一种节能随机认知无线网络框架

2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2017-12-01 DOI:10.1109/R10-HTC.2017.8288959

S. R. Sabuj, Sakila Alam, M. Muhaimin

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引用次数: 1

摘要

本文研究了基于随机几何的随机认知无线网络。我们推导了考虑干扰和噪声的中断概率。根据新导出的停电概率表达式，确定了一次和二次电网的能效表达式。分析表明，低密度的主发射机和次发射机的停电概率和能量效率较好。最后，我们找到了能源效率最大化的最优阈值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A framework of energy-efficient random cognitive radio network

This paper investigates the random cognitive radio network based on stochastic geometry. We derive the outage probability considering interference and noise. Based on the newly derived outage probability expression, we determine the energy efficiency expressions of primary and secondary network. Our analysis shows that the outage probability and energy efficiency are better for low density of primary and secondary transmitters. Finally, we find the optimal threshold where the energy efficiency is maximized.

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来源期刊

2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)

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