Chapter 09 - Summary and Conclusions CHAPTER NINE SUMMARY AND CONCLUSIONS The demand for Internet traffic (IP traffic) continues to increase rapidly compared to traditional circuit switched telephone traffic, as the demand for greater bandwidth and faster connection speeds have led to new methods of broadband access to all consumers. The confluence of two forces, the g lobalization of business and the networking of information t echnology (IT), has created the Internet economy. The new economy is defining how people do business, communicate, shop, have fun, learn, and live on a global basis, connecting everyone to everything. The new economy is driven by information, research, knowledge and technology. 9.1 TELEPHONE DEMAND AND ITS DISTRIBUTION BY YEAR 2015 The forecast of telephone traffic was carried out based on traditional methods. However, in the future, a significant portion of telephone traffic in the PSTN are expected to migrate to IP Networks as VoIP is becoming a very cost effective solution for the customers who are having Corporate Networks and for the public who dial international destinations. However, the inter- working between the PSTN and IP Network is an issue yet to be addressed. Initially the traffic forecast for a traditional circuit-switching network, the total demand by year 2015 was estimated as nearly 2 million. This was obtained through the Income Elastic Model, which uses the world trend for telephone subscribers of each country against economic indices such as GDP/GNP/NI. The Nodes of the proposed Network were obtained based on the present distribution of customers in the county. All the Tertiary Switching Center areas and the Secondary Center Areas where the customer base is more than 2.5% of total customers, were taken as the main nodes of the network. Also two other nodes, Jaffna and Baticaloa, were selected to cover northern and eastern parts of the country as a significant traffic flows could be expected in the future with the development of these areas. The Gravity model and Earlang's B formula (traffic tables) were used to find the telephone traffic between nodes and the number of circuits between nodes. 9.2 IP TRAFFIC DEMAND AND ITS DISTRIBUTION BY YEAR 2015 It was observed that the Internet penetration rate continues to increase and the traffic on Internet doubles every year and with that the web usage also growing rapidly. Both the Internet dialup traffic and broadband traffic were estimated based on the present trend of these two services. In this case it was observed that the number of dialup Internet customers is now getting saturated. This is mainly because of the introduction of broadband services such as ADSL, which is now becoming very popular among residential customers. Accordingly the -90-
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Chapter 09 - Summary and Conclusions
C H A P T E R N I N E
SUMMARY AND CONCLUSIONS
The demand for Internet traffic (IP traffic) continues to increase rapidly compared to traditional circuit switched telephone traffic, as the demand for greater bandwidth and faster connection speeds have led to new methods of broadband access to all consumers. The confluence of two forces, the g lobalization of business and the networking of information t echnology (IT), has created the Internet economy. The new economy is defining how people do business, communicate, shop, have fun, learn, and live on a global basis, connecting everyone to everything. The new economy is driven by information, research, knowledge and technology.
9.1 TELEPHONE DEMAND AND ITS DISTRIBUTION BY YEAR 2015
The forecast of telephone traffic was carried out based on traditional methods. However, in the future, a significant portion of telephone traffic in the PSTN are expected to migrate to IP Networks as VoIP is becoming a very cost effective solution for the customers who are having Corporate Networks and for the public who dial international destinations. However, the inter-working between the PSTN and IP Network is an issue yet to be addressed.
Initially the traffic forecast for a traditional circuit-switching network, the total demand by year 2015 was estimated as nearly 2 million. This was obtained through the Income Elastic Model, which uses the world trend for telephone subscribers of each country against economic indices such as GDP/GNP/NI.
The Nodes of the proposed Network were obtained based on the present distribution of customers in the county. All the Tertiary Switching Center areas and the Secondary Center Areas where the customer base is more than 2.5% of total customers, were taken as the main nodes of the network. Also two other nodes, Jaffna and Baticaloa, were selected to cover northern and eastern parts of the country as a significant traffic flows could be expected in the future with the development of these areas.
The Gravity model and Earlang's B formula (traffic tables) were used to find the telephone traffic between nodes and the number of circuits between nodes.
