Laboratorium 1

PRZEDMIOT:
PROWADZĄCY:
ROK STUDIÓW :
SEMESTR:
KIERUNEK:
Planning of Telecomunication Networks
dr inż. Krzysztof Wajda ([email protected]),
dr inż. Mirosław Kantor ([email protected])
V
letni
Telekomunikacja
Guidelines for laboratory exercise no 02
Planning of optical access networks
Motivation
The main goal of this set of exercise is to plan optical access networks using TITAN – tool for
techno-economic evaluation of optical access networks.
Equipment
Lp.
1 PCs
Localization
128, 129
Function
No
24
access
local
ToDo
1. Analyse the TITAN tool
2. Design an optical access network.
3. Write a report describing your achievements. Send report via email to
[email protected] with relevant subject: “[PTN-ex2-name]”
I.
Tool installation
1. Install Office 2010 Trial
get Office 2010 Trial from http://pbz.kt.agh.edu.pl/~krusek/X17-75073.exe,
install the software (installation time: about 10-15 min),
serial code: 2PHXV-V7DWV-JPWQV-39T76-VJ6V9.
2. Install TITAN
get TITAN software from http://www.kt.agh.edu.pl/~kantor/tit40pd.zip,
to install the software follows the instructions in Readme.txt file.
II.
TITAN tool analysis
1. Open TITAN help file (Titan.hlp)
2. Go very carefully through all the sections in the help file:
a. Introduction
b. Cost Database Mode
c. Main mode
d. Definitions
III.
Triangle Model description
The Triangle Model (TM) is a polygon-based model often used as geometric model for
estimating fibre and trenching lengths in an access network.
The model initially proposed by D. Gardan at GLOBECOM’89 conference, was also used in
the RACE 2087/TITAN project, in the ACTS 226 OPTIMUM project as a part of the technoeconomic methodology and later (improved) in TONIC and TERA projects. The triangle
model has been also applied in some techno-economic analysis.
Figure 1 illustrates the model showing the polygonal structure surrounding the hub and
representing the distribution area. The dispatching boxes FP1 (boxes B, C, D and E) and
distribution cabinets FP2 (points F) are symmetrically located at the gravity centres of the
PRZEDMIOT:
PROWADZĄCY:
ROK STUDIÓW :
SEMESTR:
KIERUNEK:
Planning of Telecomunication Networks
dr inż. Krzysztof Wajda ([email protected]),
dr inż. Mirosław Kantor ([email protected])
V
letni
Telekomunikacja
elementary triangles. In the model a uniform subscriber density over the whole distribution
zone is assumed.
A
FP1
FP2
subscriber
α
Cable type 1
Cable type 2
Cable type 3
Cable type 4
Cable type 5
B
R
F
F
F
F
C
F
F
F
G
F
D
F
E
F
F
Figure 2. Triangle Model (TM).
The radius of the polygon is given by the following formula:
(1)
where d is a number of potential users per km2, N describes the number of potential users; n
denotes the number of fibres leaving the hub (this is also the rank of the polygon).
The length of the feeder trenching considered in the TM model is calculated using the
following formulas:
(2)
(3)
(4)
Equations 1, 2 and 3 are directly derived from Figure whereas equation 4 is obtained by
simulation.
The total feeder trenching length can be calculated by summing up these distances for all
triangles:
(5)
where
is the number of splitters. The total feeder fibre length can be calculated by using
the following formula:
+
(6)
The average distance b between the branching box F and building entrance G gives the
formula:
(7)
where M denotes the number of buildings per branching box F while d is the number of
buildings per km2.
The total length of the distribution trenching can be calculated according to the following
formula:
(8)
where
denotes the number of buildings. The length of the distribution fibre can be
obtained from the following formula:
(9)
where
denotes the number of households.
PRZEDMIOT:
PROWADZĄCY:
ROK STUDIÓW :
SEMESTR:
KIERUNEK:
IV.
Planning of Telecomunication Networks
dr inż. Krzysztof Wajda ([email protected]),
dr inż. Mirosław Kantor ([email protected])
V
letni
Telekomunikacja
Optical access networks
1. PON FTTH architecture
Fibre to the home (FTTH) has been widely recognized as a future-proof solution for access
networks due to its capability to meet the increasing bandwidth demand of the end users.
Therefore, FTTH deployment is currently experiencing fast growth all over the world. For the
2020 time horizon, European requirement on residential peak data rate is not less than
1Gbit/s. In contrast to many existing broadband technologies, such as DSL and wireless
access, fibre access can easily fulfil such a bandwidth requirement, on a per customer basis,
while still being capable of offering the higher capacity in the future. Several FTTH network
architectures have been developed over the years, e.g., point-to-point (P2P), active optical
network (AON) and passive optical network (PON). However, PON is considered as the most
promising solution due to the relatively low deployment cost, low power consumption and
resource efficiency. As a consequence, several standards (e.g. EPON, GPON) and medium
access control mechanisms (e.g. TDM, WDM or hybrid) have evolved for PON systems.
Figure 2 presents the PON FTTH architecture.
ONU
PON
OLT
OLT TX
C-WDM mux
Power splitter
ONU
ONU
C-WDM filter
ONU RX
Service 1
C-WDM filter
Service N
Figure 2. PON FTTH architecture.
2. Importance of accurate FTTH PON architecture deployment
Deployment of FTTH networks is very expensive and the cost factor is particularly important
in the access networks because of a low sharing factor of network resources. It is therefore
essential to identify the most cost-efficient technology and architecture. For such technoeconomic assessments an accurate estimation of the investment cost is crucial. Moreover, it is
shown that the deployment cost of the fibre infrastructure is the dominating component of the
capital expenditures (CapEx). Therefore, inaccuracy occurred in the deployment cost
estimation may cause significant difference of the results for techno-economic assessment.
PRZEDMIOT:
PROWADZĄCY:
ROK STUDIÓW :
SEMESTR:
KIERUNEK:
V.
Planning of Telecomunication Networks
dr inż. Krzysztof Wajda ([email protected]),
dr inż. Mirosław Kantor ([email protected])
V
letni
Telekomunikacja
Design of optical access networks
1. Scenario characteristics
DATA
Countryside
Agglomeration
Suburban
Urban
Area (km2)
7,21
4,42
5,89
6,56
# Buildings
3067
2134
2796
3662
# Households
3067
2714
14836
26015
2. TITAN tool usage
Use the TITAN tool to design the FTTH PON architectures for 4 scenarios presented in the
previous point. Please fill up the Table 2 with results from TITAN tool.
Table 2. Results of FTTH PON design.
Countryside
Number of
splitters
Feeder
fiber
segment
Trenching
[km]
Fiber length
[km]
Distribution Trenching
fiber
[km]
segment
Fiber length
[km]
Agglomeration
Suburban
Urban