Topic
TEst Mobile System
About: TEst Mobile System is a research topic. Over the lifetime, 3 publications have been published within this topic receiving 105 citations.
Papers
TL;DR: In this paper, a method of statistical analysis based on measurement is proposed to estimate and characterize the exposure level in an operating network, using a test mobile system, the data stream between the mobile and the base station, and, in particular the power control level, has been recorded along routes in Paris and its vicinity.
Abstract: Biological studies and, in particular, epidemiological ones require the estimation of the RF exposure induced by a mobile phone. Due to the different techniques used by global system mobile (GSM) and digital communication system (DCS) such as power control and discontinuous transmission, the power emitted by a handset is largely variable. As these parameters depend on the environment and the network strategy, individual exposure level is difficult to evaluate a priori. An analysis of the relative influence of the main parameters is performed and a method of statistical analysis based on measurement is proposed to estimate and characterize the exposure level in an operating network. Using a test mobile system, the data stream between the mobile and the base station, and, in particular the power control level, has been recorded along routes in Paris and its vicinity. Statistical parameters such as mean value, standard deviation, level crossing rate, and average duration fading have been extracted from these data. These parameters, which characterize the RF exposure induced by a GSM handset in an operating network, have been applied to a generic handset to evaluate the characteristics of the power absorbed by specific biological tissues using the finite-difference time-domain (FDTD) method.
107 citations
1 Jan 2016
TL;DR: The results show that FTDNN trained by Levenberg algorithm has a better performance compared to DTDNN and Layer Recurrent Neural Network, trained byLevenberg method, but at the cost of increased computation time.
Abstract: The prediction of path loss for the mobile radio signals is an important part in the design phase of the wireless cellular networks. In the process of modelling the path loss, the GSM 900 MHz signals are collected experimentally using Test Mobile System (TEMS) tool in the dense urban environment of Hyderabad city. In this paper, the best suited Cost 231 Hata empirical propagation model is implemented using three major dynamic neural networks namely, Focused Time Delay Neural Network (FTDNN), Distributed Time Delay Neural Network (DTDNN) which are feed forward dynamic neural networks and Layer Recurrent Neural Network (LRNN) which is a feedback dynamic neural network. The aim of these implementations is to minimise the errors between simulations and measurements. The dynamic neural networks are trained using Levenberg-Marquardt and Scaled Conjugate Gradient training algorithms. Comparisons are made by varying the number of neurons in the hidden layer and changing the training epochs. The performance is analysed in terms of correlation with the measured data, standard deviation, mean error between the targets and outputs and computation times. From the results it is inferred that, the best correlation between simulations and measurements is 0.9972, standard deviation of error (0.04) and mean error (−5.379e-5) are least for Layer Recurrent Neural Network, trained by Levenberg method, but at the cost of increased computation time. With respect to the feed forward dynamic networks, the results show that FTDNN trained by Levenberg algorithm has a better performance compared to DTDNN.
13 citations
1 Sep 2015
TL;DR: The recorded user throughput reading is way below the target rate specified in LTE Release 8, because the terrain profile and foliage within the campus areas affecting the measured throughput.
Abstract: In this paper, the performance of LTE networks have been analyzed and compared with the original target outputs, as specified in LTE Release 8 The test is done by executing a real drive test, which is executed in a sub-urban campus environment The drive-test was performed in both in-building and outdoor environments The user mobility affects the received user throughput, as well the Reference Signal Strength Indicator (RSSI) The test cases are executed by using a real LTE user equipment, equipped with ASCOM's TEMS software on a live 3G and 4G mobile networks for the both Malaysian mobile service providers; Maxis and Celcom Most test cases used FTP Traffic in both uplink and downlink testing scenarios The performance indicators considered is the RSSI (dBm), the average user-throughput (kb/s) and the round trip delay (ms) The results showed sufficient coverage within the campus area from both operators The recorded user throughput reading is way below the target rate specified in LTE Release 8 This is because the terrain profile (hilly areas) and foliage (thick a tall trees) within the campus areas affecting the measured throughput The round trip time found to be almost similar to the target (<20 ms)
6 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2016 | 1 |
| 2015 | 1 |
| 2000 | 1 |