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Enhanced Sensing and Sum-Rate Analysis in a Cognitive Radio-Based Internet of Things.基于认知无线电的物联网中的增强感知和和和速率分析。
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A Cooperative Phase-Steering Technique with On-Off Power Control for Spectrum Sharing-Based Wireless Sensor Networks.一种用于基于频谱共享的无线传感器网络的带开关功率控制的协作相位控制技术。
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Cognitive Interference Cancellation with Digital Channelizer for Satellite Communication.卫星通信中数字信道化器的认知干扰消除。
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Resource Allocation in Cognitive Radio Wireless Sensor Networks with Energy Harvesting.能量收集的认知无线电无线传感器网络中的资源分配。
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物联网和无线传感器网络中的认知无线电网络。

Cognitive Radio Networks for Internet of Things and Wireless Sensor Networks.

机构信息

Department of Electronics and Information Engineering, Korea University, Sejong 30019, Korea.

Department of Information and Communication Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsangbuk-do, Gyeongsan-si 38541, Korea.

出版信息

Sensors (Basel). 2020 Sep 16;20(18):5288. doi: 10.3390/s20185288.

DOI:10.3390/s20185288
PMID:32947832
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7571049/
Abstract

Recent innovation, growth, and deployment of internet of things (IoT) networks are changing the daily life of people. 5G networks are widely deployed around the world, and they are important for continuous growth of IoT. The next generation cellular networks and wireless sensor networks (WSN) make the road to the target of the next generation IoT networks. The challenges of the next generation IoT networks remain in reducing the overall network latency and increasing throughput without sacrificing reliability. One feasible alternative is coexistence of networks operating on different frequencies. However, data bandwidth support and spectrum availability are the major challenges. Therefore, cognitive radio networks (CRN) are the best available technology to cater to all these challenges for the co-existence of IoT, WSN, 5G, and beyond-5G networks.

摘要

近年来,物联网 (IoT) 网络的创新、增长和部署正在改变人们的日常生活。5G 网络在全球范围内广泛部署,对于物联网的持续增长至关重要。下一代蜂窝网络和无线传感器网络 (WSN) 为下一代物联网网络的目标铺平了道路。下一代物联网网络的挑战仍然在于在不牺牲可靠性的情况下降低整体网络延迟并提高吞吐量。一种可行的替代方案是在不同频率上运行的网络共存。然而,数据带宽支持和频谱可用性是主要挑战。因此,认知无线电网络 (CRN) 是应对所有这些挑战的最佳可用技术,可满足物联网、WSN、5G 及 5G 之后网络共存的需求。