循环平稳CS MIMO-OFDM中认知无线电的性能评价

2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST) Pub Date : 2022-06-08 DOI:10.1109/mocast54814.2022.9837492

Rania Mahmoud, W. Ali, Nour Ismail

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引用次数: 1

摘要

在认知无线电网络中，研究了能量和循环平稳频谱检测在Rayleigh、Nakagami、ric和加性高斯白噪声(AWGN)信道环境下的频谱感知性能。在MIMO-OFDM认知无线电(CR)系统中，CR设备使用循环平稳检测压缩感知连续感知信道以检查其是否空闲，并在给定的CR接收器从其发射机可用通信时重构信号。此外，协同频谱感知改善了多径和阴影导致的性能下降。

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Performance Evaluation of Cognitive Radio in Cyclo-stationary CS MIMO-OFDM

In this paper, the performance of Energy and Cyclo-stationary spectrum detection in Rayleigh, Nakagami, Rician, and additive white gaussian noise (AWGN) channel environments is investigated for spectrum sensing in cognitive radio networks. MIMO-OFDM cognitive radio (CR) system is used where CR devices continuously sense the channel to check whether it is idle or not using compressed sensing with cyclo-stationary detection, and reconstruct the signal if communication is available for the given CR receiver from its transmitter. Moreover, collaborative spectrum sensing improves performance degradation caused by multipath and shadowing.

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2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)

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