Optimal field measurement design for radio environment mapping
Optimal field measurement design for radio environment mapping
复制标题
无线电环境测绘的最佳现场测量设计
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
R. Wichman
中科院分区：
文献类型：
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作者：
J. Ojaniemi;Juha Kalliovaara;A. Alam;J. Poikonen;R. Wichman
白色空间是本地或暂时可用的频率，其主要保留用于诸如TV广播的主要用途。当前对这种频谱资源的利用的流行观点是，白色空间设备必须查询地理位置数据库以获得关于可用频率和相关最大传输功率的信息。地理定位数据库基本上基于使用无线电传播模型获得的主要服务的场强估计。然而，通常针对数百平方米的空间分辨率来计算地理上广泛的广播网络的场强估计。因此，即使使用目前可用的最复杂的传播模型，由于有限的地理信息，预测值总是包含误差。为了克服这一缺陷，我们提出了一种基于泛克里金插值的地统计学方法来估计无线电环境。此外，我们使用空间模拟退火优化现场测量的位置，并表明它显着提高了当地的场强估计。索引术语-无线电
White spaces are locally or temporally available frequencies that are principally reserved for primary use such as TV broadcasting. The currently prevalent view to the utilization of such spectrum resources is that white space devices must query a geolocation database to obtain information about available frequencies and related maximum transmission powers. A geolocation database is fundamentally based on field strength estimates of the primary service obtained using radio propagation models. However, field strength estimates for geographically extensive broadcast networks are typically computed for spatial resolutions of hundreds of square meters. Therefore, even with the most sophisticated propagation models currently available, the predicted values always contain errors due to the limited geographical information. To overcome such deficiency, we propose a geostatistical approach for estimating the radio environment based on universal kriging interpolation. In addition, we optimize the locations of field measurements using spatial simulated annealing, and show that it improves significantly local field strength estimates. Index Terms-radio