The Optimal MMSE Transceiver Design for IoT-oriented Cognitive Radio Systems
Publish Year: 1398
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_JACET-5-3_003
تاریخ نمایه سازی: 20 آذر 1398
Abstract:
This paper studies interference alignment scheme and minimum mean square error (MMSE) improvement in Internet of Things (IoT)-oriented cognitive systems, where IoT devices share the licensed spectrum by cognitive radio in spectrum underlay. Target to manage the inter-tier interference caused by cognitive spectrum sharing as well as ensure an MMSE at receivers, the interference alignment algorithms is proposed. In particular, we focus on the problem of designing the optimal linear pre-coding to minimize the total mean square error while satisfying transmit power constraints. Firstly, we introduce a system model of the downlink IoT-oriented cognitive multi-input multi-output (MIMO) system. Secondly, we propose an interference nulling based cognitive interference alignment scheme, and then, the pre-coding and post-coding matrix designs for the primary transceivers to minimum mean square error (MSE), as well as to eliminate the co-channel interference to the primary receivers. We also apply these interference alignment scheme and matrix designs for the secondary links. Finally, the numerical results are used to evaluate performance of the proposed algorithm.
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Authors
Nguyen-Duy-Nhat Vien
The University of Danang, University of Science and Technology, Vietnam
Tri Ngo Minh
Department of Electronics and Telecommunications Engineering, University of Science and Technology - The University of Danang , Vietnam
Thanh Vu Van
Department of Electronics and Telecommunications Engineering, University of Science and Technology - The University of Danang , Vietnam
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