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Intra-flow Loss Recovery and Control for VoIP Henning Sanneck Adam Wolisz

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Intra-flow Loss Recovery and Control for VoIP Henning Sanneck Adam Wolisz
Intra-flow Loss Recovery and Control for VoIP
Henning Sanneck
Nguyen Tuong Long Le
Adam Wolisz
GMD Fokus
Kaiserin-Augusta-Allee 31
D-10589 Berlin, Germany
GMD Fokus
Kaiserin-Augusta-Allee 31
D-10589 Berlin, Germany
[email protected]
[email protected]
Technical University Berlin,
Telecommunication Networks
Group, Sekr. FT 5-2
Einsteinufer 25
D-10587 Berlin, Germany
[email protected]
ABSTRACT
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Copyright © 2001 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of all or part of this work for personal
or classroom use is granted without fee provided that copies are not made
or distributed for profit or commercial advantage and that copies bear this
notice and the full citation on the first page. To copy otherwise, to republish,
to post on servers or to redistribute to lists, requires prior specific permission
and/or a fee. Request permissions from Publications Dept, ACM Inc., fax
+1 (212) 869-0481. or [email protected].
To appear in ACM MULTIMEDIA ’01 Ottawa, Canada
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Categories
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1.
INTRODUCTION
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(%
)
(%
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et
ck
utility (%)
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s
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te
pa
50
+1
ra
ss
50
utility contribution
of the +1 packets
with loss recovery
ss
ra
te
lo
a)
100
s
100
lo
of the -1 packets
50
100
loss rate [all packets] (%)
(%
)
50
100
loss rate [all packets] (%)
-1
p
utility (%)
50
los
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rat
e
+1
p
rat
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50
los
s
b)
100
ack
ets
(%
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ack
ets
100
50
100
loss rate [all packets] (%)
50
100
loss rate [all packets] (%)
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State
000
001
010
011
100
101
110
111
Probability of
being in the state
0.8721
0.0208
0.0142
0.0102
0.0208
0.0036
0.0102
0.0481
Probability
of l(s)=0
0.9779
0.6112
0.8819
0.2710
0.9278
0.4198
0.8109
0.1539
Probability
of l(s)=1
0.0221
0.3888
0.1181
0.7290
0.0722
0.5802
0.1891
0.8461
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4
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8!4!B!K(*Š(*#!T1=-8Q $ý r[#!";!-"!09(*#!T
T65*0(*(WL1"!0*#!TALJ65J8Q
r o F€G9!
0#!#!14Y@0JB!"C4/L!@%2=@65&"!( k ägiFIƒ o 9!*:
&B![eD)6H=9!;4!B!N()[(*#!TS=18Q \ý r@#!"
!#7/B!T(LB!#!"!*6@=AWA8j
r&F@,.#/*#!T(L)'I8Q
—N)<GŠ*(?'!*($4i65&"!(*N0JB!$!$i$8!5
B(B!D)'K!](e1"!$65&"!(+*16@]B!\*#C!
6H=*#OF\G9!*A0#C4YHv&!(3*#!"t;8Q(*(*00R;*8+!H4!B!
(*I(*#!TA!44!*(**ŠX*#;8j€(*[T65*0()"!*
*4!BJ*#O'&!N*6@[6@[)4!B!98I((Y";**#!(*B!"!"
k #!-=K!9B!#J(#!T@4"@!!ev&*6H=*#1)8i!-#!"!
ý_úCø
ý_ú2o #!(L]*#!(B!"![()
*#(P(*!44!*(*W%LVõ k
B!#J(*#!TV/B!#![(3T-)-g&B( ú RXägiF ½ o F
^
A
‡
^ V#!(Lt"!*B!$!VB!(W5g&B(*=D)(WLt!]>TD)2#
v!65!(*$!eÒ#>*#/=adeæ(*E#))((*T!6ìi8Q6@
#!"\1!eb!eb()65&"!(*0#]0JB!N!*-i8Q6H#!F
—N*(*$#C!]*61B!(3=*#C#*#!"‚6@:$0#t4Y
8Q)B!#!"V*#7„ ½ re–F
3
4
5
6
burst length k
7
8
9
10
‹
5.2
Sensitivity due to ADU heterogeneity
,.#yT!`âJF ½ F r<20D)S#x=H#!DJW%LtC{[—Nh
!T#!W%LVB!(*#S$*#V#!)#J?Y*&"!*A(*9=#OF
G9/B!0';y65#!*6
= k S#!0 o !C#!"!S*<#!L
!:}"!D)5=@=#}8Q)6å!]D/*2"=JFxMB!!
