The rapid growth of wireless subscribers and services as well as the increased use of internet services, suggest that wireless internet access will increase rapidly over the next few years. This will require the provision of high data rate wireless communication services. However the problem of a limited and expensive radio spectrum coupled with the problem of the wireless fading channel makes it difficult to provide these services. For these reasons, the research area of high data rate, bandwidth efficient and reliable wireless communications is currently receiving much attention. Concatenated codes are a class of forward error correction codes which consist of two or more constituent codes. These codes achieve reliable communications very close to the Shannon limit provided that sufficient diversity, such as temporal or spatial diversity, is available. Space-time trellis codes (STTCs) merge channel coding and transmit antenna diversity to improve system capacity and performance. The main focus of this dissertation is on STTCs and concatenated STTCs in quasi-static and rapid Rayleigh fading channels. Analytical bounds are useful in determining the behaviour of a code at high SNRs where it becomes difficult to generate simulation results. A novel method is proposed to analyse the performance of STTCs and the accuracy of this analysis is compared to simulation results where it is shown to closely approximate system performance. The field of concatenated STTCs has already received much attention and has shown improved performance over conventional STTCs. It was recently shown that double concatenated convolutional codes in AWGN channels outperform simple concatenated codes. Motivated by this, two double concatenated STTC structures are proposed and their performance is compared to that of a simple concatenated STTCs. It is shown that double concatenated STTCs outperform simple concatenated STTCs in rapid Rayleigh fading channels. An analytical model for this system in rapid fading is developed which combines the proposed analytical method for STTCs with existing analytical techniques for concatenated convolutional codes. The final part of this dissertation considers a direct-sequencejslow-frequency-hopped (DSj SFH) code division multiple access (CDMA) system with turbo coding and multiple transmit antennas. The system model is modified to include a more realistic, time correlated Rayleigh fading channel and the use of side information is incorporated to improve the performance of the turbo decoder. Simulation results are presented for this system and it is shown that the use of transmit antenna diversity and side information can be used to improve system performance. / Thesis (M.Sc.Eng.)-University of Natal, Durban, 2002.

The Transmission Control Protocol (TCP) is the most widely used transport protocol in the Internet. TCP is a reliable transport protocol that is tuned to perform well in wired networks where packet losses are mainly due to congestion. Wireless channels are characterized by losses due to transmission errors and handoffs. TCP interprets these losses as congestion and invokes congestion control mechanisms resulting in degradation of performance. TCP is usually layered over the Internet protocol (lP) at the network layer. JP is not reliable and does not provide for any Quality of Service (QoS). The Internet Engineering Task Force (IETF) has provided two techniques for providing QoS in the Internet. These include Integrated Services (lntServ) and Differentiated Services (DiffServ). IntServ provides flow based quality of service and thus it is not scalable on connections with large flows. DiffServ has grown in popularity since it is scalable. A packet in a DiffServ domain is classified into a class of service according to its contract profile and treated differently by its class. To provide end-to-end QoS there is a strong interaction between the transport protocol and the network protocol. In this dissertation we consider the performance of the TCP over a wireless channel. We study whether the current TCP protocols can deliver the desired quality of service faced with the challenges they have on wireless channel. The dissertation discusses the methods of providing for QoS in the Internet. We derive an analytical model for TCP protocol. It is extended to cater for the wireless channel and then further differentiated services. The model is shown to be accurate when compared to simulation. We then conclude by deducing to what degree you can provide the desired QoS with TCP on a wireless channel. / Thesis (M.Sc.Eng.)-University of Natal, Durban, 2001.

