SON; Redes Auto Optimizadas

8/9/2019 SON; Redes Auto Optimizadas

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Diplomado en Telecomunicaciones y Tecnologías de laDiplomado en Telecomunicaciones y Tecnologías de la

Información con mención en Comunicaciones InalámbricasInformación con mención en Comunicaciones Inalámbricas

Self-Optimizing Networks

Benefits of SON in HSPA and LTE

Networks


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What is SON !Self-organisation is a pro"ess where the organisation #"onstraint$

red%ndan"&' of a s&stem spontaneo%sl& in"reases$ that is$ witho%t thisin"rease (eing "ontrolled (& the en)ironment or an en"ompassing or

otherwise e*ternal s&stem+ #He&lighen$ ,.'/

With LTE we ha)e a great opport%nit& to (ring the )al%e of SON into o%r

networks/ B%t the potential and am(ition "learl& in"l%des lega"& networkss%"h as UMTS and GSM also/

Within the )ision of SON the operators

ha)e defined the most rele)ant %se "ases

for the a%tomation of operational tasks0t&pi"all&$ those tasks that re1%ire signifi"ant

man%al effort$ or tasks that are highl&

"omple* in nat%re$ and are therefore prone

to error/ N23N presented these %se "ases

to the )endor ind%str&$ and 42PP

standardisation (odies were re1%ested tode)elop and stan dardise respe"ti)e self-

organising sol%tions #42PP T54,/6$

,77'/

N23N0 Ne*t 2eneration 3o(ile Networks

42PP 0 4rd 2eneration Partnership Pro8e"t


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Wh& SON Why has he !ision of self"organising ne#or$s gained imporance in our indusry%

There are two o()io%s dri)ers0

cos reducion and increasing

comple&iy/

Network operators %rgentl& need m%"h more a%tomation in order o efficienly manage large ne#or$s consisingof ens of housands of base saions #ih hundreds of seings each' Optimising se)eral network la&ers

pro)iding a m%ltit%de of "%stomer ser)i"es with high ser)i"e 1%alit& wo%ld (e highl& "omple* and la(o%r intensi)e$ and

therefore wo%ld (e )er& "ostl& witho%t the me"hanisms and intelligen"e in o%r networks to !organise themsel)es+/


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SON 0 The new wa& of optimization

Data Collection Analysis Implementation Feedback

Reactive, rare, manual and

very partial

Proactive, frequent,

automatic and

comprehensive

Manual and labor

intensive, relying on

high expertise

Automatic, in

real time

Manual

Automatic

optimization, in nearreal time

Manual validation

or customer

complaints

Instant, focused

and continuous

ExistingApproaches

Cycle takes days to weeks only “one size fits all” optimization possible

Cycle takes minutes dynamic optimization, based on changing conditions

SON


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Radio Planning and Optimization life cycle

9 Performan"e :P; monitoring and

impro)ement9


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SON affe"ts the entire life "&"le 5NPO;n the life "&"le of a mo(ile "omm%ni"ation network there are man& important

reasons to "arr& o%t performan"e meas%rement for different appli"ations/ The main

goal of the network operator is to a"hie)e profit/ Therefore$ it is )er& essential to

ha)e man& s%(s"ri(ers$ good network 1%alit&$ and low "osts/ The %sage of

performan"e meas%rement s%pports man& tasks and pro"esses %nder these

aspe"ts/ With the help of performan"e monitoring$ it is possi(le to "olle"t

information on0 networks traffi" intensit&/

traffi" distri(%tion #if it is spread o%t e)enl&$ or "on"entrated in "ertain spots'/

e)ents happening in "ertain spots of the network #and how often do the&

o""%r'/

planning effi"ien"& #that is$ if the instr%"tions are f%lfilled$ or are there an&

additional "hanges needed'/

lo"ations where fre1%ent fail%res are reported/

s%(s"ri(er (eha)ior if it "orres onds with the ass%med model /


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SON affe"ts the entire life "&"le 5NPOThe operator is a(le to s%per)ise the performan"e "apa"it& and 1%alit& of hisnetwork and in"rease the s%(s"ri(er@s satisfa"tion/

