Determination of Best-fit Propagation Models for Pathloss Prediction of a 4G LTE Network in Suburban and Urban Areas of Lagos, Nigeria
Determination of Best-fit Propagation Models for Pathloss Prediction of a 4G LTE Network in Suburban and Urban Areas of Lagos, Nigeria
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尼日利亚拉各斯郊区和城市地区 4G LTE 网络路径损耗预测的最佳拟合传播模型的确定
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发表时间：
2019
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通讯作者：
Simeon O. Ajosed
中科院分区：
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作者：
A. Imoize;Augustus E. Ibhazeb;Peace O. Nwosuc;Simeon O. Ajosed
传播测量和建模为信号强度预测以及无线通信系统的发射机和接收机的设计提供了有用的信息。为了部署高效的无线通信系统，路径损耗模型对于有效的移动网络规划和优化是必不可少的。本文提出了适用于尼日利亚拉各斯郊区和城市地区第四代长期演进 (4G LTE) 网络路径损耗预测的传播模型。在 3.4GHz 工作频率下测量了 4G LTE 网络的参考信号接收功率 (RSRP)，并将测量数据与现有路径损耗模型进行了比较。在候选模型中，COST 231-Hata 和 Ericsson 模型在城市和郊区表现最好，均方根误差 (RMSE) 分别为 5.13dB 和 7.08dB。这些模型是使用最小二乘回归算法选择和开发的。所开发的模型显示出良好的预测结果，城市和郊区的 RMSE 分别为 6.20dB 和 5.90dB，并且与类似区域报告的传播测量结果相媲美。研究发现，这些模型可以更好地表征无线电覆盖和移动网络规划，从而提高相关领域的移动服务质量。
Propagation measurements and modeling provide useful information for signal strength prediction and the design of transmitters and receivers for wireless communication systems. In order to deploy efficient wireless communication systems, path loss models are indispensable for effective mobile network planning and optimisation. This paper presents propagation models suitable for path loss prediction of a fourth generation long-term evolution (4G LTE) network in the suburban and urban areas of Lagos, Nigeria. The reference signal received power (RSRP) of a 4G LTE network was measured at an operating frequency of 3.4GHz, and measured data was compared against existing pathloss models. Among the candidate models, the COST 231-Hata and the Ericsson models showed the best performances in the urban and suburban areas with root mean squared errors (RMSEs) of 5.13dB and 7.08dB, respectively. These models were selected and developed using the least square regression algorithm. The developed models showed good prediction results with RMSEs of 6.20dB and 5.90dB in the urban and suburban areas, respectively, and compare favourably with propagation measurement results reported for similar areas. It was found that these models would better characterise radio coverage and mobile network planning, enhancing the quality of mobile services in related areas.