9.2 IP TRAFFIC DEMAND AND ITS DISTRIBUTION BY YEAR 2015
It was observed that the Internet penetration rate continues to increase and the traffic on Internet doubles every year and with that the web usage also growing rapidly.
Both the Internet dialup traffic and broadband traffic were estimated based on the present trend of these two services. In this case it was observed that the number of dialup Internet customers is now getting saturated. This is mainly because of the introduction of broadband services such as ADSL, which is now becoming very popular among residential customers. Accordingly the
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Chapter 09 - Summary and Conclusions
number of Internet Dialup customers was estimated as 57,800 by year 2015. The traffic flows between nodes were estimated assuming Internet Servers are made available in each node from which a directional traffic flow could be expected towards Colombo and vice versa.
The broadband IP traffic requirement for year 2015 was estimated based on the present trend, which has shown a rapid growth. As such, the number of IP broadband customers was estimated as 82,876 by year 2015. The traffic between network nodes were also estimated to ensure 50% throughput in the network when all the customers are connected.
In reality, a significant portion of these traditional circuits will migrate to IP platform as VoIP together with other IP services such as Internet and ADSL by year 2015. Finally the VoIP traffic was estimated assuming certain traffic migration patterns, which are based on IDD cost and traffic volume of corporate traffic. Considering the new broadband services and the traffic migration of International Traffic and a portion of the domestic traffic, from traditional circuit switched network to EP network as VoEP, the final bandwidth requirement between the network nodes were estimated for year 2015, after reducing the volume of business traffic, which are mostly confined to their corporate Networks. The results of the forecast clearly show the majority of its traffic will be generated from IP based services while the PSTN traffic will be a small portion and which could be less than 10% of the total bandwidth of the network.
However it was become a real challenge to forecast the IP traffic due to its unpredictable growth. Therefore the forecasted IP traffic volumes may not be very accurate as many other enhanced services such as multimedia services would also be developed to operate on IP networks.
9.3 NETWORK TOPOLOGY AND CAPACITY REQUIREMENTS
Based on the traffic distribution of both telephone and IP between nodes, a part of the network could be proposed as a fully reliable WDM Ring Network, while other nodes are connected through extended links. Accordingly, the traffic has been sorted to the network segments of the proposed Topology, where a part of the network is a Ring. The resulted WDM Ring Network, which basically covers the southern part of the country, needs 8 different wavelengths to support all kind of traffic and also two other extensions having a wavelength each to connect Northern and Eastern parts of the country. In This case an additional wavelength in the Ring Network and also a significant portion of capacity in the extensions were assigned to carry mobile traffic. Forecasting of mobile traffic happened to be a difficult task due to its unpredictable growth and mobility.
Each wavelength is assigned lOGbps, which is STM-64 to meet total traffic requirement. The Colombo and Kandy nodes are selected as Full Fiber Terminal Stations as most of the traffic flows between these two network nodes. Wavelengths are added and dropped at each branch station based on the traffic volumes between these nodes.
9.4 DESIGNING OF A REPEATERLESS OPTICAL NETWORK
The wavelengths are selected in the range of 1550nm such that adjacent wavelengths are spaced 0.8nm to avoid nonlinear effects and cross talks. The G.655 non-zero dispersion fiber is
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Chapter 09 - Summary and Conclusions
selected to manage the dispersion and non-linear effects. DFB and APD are the Source and the Detector respectively to suit long haul transmissions at a speed of lOGbps having narrow spectral widths and meet better sensitivity at the receiver.
The proposed Network is a Repeaterless Optical Network, where the Power Budget of the longest Segment of 280km between Kandy and Matara has been designed without employing a physical Repeater. This has been achieved by using Raman Amplifiers as Line Amplifiers and Erbium Doped Fiber Amplifiers (EDFA) as Boosters and Pre-Amplifiers. The Power Budget has been prepared for all other Segments based on different Amplifier Configurations. A BER of 10"9 is ensured for the longest Optical Line Section between Colombo and Kandy via Matara, in which a couple of express wavelengths are assigned. The Performance Budget is prepared for long Optical Sections and the calculated BER was obtained as better than 10"9.
