This document discusses key concepts in telecommunications network planning and traffic engineering. It covers:
- Types of random processes used to model network usage patterns like call arrival rates and durations.
- How traffic engineering balances factors like grade of service, resources, blocking vs. delay systems based on traffic amounts.
- Key metrics like erlangs, traffic intensity, busy hour, traffic volume that are used to quantify network usage and demand.
- Concepts like grade of service, blocking probability, and how they measure network performance during busy periods.
Introduction to basics of wireless networks such as
• Radio waves & wireless signal encoding techniques
• Wireless networking issues & constraints
• Wireless internetworking devices
Introduction to basics of wireless networks such as
• Radio waves & wireless signal encoding techniques
• Wireless networking issues & constraints
• Wireless internetworking devices
Field of telecommunications has evolved from crudest form of communications to electrical, radio and electro-optical communications. From manual exchange like local battery, central battery exchange, to crossbar switching, director system and to common control systems, telephone communications had started evolving to cater to better and better specifications and needs. Touch tone dial telephone opened a new horizon in the field of end to end signalling. Then came computerised stored program control systems, various multiplexing techniques. With increase in traffic there was a need to study traffic and blocking capabilities....
Loss of strength, A periodic reduction in the received strength of a radio transmission.
This is about the phenomenon of loss of signal in telecommunications.Fading refers to the
time variation of the received signal power caused by changes in the transmission medium or path.
It is description about trunking theory that is used to develop trunked system that can allocate a limited number of channels to a large number of users.
Deterministic MIMO Channel Capacity
• CSI is Known to the Transmitter Side
• CSI is Not Available at the Transmitter Side
Channel Capacity of Random MIMO Channels
Field of telecommunications has evolved from crudest form of communications to electrical, radio and electro-optical communications. From manual exchange like local battery, central battery exchange, to crossbar switching, director system and to common control systems, telephone communications had started evolving to cater to better and better specifications and needs. Touch tone dial telephone opened a new horizon in the field of end to end signalling. Then came computerised stored program control systems, various multiplexing techniques. With increase in traffic there was a need to study traffic and blocking capabilities....
Loss of strength, A periodic reduction in the received strength of a radio transmission.
This is about the phenomenon of loss of signal in telecommunications.Fading refers to the
time variation of the received signal power caused by changes in the transmission medium or path.
It is description about trunking theory that is used to develop trunked system that can allocate a limited number of channels to a large number of users.
Deterministic MIMO Channel Capacity
• CSI is Known to the Transmitter Side
• CSI is Not Available at the Transmitter Side
Channel Capacity of Random MIMO Channels
Cellular wireless systems like GSM suffer from congestion resulting in overall system degradation and poor service delivery. When the traffic demand in a geographical area is high, the input traffic rate will exceed thecapacity of the output lines. This work focused on homogenous wireless network (the network traffic and resource dimensioning that are statistically identical) such that the network performance
evaluation can be reduced to a system with single cell and a single traffic type. Such system can employa queuing model to evaluate the performance metric of a cell in terms of blocking probability.
Five congestion control models were compared in the work to ascertain their peculiarities, they are Erlang B, Erlang C, Engset (cleared), Engset (buffered), and Bernoulli. To analyze the system, an aggregate onedimensional Markov chain wasderived, such that it describes a call arrival process under the assumption
that it is Poisson distributed. The models were simulated and their results show varying performances, however the Bernoulli model (Pb5) tends to show a situation that allows more users access to the system and the congestion level remain unaffected despite increase in the number of users and the offered traffic into the system.
Classical Discrete-Time Fourier TransformBased Channel Estimation for MIMO-OF...IJCSEA Journal
In this document, we look at various time domain channel estimation methods with this constraint of null carriers at spectrumborders.We showin detail howto gauge the importance of the “border effect” depending on the number of null carriers, which may vary from one system to another. Thereby we assess the limit of the technique discussed when the number of null carriers is large. Finally the DFT with the truncated singular value decomposition (SVD) technique is proposed to completely eliminate the impact of the null subcarriers whatever their number. A technique for the determination of the truncation threshold for any MIMO-OFDM system is also proposed.
USE TORA TODetermine the maximum flow and the optimum flow in eac.pdfseamusschwaabl99557
USE TORA TO:
Determine the maximum flow and the optimum flow in each arc for the network in the following
figure.
Clearly show all steps and data input.
Exterior Graph Data, Nodes listed outside paranthesis
Node 1 (14) to Node 3 (0)
Node 3 (10) to Node 5 (0)
Node 5(0) to Node 4 (5)
Node 4(6) to Node 2 (7)
Node 2(0) to Node 1 (8)
Interior Graph (Triangle ) Data
Node3 (10) to Node2(5)
Node3 (9) to Node 4(7)
Second Interior Graph Data
Node5 (0) to Node2(6)
Solution
The most successful and simple model is Erlang\'s loss system where the blocking probability is
given by Erlang\'s B-formula. The traffic is described by the offered traffic A, the system (only
one link) by the number of channels, and the strategy is full accessibility with lost calls cleared.
