空白空间的潜在崩溃和全球权力统治的前景

Kate Harrison, A. Sahai
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引用次数: 25

摘要

电视空白区最近开放给半无证使用的频率灵活无线电。然而,在采用的规则中有一个潜在的重大缺陷:它们试图以类似于ISM频带的方式处理空白-每个设备的传输功率限制。不幸的是,无线干扰的聚集和美国各地的人口密度有数量级的不同。这意味着,随着空白装置的部署,电视接收器可能面临的总干扰可能会增加,并可能共同导致在所谓的受保护轮廓内的接收损失。然而,现在还为时不晚。采用地理定位+数据库的方法可以通过改变数据库的行为来避免这个问题——而不是仅仅控制空白空间设备的运行位置,我们还应该将它们的总排放量控制在一定的功率密度内(即按面积)。随着迫在眉睫的问题得到解决,我们还可以尝试解决整个电视空白方案中的一个主要紧张关系:任何允许的功率/高度/距离规则都隐含地优先考虑农村与城市的需求,并在不同的应用程序中选择最喜欢的。唉,集体干预的现实阻止了我们让每个人同时完全快乐。为了在距离电视台较远的地方实现更高的发射功率,我们必须降低距离较近的地方的允许功率。但令人惊讶的是,无线传播和信息理论的特性结合起来表明,在这些相互竞争的利益之间以一种原则性的方式妥协,可能存在普遍的近似最佳方法。我们研究了一对这样的规则,并表明,大多数人确实可以获得接近于如果专门为他们编写规则所能获得的数据速率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Potential collapse of whitespaces and the prospect for a universal power rule
The TV whitespaces have recently been opened up for semi-unlicensed use by frequency-agile radios. However, there is a potentially significant flaw in the adopted rules: they try to treat the whitespaces in a manner similar to the ISM bands — with per-device transmit-power constraints. Unfortunately, wireless interference aggregates and the population density across the United States of America varies by orders of magnitude. This means that the aggregate interference that TV receivers might face could increase as whitespace devices are deployed, and could collectively cause a loss of reception within the supposedly protected contours. However, it is not too late. The adopted geolocation plus databases approach lets us avoid this problem by changing database behavior — instead of just controlling where white-space devices operate, we should also hold their aggregate emissions to within a certain power density (i.e. by area). With the looming problem resolved, we can also try to address one of the main tensions within the entire TV whitespace approach: any set of allowed power/height/distance rules is implicitly prioritizing rural vs urban needs and picking favorites among different applications. Alas, the reality of aggregate interference prevents us from making everyone simultaneously perfectly happy. To enable higher transmit powers further from TV stations, we must necessarily reduce the allowed powers closer in. But amazingly, the properties of wireless propagation and information-theory combine to suggest that universally approximately-optimal approaches might be possible that could compromise between these competing interests in a principled way. We explore a pair of such rules and show that indeed, most people can get a data-rate close to what they would have gotten if the rules had been written especially for them.
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