9.5 SIMULATION OF THE NETWORK TO ENSURE DESIRED RESULTS
The entire Network was simulated on OptSim simulator, which was developed by ARTIS Software. The parameters of the simulated network are set to comply with designed and selected parameters. The Spectral Diagrams show the presence of all the wavelengths in the network having an appropriate S/N. The Eye Diagrams given by the Simulator further confirmed the BER objective and the Q Factors of electrical outputs are well above the Q Factor relevant to 10"9.
9.6 SUGGESTIONS FOR FUTURE WORK
It is suggested that resulted Eye Diagrams, particularly of the express wavelength of Colombo - Kandy via Matara network where the longest segment of Matara - Kandy is included, would be further improved by further enhancing the network.
On the other hand the economic factors of the proposed network would be compared against a network having Erbium Doped Fiber Amplifiers as line repeaters. This is suggested mainly because of the cost factor of high power Raman Pumps, which were used in some segments of the designed network.
The Raman Amplifier was developed based on Raman Scattering, which is a result of intrinsic property of silica fiber. Unlike Raman scattering, the Brillouin scattering occurs in a narrow band. As such the Brillouin Scattering is a useful feature to develop Optical Filters rather than Optical Amplifiers. It is suggested to any student to carry out some research on Brillouin Scattering to design optical filters that could be used in Optical Components.
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References
REFERENCES
[ 1 ] "Traffic Engineering Fundamentals" http://vvvvw.rbweb.cns.vt.edu (10 t h January 2003) [2 ] "What is an Erlang" http://www.erlang.com (4 t h March 2002) [3] Nippon Telegraph and Telephone East Corporation, "Network Planning", NTT
Training Institute, Tokyo, Chapter 02, 05 and 06, 1999. [4] "Gross Domestic Product and Gross National Product"
http://ww.nscb.gov.ph/rul2/DEFINE/DEF-ECO.HTM (15th April 2002) [5] Alan E. Willner and Synang-Myau Hwang "Transmission of many WDM channels
through a cascade of EDFA's in long distance links and ring networks" IEEE Joumel of Light wave Technology, Vol. 13, no. 5, pp. 802-816, 1995.
[6] Djafar K. Mynbaev, Lowell L. Scheiner, "Fiber Optic Communications Technology", Addisson Wesley Longman Pvt Ltd, pp 124-134, 2001.
[7] Rajiv Ramaswami, Kumar N. Sivarajan, "Optical Networks", Harcourt Private Limited, India, pp 207-209, 2000.
[8] N. S. Bergano, "WDM long-haul transmission systems," Paper TuFl (Tutorial), Technical Digest of the Optical Fiber Communication Conf. (OFC1998) San Jose, USA, Optical Society of America, pp.30, 2000.
[9] E. Desurvire, Erbium-doped fiber amplifiers, principles and applications, New York, NY. Wiley Interscience, 1994.
[10] P. C Becker, N. A. Olsson, J. R. Simpson, "Erbium-doped fiber amplifiers, fundamentals and technology", San Diego, CA. Academic Press, 1999.
[11] Kyo Inoue, Hiromu Toba and Kiyoshi Nosu "Multi-channel amplification utilizing an ER 3 + doped fiber amplifier" IEEE Journal of Light wave Technology, Vol.9, no.3, pp.368-374, 1991.
[12] H. Masuda, S. Kawai, K-I Suzuki, and K. Aida, "Ultrawide 72 nm 3 dB gain-band optical amplification with erbium-doped Fluoride fiber amplifiers and distributed Raman amplifiers," IEEE Photon. Technol. Lett., vol. 10, no. 4, pp. 516-518, 1998.
