Intelligent signal processing for ubiquitous high-capacity, heterogeneous, scalable wireless networks

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Emerging wireless communication networks are enabling a variety of applications ranging from critical infrastructure protection and security, to environment monitoring, health care and quality of life. Various types of current and emerging wireless network architectures include cellular networks, wireless local area networks, wireless ad hoc networks, wireless personal area networks, and Worldwide Interoperability for Microwave Access (WiMAX) systems. Moreover, future fourth-generation radio access is anticipated to provide data rates up to 100 Mb/s with wide-area coverage and up to 1 Gb/s with local-area coverage that can be achieved by using sophisticated and computationally powerful transceivers. Classical communication theory is based on a competitive framework in which different users and applications compete for resources such as bandwidth and power. However, recent research has demonstrated that cooperative strategies can significantly improve the overall capacity of wireless networks. These strategies exploit the intuitive notion that intermediate nodes can assist data transmission between the source and the destination nodes and facilitate the realization of low-cost virtual multiple-input multiple-output (MIMO) systems. Cooperative networks require the development of appropriate channel and frequency estimation methods, practical coding and decoding techniques, beamforming, and MIMO orthogonal frequency division multiplexing techniques. Our main focus is therefore on the development of intelligent signal processing techniques for cooperative networks. We will utilize recent advances in robust beamforming, modern coding theory, space-time signal processing, and cooperative strategies to significantly improve the throughput, scalability, reliability and performance of cooperative wireless networks. The successful project outcomes will thus enable high capacity, ubiquitous wireless network infrastructures with end-to-end broadband capability. Moreover, these outcomes will also improve the reliability, efficiency, and scalability of these wireless networks.