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arXiv 1402.4100cs.NIcs.ITmath.IT
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广义面积频谱效率:一种有效的绿色无线通信性能指标

Generalized Area Spectral Efficiency: An Effective Performance Metric for Green Wireless Communications

Lei Zhang, Hong-Chuan Yang, Mazen O. Hasna

摘要:

面积频谱效率(ASE)被引入作为量化蜂窝系统频谱利用效率的度量。与其他性能指标不同,ASE考虑了蜂窝系统的空间特性。在本文中,我们推广ASE的概念来研究任意的无线传输。具体来说,我们引入了受影响区域的概念来表征任意无线传输的空间属性。在定义受影响区域的基础上,定义了广义区域频谱效率(GASE)这一性能指标,用以量化空间频谱利用效率和无线传输的绿色性。在给出点对点传输的GASE性能评估后,分析了GASE在双跳中继传输、三节点协作中继传输和认知无线电传输等不同传输场景下的性能。我们推导出封闭形式的表达式,在瑞利衰落环境下的每个传输场景的GASE度量。通过数学分析和数值例子,我们表明,GASE度量提供了一个新的角度设计和优化的无线传输,特别是在发射功率的选择。我们还表明,引入中继节点可以大大提高无线系统的空间利用效率。我们说明,GASE度量可以帮助优化部署的认知无线电系统。

英文摘要:

Area spectral efficiency (ASE) was introduced as a metric to quantify the spectral utilization efficiency of cellular systems. Unlike other performance metrics, ASE takes into account the spatial property of cellular systems. In this paper, we generalize the concept of ASE to study arbitrary wireless transmissions. Specifically, we introduce the notion of affected area to characterize the spatial property of arbitrary wireless transmissions. Based on the definition of affected area, we define the performance metric, generalized area spectral efficiency (GASE), to quantify the spatial spectral utilization efficiency as well as the greenness of wireless transmissions. After illustrating its evaluation for point-to-point transmission, we analyze the GASE performance of several different transmission scenarios, including dual-hop relay transmission, three-node cooperative relay transmission and underlay cognitive radio transmission. We derive closed-form expressions for the GASE metric of each transmission scenario under Rayleigh fading environment whenever possible. Through mathematical analysis and numerical examples, we show that the GASE metric provides a new perspective on the design and optimization of wireless transmissions, especially on the transmitting power selection. We also show that introducing relay nodes can greatly improve the spatial utilization efficiency of wireless systems. We illustrate that the GASE metric can help optimize the deployment of underlay cognitive radio systems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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