The above-mentioned three elements of the model are each described by only one parameter.
Only single-channel calls are considered. The network performance is described by the blocking
probability E1,n(A), i.e. the probability that a call attempts is blocked because all n channels are
busy. For Erlang\'s loss system time, call, and traffic congestions are equal. The state
probabilities are given by the truncated Poisson distribution, and when the number of channels is
very large this becomes a Poisson distribution. This model has been very successful for traffic
engineering. The background for this success is that the traffic is very well modeled by one
parameter only. The underlying mathematical assumption is a Poisson arrival process. This is
fulfilled when the traffic is generated by many independent users, which is the case for
telephony. If the arrival process is a Poisson process, then the model is insensitive to the holding
time distribution, which means that only the mean holding time is of importance. So the model is
very robust to the traffic and models the real world extremely well. Improvement function: This
denotes the increase in carried traffic when the number of channels is increased by one from n to
n + 1: 64 Attention: This is not an ITU publication made available to the public, but an internal
ITU Document intended only for use by the Member States of the ITU and by its Sector
Members and their respective staff and collaborators in their ITU related work. It shall not be
made available to, and used by, any other persons or entities without the prior written consent of
the ITU. ITU Telecom Network Planning Reference Manual - Draft version 4.1 January 2007
4.8.4.3 Engset\'s loss system The Poisson arrival process is the most random process, and the
calls are generated by a very large number of independent sources, each having an infinitesimal
calling rate. In many real systems the number of users is limited, and the arrival process is more
regular or smooth than random traffic. This is modeled by Engset\'s loss system where we have a
finite number S of users (traffic sources) which alternates between the states off (= idle) and on
(= busy). When a source is idle it generates cal.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
2.
Covers specific types of random processes in
telecommunications
– Average connection duration
– Average number of users
– Busy time
– Service time
– Call arrival
2
3.
Required in telecommunications network planning to ensure
that network costs are minimized without compromising the
quality of service (QoS) delivered to the user of the network.
– It is based on probability theory and can be used to analyze
mobile radio networks as well as other telecommunications
networks.
Mobile radio networks have traffic issues that do not arise in the
fixed line PSTN. A mobile handset, moving in a cell, receives a
signal with varying strength. This signal strength is subject to:
– slow fading,
– fast fading
– interference from other signals,
3
4. •
•
Traffic engineering balances the following factors based on given
amount of traffic
• Grade of Service (GOS)
• Resources (e.g. trunk channels)
Two types of systems implemented to provide voice
communications
– Blocking
• Voice or data is blocked (by a busy signal) if network
resource (e.g trunk channel) is not available.
• GOS = Blocking probability
– Delay System
• Voice or data is queued until network resource is available
• GOS = Queuing Probability and average time in queue
4
5.
Holding Time - the length of time that a resource is
being held
(e.g the duration of a phone call)
Traffic volume - for an interval is the sum of all the
traffic holding times for that interval
Traffic intensity = traffic volume / time interval which
is a measure of demand
5
6.
Erlangs - describe traffic intensity in terms of the
number of hours of resource time required per hour of
elapsed time
CCS( Centum Call Seconds) - measures the exact
same traffic intensity as the Erlangs but expresses it as
the number of 100 second holding times required per
hour. Traffic registers sample stations every 100 seconds
per hour to check for busies. Since there are 36 sets of
hundred seconds in an hour
36 CCS = 1 Erlangs
6
7.
Erlangs:
Traffic intensity (named after of a Danish mathematician) is the
average number of calls simultaneously in progress over a
certain time. It is a dimensionless unit.
– Erlang
• one hour of continuous use of one channel = 1
Erlang
• 1 Erlang = 1 hour (60 minutes) of traffic
– In data communications, an 1 E = 64 kbps of data
– In telephone, 1 Erlang = 60 mins = 1 x 3600 call seconds
% of Occupancy
7
8.
For example, if a group of user made 30 calls in one
hour, and each call had an average call duration of 5
minutes, then the number of Erlangs this represents is
worked out as follows:
Minutes of traffic in the hour = number of calls x duration
Minutes of traffic in the hour = 30 x 5
Minutes of traffic in the hour = 150
Hours of traffic in the hour = 150 / 60
Hours of traffic in the hour = 2.5
Traffic figure = 2.5 Erlangs
8
9. ◦ Call holding time is the length of time during
which a traffic source engages a traffic path or
channel. 1 – 3 minutes typical, >10 minutes
infrequent for voice.
