CIF: Small: Optimized Receiver Design Integration for Diversity and Cooperative Transmissions Beyond Belief Propagation

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This work develops a novel receiver methodology to integrate signal detection and forwarderror correction in multiple-input-multiple-output (MIMO) communications and various diversitytransmissions. Moving beyond traditional approaches relying on belief-propagation, thisinvestigation into the rather classic open problem of integrated signal detection and decodinginvolves novel joint optimization formulations that incorporate binary field parity constraintsimposed by the low-density parity check within maximum likelihood detection frameworks forunified optimization. This novel framework is general and encompasses a number of practicaltransmission models, including distributed antennas, opportunistic cooperative networking,and signal retransmission as well as their integrations. This project has broad impacts onengineering, education, and society. Its success can lead to new research directions, newtools, and results to help advance other science and engineering fields.Focusing on multicarrier MIMO signal reception, the investigators will develop and optimizeintegrated receivers for important wireless network diversities including distributedtransmissions, cooperative MIMO, and hybrid-ARQ retransmission systems. The new designmethodology emphasizes integration of multiple constraints from incompatible fields. Byreformulating and relaxing joint detection and decoding problems into convex optimization, theinvestigators will design high performance receivers that are efficient and are robust to variousforms of uncertainties in channel state information. Such a novel approach to receiver designintegration represents a fundamental and practical design paradigm that can fully utilizevarious a priori signaling and code constraints for joint detection and decoding against channeldistortions and other non-idealities to achieve high performance, efficiency, and reliability. Theresearch findings can contribute practically to improvement of future wireless services andbroaden their applications in many practical fields where quality, efficiency, and distributivityconcerns are paramount.