The objective of this dissertation is to investigate both the theoretical and practical aspects of redundancy elimination methods in data networks. Redundancy elimination provides a powerful technique to improve the efficiency of network links in the face of redundant data. In this work, the concept of network compression is introduced to address the redundancy elimination problem. Network compression aspires to exploit the statistical correlation in data to better suppress redundancy. In a nutshell, network compression enables memorization of data packets in some nodes in the network. These nodes can learn the statistics of the information source generating the packets which can then be used toward reducing the length of codewords describing the packets emitted by the source. Memory elements facilitate the compression of individual packets using the side-information obtained from memorized data which is called ``memory-assisted compression''. Network compression improves upon de-duplication methods that only remove duplicate strings from flows. The first part of the work includes the design and analysis of practical algorithms for memory-assisted compression. These algorithms are designed based on the theoretical foundation proposed in our group by Beirami et al. The performance of these algorithms are compared to the existing compression techniques when the algorithms are tested on the real Internet traffic traces. Then, novel clustering techniques are proposed which can identify various information sources and apply the compression accordingly. This approach results in superior performance for memory-assisted compression when the input data comprises sequences generated by various and unrelated information sources. In the second part of the work the application of memory-assisted compression in wired networks is investigated. In particular, networks with random and power-law graphs are studied. Memory-assisted compression is applied in these graphs and the routing problem for compressed flows is addressed. Furthermore, the network-wide gain of the memorization is defined and its scaling behavior versus the number of memory nodes is characterized. In particular, through our analysis on these graphs, we show that non-vanishing network-wide gain of memorization is obtained even when the number of memory units is a tiny fraction of the total number of nodes in the network. In the third part of the work the application of memory-assisted compression in wireless networks is studied. For wireless networks, a novel network compression approach via memory-enabled helpers is proposed. Helpers provide side-information that is obtained via overhearing. The performance of network compression in wireless networks is characterized and the following benefits are demonstrated: offloading the wireless gateway, increasing the maximum number of mobile nodes served by the gateway, reducing the average packet delay, and improving the overall throughput in the network. Furthermore, the effect of wireless channel loss on the performance of the network compression scheme is studied. Finally, the performance of memory-assisted compression working in tandem with de-duplication is investigated and simulation results on real data traces from wireless users are provided.

With the growing trend of wireless electronics, frequency spectrum is crowded with different applications. High data transfer rate solutions that operate in license-exempt frequency spectrum range are sought. The most promising candidate is the 60 GHz multi-giga bit transfer rate millimeter wave circuit. In order to provide a cost-effective solution, circuits designed in CMOS are implemented in a single SOC. In this work, a modeling technique created in Cadence shows an error of less than 3dB in magnitude and 5 degree in phase for a single transistor. Additionally, less than 3dB error of power performance for the PA is also verified. At the same time, layout strategies required for millimeter wave front-end circuits are investigated. All of these combined techniques help the design converge to one simulation platform for system level simulation. Another aspect enabling the design as a single SOC lies in integration. In order to integrate digital and analog circuits together, necessary peripheral circuits must be designed. An on-chip voltage regulator, which steps down the analog power supply voltage and is compatible with digital circuits, has been designed and has demonstrated an efficiency of 65 percent with the specific area constraint. The overall output voltage ripple generated is about 2 percent. With the necessary power supply voltage, gate voltage bias circuit designs have been illustrated. They provide feasible solutions in terms of area and power consumption. Temperature and power supply sensitivities are minimized in first two designs. Process variation is further compensated in the third design. The third design demonstrates a powerful solution that each aspect of variations is well within 10%. As the DC conditions are achieved on-chip for both the digital and analog circuits, digital and analog circuits must be connected together with a DAC. A high speed DAC is designed with special layout techniques. It is verified that the DAC can operate at a speed higher than 3 Gbps from the pulse-shaping FIR filter measurement result. With all of these integrated elements and modeling techniques, a high data transfer rate CMOS RF SOC operating at 60 GHz is possible.

Telepathology is defined as the practice of pathology at a distance using video imaging and telecommunications. In this thesis we address the two main technology challenges in implementing telepathology, viz. compression and transmission of digital pathology images. One of the barriers to telepathology is the availability and the affordability of high bandwidth communication resources. High bandwidth links are required because of the large size of the uncompressed digital pathology images. For efficient utilization of available bandwidth, these images need to be compressed. However aggressive image compression may introduce objectionable artifacts and result in an inaccurate diagnosis. This discussion helps us to identify two main design challenges in implementing telepathology, 1. Compression: There is a need to develop or select an appropriate image compression algorithm and an image quality criterion to ensure maximum possible image compression, while ensuring that diagnostic accuracy is not compromised. 2. Transmission: There is a need to develop or select a smart image transmission scheme which can facilitate the transmission of the compressed image to the remote pathologist without violating the specified bandwidth and delay constraints. We addressed the image compression problem by conducting subjective tests to determine the maximum compression that can be tolerated before the pathology images lose their diagnostic value. We concluded that the diagnostically lossless compression ratio is at least around 5 to 10 times higher than the mathematically lossless compression ratio, which is only about 2:1. We also set up subjective tests to compare the performance of the JPEG and the JPEG 2000 compression algorithms which are commonly used for compression of medical images. We concluded that JPEG 2000 outperforms JPEG at lower bitrates (bits/pixel), but both the algorithms perform equally well at higher bitrates. We also addressed the issue of image transmission for telepathology by proposing a two-stage transmission scheme, where coarse image information compressed at diagnostically lossless level is sent to the clients at the first stage, and the Region of Interest is transmitted at mathematically lossless compression levels at the second stage, thereby reducing the total image transmission delay.

