International Journal of Circuits, Systems and Signal Processing

   
E-ISSN: 1998-4464
Volume 15, 2021

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of NAUN Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

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Volume 15, 2021


Title of the Paper: Interference Suppression and Resource Allocation Strategies Based on IoT Monitoring

 

Authors: Bin Wu, Bingxin Yao, Yin Yang, Chaoran Zhou, Ning Zhu

Pages: 1005-1014 

DOI: 10.46300/9106.2021.15.108     XML

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Abstract: The present application scenarios of the Internet of Things (IoT) often require the equipment to be adaptable, the resource allocation to be efficient, and the signal monitoring and transmission to be effective. However, the existing algorithms cannot solve the problem of system capacity reduction caused by the mutual interference between regions in data rates. Aiming at effectively improving the performance of the IoT monitoring system and ensuring the fairness of each monitoring terminal, this paper attempts to explore interference suppression and resource allocation strategies based on IoT monitoring. First, the paper established an IoT monitoring network model, and elaborated on interference suppression strategies for inter-layer interferences of “Macro Base Station (BS) – Micro Cells” and “Micro BS – Macro Cells” and for intra-layer interference that include the interference between local monitoring networks and interference between terminals in local area networks; then, the paper proposed a sub-carrier resource allocation scheme for IoT monitoring system with multiple inputs and outputs and a water-filling strategy of system channel power; at last, experimental results verified the effectiveness of the proposed interference suppression and resource allocation algorithm.