Applications for network planning and infrastructure development' Tools for telecom courses Short re

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Applications for network planning and
infrastructure development.Tools for telecom
courses(Short review of the main research)

• Albert Abilov

Seminar at Laboratory of Communication
Networks, Royal Institute of Technology in
Stockholm November 9, 2005
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What would i like to tell today about

• Grant for my staying at LCN
• Where do i live and work
• Several words about me
• Academic affairs and teaching courses
• Science publications and textbooks
• The main researches made in past
• Tools for telecom courses

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Grant for my staying at LCN

• Long-term bilateral scholarship
• The bilateral scholarship programmes are exchange
  programmes based on formal or informal agreements
  between Sweden and other countries whereby
  foreign students and researchers are given the
  opportunity to study at Swedish universities and
  other institutions of learning.
• Similarly, Swedish students and researchers are
  offered scholarships by the authorities of these
  countries

• Scholarship is granted Swedish Institute
  (www.si.se)
• According to bilateral agreements SI give annual
  stipend for exchanges of students and researchers

• Host part is Lab of Communication Networks, KTH
  (www.s3.kth.se/lcn). Supervisor is Dr. Viktoria
  Vodor

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Where do i live and work

• My District and City

Udmurt Republic www.udmurt.ru Izhevsk
www.izh.ru

• Udmurt Republic is one of 89 districts of Russia

• Izhevsk is Capitol of Udmurt Republic

• Izhevsk is located
• about 1 100 km from Moscow

• Population of Izhevsk is about 650 000 people

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Where do i live and work

• My University

Izhevsk State Technical University
www.istu.ru

• Izhevsk State Technical University is one of 4
  State universities in Izhevsk

• It was created in 1952

• There are about 10 000 students and 14 faculties
  in the most of technical areas.

• University has cooperation and student/researcher
  exchanges with many Russians and abroad
  universities.

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Where do i live and work

• My Department

http//www.istu.ru/unit/prib/net
TNS Department
Equipments and methods of quality control
Radio Engineering
Physics
Electrical Engineering
Laser systems

• Department was created at 1998

Design of radio-equipment

• Specialities for students
• Telecom networks and switching systems
• Transmit telecom systems

• Labs
• Communication theory
• Switching systems
• Electronics lab
• Communication networks

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Several words about me
Education
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Several words about me
Work
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Several words about me
Presently i am
ALBERT ABILOV
Candidate of Science, Docent in Izhevsk State
Technical University
My contacts are
Address 7, Studencheskaya str. Izhevsk, 426069,
RUSSIA Office Izhevsk State Technical
University Building 1, Floor 4, Room 403
Phone/fax [phone] Mobile 7 9128
562202 E-mail abilov_at_udm.ru
WWW http//www.istu.ru/unit/prib/net/abilov
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Academic affairs and teaching courses

• Academic affairs

Grants and Fellowships
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Academic affairs and teaching courses

• Membership Boards, Committee, etc.

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Academic affairs and teaching courses

• Honorary awards, appreciations and gratitudes

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Academic affairs and teaching courses

• Teaching courses at present

Courses taught in past
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Science publications and textbooks

• Publications

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Science publications and textbooks

• Published Textbooks in Telecommunications

Abilov A.V. Lectures Multichannel transmit
systems. Izhevsk Publishing house of Izhevsk
State Technical University, 2001. 130 pp (in
Russian)
Abilov A.V. Radio propagation in mobile networks.
Izhevsk Publishing house of Izhevsk State
Technical University, 2001. 24 pp (in Russian)
Abilov A.V. Cellular networks Education guidance
for course Telecommunication networks.
Izhevsk Publishing house of Izhevsk State
Technical University, 2000. 20 pp (in Russian)
Abilov A.V. Telecommunication networks and
switching systems. Recommended as Education
guidance for universities of Russia. Radio and
Communication Publishing house, Moscow, 2004.
288 pp (in Russian)
Albert V. Abilov Telecommunication networks
development. Izhevsk Publishing house of
Izhevsk State Technical University, 2002. 352
pp (in English)
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Science publications and textbooks

• to be published soon.

