Network performance (Telecommunication)

A novel personnel authentication and verification system for devices
communicating through Bluetooth protocol has been proposed in this thesis.
Unlike existing verification systems which provide password or a PIN as a key,
the system uses biometrics features as a key. In the implementation of the scheme,
ridges and bifurcation based parameters are derived to generate a 128 bit
Bluetooth pairing PIN. In this thesis a unique translational and rotational invariant
feature set has been developed. These extracted feature data, unlike traditional
systems which include the extracted data into payload, is used for device
connection by generating the 128 bit PIN. The system performance is analyzed
using the pairing PIN for inter-sample and intra-sample recognition. To validate
the stability of the system the performance is analyzed with external samples
which are not a part of the internal database.

The research addressed and deliberated in this thesis refers to CMOS VLSI design approach of a Bluetooth™ receiver front-end. The performance outcome o f the design is verified with ADS™ RF simulation tool. Essentially the thesis offers an outline on the Bluetooth™ technology and its RF front-end component requirements. The relevant specifications of the
designed front-end blocks are identified and are in concurrence with CMOS technology based
topologies. For each block identified, both circuit parameters and device characteristics are chosen as
per available design formulations and empirical results in open literature. Specifically,
the topology sections designed include antenna input matching, transmit/receive switch,
necessary filters, low noise amplifier, mixer and phase lock loop units. The numerical
TM, (designed) circuit parameters are duly addressed in appropriate ADS simulation tools
and performance evaluations are conducted. Observed results including any deviations
are identified and reported. The thesis concludes with a summary and indicates direction
for future work.

The Transmission Control Protocol (TCP) is one of the core protocols of the Internet protocol suite. In the wired network, TCP performs remarkably well due to its scalability and distributed end-to-end congestion control algorithms. However, many studies have shown that the unmodified standard TCP performs poorly in networks with large bandwidth-delay products and/or lossy wireless links. In this thesis, we analyze the problems TCP exhibits in the wireless communication and develop TCP congestion control algorithm for mobile applications. We show that the optimal TCP congestion control and link scheduling scheme amounts to window-control oriented implicit primaldual solvers for underlying network utility maximization. Based on this idea, we used a scalable congestion control algorithm called QUeueIng-Control (QUIC) TCP where it utilizes queueing-delay based MaxWeight-type scheduler for wireless links developed in [34]. Simulation and test results are provided to evaluate the proposed schemes in practical networks.

This research is concerned with the technoeconomic aspects of modern and next-generation telecommunications including the Internet service. The goal of this study thereof is tailored to address the following: (i) Reviewing the technoeconomic considerations prevailing in telecommunication (telco) systems and their implicating futures; (ii) studying relevant considerations by depicting the modern/next-generation telecommunications as a digital ecosystem viewed in terms of underlying complex system evolution (akin to biological systems); (iii) pursuant to the digital ecosystem concept, co-evolution modeling of competitive business structures in the technoeconomics of telco services using dichotomous (flip-flop) states as seen in prey-predator evolution; (iv) specific to Internet pricing economics, deducing the profile of consumer surplus versus pricing model under DiffServ QoS architecture pertinent to dynamic- , smart- and static-markets; (v) developing and exemplifying decision-making pursuits in telco business under non-competitive and competitive markets (via gametheoretic approach); (vi) and modeling forecasting issues in telco services addressed in terms of a simplified ARIMA-based time-series approach, (which includes seasonal and non-seasonal data plus goodness-fit estimations in time- and frequency-domains). Commensurate with the topics indicated above, necessary analytical derivations/models are proposed and computational exercises are performed (with MatLabTM R2006b and other software as needed). Extensive data gathered from open literature are used thereof and, ad hoc model verifications are performed. Lastly, results are discussed, inferences are made and open-questions for further research are identified.