Rateless codes for advanced architectures

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Handheld computers, cell phones, and other communication (COM) devices have transformed our lives. Increasingly, subscribers expect high-quality access on an 'anywhere-anytime' basis. New generations of COM systems are expected to support applications such as wireless broadband access and HDTV in addition to minimal services such as voice and data. The spectrum is expensive and limited; yet demand for high-rate high-quality wireless applications is rapidly rising. Increasing signaling efficiency and improving resource allocation methods are key to making fast and reliable information networks a reality on an anytime-anywhere basis. The proposed research in this application lies at the intersection of two very active and promising COM research directions: network coding and rateless coding. The signal design and analysis laboratory (SDAL) at Queen's University has recently made major contributions to these two areas and further research and development projects are underway. The focus of this application is to develop proper analytical tools and also design truly scalable COM networks serving large numbers of demanding users. Using receive adaptivity with the aid of decentralized utilitarian protocols, significant improvements in the QoS, delay, power consumption, and bandwidth usage are expected. This application approaches a solution based on network coding and rateless signaling schemes. Realistic large-scale information networks are to be considered. The following studies are proposed: i) practical network coding schemes and resource allocation protocols, ii) novel rateless codes and decoders for noisy channels, and, iii) rate- and overhead-optimal rateless/network codes for multi-hop networks. This research will keep Canada at the forefront of telecom technology. Industry and household subscribers will enjoy full mobility in access to information and applications at better rates while concurrently consuming less power. This proposal directly involves the training of at least 3 PhD, 3 MASc, and 5 BASc students. Due to the timeliness and significance of the proposed project, the highly-trained students will be a great asset to high-tech industry and academia in Canada.