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Interference mitigation for cognitive radio MIMO systems based on practical precoding
Institution:1. Joint Research Institute for Signal and Image Processing, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, EH14 4AS, United Kingdom;2. School of Information Science and Technology, Xiamen University, Xiamen 361005, China;3. Joint Research Institute for Signal and Image Processing, Institute for Digital Communications, University of Edinburgh,Edinburgh, EH9 3JL, United Kingdom;4. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4, Canada;5. Department of Science and Technology, Guilin University of Electronic Technology, Guilin 541004, China;6. Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;1. Izmir University of Economics, Faculty of Engineering and Computer Science, Balcova, Izmir, Turkey;2. University of Missouri-Columbia, College of Engineering, Columbia, MO, USA
Abstract:In this paper, we propose two subspace-projection-based precoding schemes, namely, full-projection (FP)- and partial-projection (PP)-based precoding, for a cognitive radio multiple-input multiple-output (CR-MIMO) network to mitigate its interference to a primary time-division-duplexing (TDD) system. The proposed precoding schemes are capable of estimating interference channels between CR and primary networks, and incorporating the interference from the primary to the CR system into CR precoding via a novel sensing approach. Then, the CR performance and resulting interference of the proposed precoding schemes are analyzed and evaluated. By fully projecting the CR transmission onto a null space of the interference channels, the FP-based precoding scheme can effectively avoid interfering the primary system with boosted CR throughput. While, the PP-based scheme is able to further improve the CR throughput by partially projecting its transmission onto the null space.
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