Prozorov V.M., Steblenko A.I., Abilov A.V.
Signalization in communication networks.
Moscow Hot line Telecom Publishing house,
2006 (CD tutorial with animations)
Prozorov V.M., Steblenko A.I., Abilov A.V. Common
Channel Signalization 7 Moscow Hot line
Telecom Publishing house, 2006. approx. 200 pp

it is planned.
Abilov A.V. Telecommunications in Udmurt Republic
(Russia) past, present and strategies of future
development up to the 2010 year 2006. approx.
300 pp
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The main research made in past
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Candidate of Science (PhD) theses
Supervisor Prof. Vladimir V. Khvorenkov
Design and research of algorithms of digital
signal estimation and optimal utilization of
frequency resource in mobile telecommunication
system
The main tasks

• Creation of mathematical models of digital mobile
  communication systems
• Research and design algorithms for optimal
  receiving of digital signals
• Creation of realistic algorithms for receiving of
  digital signals and for control of forward
  channel state in mobile system
• Creation of simulation model for control
  algorithms
• Analysis of efficiency of former and offered
  algorithms for receiving of digital signals and
  for control of forward channel state by means of
  simulation
• Design of hard- and software facilities for
  realization of offered algorithms in subscriber
  station of Volemot mobile system
• Trial (field) testing and experimental evaluation
  of offered algorithms efficiency

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Candidate of Science theses
Supervisor Prof. Vladimir V. Khvorenkov
Design and research of algorithms of digital
signal estimation and optimal utilization of
frequency resource in mobile telecommunication
system

• Math model of digital mobile communication channel

state vector
errors vector
control vector
estimation vector
D delay
Source of errors
Source of control
Source of information codewords
For estimation
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Candidate of Science theses
Supervisor Prof. Vladimir V. Khvorenkov
Design and research of algorithms of digital
signal estimation and optimal utilization of
frequency resource in mobile telecommunication
system

• Model of adaptive mobile communication channel

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Candidate of Science theses
Supervisor Prof. Vladimir V. Khvorenkov
Design and research of algorithms of digital
signal estimation and optimal utilization of
frequency resource in mobile telecommunication
system

• Model of channel searching in mobile system

Channel scanning of BS
Blocks
Codewords
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Candidate of Science theses
Supervisor Prof. Vladimir V. Khvorenkov
Design and research of algorithms of digital
signal estimation and optimal utilization of
frequency resource in mobile telecommunication
system

• Model of channel searching in mobile system

Source of information codewords
Quality of channels estimation
Sources of errors
Errors estimation
Criterion of channel quality is minimum of bit
errors ratio (BER)
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Candidate of Science theses
Supervisor Prof. Vladimir V. Khvorenkov
Design and research of algorithms of digital
signal estimation and optimal utilization of
frequency resource in mobile telecommunication
system

• Algorithm of digital information receiving in
  signaling channels
• of VOLEMOT mobile system. Results of
  simulation

Algorithm which was compare of two
nearby codewords during fix time
Offered and realized algorithm voting method
Correct receive for offered algorithm
with reduced probability of false receive
Correct receive for former algorithm
Correct receive for offered algorithm
False receive for offered algorithm
Probability of codeword receive
Probability of codeword receive
False receive for former algorithm
Bit error probability
Bit error probability
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Candidate of Science theses
Supervisor Prof. Vladimir V. Khvorenkov
Design and research of algorithms of digital
signal estimation and optimal utilization of
frequency resource in mobile telecommunication
system

• Algorithm of digital information receiving in
  signaling channels
• of VOLEMOT mobile system. Results of
  simulation

Offered synchronization byte 01111110
Former
Correct receive for offered algorithm with new
synchro-byte
Correct receive for offered algorithm with former
synchro-byte
Correct receive for former algorithm with former
synchro-byte
Probability of codeword receive
Offered
Bit error probability
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Candidate of Science theses
Supervisor Prof. Vladimir V. Khvorenkov
Design and research of algorithms of digital
signal estimation and optimal utilization of
frequency resource in mobile telecommunication
system