[13] T. Terahara, T. Hoshida, J. Kumsako, and H. Onaka, "128 x 10.66 Gbit/s transmission over 840 km standard SMF with 140 km optical repeater spacing (30.4 dB loss) employing dual-band Raman amplification," paper PD28 (Post deadline), Technical Digest of the Optical Fiber Communication Conf. (OFC 2000) Postdeadline Volume, Baltimore, USA, Optical Society of America, pp. PD28-1 to PD28-3, 2000.
[14] Kiyofumi Mochizuki, Noboru Edagawa and Yoshinao Iwamoto "Amplified Spontaneous Raman Scattering in fiber Raman Amplfiers" IEEE Journal of Light wave Technology, Vol.4, no.9, pp. 102-109,1986.
[15] D. Wang and C. R. Menyuk "Calculation of penalties due to polarization effects in a long-haul WDM system using a strokes parameter model" IEEE Journal of Light wave Technology, Vol.19, no.4, pp.487-494, 2001.
[16] G. J. Foschini, L. E. Nelson, R. M. Jopson and H. Kogelnik "Statistics of Polarization Mode Dispersion" IEEE Journal of Light wave Technology, Vol. 19, no.12, pp.412-505, 2001.
[17] A. Berntson, E. Goobar, S. Popov, L. Helczynski, G. Jacobsen, J. Karlsson, "Influence of cross-talk and pump depletion on the design of Raman amplifiers for WDM systems," Proceedings of the 26th European Conference on Optical Communications (ECOC'OO), pp. 149-150 (Verlag), Sept. 5, 2000.
[18] The ITU Association of Japan Inc, "World Telecommunication Visual Data Book", ITU Association of Japan, Tokyo, Chapter 06, 2000.
[19] Central Bank of Sri Lanka, "Annual Report - 2001", Government Press of Sri Lanka, Colombo, pp 5-7, 2002.
[20] "G652, G653 and G655 Specifications" http://www.itu.int/itudoc/ (on 13 t h October 2002) [21] "Booster and Pre-Amplifier Specifications" http://www.alcatel.com/
(on 13 t h December 2002) [22] Shigeyuki Akita, Shigendo Nihsi "Optical Cable Network Systems", KDDI Ltd,
Tokyo, Chapter 11 and 12, 2001. [23] K. P. Kandancarachchi and I.J. Dayawansa "Repeaterless Optical Fiber Network for Sri
Lanka" IEE Paper of Annual Sessions, 2003. [24] T. I. Lakoba and G. P. Agrawal "Optimization of average dispersion range for long haul
Where; $ij> = Traffic from Office "i" to Office "j" D, = Originating Traffic rom Office "i" C(ij) = Coefficients of affinity Dj = Originating Traffic rom Office "j"
And; Di = (Number of Subscribers in the "i" Area) x (Calling Rate of "i" Area)
Kquivalent circuits required to support VoIP traffic
Colombo Kandj Gampaha Kalutara kiinineitat
S I * .\egombo Galle Matara Anuradhap
ura Batticaloa Jaffna
- 536 638 679 245 529 121 127 86 80 10
Kandv 304 - 2" 11 1 9 8 10 10 11 1
( ::imp:ili:i 143 9 - 7 5 10 2 2 2 2 1
Kalutara 234 17 I I - _ 9 6 6 3 3 1
Kurunegala 114 3 t 9 6 - 9 3 4 4 4 1
Negombo 140 9 11 7 5 - 2 2 2 2 1
GaOe 73 9 4 11 •1 6 - 8 2 2 1
5j*t«* 90 13 6 12 5 5 10 - 2 3 1
Amtradhsptir a 70 11 5 6 5 2 3 - 4 1
Battieatoa 80 19 6 8 5 3 4 4 1
Jaffna 13 3 1 2 1 1 1 1 1 1
C o m p r e s s i o n Rate 8 :1
n(VoIP> [ n(Int' I) + n (Domestic) ] / 8
Note: The equivalent circuits of Business traffic are not reflected back on to the VoIP requirement, as it is going to be confined in to their Corporate Networks
Total Equivalent Circuit Requirement of the Network
WDM (08 WAVELENGTHS) NETWORK SEGMENT FROM COLOMBO TO KANDY VIA KimUNEGAbA ,5M<U>MP_*1 - • • Colombo Fttll Fiber f ennlnal Station Gampalta Branch Station (Add/Drop L7&L8)
[dm] {OvtlMlfi
Negombo Branch Station (Add/Drop L5.L6&L8)
3W<LKN0l
Kurtwegala Branch Station (AdriVDrop L3JL4AL8) •
•ii LMi±
kandy Full Fiber Terminal Station
ro<itp<t-».;.