H = average
holding time,
3 minutes.
Negative
exponential
10.
Busy hour is that continuous 60 minutes time
span of the day during which the highest
usage occurs.
11.
Note:
◦
◦
◦
◦
may not occur at the same time every day
weekly variation
week day /weekend variation
seasonal variation
Mathematical formulas assume the busy hour
traffic intensity is the average of an infinite
number of busy hours.
12.
ADPH (Average Daily Peak Hour)
◦ − one determines the busiest hour separately for each day
(different time for different days), and then averages over e.g. 10
days
◦ − the resolution of the start time of the busy hour may be either a
full hour (ADPH-F) or a quarter of an hour (ADPH-Q)
TCBH (Time Consistent Busy Hour)
◦ − a period of one hour, the same for each day, which gives the
greatest average traffic over e.g. 10 days
FDMH (Fixed Daily Measurement Hour)
◦ − a predetermined, fixed measurement hour (e.g. 9.30-10.30);
the measured traffic is averaged over e.g. 10 days
aFDMH ≤ aTCBH ≤ aADPH
13.
Traffic Density is defined as the number of
simultaneous calls at a given moment.
Traffic Intensity,A represents the average
traffic density (occupancy) during any one
hour period.
◦ Occupancy is any use of a traffic resource
regardless of whether or not a connection (call) is
completed.
◦ Occupancy is the probability of finding the trunk
busy is equal to the proportion of time for which
the trunk is busy
14.
A Loss System is one in which a call attempt
is rejected when there is no idle resource to
serve the call. (BCC – Blocked Call Cleared)
◦ Blocked calls…
A Delay System is one in which call attempts
are held in a waiting queue until resource are
available to serve the calls.
◦ Delayed calls…
15.
Offered traffic is the traffic intensity that
would occur if all traffic submitted to a group
of circuits could be processed.
Carried traffic is the traffic intensity actually
handled by the group.
Blocked traffic is that portion of traffic that
cannot be processed by the group of circuits
(I.e. offered traffic minus carried traffic).
◦ Blocked traffic may be rejected, retried or offered to
another group of circuits (overflow).
16. Let
N channels
Carried traffic (C)
Offered traffic (A)
◦ A be the offered traffic
◦ C be the carried traffic,
Lost traffic; (BxA )
◦ B is blocking probability
◦ Lost traffic (A- C) = B*A
◦ Probability of blocking
◦ System utilization:
1 B
A1 B
N
C
A
17. Is a measure of the average occupancy of a resource
during a specified period of time, normally a busy hour.
The traffic intensity offered by each user is:
A = μH Erlangs
where
H is the average holding time of a call
μ is the average number of call requested/hour
If there are U users and an unspecified number of channels.
The total offered traffic intensity is:
AT = UA Erlangs
Busy hours traffic: Calls/busy hours *Mean call hold time
17
18. In a trunks system of C channels and equally
Distributed traffic among the channels, the traffic
intensity per channel is:
AC = UA/C
Erlangs/channels
The traffic volume
is a measure of the total work done by a resource or
facility, normally over 24 hours
VT = A * T Erlangs-Hours
18
19. ◦ Traffic Flow = (no. of calls)*(mean call holding time)
◦ Example :
If 100 calls are generated in 1 hour of 3 minutes
average duration
we have 3*100 = 300 call minutes or 300/60 = 5
call hours.
20.
The international dimensionless unit of
telephone traffic is called the Erlang after A.
K. Erlang (1878 – 1929) a Danish scientist.
Defined as one circuit occupied for one hour.
◦ 1 Erlang = 1 Call–hour / hour
Busy hour traffic
◦ Erlangs = (Calls/busy hour)*(mean call holding
time)
(careful with units, all times in hours)
1 Erl = 36 CCS
21. A call established at 1am between a mobile and MSC. Assuming a
continuous connection and data transfer rate at 30 kbit/s, determine the
traffic intensity if the call is terminated at 1.50am.
Solution:
Traffic intensity = (1 call)*(50 mins)*(1 hour/60 min) = 0.833 Er
Note, traffic intensity has nothing to do with the data rate, only the holding time is
taken into account.
Note:
• If the traffic intensity > 1 Erlang: The incoming call rate exceeds the
outgoing calls, thus resulting in queuing delay which will grow without
bound (if the traffic intensity stays the same).
• If the traffic intensity is < 1 Erlang, then the network can handle more
average traffic.
21
22. Consider a PSTN which receives 240 calls/hr. Each call lasts an average
of 5 minutes. What is the outgoing traffic intensity to the public network.
