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在硬件噪声影响下,信标辅助双跳认知无线电无线传感器网络中中继选择方案的性能评估。

Performance Evaluation of Relay Selection Schemes in Beacon-Assisted Dual-Hop Cognitive Radio Wireless Sensor Networks under Impact of Hardware Noises.

机构信息

Department of Radio and Communication Engineering, Chungbuk National University, Cheongju City 362763, Korea.

Posts Department of Telecommunications, Posts and Telecommunications Institute of Technology, Ho Chi Minh City 70000, Vietnam.

出版信息

Sensors (Basel). 2018 Jun 5;18(6):1843. doi: 10.3390/s18061843.

DOI:10.3390/s18061843
PMID:29874885
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6021822/
Abstract

To solve the problem of energy constraints and spectrum scarcity for cognitive radio wireless sensor networks (CR-WSNs), an underlay decode-and-forward relaying scheme is considered, where the energy constrained secondary source and relay nodes are capable of harvesting energy from a multi-antenna power beacon (PB) and using that harvested energy to forward the source information to the destination. Based on the time switching receiver architecture, three relaying protocols, namely, hybrid partial relay selection (H-PRS), conventional opportunistic relay selection (C-ORS), and best opportunistic relay selection (B-ORS) protocols are considered to enhance the end-to-end performance under the joint impact of maximal interference constraint and transceiver hardware impairments. For performance evaluation and comparison, we derive the exact and asymptotic closed-form expressions of outage probability (OP) and throughput (TP) to provide significant insights into the impact of our proposed protocols on the system performance over Rayleigh fading channel. Finally, simulation results validate the theoretical results.

摘要

为了解决认知无线电无线传感器网络(CR-WSNs)中的能量约束和频谱稀缺问题,考虑了一种基于解码转发的中继方案,其中能量受限的次级源和中继节点能够从多天线功率信标(PB)中收集能量,并利用收集到的能量将源信息转发到目的地。基于时分切换接收机架构,考虑了三种中继协议,即混合部分中继选择(H-PRS)、传统机会中继选择(C-ORS)和最佳机会中继选择(B-ORS)协议,以在最大干扰约束和收发器硬件损伤的联合影响下提高端到端性能。为了进行性能评估和比较,我们推导出了中断概率(OP)和吞吐量(TP)的精确和渐近闭式表达式,为我们提出的协议对瑞利衰落信道下系统性能的影响提供了重要的见解。最后,仿真结果验证了理论结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f60d/6021822/7957f64e8329/sensors-18-01843-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f60d/6021822/75fe7968a801/sensors-18-01843-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f60d/6021822/d4686c065160/sensors-18-01843-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f60d/6021822/4ff6a7ea5f85/sensors-18-01843-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f60d/6021822/8f0605764f2b/sensors-18-01843-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f60d/6021822/b71e59f1a42e/sensors-18-01843-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f60d/6021822/8391d4ba6b72/sensors-18-01843-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f60d/6021822/9055757ccc78/sensors-18-01843-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f60d/6021822/7957f64e8329/sensors-18-01843-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f60d/6021822/75fe7968a801/sensors-18-01843-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f60d/6021822/d4686c065160/sensors-18-01843-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f60d/6021822/4ff6a7ea5f85/sensors-18-01843-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f60d/6021822/8f0605764f2b/sensors-18-01843-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f60d/6021822/b71e59f1a42e/sensors-18-01843-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f60d/6021822/8391d4ba6b72/sensors-18-01843-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f60d/6021822/9055757ccc78/sensors-18-01843-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f60d/6021822/7957f64e8329/sensors-18-01843-g008.jpg

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