5P B* ..I < >P«LKMOlA,l>_TM
Unit: Hu_HDH_CrlB_kDV_vjajCNGLfi
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Appendix 16
tlDM (08 HAVEtEHGTHB) METHORK SEG11EHT FROM COL01IBO TO RAHDY WIA MATARA
Kalutara Branch Station (Add/Drop L78L8) Colombo Full Fiber Terminal Station
UWt: Nu.W)H.C«B;Kl)Y.vla.Hflt
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Appendix 17
K U R U N E G A L A - A i n m A D H A P U R A N E T W O R K S E G M E N T
Kurunegala terminal Station Anuradhapura Terminal Station b 19, l in lL0 t i t |_KNbi /LANbPRA
(Output1 >lnputj. (->lnput) (Output->lnp<it)
ANOPA>lw_PMAmp (Qijtput-̂ JF
b23
i|PKLt<NOlA
Ha
RX1
Output->
iSptctANDPA
1> SC0Pt_ANOPA
Unit: Nw_KNGLMNDRfl_Flnal
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Appendix 18
MHJRAD HAPURA - JAFFHA IfETWORK SEGMENT
Aioiradhapura Terminal Station A O P B ^ l i i a L i K i j i h a w t . ANDPA,NW_ Booster
(Output->lnput) (Output
>
b18 b 13jinh_otli|_AND P R A_ J F PNA (Output->tnput)
Jaffna Terminal Station JFFNA,NW_PreAmp b22 JF FNA,1V_ R X 1_A PDfilhft
(-Mnpu — - — > m . •4
V SptctAhDPA
RX1
V SptcLJFFNA Output ->
LSCOPOFFNA
Unit: Nw.flNDR A_ JFFN A_F i na 1
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Appendix 19
KANDY - BATTICALOA NETWORK SEGMENT
Kandy Terminal Station KDV_!>^TXt_NR2rtCt kOV>IW_BOOst«l-
TX1 (output-rtnpiiH (output-)) ±
| , t j b6,ltnLotnLKOV_BAI (-Mnput)
J ISPMCKOV
(Oulpnt->lnpnt) VWfrJH
BAT,NW_PrtAmp (Outpot->)
Batticaloa Terminal Station
bi8 BAT_RHH>_RXi_APOfllWl
4" (->lnp«t) , RX1
Output •
SP*CLBAT 5C0PCBA1
Unit: Nu.KbY'.BflT.Finai
- 1 1 3 -
Appendix 20
Spectral and Eye Diagrams of Colombo - Kandy Network via Kurunegala
1) Input of the Gampaha Main Fiber
N w _ W D M _ C M B _ K D Y _ v t a _ l < N G t A O p t i c a l S p e c t r u m at b.397, S p e c L G M P J n , R u n 1
i I I
I y I V u I Ij ! ) i•
I V v i ..̂ :
^ w l Jl 192 191.I 19?.1 19I.fi 192.0
2) Output of the Gampaha Main Fiber
193 193. i
r 4 w _ W D M _ C M f i _ K D Y _ v i ; 3 _ K N G L A : O p t i c a l S p e c t r u m at b.89, S p e c l j 3 M P j D u t . R u n 1
Spectral and Eye Diagrams of Colombo - Kandv WDM Network via Matara
1) Input of the Kalutara Main Fiber
• N w _ W D M _ C M B _ K D Y _ y i a _ M A T : p p l i c a | S p e c t r u m a l b 3 9 7 , S p e c ! _ K T J n , R u n 1
1S2 192.2 192.4 192.6 192.0 193 193.2
2) Output of the Kalutara Main Fiber
N w _ W D M _ C M B _ K D Y _ v i a _ M A T : O p t i c a l S p e c t r u m a ! b B 9 . S o e c t _ K T _ O u t . R u n 1
d i ( m U / T H . I