• Simulation model of channel searching in mobile
  system

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Candidate of Science theses
Supervisor Prof. Vladimir V. Khvorenkov
Design and research of algorithms of digital
signal estimation and optimal utilization of
frequency resource in mobile telecommunication
system

• Simulation model of channel searching in mobile
  system

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Candidate of Science theses
Supervisor Prof. Vladimir V. Khvorenkov
Design and research of algorithms of digital
signal estimation and optimal utilization of
frequency resource in mobile telecommunication
system

• Simulation model of channel searching in mobile
  system

Criterion of efficiency average bit errors ratio
on the simulation interval
Threshold for changing channel
0,01
Former control algorithm
Offered control algorithm
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Candidate of Science theses
Supervisor Prof. Vladimir V. Khvorenkov
Design and research of algorithms of digital
signal estimation and optimal utilization of
frequency resource in mobile telecommunication
system

• How threshold for changing channel influence on
  average error ratio and gain (results of
  simulation)

Average BER for former algorithm
Gain
Average BER ratio for offered algorithm
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Candidate of Science theses
Supervisor Prof. Vladimir V. Khvorenkov
Design and research of algorithms of digital
signal estimation and optimal utilization of
frequency resource in mobile telecommunication
system

• Realization and operational testing (trial) of
  algorithms

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Candidate of Science theses
Supervisor Prof. Vladimir V. Khvorenkov
Design and research of algorithms of digital
signal estimation and optimal utilization of
frequency resource in mobile telecommunication
system

• Realization and operational testing (trial) of
  algorithms on real system

Former control algorithm
Offered control algorithm
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Candidate of Science theses
Supervisor Prof. Vladimir V. Khvorenkov
Design and research of algorithms of digital
signal estimation and optimal utilization of
frequency resource in mobile telecommunication
system

• How threshold for changing channel influence on
  average BER and gain (results of experiment)

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Applications for network planning
Tool for cellular radio subsystem planning

• Hata model for radio propagation in urban area

Pathloss (Hata model)
Example for Tolyatty City
Receiving power
Signal-noise ratio
N noise level
Bit error probability
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Applications for network planning
Tool for cellular radio subsystem planning

• Corrected model for radio propagation in urban
  area (for Tolyatti city)

Pathloss
Corrected factors
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Applications for network planning
Co-author Roman Semieshin
Tool for cellular radio subsystem planning
Parameters of network

• Realization of model in network planning tool

• Features of tool
• approximate coverage of cell calculation
• network configuration planning

Base station parameters
Interface
Factors of Hata model
Switching center parameters
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Applications for network planning
Co-author Alexey Susekov
Tool for urban and rural telephone networks
planning

• Realization of famous models in network planning
  tool

• Features of tool
• traffic calculation
• trunk lines calculation
• for urban and rural applications
• network planning and
• traffic forecasting.

Interface
It is now utilized for educational process
Switching station parameters
Types of traffic
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Applications for network planning
Co-author Eugeny Kulyabin
Tool for traffic post-processing of switching
station

• Traffic post-processing

• Features of tool
• transformation traffic measurements data to the
  data base format
• post-processing and visualization of traffic
  measurements data
• saving results in MS Excel format

Example of CCS7 traffic post-processing
It was utilized by Telephone operator
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Applications for network planning
Co-author Vladimir Prozorov
Character of distribution of telephone traffic on
trunk group

• The main goal is examine of traffic in trunk
  groups between two exchanges under the conditions
  alternation of subscribers amount

Telephone network
Distribution of traffic Y in trunk groups between
EXi and EXj
N subscriber capacity ? - gravity factor.
Traffic is a function of one variable ?x
As Yij(?x) is a continuous function (?x
definition domain ranges from 0 to Nj), we can
seek extremes by the first derivative.
From the expression we get the value
of ?x, at which the function in question reaches
extremum
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Applications for network planning
Co-author Vladimir Prozorov
Character of distribution of telephone traffic on
trunk group

• The main goal is examine of traffic in trunk
  groups between two exchanges under the conditions
  alternation of subscribers amount