65)'i#Vv&!(**W[&Y)#V4Y.#2#!"Ja#!"S#!"2!J
4/L/!V6@:#!*6@-*-#!L k MŠ*T!F!ƒ o F
E
‚ 1
2
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†iÍy‘i‹‰O‘YÌt‘iŽIÎ
ŒJ•‹=j‡>‘!‹0ŒJÎ
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ʋ“A†t•‹0‘!‹0ŒS‰€Ž¶:Ì3Œ!ŽP°!‹ËO¶è€‘•ŒJÎ_‡>†OÎIŒ!ÌNÏ VaÌ3èŒ&0‹Ñ
MŠ*TB! ½½ #!" ½ r1!eb!E=98Q9!AB(P#!"V!E
*6@"4!B!A()(*#!T!E8QE\! kaúåý r o #!">
% ý = kaúÿý
½ ' p *(*4i o 65&"!(iWD/(L F ^ ]#
4!D)[=9—N
¸[ä—wi-!4!B!9!44!(*%L@B!D)*#
!V"!*"}-0L)F n )@8!V!)44!*(%Lt6H5@#!#J
="7=A*(3="(* k !5*"!0(4i0D&*B!-B!(*">4i$!
&B!#!H8+#!(L(3=">(* k ý
½ o 9!*:>0#74i@:v&
!"5W :ö ý Ô *#56@8 p *(*4i+65&"!(6@ o F
1
gq
…;†‡>ˆI‘Q•†ŽÞ†YÍy‘i‹‰P‘iÌt‘YŽPÎ
Œ&•‹j‡>‘J‹eŒ&Î
È 3°‰P=ŒåÉiÉiÊ
èK‰P•‹HÌ3†Y•0•@ÌQŒJŽP°‹=Ëx=‘!‹0ŒJ•1‘i•$‘7Í.‰€ŽI‹3†Ž}†YÍ9芉P•‹\Ì3Œ!ŽP°!‹Ë
ÊN‹ËPeŒ&Œ<•‹0‘!‹0ŒS‰IŽO¶:Ì3Œ!ŽO°‹Ë¶è€‘•ŒJÎ_‡>†PÎIŒJÌ
´
Drop Tail
DiffRED
Drop Tail (estimated)
DiffRED (estimated)
−1
burst loss length rate gk, estimated burst loss length
−1
10
run−length model (m=1): Gilbert model
0
10
B!N!B!(W98IT!2âJF rE$"!D)(*21#!b
6@/*#!T!6@X0(*(*"1˜&Y: l i%L/."$˜&(*WD/X—N*83
o FG-!—N,.MŠM€
8Q#)3( l n &*#!T k ˜ l X—N,.MŠM n {[¸
n {[¸ ×:!6@;#!#)N!$!*T!N!*.LS:N#
!H8Q65;#/3(2!Hit*T#(#!"C(*1#7!
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^
Y·
U·
MŠ*TB! ½ âH!e[!1*65!(*1(T)!6àW#<*#H!B!"!
o #J
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7#!W*#OF
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k !!5:EE#! o 'O56@!(*0L]6@!(*$(*T!6
N#!";!-#!L% ½ N):K8QŠ6@i#!=*# k ägiF Ó o R
834!B!X8i/Ù ½ E):4i#$#)0'&[i#!"!*#!T
#&B!614iK8Y ½ :K*K#)X6@65"!3=(LFŠ˜/94YBJK!
#!L>#/B!614YA8+4i#/A ½ 2:E*AJ;*#!
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!\Ù ½ Û ù ½ 4!B!E*650'P!56@#>(*E8QE!5deÄ*((4Y
g/B(Š]!5)4iA
]0 k ägiF Ó o F
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D(*B!V#!"‚"!U#!$!e×6H#/L78Q65$=$!\4iT*#!#!*#!T)8
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k "!i#!"!*#!TH#V!E#!%\(*#!"!*# o FX,.#
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à ¼»”¾Ä¿DÅ;ÆOÇ Ã »”Ä[ÈɾÊhË
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Í Ã Æ£ºa»E¼½E¾p¿h½ÉÓÔÂË
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ÊE¾Ïl×ÙÆOÇ Ã »”ÄÈѾÊÚlÛWدÜÛ[Ë
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ÊE¾Ïl×ÙÆOÇ Ã »EÄÈѾÊÚlÛfÝÉÜhÛfË
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ÊE¾Ïl×ÙÆOÇ Ã »”ÄÈѾÊÚlÛWدÜÛ[Ë
¾Ì ʔ¾
ÊE¾Ïl×ÙÆOÇ Ã »”ÄÈѾÊÚlÛ[ÂÛfË
¾Ïl×lÍ Ã
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¾Ïl×lÍ Ã
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Mˆ š œ ¶ \é
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È9È í
D(B!;8Q)[#/D);Y:2#!65**#!eD)!;,.#/#!
