WP5 Reference Scenarios
Transcrição
WP5 Reference Scenarios
W P5 Reference Scenarios Scenarios per Operator Mo Mont n t e Dour Dou ro ld e A d de i ao No N Nov va G ad rn a r Fa Fa a F r ap pa ass Η Η Η Ma a nc ie M ll 3, 37 8 mor o A aa s Mon Mont t e Pi a ps pa i ir r o do a B o Pa d u Η Η 33 2 ,2 6 45 Subi u S Su bid b iu o ou our ro lAld A de ea i Nov oa N v Subi u S Su b bid iu o ou our ro ld A Al de e ia Nov oa N v ArA r ro e ta eç a g A Ag r e la r ro e ta eç a Ca a C Ca lv á ri io o ArA gr a A Agr Ag LE ÇA D E L O BAIL IO IO LE ÇA D E L O BAIL IO IO Cus u C Cu s ti ó Es Es p po p s o a de d e Es Es po pp s a de o d e Al l me A mi r ig aa Mi ã ro ão ro ão 19 , ,1 1 Mi ã Sa a r do S ll a Sa a r do S ll a Cr is t ta l ERMEZI ERMEZ RMEZI E IN ND D E N G n d a rd a Te i ib e T ba as 71 7, 0 66 dd a P r ã od e de Lé ga u ua Se e S Se ix o z e nha A nh a s de C iCim a Ra mma ld d a R e do Me M ie o As sp A prp e rl a Η Ba i ro o da zAz Ae n e ha 48 4 ,2 6 77 48 4 ,2 6 77 Pa ç o s PO PORT O P T R RT O a i ir o o B Ba G Go m e s da d a Cos Co st a ta Arrá á bi bi a d Arrá bi á bi a d Gra nj de ae de B d a ix o xo Η Η Η Realistic scenarios Already useful input for operators’ planning Suz uz S Gr a G n rj a Η Η 57 5 ,7 2 55 5B 5a 2 5 Ol 5 l ie ro o Ba 5 ,3 8 2 36 8 Br r7 z,7 O ag B ui m d o do Mon Mont Mo nt e 5 ,3 8 2 36 8 Ba ag B u i m do o Mont d Mon Mo nt e 12 , ,9 9 8 3 a t tr in s C as a l lv v C Ca á r i od o Se ix o i OOlil e v ie ra i s Ca a l lv v C Ca á r i od o Se ix o i O NO Ch pp a el e io r o RIOOTI T Re eg R a da d ass 3, 54 2 3 3, 54 2 3 a ir r o de B Ba e Re b d r dã o d rd ão s Ba a B Ba i r o Co s o Ct a a Cbr a l Ba a B Ba i r o Co s o Ct a a Cbr a l Ant a s Ma c M aed a Be la ViV i ts a AP L LA A Ca ab C be b d ea oC C st a o lAlt o A t da Ma i a Luga r do Pa ço ço Re e R c a re ii Η Ca Ca a C s al Ca as C Ca al Bou Bo ç u a s de d e Ba io ix Bou Bo ç u a s de d e Ba i io x Be c o da s a d Ca r re i r a s Η ErErmo mo bb a C ba a na na s Al t o do o d o u Stu ute l o uu C a ul le u ul a C u le ViV i l a Ve er V ViV i l a Ve er V Aze e z A ve vd o zAz A ev ee vd o ON B BO NFI FI M ON B BO NFI FI M Vi h a n la l Boc Bo o B cs a FrFr r e ix o F Ca re e ga gg ai s 6, 4 2 77 9 FrF rFre ix o Afu u ur r ad a de de Ba i x o 6, 4 2 77 9 lAlt o da Se A re Sr a gg e R a da s l t o da Se A Al rSr a e 19 1, 90 3 gg e R a da s 13 ,A 6 7 4 l4 de i7 a i Nov a 19 1, 90 3 Are e i in ho Pe Pe d r e i ra VI A L NO V LA ADE D EG GAIIA AIA Pe Pe d r e i ra G ad rn a r Al um u mi a r a G ad rn a r 1 00 11 ,8 5 5 Ge r vi d e Rio iRio Do R r ro o u Sã ã S o u m J mi l e i ir a M Me l 14 , ,3 6 0 1 , ,1 5 7 9 a nde B Ba nn d de ie a ra Vis o s a nde B Ba nn d de ie a ra Cra a v e l os aço P Pa ç MiM i nho te ie r a GGa n aa dr a da r Fre ix e i e ir o r Ba a B Ba r ra c a GGa n aa d da ra r nn a S t oO Ov ív dio nn a S t o Ov O ív dio b br e F ro os s ne n i ro h iPinh P b br e r os os At ã ee s Ag g A u uii m MMa a ri z F Ba l ls aa Ba l ls aa La o ro i mde b e d Ba i ix x oo h oup C l lo e Aze nha z A nh a de e d C mmpo a p o s La o ro i mde b e d Ba i ix x oo z e nha A Az nh a de e d C mmpo a p s o MMa a rin h ha n nh a G ua Gua r al d QQui uin