The grand objective of the research project DEWICOS: Design of Next Generation Very High Data Rate Wireless Communications Systems is to exploit a novel framework based on the interplay between information theory and estimation theory to lay the foundations for the design of next generation very high data rate wireless communications systems. In the last decade wireless communications have experienced an explosive growth with the demand for higher data rates to accommodate new services growing rapidly ever since. A number of wireless systems have been gradually introduced including novel mobile and fixed wireless systems, e.g., 2nd and 3rd generation mobile systems as well as WiFi (IEEE 802.11) and WiMax (IEEE 802.16). This wireless communications revolution is being fuelled by constant technological breakthroughs to enhance transmission performance in the wireless setting. For example, major advances that dominated research efforts in the past decade concerned the development of multiple antenna transmission schemes, as well as the development of powerful error correcting coding schemes, such as turbo codes and low-density parity-check (LDPC) codes. In fact, these powerful techniques are now gradually being incorporated into wireless communications standards and commercial products. Notwithstanding, the optimization of the reliable information transmission rate – the Holy Grail in communications – is still an open issue at large of paramount importance in communications systems research and practice, offering the prospect of communication at ever increasing information rates. The major difficulty relates to the absence of appropriate mathematical tools and methodologies due to the presence of complex features in communications systems, thereby motivating system designers often to resort to other criteria, engineering experience, and insight to optimize the system. Building upon foundational work on the interplay between information theory and estimation theory, this project proposes a different paradigm to the analysis, design and optimization of wireless communications systems: We will capitalize on the relation between mutual information, which measures the reliable information transmission rate between the input and the output of a system, and the non-linear minimum mean-squared error (MMSE), which measures the minimum mean-squared error in estimating the input given the output, to overcome in an innovative way the inherent difficulties concerning the optimization of the reliable information transmission rate of key communications systems. The research project is divided into three complementary tasks, which culminate with the application of the ideas to relevant communications scenarios and applications. The first task leverages the intersections between information theory and estimation theory in order to establish insight into the optimal structure of standard elements of communications systems. The focus will be on establishing concrete design guidelines for optimal transmit filters, optimal receive filters as well as resource allocation procedures in relevant communications scenarios, ranging from deterministic to wireless fading channels and single- to multi-user channels. The objective of the second task will be to develop practical algorithms, with a good tradeoff between issues such as accuracy, efficiency, complexity and convergence, in order to perform optimal filtering and resource allocation in communications systems. In addition, taking into account that the reliable information transmission rate is only achievable with powerful error correcting codes, this task will also investigate the integration of the optimal designs with powerful error correction codes, such as turbo codes or LDPC codes. The objective of the third task will be to evaluate the impact of the optimal designs – in combination with powerful error correcting codes – on the reliable information transmission rate of practical communications scenarios and standards such as WiFi, WiMax and LTE wireless networks, as well as digital subscriber (DSL) lines. Overall, the research team, consisting of key research groups from the reputable Instituto de Telecomunicações, gathers considerable expertise in a wide range of complementary topics such as information theory, estimation and detection theory and communications systems and networks, all of which are necessary to meet both the theoretical and practical challenges of this research. High-level publishable (and possibly patentable) results are expectable.
|Start Date: 01-01-2010|
|End Date: 01-12-2012|
|Team: Miguel Raul Dias Rodrigues|
|Groups: Information Theory – Po|
|Local Coordinator: Miguel Raul Dias Rodrigues|
|Links: Internal Page|