Solution:
A = μ *H
μ = 240 calls/hr and H = 5 minutes
A = (240 calls /hr) x (5 min/call) = 1200 min/hr
Erlang cannot have any unit so
A= 1200 min/hr * (1 hour/60 minutes) = 20 Erlangs
So 20 hours of circuit talk time is required for every hour of elapsed time. An
average
of T1 voice circuits busy at any time is 20. (Or 20 hours of continuous use of
20 channels.)
22
23.
Call established at 2 am between a central computer
and a data terminal. Assuming a continuous
connection and data transferred at 34 kbit/s. What is
the traffic if the call is terminated at 2-45am?
Solution:
Traffic
= (1 call)*(45 min)*(1 hour /60 min)
= 0.75 Erlangs.
It’s nothing to do with the data rate of communication,
only the call holding time.
24.
A group of 20 subscribers generate 50 calls with an
average holding time of 3 minutes, what is the
average traffic per subscriber?
Solution:
Traffic = (50 calls)*(3min)*(1 hour/60 min)
= 2.5 Erlangs
Average traffic per subscriber = 2.5 / 20
= 0.125 Erlangs per subscriber.
Individual (residential) calling rates are quite low and may
be expressed in milli-Erlangs, i.e. 0.125 Erlangs = 125
milli-Erlangs.
25. There are 100 subscribers with the following telephone traffic
profile: 20 make 1 call/hour for 6 minutes; 20 make 3 calls/hour
for half a minute; 60 make 1 call/hour for 1 minute.
Solution:
The traffic they generate is:
20x1x (6/60) = 2 E
20x3x(0.5/60) = 0.5 E
60x1x(1/60) = 1 E
a total traffic of 3.5 E.
On average, each subscriber generates 3.5/100 = 35 mE.
In practice on average telephone subscribers generate between
25 to 35 mE during the busiest hour
26.
Grade of Service is a measure of the probability
that a percentage of the offered traffic will be
blocked or delayed.
◦ the ability to interconnect users
◦ the rapidity with which that connection is made
Commonly expressed as the fraction of calls or
demand that
◦ fails to receive immediate service (blocked calls)
◦ is forced to wait longer than a given time
(delayed calls)
For example, if GOS = 0.05, one call in 20 will be blocked during the
busiest hour because of insufficient
27.
Grade of Service, B
B=
Or
B=
Lost traffic
Offered traffic
Lost call
Offered call
28. A measure of the performance of a telephone
system
GOS is a measure of the ability of a user to access a
trunked system during the busiest hour
Also an indication of the user not being able to
secure a channel during the busiest hour
Telephone networks are designed with specified
GOS, usually for the busiest hour. If a subscriber is
able to make a call during the busiest hour, he will
be able to make a call at any other time
29.
Grade Of Service, B is used to observe and
measure how many calls are offered, carried
and lost in the system.
B=
B=
Number of calls lost
Number of calls offered
Traffic lost
Traffic offered
The lower this number, the higher the GOS.
30. The offered traffic: Volume of traffic offered to a switch that are all processed
is defined as:
Offered traffic = carried traffic + overflow
The carried traffic: The actual traffic carried by a switch.
Overflow (blocked) traffic: Portion of the traffic not processed.
Busy Hour Call Attempts (BHCA)
• Used to evaluate and plan capacity for telephone networks
• Is the number of telephone calls made at the peak hour
• The higher the BHCA, the higher the stress on the network processors.
• Not to be confused with Busy Hour Call Completion (BHCC), which
truly measures the throughput capacity of the network.
30
31. For example, if GOS = 0.05, one call in 20 will be
blocked during the busiest hour because of
insufficient capacity
For GOS = 0.02. This means that two users of the
circuit group out of a hundred will encounter a call
refusal during the busy hour.
32.
1200 calls are offered to a channel and 6
calls are lost. Duration of a call is 3 minutes.
Find:
a)
b)
c)
d)
e)
Offered traffic, A
Carried traffic
Lost traffic
GOS, B
Congestion time
33. A = CH/T = (1200 x 3) / 60 = 60 E
b)
Carried traffic = [(1200-6) x 3] / 60 = 59.7 E
c)
Lost traffic = (6 x 3) / 60 = 0.3 E
d)
B = Lost traffic / Offered traffic
= 6/1200
= 0.005
e) Congestion time
= B x 1 hours (second)
= 0.005 x 60 x 60
= 18 seconds
a)
34.
On average during the busy hour, a company
makes 120 outgoing calls of average duration
2 minutes. it receives 200 incoming calls of
average duration 3 minutes. Find;
◦ A. The outgoing traffic
◦ B. The incoming traffic
◦ C. The total traffic
35.
A. The outgoing traffic is 120 x 2/60 = 4E
B. The incoming traffic is 200 x 3/60 = 10E
C. Total Traffic is 4E + 10E = 14E