a ts as 99 4 , ,7 6 2 l de a A ia 99 4 , ,7 6 2 Ja ca l de a A i Nov N oa va AlA lAld de ie a No o v Na os t a C de de e d Cima a Pr ra P ia e d Va V al a d ra e rs Ba i ir r o a B Me gi M g gi e ie d Ca ad C av ãã oo Pra i ia d e FrF r an ee c l los oo s , ,0 2 0 5 3 Al he ir a r d e Aqu A qé um ie bs s be Ca as C al Ma a M r co R Rio o Ma ie bs s be Ca as C al M ra in a Ma ha h ar co R M Rio o Ca ss a C a l DrriDij o Ca sa a C s l DrriDij o Ald d ia e e d Ne e gre N l lo os o s Mir a rm aar n nh a S nho hoa on ae ov a iv is ta A Mir a rm aar B Η Η Η Η Η Η Η Η Η Input Data Structure in XML Format Η Η Η Η Η LIS_PUB LIS_PUB_anchor.XML mobil ity environment LIS_PU B_mobilit y_mainr oad.X ML LIS_PU B_mobilit y_pedestr ian.X ML LIS_PU B_mobilit y_railway.XML LIS_PU B_mobilit y_str eet.XML LIS_PU B_ant ennaLocation s. XML LIS_PU B_C lut ter Type. XM L LIS_PU B_Envir onment.XM L LIS_PU B_GrounHeight .XM L LIS_PU B_Oper ati onalEnvi r onment.XML LIS_PU B_Sit es .XML m ax predictions mi n rArui A uu li e d de Ba i x o AlA lv e ij a j ra A-d d os do o -s Cã es e - dos A Ad do os -s Ca l lv os Ba a i r o do B Ba o do d Ca ti iv o Ba a B Ba i r o do o do d Ca ti iv o Ba i rro a B da a d C v iv na o in a ar r o B Ba r ar r o B Ba r as b Ba a B Ba i r o da a d Ca s te le ha na n FRIE L LA A L AS S a ir r o do B Ba s o d Pe r ógã d ró go ãs Ba a B Ba i r o da a d Ca s te le ha na n Al mo oi in nha ha s a ir r o do B Ba s o d Pe r ógã d ró go ãs Al to do Mi M ri a d r ou our r oo ,a ,7 3 9 0 s Pon te e de rF Fri le i as Al to do Mi M ri a d r ou our r oo Ba i ro o da iF Figu ge u g i ra 3 Ba ir r o de e Sã o o d J ro org e 11 ,7 1 78 6 0 3 3 Ba i ir o r 4 a d ,Bog o0 B a g lh h e he ia r 3, 3 4 22 66 o ba e B ld la Se t e Qui u i tnt Q na s a a i r ro da Es B p s Ee r a ça n ça a C ss aa l de Ca a Cmbra a Am mor e A i ira a Ba ir o r oa d Pe e P Pe tr oga l a i r ro da Es B p s Ee r a ça n ça Ba ir o r oa d Pe P e Pe tr oga l a r re g C u e e i ra a ArA rArr o ja Amoro m A sa sa ,1 5 6 11 51 Va l le e Pe qu nn e o m oro A Am sa s a Ba i ro o de Sã Sã o o rF a nn nc c is c o Q in u tn nta do Lou o L ru o a Q in u tn nta do Lou o L ru o Ba a i r o da B a dM Mi lh ih a l ra dd a VFT_LIS_485990_4284308_ Isopr ed.XML VFT_LIS_486049_4284764_ Isopr ed.XML ... .... .. VFT_LIS_485990_4284308_ Isopr ed.XML VFT_LIS_486049_4284764_ Isopr ed.XML ... .... .. Clutter a Η Η Η ΗΗ Η Pom o o ma r da P Po a s Cha d da Ch av es Pom o Po o P ma r da da a d s Cha Ch av es Ba iB ar r o da a d Ca e le a p Ba i ir ro a d CrrCuzVe da e Ve V r me l lh ha h a Chut a ra ir a Η d Pr is ã a o s a Pr is ã d o s pref Bir r o a r da Ho rHt a N o No o va a ir r o B r da Ho rHt a No o ov a N Ve en V da o v Na v a B Ba i ir ro Don o Do D a n e L Le on no o orr LV A AL ALV VAL AL AL ADE D E LV A AL ALV VAL AL AL ADE D E Ar e e ir o r AM D MAIA I Ca l h r ir iz de Be a n e Bf c ia ca Ca Ca s al a s d s Cru zu ze s e 65 ,Al,1 6 f8 rf 8 a rg i e d de Ca Ca s al a s d s Cru zu ze e s 65 ,Al,1 6 f8 rf 8 a rg i e d de Al to do o d do M io oih no a B Ba i r ro da a d Liib Le b be rd a de Al to do o d do M o ioih no Ba ir ro 1 8 de e Ma d i io o Ba ir ro 1 8 d de Ma e i io o 88 5 ,5 4 50 Ca as C e la