 1x3 0 50 100 150 200 250 -80 -70 -60 -50 -40 -30 -20 Throughput(Mbps) Ave. RSS(dBm) Minstrel-EWMA Minstrel-DSWA GradedR (e) 2x3 0 50 100 150 200 250 300 -80 -70 -60 -50 -40 -30 -20 Throughput(Mbps) Ave. RSS(dBm) Minstrel-EWMA Minstrel-DSWA GradedR (f) 3x3 ê [Ü £Ä802.11n äó´Ÿþ©Û
µ0 3‚ï 5Uµ ÿÁŽ{µ óéþµ óéþJ, •I© ÿÁµDSWA Ôn µRSS/SNR/SINR/CSI
ó´ µDѤõÇ(PDR) 3‚¢ÿ .µGradedM Ôn µMIMO§HT20/HT40 ó´ µLGI/SGI þ ] © µGradedR APsµ& \!ªÌ+n STAsµ„Ç››!´dÀJ Database PDR-RSS Model PDR RSS HT-GI-MCS Index Model Application Measure GradedM GradedR DSWA HT-GI-MCS Channel Access Power Control Routing Rate Adaption TX RX Update PHY/MAC Settings 1 ©ÛHT/GI/MCSˆgéUþžÑ K•§•xÑØÓ ˜ ü U ÑeóéþA5¶ 2 (ÜXÚéUцóéþ n܇ ¦§ OUþk ªÌ© ½„ Ç· Ž{" ê [Ü £Ä802.11n äó´Ÿþ©Û