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AN IMPROVED MODEL FOR KEY PERFORMANCE INDICATORS ANALYSIS FOR MOBILE NUMBER PORTABILITY SCHEME FOR GSM SUBSCRIBERS IN NIGERIA

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ABSTRACT

In Nigeria today it been observed that when changing from one GSM network operators to the other, customers has to give up their old numbers  and adopt a new one. As a result, they face switching  costs associated  with  informing people  about  changing their number, printing  new business cards, missing valuable calls from people that do not have the new number, etc. In this research the Key Performance  Indicatiors  (KPI) of network  providers  and the causes of poor quality  service  quality  by  GSM  network  operators  in  Nigeria  were  examined.  The  review findings   leads to a  novel   method   of  subscriber   authentication  in mobile cellular networks and its  implementation   framework   in   future   mobile phones  and devices.  Mobile Number portability  (MNP)  Java VSIM  Suite was  suggested  to  all mobile network  operators  and the migration  of subscriber  to  adopt.  Mobile  Number  Portability  is a circuit-switch telecommunications  network  feature that enables end users  to retain their telephone  numbers when changing  service providers,  service types,  and/or locations. A Fuzzy logic block set of MATLAB/Simulink  and Java programming  language  with Netbeans  7.0 and XAMP  Control panel were used in realizing Mobile Number portability (MNP) of different  mobile operators.  A set of benchmarks which are considered as crucial for deployment while taking cognizance of user’s requirements  of mobile devices  shows that  in the KPI  investigations  for MTN,  GLO, ETISALAT and AIRTEL Mobile operators are still yet to deliver a uniform and efficient QoS. Furthermore,  the  approach  demonstrates  the  replaceability  of the  existing  SIM  card  GSM architecture with an adequate trusted software module proposed to develop an improved model for MNP scheme for GSM subscribers in Nigeria using KPis.

CHAPTER  1

INTRODUCTION

The conventional GSM networks in Nigeria suffers from poor quality of service and congestion effects .      Objective measurement in the context of quality of service in mobile cellular networks has presented  a major challenge for both the stakeholders  and end-users. This is traced to the peculiarities  associated  with the QoS metrics.  However, the distinguishing  characteristics  for networks QoS evaluation must tend towards two major ends:  a credible and reliable assessment of the likelihood that users will find a particular  service satisfactory;  and the determination  on how system performance could be changed when that assessment shows that users are not likely to be satisfied.  In recent past,  approaches of proposed network quality of service metrics,  took little cognizance the interests of the users of telecommunications  services and the perspective of the experts who design, build, and operate the systems that deliver those services [2].

Wireless  mobile Internet  is  migrating  towards  an integrated system of Internet  and telecommunication  technologies  in order to fulfill the future requirements of GSM networks i.e ubiquitous communication with best service availability.  This demands a rapid progress in GSM networks and Internet technologies QoS analysis.  Some suggests that Quality of Service should be based on reliability,  availability,  security,  assurance,  simplicity and flexibility of the network as criteria  for judgment.  Others based their  study on user’s  satisfaction using  coverage,  call quality,  promotions  and offering  of incentives  and rewards,  prices of services,  billing etc.  -J.D Power and Associates Survey in United Kingdom (2008).

Consequently,  Global  System  for Mobile  Communications  (GSM)  Association  in  her  2007 convention  in  Sutherland  identified  a list  of indicators  for mobile  phone  quality  of service assessment. These indicators include Network Accessibility, Service Accessibility, Service Integrity, and Service Retainability.

Accordingly,  the incessant complaint by GSM network users in Nigeria concerning the services by their providers is a strong indication that Quality of service rendered by the network operators

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is below  average.  This  challenge  has  been  criticized  by  both  industry  and  consumer  groups among other stakeholders in the sector.

In finding the lasting  solution to the problem,  the NCC  as a body responsible  for the regulation of GSM in Nigeria,  in the last quarters of the year 2011  issue out the threshold levels on the Key Performance  Indicators  (KPis)  for ascertaining  QoS  of all the  GSM  networks  in  the  country. Hence,  stipulates  some sanctions  to any operator  who  fails to meet it.  The KPis  considered  in this work  includes:  Call Completion  Rate  (CCR),  Call Setup  Success Rate  (CSSR),  Call Drop Rate  (CDR),  Call Handover  Success Rate  (CHSR)  and Standalone Dedicated  Control Channel (SDCCH). This research will therefore  focus on the four standards metrics used in assessing the performance  of mobile networks viz:  Accessibility  (i.e.  getting to the network), Retainability (i.e. staying on the network),  Connection Quality or Service Integrity  (i.e.  service experience  while using the network),  and finally the Network  Coverage.  (i.e the geographical  region  covered by one mast)

Therefore,  evaluation  of the mobile  cellular  networks  proposed  in this research  will  center  on these standard metrics for objective  measurement  to show the current KPI status in Nigeria  as a case study and the implementation of Mobile Number  portability  (MNP) to all mobile network operators.