s as 33 1 22 ,8 22 Ca as C e la s as Alt o da a d Aju u d da ud a ru u C z Que Qu e br br a da Ba ir r o ro do Re s e Rt e lo o CÂNT L A Â CÂ C NT NT ARA R A Ca xi as a C Da fu un ndo do A te e a MOSCA VIDE DE D MOSCA VIDE D DE a B Ba i rro da a d u Mus M Mu s gu ge u i ra a u Sl Fa la g u ae ui a r Q UEL ZZ U má m 78 ,3 7 35 u z de e B d i ix x a oo Cima a Η a C Ca bo bb o Ruiv oo Bra çç ooe d PrP Pr ra ta MARV M AR R A V I LA rGri l o G Η Η ILIS L SBOA BOA Η Re ference scenarios in Portugal 2 55 , ,0 53 SAN SA NT AAMAR MA MARI RI A E DBEL E BÉ LM 2 55 , ,5 03 iGin G njj la ri a A l lv a v Sã Sã ã o Pe S d dr d r o da T r af a r ria a Sã ã S Sã o Pe dd dr r o da T r af a r ria a Cov a do o d a Vpo p o por r Cos o s ta C s s do ã Co o Cã Sã o J ã o J o da a d Ca p r ir ic a a Η Η Ba i ir ro o d M a ta do d do d o our u urr o 11 77 , ,6 54 Ba r ro oc ca s AlA lAlt o a d da P o nte e equipment antenna-di agrams K742265_0.msi K742265_1.msi K742265_2.msi K742265_3.msi K742265_4.msi K742265_5.msi K742265_6.msi AVR L V VRA RAD AD IO AVRA L V VR RAD AD IO ALT O DOSEI E SE SX I AL ALI IH NO H antenn.XML NET1_predi ctions network 3G1000_1_pr ed.XML 3G1000_2_pr ed.XML 3G1000_3_pr ed.XML 3G1058_1_pr ed.XML 3G1058_2_pr ed.XML . ... .... ... . LIS_PUB_NET1.XML Simulators validation Providing input data for testing simulators with different complexity En vironmental Data Traffic Data Network Data UMTS locations Traffic Traffic 2007 2007 bhca TgComm LI S_PU B_BHC A_EMail.XML LI S_PU B_BHC A_FileDownload. XML LI S_PU B_BHC A_LBS.XML LI S_PU B_BHC A_MMS.XML LI S_PU B_BHC A_SpeechTelephony .XML LI S_PU B_BHC A_St reamingMultiMedia.XML LI S_PU B_BHC A_VideoTelephony .XML LI S_PU B_BHC A_W WW .XML Target VS Traffic grid Ev aluation Process WP3 Real-Time Dynamic WP2 Short Term Dynamic WP2 Monte Carlo SnapShot Performance Indicators Evaluation of operators’ roll-out strategies WP4 Optimizer Optimisation Process WP1 Creating input for the scenarios Traffic Grids WP2 Optimised Network WP4 Mobility Grids Propagation Grids WP5 Initial network Env ironmental and Netw ork Data Down Tilt RRM Settings Number of Sectors Azimuth Antenna H eight Optimisation of network configurations against minimal cost traffi c Time Increasing Simulation Analyses Result INPUT to the simulator s Only OnlyGSM GSM locations locations TgComm LI S_PU B_AL_EMail.XML LI S_PU B_AL_FileDownload. XML LI S_PU B_AL_LBS.XML LI S_PU B_AL_MMS.XML LI S_PU B_AL_SpeechTelephony. XML LI S_PU B_AL_St reamingMul tiMedia. XML LI S_PU B_AL_VideoTel ephony .XML LI S_PU B_AL_W WW .XML al Traffic Traffic 2012 2012 City City potential Potential Propagation Evaluation & Optimisation Process Objectives of the Scenarios Rural Rural VFT_LIS_485990_4284308_ Isopr ed.XML VFT_LIS_486049_4284764_ Isopr ed.XML ... .... .. Terr ain Gri d for simulator s Simulators Site Selection • A roll-out scenario is given as input to the optimiser • Optimiser searches for possible network configurations at lowest cost • Simulators evaluate the network configuration by means of performance indicators • Evaluation may be repeated many times until quality targets are reached Models and Simulations for Network Planning and Control of UMTS