当前位置: X-MOL 学术Wireless Pers. Commun. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Network Planning in Deep Fading Area is a Research Challenge
Wireless Personal Communications ( IF 1.9 ) Pub Date : 2021-01-03 , DOI: 10.1007/s11277-020-07971-2
Satyendra Sharma , Brahmjit Singh

A modified path loss prediction model for deep fading area is presented and compared with standard indoor path loss model. An academician perspective, it may not be feasible to design a network for its maximum capacity & coverage under deep fading environment. The above facts reveals us to carry out real time analysis of network using advance set up and predict minimum detectable signal in deep fading area. In this paper, monitoring of signal at different frequency and power under deep fading condition is carried out to check and access the reality of signal variation. The temporal variation of signal is recorded continuously to check the minimum availability of signalfor mathematical analysis. The statistical analysis on recorded data provides large variation in standard deviation (13.16 to 17.25 dB) and the path loss exponent tends to a new value of 4.8. The received signal strength for LTE network goes beyond − 74 to − 103 dBm.Path loss at different frequency, power and distance is calculated using ITU model, Log Distance model and new model is proposed for fading area. The large variation in path loss (9 to 283 dB) for different networks is plotted for fading area under study.The improvement of signal strength was observed slightly by 10 dBm when base station antenna was down tilted by − 20. The change in signal strength after down tilting the antenna is also recorded and presented. Such small increment in signal strength may allow network to provide better connectivity in fading area with good quality of service (QoS).



中文翻译:

深度衰落地区的网络规划是一项研究挑战

提出了一种改进的深衰落路径损耗预测模型,并将其与标准室内路径损耗模型进行了比较。从院士的角度来看,在深度衰落环境下设计网络以实现其最大容量和覆盖范围可能并不可行。以上事实揭示了我们可以利用预先设置对网络进行实时分析,并预测深衰落区域中的最小可检测信号。本文通过在深度衰落条件下对不同频率和功率的信号进行监控,以检查和访问信号变化的真实性。连续记录信号的时间变化,以检查信号的最小可用性以进行数学分析。对记录数据的统计分析提供了标准偏差的较大差异(13.16至17)。25分贝)和路径损耗指数趋于新值4.8。LTE网络的接收信号强度超过-74至-103 dBm。使用ITU模型,对数距离模型和衰落区域新模型,计算了不同频率,功率和距离下的路径损耗。对于正在研究的衰落区域,绘制了不同网络的路径损耗的较大变化(9至283 dB)。当基站天线向下倾斜− 2时,观察到的信号强度略微提高了10 dBm0。天线向下倾斜后的信号强度变化也会被记录并显示出来。信号强度的这种小增量可以允许网络以良好的服务质量(QoS)在衰落区域中提供更好的连接性。

更新日期:2021-01-03
down
wechat
bug