The Impact Of Voice Over Internet Protocol (Voip) In Mobile Telecommunications

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The Impact of Voice over Internet Protocol (VoIP) in Mobile Telecommunications

Acknowledgement

I would take this opportunity to thank my study supervisor, family and friends for their support and guidance without which this research would not have been possible.

DECLARATION

I [type your full first names and last name here], declare that the contents of this dissertation/thesis comprise my own unaided work, and that the dissertation/thesis has not previously been submitted for learned written test towards any qualification. Furthermore, it represents my own opinions and not inevitably those of the University.

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Abstract

New and suggested connection systems are solely digital, including Voice over Internet Protocol jobs as well as traditional facts and figures packets, fax, etc. Numerous digital pointer processing (DSP) algorithms are available to encode and decode these pointers, each having distinct obligations for data recollection, program recollection, and processor speed. ADSP multiprocessor having many DSP centers obtains a stream of demands for encoding and decoding tasks. A service demand is “blocked” if no DSP centre can handle the task when it arrives. We present algorithms for assigning DSP jobs to centers in alignment to minimize the number of impeded tasks. This is similar to an online bin-packing problem with the significant difference that the program memory can be distributed between simultaneous service requests for the same DSP algorithm. Since bin-packing is renowned to be NP-complete, we evolve fast heuristic online methods for this problem.

Table of Contents

Chapter 1: Introductionvii

Aim of the Paperix

DSP algorithms and processorsx

Existing algorithms for assigning service demands to coresxi

Bin-packing algorithmsxii

Chapter 2: Literature Reviewxvii

New algorithms for assigning service requests to coresxvii

First-fit algorithmsxx

Best-fit algorithmsxxi

Worst-fit algorithmsxxi

Modified harmonic algorithmxxii

Preprocessingxxiii

Processing incoming service requestsxxv

Terminating service instancesxxv

Modified online-matching algorithmxxv

Chapter 4: Methodologyxxviii

Traffic modelsxxviii

Multiprocessor modelxxx

Baseline comparatorxxx

Implementation detailsxxxi

Chapter 4: Resultsxxxii

Empirical resultsxxxii

Current mixed traffic (TScurrent_all)xxxii

Future mixed traffic (TSfuture_all)xxxiii

Current low bit rate traffic (TScurrent_lowbitrate)xxxiv

Future low bit rate traffic (TSfuture_lowbitrate)xxxiv

Composite algorithmsxxxv

Chapter 5: Discussionxxxviii

PSTN and wireless mesh providersxxxviii

Corporate usexxxviii

Quality of servicexl

Emergency callsxlvi

Number portabilityxlviii

Securityl

Chapter 6: Conclusionlviii

Referenceslx

Chapter 1: Introduction

Voice over Internet Protocol (VoIP) schemes are now apprehending an important share of the telecommunications market from customary circuit-switched networks. VoIP permits service providers to integrate voice, facts and figures, and other multimedia traffic on a lone digital mesh, proposing promise flexibility and cost savings. Several VoIP schemes are currently being presented for both the enterprise and carrier levels.

In VoIP talk is sampled, digitized, compressed, packetized, and transmitted over a digital mesh as digital IP packets. This processing is conveyed out on a “gateway” computer, which is a multiprocessor computer having numerous focused digital pointer processing (DSP) processors that alter the voice/fax pointers from the originator for transmission over the mesh, and obtain packets from the network and alter them to a suitable pattern for transmission to the destination.

Several compression methods are used at the entrance appliances in alignment to decrease the size of the packets and therefore increase the message-carrying capability of the mesh (i.e. increase the number of simultaneous calls conveyed on a given connection). A number of compression measures have been evolved in recent years such as the ITU-T ...
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