1.2. Problem Statement

One common feature of GSM networks in Nigeria is poor network services as expressed by over

170 million end users considering  their real-time  service subscriptions  to the various network operators.  Network  Congestion is not left out of the observed challenges.  Besides,  the mobile node platform  lacks an intrinsic  decision algorithm for future services integrations  as well as poor sensitivity or high Bit Error Rates.  These challenges are being experienced via inability to set up calls, call drops, occasional service outages, cross-talks and network congestions among others. Again, the  designers   of  GSM netwoks   have  not   adequately put   into consideration design   goals for   the GSM porting  flexibility.  Consequently, network poor quality of service results as the number of customer’s  increases  and integration of new web application becomes difficult  since  they  are  not  originally  provisioned   for  in  the  design.  This  work  on  the reengineering  of GSM network  for an improved  MNP scheme for GSM subscribers  seeks to

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solve  this  problem.  Hence  this  research,  will  seeks  to  ascertain  the    compliance    index    of selected    GSM    network  operators,  the    factors    responsible  for  network  failure    and    the feasibility  of GSM  network  integration   to  set a new  enhancement  panacea   to   the unending Quality  of service  problem  in Nigeria.  A  new  architecture  that  will  address  KPI  issues  while demonstrating a new integration framework will gain a wide acceptance among the stakeholders, researchers,  and users.

1.3. Aims and objectives of the Work

This  research  is  aimed  at  developing  an  improved  model  using  MNP  scheme  for  GSM subscribers  vis-a-vis their KPis using Fuzzy logic blockset having identified the performance of Mobile Cellular Networks in Nigeria.  Other Specific objectives include:

1.    To carry out empirical analysis on the GSM networks KPis as well as analysing the data collected using drive test approach.

2.    To demonstrate migration algorithm  using the reference architectural JAVA based VSim

MNP suite for GSM network integration.

3.    To  develop  a  prototype  GSM  module  for  MNP  which  demostrates   a  good  BER

perfomance depicting an excellent QoS results

4.    To use fuzzy logic to detect the network with the best KPis

1.4     Justification of the Work

The dynamism of today’s  real time services demands a robust  GSM network that is  efficient, scalable,  cost-effective,  service-oriented,  and responsive to business needs.  This research seeks to achieve a stable QoS considering the proposed fuzzy integration platform for GSM networks. GSM future technologies  and its implementation schemes that meet the above criteria will be widely  celebrated.  Besides,  running  a virtual  SIM with  MNP  suite  as trusted  and protected software on a mobile device will allow for significant expansion of services by introducing new usage scenarios and business  models,  cost reduction  and more flexibility,  while guarantying  a high level of security in its architecture.   This work will consequently serve as an eye opener to all the critical stakeholders  and researchers  in GSM design implementations and deployments while complying with stipulated or regulatory body criteria.

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1.5      Scope of the Work

This work  will cover  initial  investigations  on GSM  KPI compliance  index  using  generic  SIMs with  the  Qvoice  Tool.  In  the  study,  various  schemes  viz:  Customer  Complaints   [9],  Network Statistics  [10]  and Drive Tests  will be reviewed  while using  fuzzy datasets  to monitor  evaluate and analyze  the QoS  in order to arrive at an appropriate  decision  and  status  in this work.  The Drive test will be carried out using QVOICE as a measurement  tool which is a Quality of service measurement  equipment  installed  in  a special  purpose-built   vehicle  to  enable  set up  test  with minimal   vibration   and  shock  while  the  vehicle   is   on  motion.  This  real-time   measurement equipment by Ascom  operates both on GSM 2.5G and 3G networks  and purposely  manufactured for data  acquisition  over  a live network  [11]. It is robust,  portable  transceiver  equipment  with high  speed  scanner  that  can  measure  up  to  8   channels  simultaneously   and  accommodate   4 mobile.  It  has  two  different  components:  (a)  QVM-  data  collection  part  and  (b)  QVP  –  data analysis part. The test site will be Abuja and the KPI metrics includes viz::

(a)  Call Completion  Rate (CCR);Call  Setup Success Rate (CSSR);Call  Drop Rate (CDR); (b) Call Handover  Success Rate (CHSR);’Standalone Dedicated  Control Channel (SDCCH).

Moreover,  in this  work,  the  analysis  & performance   of mobile  networks  in Nigeria  based  on above  mentioned   KPis  using   Drive   Test   in  collecting  the  data  is  presented.   These   KPis performances  will be  merged  together  to  form an overall  QoS  report  of the network.  We will provide  the  analysis  of the  result  obtained  during  the  field  measurement  using  these  KPis  as basic unit  for QoS monitoring.  The QVOICE  equipment  will be used  as a measurement  tool to test the networks  and collect data samples.  In addition,  we will illustrate  the effect  the coverage and  mobility  management  on the  overall  service  performance.  From  above,  a formulation  for MNP   based   on   Mobile   Trusted   Computing   reference   Architecture    is  presented   using   a MATLAB  fuzzy  integration model for the GSM networks,  a reengineered  MSimNPS  suite with a  security   architecture   and    realtime   simulation  testbed   that  scales  efficiently   in  terms   of performance,  cost-economy,  convergence,  stability  and  ease  of integration  for  future  realtime services for end users.

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1.6     Dissertation report organization

This dissertation is divided into six chapters:

Chapter one presents introduction of GSM networks and KPis

Chapter two reviewed the mobile cellular evolutions,  their architectural  generations,  the GSM KPI  as  QoS  metrics,   TCG  reference   architecture,   SMART/SIM   cards,   Mobile  Number Portability and matlab fuzzy logic with ANFIS.

Chapter three presents the  methodology, system analysis, real-time system methodology, QoS evaluation   criteria,   key  performance   indicators,   ASCOM   mobile   test   strategy,   test  bed description and field measurements, data collection method, analysis process framework

Chapter four  presents the MNP modeling using fuzzy network and system implementation

Chapter five presents the results and discussion of the research. While Chapter six presents the conclusion and recommendations.


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AN IMPROVED MODEL FOR KEY PERFORMANCE INDICATORS ANALYSIS FOR MOBILE NUMBER PORTABILITY SCHEME FOR GSM SUBSCRIBERS IN NIGERIA

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