CHARACTERIZATION AND QUANTIFICATION OF TELEVISION WHITE SPACE DATASET

A practical alternative to the solution of the spectrum scarcity problem in wireless communication is the use of Cognitive Radio. The Primary users of which can be protected from secondary user interference by accurate prediction of TV White Spaces (TVWS) by using appropriate propagation modelling. In implementing any mobile communication system, the essential chore is to envisage the coverage of the projected system in a wide range. Also, the accurate determination of the propagation path loss leads to the development of efficient design and operation of quality networks. Many such dissimilar approaches have been developed, over time, to predict network coverage using what we know as propagation models. This data article presents a measurement-based path loss model, from experimental data collected in Calabar urban, South-South Nigeria. Received Signal Strength (RSS) measurements were gotten in Calabar from Cross River Broadcasting Corporation (CRBC) operating at 519.25MHz (Nigeria). Variations in path loss between the measured and the predicted values from the Okumura-Hata model were calculated by finding the mean square errors (MSE). A comprehensive quantitative estimation of TVWS is done. The data is analysed and presented in tables, graphs, and figures.无线通信领域中解决频谱稀缺问题的实用替代方案是认知无线电（Cognitive Radio）。通过采用恰当的传播建模技术对电视空白频段（TV White Spaces, TVWS）进行精准预测，可保护该系统的主用户免受次用户的干扰。在部署任意移动通信系统时，核心要务之一是对规划中系统的覆盖范围开展大范围预估。此外，精准确定传播路径损耗，有助于实现高质量网络的高效设计与运维。随着时间推移，学界已开发出诸多迥异的方法，借助我们所称的传播模型来预测网络覆盖范围。本数据论文基于尼日利亚南南地区卡拉巴尔市区的实测实验数据，提出了一种基于测量的路径损耗模型。研究团队在卡拉巴尔地区针对工作于519.25MHz的尼日利亚克罗斯河广播公司（Cross River Broadcasting Corporation, CRBC）的信号，开展了接收信号强度（Received Signal Strength, RSS）测量。通过计算均方误差（Mean Square Errors, MSE），量化了实测路径损耗与奥村-哈塔（Okumura-Hata）模型预测值之间的偏差。本研究对电视空白频段开展了全面的定量评估。所有实验数据均通过表格、图表及插图进行了分析与呈现。