i
•
I 1 i
| I I ; V i
V \ i J .A
.WrfW/̂ i X 192 19 Z.Z 192.4 192.6 192.ft 193 193 . 2
r c « a u * n c v I T H i )
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. [ppendix 21
3) Input of the Galle Main Fiber
• N w _ W D M _ C M B _ K D Y _ v i a _ M A T o p t i c a l S p e : t n j m at OKI, S p e c t _ G i j n , R u n 1
dB [mU'TWil
i
I I I I i ! I
\ J j V { . J j Ii [1 i9t 19:.: 19:.« i s : . I i 9 i . • 193 193.2
4) Output of the Galle Main Fiber
19Z 192.2 192.4 192.1 192.0 193 19) . 2
f[*T4«i.'-y [TH»]
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Appendix 21
5 ) Input of the Matara Main Fiber
• N w _ v y p M _ C M B _ K D Y _ v i a _ M A T : O p t i c a ) S p e c t r u m at b 4 1 4 , S p e c t _ M A T _ l n . R u n 1
dB E I K W T H B ]
192 19Z.Z 192.4 191.6 192.0 193 193.2
f r e q u e n c y I T H B ]
6) Output of the Matara Main Fiber
Nw_WDM_CMB_KDY_via_MAT: O p t i c a l S p e c t r u m at b t H , S p e c ! _ M A T _ O u t , R u n 1
dB ImlO/THi ] 40 •
192 192.2 192.4 192.6 192.0 193 193.2
f r e q u e n c y [ T H a }
- 1 3 1 -
Appendix 21
7) Dropped wavelength (X%) at Kalutara
• N w _ W D M _ C M B _ K D Y _ v i a _ M A T : O p t i c a l S p e c t r u m at b 6 , S p e c L K T _ L 8 _ R X , R u r M
192 192.2 192.4 192.5 192.0 193 193.2
F r e q u e n c y (THoJ
8) Added wavelength (k%) at Kalutara
Nw_W0M_CMB_KDY_via_M AT: Optica! Spectrum at b121, Spect_KT_L8„Tx, Run 1
d S ( n l V T H o )
to 1 - - ; r • • r i . '
10
-50
192 192.2 192.1 192.6 192.0 193 193.2
F r e q u e n c y [ T K s ]
- 1 3 2 -
Appendix 21
9) Dropped wavelength (/V?) at Kalutara
N w _ W D M _ C M B _ K D Y _ v i a _ M A T : O p t i c a l S p e c t r u m a t b 1 9 1 . s p e c t _ K T _ L 7 _ R x , R u n 1
dB I n l V T K a l
0
-10
-20
-30
-10
j\ \ \
-1
192 192.2 192.4 192.6 192.0 193 193 .2
r c « q u « n c v [ T H s ]
10) Added wavelength (A,7) at Kalutara
N w _ W D M _ C M 9 _ K D Y _ v i a _ M A T O p t i c a l S p e c t r u m at h i 9 2 , s p e c t _ K T J _ 7 J > 1 R u n 1
2 0 • • - ; ; | | -; [ •; •
io • - - ; : \ — - i j- i ;
192 192.2 191.4 192.6 192.0 19 3 193.2
T s t q u e n c y [THm]
-133-
Appendix 21
11) Dropped wavelength (A.g) at Galle
N w _ y y p M _ C M B _ K D Y _ w a _ M A T : O p t i c a l S p e c t r u m at b 1 9 5 , S p 8 C l _ G L _ L B _ R X . R u n 1
192 192.2 192.4 192.6 193 193.2
12) Added wavelength (Xs) at Galle
f t e q u e n c y [ T H s ]
N w _ W D M _ C M B _ K D Y _ y i a _ M A T : O p t i c a l S p e c t r u m at b 1 9 6 , S p e c t _ G L _ L 8 J \ R u n 1
