Base-station network planning including environmental impact control

2004 ◽  
Vol 151 (3) ◽  
pp. 197 ◽  
Author(s):  
G. Cerri ◽  
R. De Leo ◽  
D. Micheli ◽  
P. Russo
Keyword(s):  
Environmental Impact ◽  
Network Planning ◽  
Base Station ◽  
Station Network

Reduction of a two‐gravimeter base network by linear regression

Geophysics ◽  
1985 ◽  
Vol 50 (5) ◽  
pp. 867-869
Author(s):  
C. Patrick Ervin
Keyword(s):  
Linear Regression ◽  
Regression Line ◽  
Field Work ◽  
Base Station ◽  
The Other ◽  
Base Stations ◽  
Simultaneous Operation ◽  
Station Network ◽  
Exploration Environment ◽  
Base Network

In the exploration environment, a primary application of gravity surveying is regional reconnaissance. The first step in such a survey is to establish a base‐station network. Since an error in the network will propagate to many stations in the subsequent survey, careful field work and accurate reduction of these data are particularly critical. Optimally, successive base stations are tied by minimum‐time loops using at least two meters read simultaneously. Using two meters has the obvious advantage of doubling the number of ties with minimal increase in time and cost. Erroneous readings are also much easier to detect and correct with two meters. Furthermore, the simultaneous operation of the meters allows calibrations of the two to be compared by computing a linear regression of the readings of one meter against the corresponding readings of the other. If the meter calibrations are identical, the regression line should have a slope of 1. A significant deviation from 1 indicates a systematic variation in calibration.

scholarly journals Multi-Agent Design for the Physical Layer of a Distributed Base Station Network

10.5772/9482 ◽  
2010 ◽  
Author(s):  
Philippe Leroux ◽  
Sebastien Roy
Keyword(s):  
Physical Layer ◽  
Base Station ◽  
Station Network ◽  
Agent Design ◽  
Multi Agent

Person Movement and Stay Classification Based on Base Station Network Data

2019 ◽  
Author(s):  
Ke Wang ◽  
Shaoyang Zhang ◽  
Kun Yu ◽  
Ying Li ◽  
Weike Fan ◽  
...  
Keyword(s):  
Base Station ◽  
Network Data ◽  
Station Network

Southeast Alaska gravity base station network

1972 ◽  
Author(s):  
David F. Barnes
Keyword(s):  
Base Station ◽  
Southeast Alaska ◽  
Station Network

Application of Thiessen Polygon Algorithm in Cellular Network Simulation System

2012 ◽  
Vol 532-533 ◽  
pp. 1851-1856 ◽  
Author(s):  
Liu Wei ◽  
Hai Yan Chen ◽  
Li Li ◽  
Hai Ming Fu ◽  
Li Wei
Keyword(s):  
Wireless Network ◽  
Cellular Network ◽  
Network Planning ◽  
Base Station ◽  
Service Area ◽  
Regular Hexagon ◽  
Positive Role ◽  
Thiessen Polygon ◽  
Practical Engineering ◽  
Cellular Mobile

Cellular mobile communication system divides the service area into several adjacent cells; each cell sets up a base station. In the traditional cellular representation, we always use regular hexagon to represent the cell. In the practical engineering applications and wireless network planning simulation systems, as the programming environment is complex and diverse, using the regular hexagon to represent the cellular network has limitation. This paper used Thiessen polygon and spatial analysis method to describe the cell service area with a polygon. This method intuitively displayed the relationship between the scope of service and its place with each other in space. For the Pre-construction and later optimization of wireless network planning it has a positive role.

Border Adaptive Micro-Base-Station for Wireless Communications

2013 ◽  
pp. 256-267
Author(s):  
Henry Gao ◽  
Yushi Shen
Keyword(s):  
Wireless Networks ◽  
Large Cell ◽  
Base Station ◽  
Service Performance ◽  
Station Network ◽  
Network Applications ◽  
Wireless Service ◽  
Convergence Point ◽  
Cell Base

This chapter presents a novel architecture, namely the border adaptive micro-base-station network, which can sufficiently meet the bandwidth requirements for the future wireless networks. From the three screens convergence point, the goal is to make the wireless service performance match that of the wired systems, instead of downgrading the performance of wired network applications to the wireless level. Based on the analysis of Shannon theory, the only way to build future wireless networks is to adopt this micro-base-station approach instead of progressively improving the traditional large-cell-base-station systems, such as Long-Term Evolution (LTE).

Iowa Gravity Base Station Network

1969 ◽  
Author(s):  
D. H. Hase ◽  
Russell B. Campbell ◽  
Orville J. Van Eck
Keyword(s):  
Base Station ◽  
Station Network
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