Ethernet está empezando a pasar de las redes de área local a una red de transporte. Sin embargo, como los requisitos de las redes de transporte son más exigentes, la tecnología necesita ser mejorada. Esquemas diseñados para mejorar Ethernet para que cumpla con las necesidades de transporte se pueden categorizar en dos clases. La primera clase mejora solo los componentes de control de Ethernet (Tecnologías basadas en STP), y la segunda clase mejora tanto componentes de control como de encaminamiento de Ethernet (tecnologías basadas en etiquetas). Esta tesis analiza y compara el uso de espacio en las etiquetas de las tecnologias basadas en ellas para garantizar su escalabilidad. La aplicabilidad de las técnicas existentes y los estudios que se pueden utilizar para superar o reducir los problemas de escalabilidad de la etiqueta son evaluados. Además, esta tesis propone un ILP para calcular el óptimo rendimiento de las technologias basadas en STP y las compara con las basadas en etiquetas para ser capaz de determinar, dada una específica situacion, que technologia utilizar. / Ethernet is starting to move from Local area networks to carrier networks. Nevertheless as the requirements of carrier networks are more demanding, the technology needs to be enhanced. Schemes designed for improving Ethernet to match carrier requirements can be categorized in two classes. The first class improves Ethernet control components only (STP based technologies), and the second class improves both Ethernet control and forwarding components (label based forwarding technologies). This thesis analyzes and compares label space usage for the label based forwarding technologies to ensure their scalability. The applicability of existing techniques and studies that can be used to overcome or reduce label scalability issues is evaluated. Additionally this thesis proposes an ILP to calculate optimal performance of STP based approaches and compares them with label based forwarding technologies to be able to determine, given a specific scenario, which approach to use.

This thesis draws on techniques from Management Science and Artificial Intelligence to explore organisational aspects of asset management in electricity transmission enterprises. In this research, factors that influence policies and practices of asset management within electricity transmission enterprises have been identified, in order to examine their interaction and how they impact the policies, practices and performance of transmission businesses. It has been found that, while there is extensive literature on the economics of transmission regulation and pricing, there is little published research linking the engineering and financial aspects of transmission asset management at a management policy level. To remedy this situation, this investigation has drawn on a wide range of literature, together with expert interviews and personal knowledge of the electricity industry, to construct a conceptual model of asset management with broad applicability across transmission enterprises in different parts of the world. A concise representation of the model has been formulated using a Causal Loop Diagram (CLD). To investigate the interactions between factors of influence it is necessary to implement the model and validate it against known outcomes. However, because of the nature of the data (a mix of numeric and non-numeric data, imprecise, incomplete and often approximate) and complexity and imprecision in the definition of relationships between elements, this problem is intractable to modelling by traditional engineering methodologies. The solution has been to utilise techniques from other disciplines. Two implementations have been explored: a multi-level fuzzy rule-based model and a system dynamics model; they offer different but complementary insights into transmission asset management. Each model shows potential for use by transmission businesses for strategic-level decision support. The research demonstrates the key impact of routine maintenance effectiveness on the condition and performance of transmission system assets. However, performance of the transmission network, is not only related to equipment performance, but is a function of system design and operational aspects, such as loading and load factor. Type and supportiveness of regulation, together with the objectives and corporate culture of the transmission organisation also play roles in promoting various strategies for asset management. The cumulative effect of all these drivers is to produce differences in asset management policies and practices, discernable between individual companies and at a regional level, where similar conditions have applied historically and today.

Thesis (M.Eng.Sc.)--University of Adelaide, Dept. of Electrical and Electronic Engineering, 2001. / Bibliography: leaves 128-135.

Thesis (M.ICT.)--University of Wollongong, 2006. / Typescript. Includes bibliographical references: leaf 112-121.

Thesis (M.Sc. (Computer Science)) - Rhodes University, 2008