k r Ô ú2÷ 8JB!"!*9"=9iP): o F€{t(3TO#&B!614iP8
B!(*"
!(*2H"!B!;!;(3=D)AeD)!0"S)8Š!;!&(€!0"!
4!BJ-(A*#!0+![:z0=*#H"!(3LH#!"\6@+#!"!
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k "!B!5$(3T9(*9T) o 65)N"!Ú@B!(0F
5.2.1
End-to-end simulation description
—NB!1H!1#!)#J?Y*&"!*$(*N=#O'1#!"<\vJ!(*(L
/3=;@"!)<!44!*(*.L]<@*#!T(*;[!##
#!"J??#!"y6@/"!(?F`G9!8jV2B!S>=2#!=
n eDC65&"!( k +#!B!*(*(*+6@/"!( o <"!4Y\!]#!.)
4Y0DJ*B!@@#}4/L‚0:}(3@8N0Fx)@
: k "!*T#="@4/L5 Ô A*#HMŠ*T!F ½ ƒ o "!!Y"@5!
!44!(*%L
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#!"
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k MŠ*T0F ½)½ #!" ½ r o !*D)$S8j*$65B!#/18
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L ¤ 1g
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8Q)T)B!#!"2#!"V4&TB!#!"V=Ú@B!0F
Marking Scheme
NO MARK
Network Model
0
FULL MARK
0
0
0
0
p0
0
p
+1 +1 +1 +1 +1 +1
0
+1 p
0 +1
p
SPB MARK
0
+1 +1
ALT MARK
0
+1
SPB DIFFMARK
0
+1 +1 -1 -1
ALT DIFFMARK
-1
0
0
+1
+1
0
+1
0
0
+1 p
+1
0
0
p
-1
p-1
0
+1 -1
+1 -1
+1
tŒ
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o FIMŠ*#(*(L)'Š;8-!B!H)4i1
2d0
k à Z
n {[¸ åS*#
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MŠ*T!F ½ ƒ o FHMiE!H˜ l 6H&#!T2!65E!@i#)T)@8
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i$6H=*(/B!"OF ^ -4J*#!"1*65*(3€6@&*#!T[Y#/
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Y·
Y·
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Y·
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5.2.2
Results
MŠ*TB! ½eÓ !0E!@YJB(+"!**#>8jE!@6@/*#!T
;1g
!65"!i#!"!#)N#2!E"!)V!)44!*(%L
)F+G9!AB!#!!
" k à Z n {[¸ o [!1!T)!NiJB(Š"!*
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#/3(
o S}*T#!U#)(L
6@/*#!Tx!65 k ˜ l X—N,.MŠM n {[¸
4iAY:7g/B(%L<D)#!#>#!(LB!*#!T2V#!:%<
DJE9!*:265B!#/@4i[:
)$*#V!A()#!T$6VF à =A!@{[ºJG—N,.MŠM n {[¸ ë6H/*#!TV=TL"!&;#!A"!*83
8Q-8Q6u!4Y9
$ k !:]#JU65!B!(98
T)!$âJF ½ F r o FŠ˜ l X—N,.MŠM n {[¸ _K([D)#14i€#
!*#/ade‚»[/˜N{[ºJG- n {[¸ x:!6@'ei*((L8QP!*T!
D(*B!98 )FKG9!NB!(WD(*"[!N=TL@8IB!˜ l 6@/*#!T!6@I=Š"![#!Šg&B(*(WLA6@E(*(/:I;
!*T!Š!*.LA4!BJK=!Š![B!4!Š88j65IK
#)3(/[!+Y:1g/B(%L)FIG9!9˜ l XMKä m :!6@ k „ ½ r=– o '
Y·
U·
gä
U·
o1g
ä
Y·
Y·
^ 90D)[(*Ei8Q6@"@*#!8Q6@(!(*#!#!TK!*5#J
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8Q6
l+m-n
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9!BJ;(*A#!(6@#)A50D)@8jB!#!">=;;#!W
!vJ!4![*T#!U#)65Y(P#!D&%L\#!)#!D&%L
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!5iCg/B(*%L<*A#!0">4!BJA!@6@B!#/A8+*#!
v&!*4!V#!T‚65i)(#!WDJ.L)FØMi654"b/"!