Distribution of interexchange traffic at ?y ?x
Example of distribution of interexchange traffic
between two Exchanges of real telephone network
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Telecom infrastructure development
Advisor and Principal Investigator Albert Abilov
Research Project ? ?-1-02 Conception of
telecommunication infrastructure development in
Udmurt Republic till 2010 year Grant Ministry
of fuel, energy and communication of Udmurt
Republic, Russia
Basic objectives and tasks of the conception

• To determine the most important trends, basic
  views and regulations concerning
  telecommunication networks and services
  development in the Udmurt Republic up to the year
  2010

Expected resulting effect

• Realization of the conception will reduce the lag
  of the Udmurt Republic in the world basic
  telecommunication indices and will provide people
  and organizations with high-quality communication
  services

Conception has been approved and accepted for
realization by Government of Udmurt Republic
(Russia) in June 2004
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Telecom infrastructure development
Advisor and Principal Investigator Albert Abilov
Research Project ? ?-1-02 Conception of
telecommunication networks development in Udmurt
Republic till 2010 year Grant Ministry of fuel,
energy and communication of Udmurt Republic,
Russia
CONTENTS List of abbreviations Passport of the
conception INTRODUCTION 1. WORLD TRENDS OF
INFO-COMMUNICATIONS DEVELOPMENT 1.1. XXIst
century a century of information society 1.2.
Trends of development of present-day
info-communication technologies 1.2.1.
Convergence of info-communication
technologies 1.2.2. Trends of network technology
development 1.2.3. Evolution of terrestrial
mobile radiotelephone systems 1.2.4. Development
of Internet and intelligent communication
networks 1.3. Development of info-communication
services 1.4. State-of-the-art and forecast of
info-communication development 1.5. Formation of
a new model of info-communication space 2.
PRESENT-DAY SITUATION AND WAYS OF COMMUNICATION
AND INFORMATIZATION INDUSTRY DEVELOPMENT IN THE
RUSSIAN FEDERATION 2.1. General description of
communication and informatization 2.1.1. The
branch reform 2.1.2. The branch state in the
world reference system 2.1.3. Categories of
communication services and the market
structure 2.2. State and development of basic
telecommunication services 2.2.1. Unified
telecommunication network of the Russian
Federation 2.2.2. International, long-distance
and local telephony 2.2.3. Document
telecommunication 2.2.4. TV- and radio
broadcasting 2.2.5. Mobile radiotelephony 2.3.
The branch organization structure 2.4. Prospects
of the branch development 3. PRESENT-DAY STATE OF
TELECOMMUNICATION NETWORKS IN THE UDMURT
REPUBLIC 3.1. Place of the Udmurt Republic in
telecommunication space of the Russian
Federation 3.2. Structure of telecommunication
complex
3.3. Analysis of key segments of the market of
communication service 3.3.1. Structure of the
market of communication service and tariff
policy 3.3.2. International and long-distance
telephony 3.3.3. Local telephony 3.3.4. Document
telecommunication 3.3.5. Mobile
radiotelephony 3.3.6. Wire sound
broadcasting 3.3.7. Television- and radio
broadcasting and cable television 3.4.
Technological and special-purpose communication
networks 3.5. Consumer categories and analysis of
demand for communication services 3.6. State of
educational, scientific and industrial
resources 4. ANALYSIS OF TRENDS AND FORECAST OF
COMMUNICATION MARKET DEVELOPMENT IN THE UDMURT
REPUBLIC 4.1. Basic regularities and trends of
development 4.2. Forecast of development indices
for key segments of the market for the period up
to the year 2010 4.3. Trends of change in
consumer preferences 5. STRATEGY OF
TELECOMMUNICATION NETWORKS DEVELOPMENT IN THE
UDMURT REPUBLIC 5.1. Strategic tasks of
development 5.2. Development of telecommunication
networks 5.2.1. Primary communication
networks 5.2.2. Public telephone networks 5.2.3.
Public mobile communication networks 5.2.4.
Document telecommunication 5.2.5. TV- and sound
broadcasting 5.2.6. Technological communication
networks 5.3. Development of educational,
scientific and industrial resources of the
branch 5.4. Basic measures and stages of
conception realization CONCLUSION Bibliography
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Telecom infrastructure development
Co-author Elena Korotaeva
Markovian approach for telecommunication
indicators forecast