Performan"e monitoring is mainl& %sed for0

S%per)ision of 1%alit&$ "apa"it& and performan"e

erifi"ation of network planning and optimization

=ore"asts for f%t%re network planning

Error dete"tion and "orre"tion

Tro%(leshooting

;mplementing ser)i"es and feat%res

?%stomer (eha)ior identifi"ation


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SON and :P;:P;s are (asi" network 1%alit& indi"ators for offer pro"essing and field a""eptan"etests/

;n order to pro)e that the performan"e of an operating network mat"hes the

targeted 1%alit&$ field a""eptan"e tests are "arried o%t/ As m%ltiple fa"tors ma&

infl%en"e the performan"e of an operational network$ detailed "onditions$ %nder

whi"h network :P;s are )alid$ m%st (e spe"ified and agreed %pon/ These in"l%des&stem performan"e$ network planning and dimensioning$ meas%rement "ampaign

planning and parameterization/

LTE s&stem ar"hite"t%re was designed to meet the following ma8or goals/

42PP,6/.74C0

;mpro)ed s&stem "apa"it& D "o)erageHigh %ser data rates #peak %pload and download rates'5ed%"ed laten"& #one-wa& dela& and 5TT'Simplified ar"hite"t%re$ ;P (ased transport infrastr%"t%reS%perior %ser e*perien"eSeamless "onne"tion to lega"& networks #2S3$ 3TS$ 42PP,F?


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SON and :P;:P;s are (asi" network 1%alit& indi"ators for offer pro"essing and field a""eptan"etests/

;n order to pro)e that the performan"e of an operating network mat"hes the

targeted 1%alit&$ field a""eptan"e tests are "arried o%t/ As m%ltiple fa"tors ma&

infl%en"e the performan"e of an operational network$ detailed "onditions$ %nder

whi"h network :P;s are )alid$ m%st (e spe"ified and agreed %pon/ These in"l%des&stem performan"e$ network planning and dimensioning$ meas%rement "ampaign

planning and parameterization/

LTE s&stem ar"hite"t%re was designed to meet the following ma8or goals/

42PP,6/.74C0

;mpro)ed s&stem "apa"it& D "o)erageHigh %ser data rates #peak %pload and download rates'5ed%"ed laten"& #one-wa& dela& and 5TT'Simplified ar"hite"t%re$ ;P (ased transport infrastr%"t%reS%perior %ser e*perien"eSeamless "onne"tion to lega"& networks #2S3$ 3TS$ 42PP,F?


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;T >oS?ategor&

42PP :P;?ategor&

Terminolog&sed

3eaningfor LTE =ield NetworkPerforman"e

;T-T/EGC42PP4,/7 and

42PP4,/6C

A""essi(ilit& A""essi(ilit& A""essi(ilit&

Ser)i"e a""essi(ilit&$ e/g/ Atta"h$ or EPS Bearer

Set%p 5e1%est s%""ess rates/

5elia(ilit& 5elia(ilit& 5elia(ilit&On"e esta(lished$ the relia(ilit& of the ser)i"e$ e/g/o;P "all$ or EPS (earer drop rates/

;ntegrit& Thro%ghp%t$ Laten"& Thro%ghp%t$ Laten"&

Promise to deli)er the ser)i"e with a "ertain 1%alit&$le)el of "onforman"e/ E/g/ "ell thro%ghp%t$ or %serdata rates$ pa"ket dela&/

A)aila(ilit& A)aila(ilit& not %sed5elationship (etween ser)i"e %p and down times$e/g/ "ell$ or LTE network a)aila(ilit&

not defined 3o(ilit& 3o(ilit&


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5elationship (etween SON f%n"tions and network parameters