6@!(*83L7#C)#!H#!"7!\*65189();4/L71!T)=
*#O'/!B!TH#@![!X#!"HB!:@&"!*#!T;!65+!(*@
i8Q)6Ø()+#!(6@#)4)L@v&i(3=*#@)8"!&"!=F
m #)L765!(*4"t&"!5]0D)\!e9#t1!
#!0(*65#)KY8Q6@#!8!! p F qrs"!/"!K6H0L24!0&
=#!)#!-!*#]!;Y:S*T#(I!eD)'!&B![!09
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5
SPB−FEC
NO MARK
SPB−MARK
SPB−DIFFMARK
ALT−MARK
ALT−DIFFMARK
FULL MARK
4.5
4
Perceptual distortion
3.5
3
2.5
2
1.5
0.5
0
0.05
0.1
0.15
drop probability parameter p0
g— ;š
ѝ
š œ
0.2
0.25
› …
­ 2Ñ5Í?†i\‹ËPŒ
í œ È 3 °‰P=Œ‚É Ê [Œ/Œ&ˆI‹=‰P‘YÌ Vj•‹0†ie‹=3†ŽÄÏ
‡>‘e”IaŽO°t•0ËPŒJ‡>ŒJ•$‘iŽIÎ_­
¶ È E…
›
gå
!*>B!;"!B!#!"#!:L @!*TTLJ4:">#!@6@*#>LJ(*)"
: k ¸M m r ½ s)ãJ'K„ q=– o \!:EHB!4!N)8Š!;:'
#4!(*+ND)L$T)/&"5BJ!BJ+Y:@g/B(%L18Q(*ex(*0F
|[eD)'IA!)B!("74i@#!"E!@6@B!#)A)8+"=]#)
eD)K!9#!.-;**#!0"@4)L$ƒ Ô ü ƒ Õ F à -=!9*61BJ
(3=*#H!B!6@+=+!*"!"!*#(*(L5#!B!65"H4#!"J*"J
(*8"!&1#!;#/*4!BJ@*T#!U#)(L2#!T*#OF]G9!*
B!65J*#H#!(L@D(**"H*8I;6@(*(i8Q*#\8O=Ú@N*XD/*
k „ ã=– o FG9!$˜ l +?MKä m B!D)1*[#/D)vV9S*#!0*#!T
'
"!B!A@!A*#!0*#!T@(*(3=*#<#S*#!0*#!T@#&B!614i
8€)#!BJD):-0LJ*#!T5"!B!#!"#!:L2(*9(*0"!*#!T
@B!#!eD)4!(*A(*F-G-!AB!D);8QN˜ l X—N,.MŠM n {[¸ Ø*
1o
\1 &• æ
#!00D)'!eD)'=L&*(*"!*#!T[4Y:Ši8Q6H#!+8Q
U·
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Y·
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;6H" o #!#!N!;iJB(Šg&B(*W%L)F[|[0-:D/'
!\B!"!L>"!*#!H#!"7!HiJB(+"!**#78!
˜ l + n {[¸ ×!65 k ƒ Ô ü ƒ Õ
8-(*(K):E6H" o *
*T#!U#)(L(*e;#!"7D)L>()52!@g&B(*.L>8!@"!
o F
&"!"*T#(I!#(*(€:16@" k MŠh[ºPº n {[¸
Y·
Y·
G9!*@(*!0$54/L‚!*#!T!V#/*]de
#!(L}
6@#!)$*6@!0D/6@#)5*#}!ViJB(g&B(*.L‚@)4J*#!"OF
G9!]B!(58Q1!VMŠh[ºIº n {[¸ ì!65V(*!eu=0'
!*(A!1()[865;8K!$Ù ½ :[[65;650B!
4!(*@*65:0'€!@*65:1#7iJB(+g&B(*.L>0#C*(*(4Y
#!*"!"]54YD)L\(*0AF
Y·
6.
CONCLUSIONS
,.#!*OiOK0D)K:*z"E!K4i0DJ)B!P8&-65!(*
4"@/"! k?l+m-no #!"HE8j654"@&"! k.p F qrs o *#5!
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7.
ACKNOWLEDGMENTS
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8.
ADDITIONAL AUTHORS
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