• The main goal is to offer model which describes
  behavior of info-communication indicators in time
  and makes it possible to predict their future
  behavior

Telecommunication index S in any point of time is
in one of the discrete states
The probability of the i-th state in t point of
time pi(t) is defined as
pi(t) P S(t) ai
The main problem of the Markov process theory
consists in calculation of unconditional
probabilities pi(k) of system S being in ai state
at any k-th step
There should be known starting probability
distribution and transition probabilities of the
Markov chain at the k-th step, i.e. the
conditional probabilities of system S transition
into the state aj at the k-th step if at the
previous (k1)-th step it is known to be in the
state ai
pij (k) P S(k) aj S(k1) ai (i,j 1,
2, , n)
For homogeneous Markov chain the transition
probabilities are independent of the step number
and are described by transition probability
matrix
So, the Markov chain is defined by the
probability vector of initial states of the
process P(0) pi(0), by the matrix of one-step
transition probabilities and by the period of
state transition of the Markov chain (tk tk1
T). For homogeneous Markov chain the probability
of the i-th state at the k-th step is defined by
Markovian recurrence equation
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Telecom infrastructure development
Co-author Elena Korotaeva
Markovian approach for telecommunication
indicators forecast

• The main goal is to offer model which describes
  behavior of info-communication indicators in time
  and makes it possible to predict their future
  behavior

Consider application of the probabilistic model
by the example of the telephone density index.
Behavior of the telephone density index in urban
and rural telephone networks of the Udmurt
Republic (Russia) for the period from 1996 to
2004 is shown here
Approximate the dynamics of the index with a
polynomial curve by least-squares method and
calculate the intermediate values of telephone
density for each quarter of respective year. An
event will be considered to occur if the
parameter at given point of time has changed by a
certain value ?S(k) as compared with the previous
point of time. For instance, an event occurs if
telephone density increases for one quarter by
0,1 telephone set per 100 men. Then initial
probabilities of each event are calculated.
Transition probability matrix for given
distribution looks as follows
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Telecom infrastructure development
Co-author Elena Korotaeva
Markovian approach for telecommunication
indicators forecast

• The main goal is to offer model which describes
  behavior of info-communication indicators in time
  and makes it possible to predict their future
  behavior

To draw a graph of index behavior with taking
into account future periods we should calculate
the average of distribution M, variance s2 and
standard deviation s of ?S (k) for this index.
Maximum and minimum values of ?S?? are
calculated by formulas
?S?? MAX M s, ?S?? MIN M s
By these data, the curves of pessimistic and
optimistic prediction of telephone density
increase are drawn for future periods
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Telecom infrastructure development
Co-author Elena Korotaeva
Influence of educational level on telecom
infrastructure development
Education Index in Russia
Reached Education Level (REL) is based on five
variables, Covering educational and social areas
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Telecom infrastructure development
Co-author Elena Korotaeva
Influence of educational level on telecom
infrastructure development
Info-communication vector development
Spirmens index of correlation
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Tool for telecom courses
Co-author Vladimir Prozorov
Signalization in communication networks

• The main goal is give the best understanding of
  signalization principles by means texts, pictures
  and animations

Tool consist of two parts 1. Channel associated
signalization. 2. Common channel signalization 7
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Tool for telecom courses
Co-author Vladimir Prozorov
Signalization in communication networks

• The main goal is give the best understanding of
  signalization principles by means texts, pictures
  and animations

Several examples Channel associated signalization
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Tool for telecom courses
Co-author Vladimir Prozorov
Signalization in communication networks

• The main goal is give the best understanding of
  signalization principles by means texts, pictures
  and animations

Several examples Common channel signalization 7
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Tool for telecom courses
to be planned in future

• The main goal is give the best understanding in
  telecommunications
• Interface will look may be something like this

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Thank you