192 192.2 192.4 192.6 193 193.2
F r e q u e n c y [ T H s ]
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Appendix 21
13) Dropped wavelength at Galle N w _ W D M _ C M B _ K D Y _ v i a _ M A T O p t i c a l S p e c t r u m at b 2 0 9 . s p e c l _ G L _ L 6 _ R x . R u n 1
192.? 192.4 192 6 192.8
14) Added wavelength (X(>) at Galle
N w _ W D M _ C M B _ l - D Y _ v i a _ M A T O p t i c a l S p e c t r u m a t b J t O , $ p e c l _ G L _ L 6 _ T x , R u n 1
'•' | |' u-'l
I
I
i i A i \ / i
— j —
t , i;rrr, , ,
JPrippjfn
192.2 192.4 193 193.2
T i c <fucricy [TK>]
-135-
Appendix 21
15) Dropped wavelength (A,5) at Galle
Nw_WDM_CMB_KDY_via_MAT: Optical Spectrum at P320, spect_GL_L5_Rx, Run 1
dB [ n U / T K s }
0
-20
-30
-40
192 192.2 192.4 192.6 192.0 193 193.2
r z e t f u c n c y ( T H i J
16) Added wavelength (X,5) at Galle
Nw_WDM_CMB_KD¥_vla_MAT: Optical Spectrum at b319, sped GL L5 Tx, Run 1
^ , dB [mU/THm]
20 J I t - -Ir
10 '• * \
-40 •
192 192.2 192.4 192.6 192.0 193 193.2
F m t j u e n c y [ T H o l
-136-
Appendix 21
17) Dropped wavelength (A,8) at Matara
N w _ W D M _ c f f i 3 < D Y _ v i 3 _ M A T : O p t i c a l S p e c t r u m at b 2 2 4 , S p e c t _ M A T _ L 8 _ R X , R u n 1
j !
! I i / N I \
192 192.2 192 1 192 6 192 0 1 3 193 2
F r e q u e n c y ITHnJ
18) Added wavelength (A,8) at Matara
• N w _ W D M _ C M B _ K D Y _ v i a _ M A T : O p t i c a l S p e c t r u m at P 2 2 5 , S p e c t _ M A T _ L B _ T x . R u n 1
dB l » U / T H > ]
20 - '> r - j J " \ J
10 - - I ; r -! r i I
-30
192 192.2 192.4 192.5 192. 5 193 193 . 2
-137-
f r e q u e n c y [ T H « J
Appendix 21
19) Dropped wavelength (X 4 ) at Matara
• N w _ W D M _ C M B _ K D Y _ v i a _ M A T : O p t i c a l S p e c t r u m at P 2 3 8 , s p e c t _ M A T J _ 4 _ R x , R u n 1
dB InAl/THm]
10
-JO -I--. ;, 1 »• J !
192 192.2 192.4 192.6 192.6 193 193.2
Tz•qucncy [ T H s ]
20) Added wavelength (k4) at Matara • N w _ W D M _ C M B _ K D Y _ v i a _ M A T : O p t i c a l S p e c t r u m a t b 2 3 9 , spect „MAT_L4 J \ R u n 1
dB [mlil/THM
20
10
-40
192 192 .2 192.4 192.6 192.0 193 193 . 2
T x e q u c n c y ( T H i ]
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Appendix 21
21) Dropped wavelength (k3) at Matara
• Nw_WDM_CMB_KDY_via_MA7: Optical Spectrum at P337, spect„MAT_L3_Rn, Run 1
191 192. 2 192.4 192.fi 192.0 193 193.2
f r e q u e n c y ITH« ]
22) Added wavelength (X3) at Matara
• Nw_WDM_CMB_KDY_via_MAT; Optical Spectrum at b33B. spect_.MAT_L3_.Tx, Run 1