Telecommunication challenges


Chronology: February 2005 to June 2005
Geographical location: Syria
Name of the organization: Aleppo University
Position: Electronic Engineering graduate
Supervision: Ph.D. Haleem

The project emphasize on to take account of a number of telecommunication challenges into the
application. The investigation is based on the analysis of challenges in quality of service. Cost-effective
telecommunication industry provides an optimal solution for high-cost operation. The idea behind the
cellular technology consists of a number of factors such as call handling, management of frequency and
area division. Cellular density and demand are considered during the design of a cellular network.
The project was performed with the objective to take the telecommunication challenges into the
application. Similarly, I set the following objectives to detail the project and get enough information
from this research project:

To study the Telecom Cost effective solutions to high-cost operations.
To research on Quality of service challenge

The following figure shows my position during the project:
Figure Organogram
The following task was the major duties that I performed during the project:

I did a detail literature survey to understand the concept of telecommunication

I investigated the problems faced by the telecommunication industry due to growth in user
I mapped the research plan with coordination with project member
I used the VB programming language to demonstrate the application.
I analyzed the data and information obtained to conclude the causes and solution to these

I initiated the task of the project by performing a literature survey to acquire the concept of cellular and
mobile network in the telecommunication industry. I reviewed the operation of software used in the
analysis of telecommunication challenges. I generated the research strategies and methodology to carry
out the project work.
University of
department of
Prof. Moh’d
Kayali Head of
Dr. Haleem
Nawras Moh’d

I investigated key problems generated in the telecommunication industry. I found that massive growth
of cell phone user, the telecommunication industry had to face the problem like degradation of GOS,
lack of radio channels. Hence I investigated these issues to solve these subjects through a hard working
on relevant research.
I mapped the research plan with coordination with project member. I assigned the task to a group
member by identifying the roles of the entire member.
I collected the data from the telecom books. I gathered the technical details associated with the cellular
and mobile network. I demonstrated several challenges by developing the application. I used the VB
programming language to demonstrate the application.
Among the huge volume of information in the studied regard, I started to select the relevant reports and
findings to the problems we were trying to discuss. I analyzed the data and information obtained from
detail study allied with the telecommunication industry. I discussed with the project mentor and group
member to figure out the optimal solution for the issue generated in the telecommunication industry.
I faced a lack of radio channels as a major problem in the telecommunication industry. I
investigated the key reason for the lack of channel in the telecommunication industry. I found
that due to the heavy growth of mobile user radio spectrum become limited. The subscriber
services provided by the telecom providers faced the issue of limited radio channels. I reviewed
the process of channel de-allocation and allocation of the voice channel. I analyzed that channel
de-allocation, and allocation techniques served the user on demand. I applied the trunking
theory to analyze the performance. I evaluated the capacity of the channel by applying the
trunking theory. I allocated the appropriate channel that meets the grade of service. I
determined several factors such as blocked call, traffic intensity, load, along with the request
rate. I noted down the basic parameter for the user, system channel of trunking theory. I
evaluated the probability of GOS by considering the call was blocked and experiencing a delay
that was larger than that of the queuing time. I found that the cellular radio network based on
trunking could accommodate the large users in particular radio spectrum. I applied the concept
of the trunking that allowed the huge amount of user to share less number of channels by
providing access to the user. I considered the telephone system and investigated the statistical
behaviour of the input. I analyzed that concept of trunking provided access on the basis of user
demand from channels. I observed that trunking represented the statistical characteristic of the
user which allowed to accommodate fixed channel and circuits to a large and random user.
I identified another issue as densification of the network level. I found that the network provider
uses high-frequency band due to which network occupied more density as a number of
transmission points, a base station that added the significant requirement for backhaul and

transport network. I observed that the transport and backhaul network generated by networklevel densification became key challenges for business and technology standpoint. I introduced
the use case over time and demand of the customer. I analyzed that the propagation of the use
cases was varying and depended on the region, user and necessity of particular user. I analyzed
that the network operator must be attuned to the desire of the customer by addressing the
capability of the network. I provided an optimal process for the slicing and virtualization of the
network. I specified the proper slicing and virtualization techniques for the telecom industry. I
found that network slicing provided a significant way to allocate the resources to various
services. I specified the dedicated resources for the slice and virtualization of the network. I
applied the resource provisioning strategies to increase the transmission power between the
base station and the subscriber terminal. I established the radio convergence by computing the
static attribute of network architecture. I analyzed the performance of the network by
evaluating the call blocking probability. I employed the GOS to identify the channel allocation
techniques. I suggested using the optimal approach as fibre optic backhaul connection that
helped to achieve the desired result in terms of reliability, latency along with the bandwidth.
I met the issue on the telecommunication industry as a loss of routing protocol because of
network congestion. I observed that network congestion leads to network instability and routing
failure. I found that the channel segregation could reduce the switching load. I employed the
proper radio plan, cellular tires as a key traffic requirement to enhance power transmission. I
assumed the network with the fixed number of homogeneous cell and channel, which allowed
to analyze the allocation process of the channel in the network. I categorized the allocation
techniques to identify the characteristics of the channel. I compared the data obtained from the
various investigation. I evaluated the holding time for the allocated channel. I used the blocking
probability to determine the call arriving and leaving rate. I determined the amount of
interference and maximum channel packing. I applied the performance algorithm to evaluate
the network performance, which was based on an update and transmission probability
mechanism. I analyzed the performance matrices with the help of different channel scheme. I
analyzed the network environment by using traffic simulator. I validated the different challenges
by developing the application. I used the VB programming language to validate the application. I
attempted to reduce the convergence time of the network in response to link as well as node
failure of the network. I applied the algorithm that allowed to tune the OSPF failure dynamically
based on the congestion level of the network. I accomplished the simulation with constant FTP
data traffic and a bit rate, which showed the uninterrupted data transfer by OSPF protocol.
I introduced the performance algorithm while investigating the network challenges which helped to
analyze the performance of the mobile network and bases station. I used the VB programming language
to represent issue associated with the telecommunication industry.
Since this was completely a research project, I made sure the whole team participated and performed
every work with cooperation. I shared the findings with my team and gave them an idea about the

problems, its causes and conducted meetings to discuss the probable solution to those problems. I also
asked for help to the supervisor for listing out the solutions to different problems. I allocated the work
to the team and gave them different field for research. The decision making was held in a group, and
every member’s decision and thoughts were respected and considered to make the necessary analysis
and result.
I followed the rules of the university and telecom industry on different data and developed necessary
analysis on the basis of the data obtained from the survey of the user. I developed a working
environment and respected every decision made by my teachers and professors. I was never part of any
unethical activity. I also followed the international standards such as IEEE 802 for networking and IEEE
521-2002 for radio bands.
I collected data and information from different sources and telecommunication firms regarding the
problems faced in telecommunication and its causes. I analyzed the data and investigated the issues,
used a programming language to demonstrate the application and investigated the solution for these
I analyzed that channel sharing drawback of FCA method could be solved by applying the borrowing
approach. I used a systematic approach to perform the work and wrote notes to get a clear idea about
the project. I also analyzed the performance table to evaluate the performance of each member.
I performed different research-based findings and noted my work. This helped in understanding the
basics of the telecommunication sector, the problems due to growth in user and get ideas on the
possible solution to mitigate such problems.