On non-existence of moment estimators of the GED power parameter

2016 ◽  
Vol 36 (1-2) ◽  
pp. 5
Author(s):  
Bartosz Stawiarski
2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
A. B. Vallejo-Mora ◽  
M. Toril ◽  
S. Luna-Ramírez ◽  
M. Regueira ◽  
S. Pedraza

UpLink Power Control (ULPC) is a key radio resource management procedure in mobile networks. In this paper, an analytical model for estimating the impact of increasing the nominal power parameter in the ULPC algorithm for the Physical Uplink Shared CHannel (PUSCH) in Long Term Evolution (LTE) is presented. The aim of the model is to predict the effect of changing the nominal power parameter in a cell on the interference and Signal-to-Interference-plus-Noise Ratio (SINR) of that cell and its neighbors from network statistics. Model assessment is carried out by means of a field trial where the nominal power parameter is increased in some cells of a live LTE network. Results show that the proposed model achieves reasonable estimation accuracy, provided uplink traffic does not change significantly.


2015 ◽  
Vol 719-720 ◽  
pp. 561-566
Author(s):  
Yong Qing Gao ◽  
Dan Shanng

Firstly, this paper analyzes the significance and demand of intelligent power. Then a solution of home intelligent power system based on ZigBee is proposed. Hardware components of the solution proposed in this work mainly consists of AT91SAM9G20 as the core of the home gateway controller, CC430F6137 as the core of the network node of intelligent power and construction of intelligent home network system. This paper mainly introduces a new type of home intelligent power consumption network node, which realizes the measurement of electric power parameter, monitoring, overload protection and timing control, the communication between home gateway and network node through ZigBee protocol, the intelligent household electricity. By testing and using, it can meet the aspects of everyday life needs of user in convenient life, intelligent life and energy-saving, etc. It brings great commercial return and technical value to the development and application of intelligent home in future, as well as far-reaching impact to improving the quality of intelligent home services.


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