With the unprecedented growth of the communication industry that the world is experiencing, the demand from rural inhabitants for high quality communications at an economically affordable cost is growing. However, rural areas are rather restricted from deploying communication services due to the rough natural environment, and the shortage of rudimentary communication facilities and technical personnel. Appropriate models for building rural wireless networks and a concomitant simulation environment are, therefore, expected to enable the construction of technologically-optimal and economically-efficient networks in specified rural areas.<br /> <br /> The research has set up two independent models, one for the economic need and the other for the technical need of building networks in rural areas. One model was the Impact of Telecommunications Model, which disclosed the importance of building a wireless network in specified rural areas by choosing an economic parameter to forecast the profitability of the network. The other was the Service Model, which collected primitive data from given rural areas and abstracted these data by flowing them through four technical layers to form the predicted technical wireless network. Both of the models had been applied to real-world cases to demonstrate how to use them.<br /> <br /> A simulation environment was finally designed and implemented to realize the above two models for the sake of instantiation. This environment could simulate the specified rural network by constructing a wireless network on the invented areas and evaluating its quality and economic efficiency. It was written in Scilab simulation language, which was an open source.

Thesis (PhD)--University of South Australia, 2008.

Thesis (PhDTelecommunications)--University of South Australia, 2008.

This thesis investigates the ability of dynamic algorithms to adequately share limited satellite channel resources between explicit user demands for bandwidth, anticipated bandwidth demands from users, and signalling traffic transmitted from user terminals. In particular it investigates the design of multiple access control protocols and the way their features affect the performance of higher layer protocols, and the efficiency of using the underlying resources. / Thesis (PhDTelecommunications)--University of South Australia, 2007.

The ever increasing demand for wireless services using mobile cellular communication technology has lead to intensive efforts by researchers to determine the information theoretic limitations of these systems. Toward this end, numerous cellular models have been formulated and analyzed using information theoretic principles to succinctly identify the impact of system constraints and design parameters on performance. One such model that captures the essence of the uplink of a cellular channel is the Gaussian cellular multiple access channel (GCMAC), which is the focus of this dissertation. / Thesis (PhD)--University of South Australia, 2006

The mobility of wireless users has created a number of technological challenges, especially when a Mobile Node (MN) changes the point of attachment to the network. In recent years, a great deal of research effort has been spent on the issue of mobility, and resulted in development of general frameworks as well as specific protocols supporting mobility. These frameworks and protocols are intended to solve the problem of IP routing (i.e. finding an IP path) to the MN. Typically, the access network may also establish and keep service state information (service context) necessary to process and forward packets in a way that suits specific service requirements. Context Transfer has been suggested as an alternative way of restoring the service context at the new access network. / Thesis (PhDTelecommunications)--University of South Australia, 2005.

The ever-increasing demand for higher information-transfer rates in wireless data networks invokes the need to develop more spectrally-efficient communication strategies. Techniques such as MIMO and turbo-coded CDMA are well known and obvious candidates for improving the spectral efficiency of next generation wireless networks, and addressing the limitations of currently implemented technologies. Correspondingly, such methods are finding their way into wireless network standards such as 3GPP and IEEE 802.20. / One measure of the size of a communication system is the number of independent data streams being transmitted simultaneously through a channel, assuming tight constraints on available bandwidth and signal power. Such data streams may originate from different users all wishing to communicate at once. In addition, each user may wish to transmit independent data on more than one antenna simultaneously in order to increase his or her own data rate. Although strategies for such multi-dimensional signalling have seen significant improvements in recent years, most of the techniques proposed in the literature still suffer from either poor performance or prohibitive complexity when the size of the system grows large. / This thesis is concerned primarily with supporting high system spectral-efficiencies in very large systems, while maintaining strong resistance to data errors with manageable complexity. / Iterative decoding, or Bayesian message-passing, is demonstrably able to approach closely the performance of an optical decoder for certain families of single-user error correction codes, with low computational complexity. The topic of this work, iterative list detection, is a technique for jointly decoding many independent data streams from multiple users and/or antennas, using powerful iterative decoding strategies developed for such single-user codes. The receiver strategies presented are based on the premise that iterative Bayesian decoding is capable of achieving performance very close to that of an optimal decoder for a multi-dimensional system, given certain assumptions on the system model. Other than this, iterative list detection makes no assumptions about the statistics of the interfering signals, linearity, or any other simplifying impositions. Rather, the method seeks only to approximate closely the probabilistic quantities dictated by the rules of the iterative decoding paradigm, which is by now well understood. / List detection itself refers to the computationally efficient calculation of signal probabilities conditioned on a noise-and-interference corrupted signal at the receiver, computed for each simultaneously transmitted signal. The calculation is the key step in the implementation of an iterative receiver for such a system. / After introducing the list detection strategy in the context of iterative receivers for multi-user MIMO channels, algorithms for optimal list detection are described. A new optimal list detection algorithm with some superior properties to other implementations in the literature is proposed. While still very computationally complex, performance results for optimal list detection are presented that demonstrate the effectiveness and utility of the paradigm, and provide a performance benchmark for any sub-optimal list detection technique. The performance is also compared with other techniques such as linear filters, providing an appreciation of the benefits of list detection. / An asymptotic large-systems analysis is then undertaken in order to determine the behaviour of a fundamental parameter that determines the complexity of list detection, specifically the number of terms in a certain summation. The minimum number of terms is derived under an accuracy constraint on the signal probabilities. Results demonstrate that the number of terms does not necessarily increase with the size of the system, and the conditions under which this is true are indicated. / The main contribution of the thesis is the development of a number or computationally efficient sub-optimal list detection algorithms. Various strategies are proposed for different system scenarios, resulting in near-optimal performance with complexity that adapts automatically to cope with changing channel conditions and interference. The performance of the new techniques is demonstrated via simulation in channels with various statistics, dimensionality and interference, showing significant improvements in terms of both error resistance and complexity over other proposed methods. / Thesis (PhDTelecommunications)--University of South Australia, 2004.

The Real Time Multi- User Wireless Video Link is being developed with the aim of enhancing the capabilities of soldiers by improving their ability to detect, acquire, locate and engage targets by day or night and in all visibility conditions. The primary objective of this work, undertaken as part of the LAND 125 Soldier Combat System Project, is to improve soldiers capabilities by removing the need for cables between a thermal weapon sight mounted on a weapon and a visual display mounted on a soldier's helmet. It improves their ability by enabling them to more easily travel through difficult terrain and enables them to navigate obstacles more easily. The main aim of this project is to transmit video from a source mounted on top of the soldiers weapon to a helmet mounted display. Once this is achieved then the system can be expanded to enable video to be securely transferred to a remote base, enabling the base station to accurately monitor the situation. It could also be used to review the success of missions and for training purposes. / This system also has many commercial applications for example monitoring in hazardous areas, surveillance, high quality video transmission/storage, law enforcement, fire fighting and tele-medicine. In this thesis the requirements of this system and the detailed design techniques are presented. / Thesis (MEng(ComputerSystemsEng))--University of South Australia, 2004.

Thesis (DBA(DoctorateofBusinessAdministration))--University of South Australia, 2003.

Thesis (MEng)--University of South Australia, 1996