Co!erage Capaciy (!ailabiliy )eliabiliy

*M

CM

Performan"e 3anagement

?onfig%ration 3anagement


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SON Self-Optimization ?&"le

5 d f SON d di i i


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Información con mención en Comunicaciones InalámbricasInformación con mención en Comunicaciones Inalámbricas 5oadmap for SON standardisation in

42PP

!3inimisation of


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M)+

Multi RAN Technologies

Synchronization and Coordination OSS - Multi RAN Vendors

GSM UMTS / HSPA Femto Small-Cells LTE / A-LTE

Ericsson H%awei NSN ?is"o AL ITE …

(,) -. */* CC+)(C0"

+ J

3%ltiple Te"hnologies D endors Offering AN5 0 A%tomati" Neigh(or 5elationLB 0 Load Balan"ing

PDP 0 Pl%g and Pla&

35O0 3o(ilit& 5o(%stness F Hando)er Optimization

??O 0 ?o)erage and ?apa"it& Optimization

5A?H-O 0 5andom A""ess ?hannel #5A?H' Optimization

The SON ideaJ


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"-SON 0 a "ommon e,e platform

9 Cenrali1ed S+,

archiecure

9 Common plaform

pro!iding end o

end )(,

managemen

soluion


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SON A5?H;TE?T5E ALTE5NAT;ES

Differen S+, archiecure approaches2 Cenrali1ed 3lef45 Disribued 3cener4 and

0ybrid 3righ4'


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SON 0 A%tomati" Neigh(or 5elation #AN5' All in real

Time !

Improves KPI. Brings operational efficiency.

Adapts to network changes.

Henry Vasquez


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SON 0 A%tomati" Neigh(or 5elation #AN5' All in real Time

!

Improves KPI. Brings operational efficiency.

Adapts to network changes.

Henry Vasquez


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All in real Time

!

Henry Vasquez

Improve QoS - Accessibility KPI. Increases revenes !more calls and data

traffic. Save site e"pansions. SON 0 Load Balan"ing


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SON 0 Pl%g D Pla&When adding new "ells to the Network$ Pl%g D Pla& "reates a "omplete neigh(or

list for the new sites (ased on the "onfig%red ph&si"al distan"e aro%nd the"%rrent "ell and the azim%th of the neigh(oring "ells/ This initial neigh(or list

gi)es the "ell an initial gro%p of ad8a"ent "ells for HO from da& one/ =%rther

optimization of the neigh(or list will (e done (& the ;ntra-fre1%en"& and ;nter-

fre1%en"& neigh(or relations mod%les of the AN5 when the site goes li)e/

Pl%g D Pla& in A"tion


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Benefits of SON - ?ON?LS;ONS9 O)erall$ there is no !sil)er (%llet+$ (%t rather$ an optimal

ar"hite"t%re that "an sim%ltaneo%sl& pro)ide the (est possi(leperforman"e and simpli"it&/ It is expected that over the next fewyears, S will possi"ly evolve towards hy"ridization to mana#e

the tremendous complexity / Some SON %se "ases deemed !too"ompli"ated+ will ne"essitate a s%per)isor& entit& at the OSS$whi"h itself "an (e m%lti-)endor$ while other SON %se "ases$f%eled (& the ind%str&+s ;OT efforts$ will (e implemented witho%tan OSS in)ol)ement/ The SON spa"e "ontin%es to (e d&nami"

and de)iations from s%"h an ar"hite"t%ral pattern ma& (einfl%en"ed (& d&nami"all& "hanging market de)elopments/

9 ;mpro)e :P;+s/

9 Sa)e ?APEK and OPEK/

9


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Benefits of SON - ?ON?LS;ONS+peraor re6uiremens S+, feaures

A%tomation of NW optimization

?losed loop F =eed(a"k s&stem

5eal Time isi(ilit&

Short a"tion "&"les

endor agnosti"

Te"hnolog& agnosti"

S"ala(ilit&


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(!' San -uis 78875 San .or9a5 -ima " *er:

Web2 hp2;;###'inicel"uni'edu'pe

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SON; Redes Auto Optimizadas

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