scholarly journals MODE SELECTION METHOD IN MODAL ITERATIVE ERROR CORRECTION FOR STABILIZATION OF CONVERGENCE

2019 ◽  
Vol 84 (756) ◽  
pp. 195-203 ◽  
Author(s):  
Takuya SUZUKI
Keyword(s):  
Error Correction ◽  
Mode Selection ◽  
Selection Method ◽  
Iterative Error

Improved measurement accuracy from iterative error correction

1981 ◽  
Vol 24 (4) ◽  
pp. 262-264
Author(s):  
T. M. Aliev ◽  
D. I. Damirov ◽  
A. M. Shekikhanov
Keyword(s):  
Error Correction ◽  
Measurement Accuracy ◽  
Iterative Error

The Research on Port Logistics Mode and the Selection

2014 ◽  
Vol 945-949 ◽  
pp. 3209-3218
Author(s):  
Dong Quan Sun ◽  
Yong Yang
Keyword(s):  
Mode Selection ◽  
Selection Method ