基于能量频谱感知的MIMO-NOMA认知无线电频谱效率研究

2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2019-08-01 DOI:10.1109/DISCOVER47552.2019.9007920

Tamanna Yasrab, Sanjeev Gurugopinath

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引用次数: 8

摘要

研究了多输入多输出(MIMO)驱动的基于非正交多址(NOMA)的认知无线电(CR)网络的频谱效率。我们首先研究了采用盲组合能量检测(BCED)方案的MIMO-CR网络的频谱感知性能。我们利用BCED技术推导了具有不完全频谱感知的MIMO-NOMA CR网络中平均可实现吞吐量的表达式。通过蒙特卡罗模拟和数值技术，我们证明了与基于mimo的正交多址(MIMO-OMA) CR网络相比，MIMO-NOMA在CR网络中获得的频谱效率更好。

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Spectral Efficiency of MIMO-NOMA Cognitive Radios with Energy-Based Spectrum Sensing

We investigate the spectral efficiency of the multiple-input, multiple-output (MIMO)-driven non-orthogonal multiple access (NOMA)-based cognitive radio (CR) networks. We first investigate the spectrum sensing performance of a MIMO-CR network by employing the blindly combined energy detection (BCED) scheme. We derive expressions for the average achievable throughput in MIMO-NOMA CR networks with imperfect spectrum sensing using the BCED technique. Through Monte Carlo simulations and numerical techniques, we show the the spectral efficiency achieved due to MIMO-NOMA in CR networks is better as compared to the MIMO-based orthogonal multiple access (MIMO-OMA) CR networks.

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来源期刊

2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)

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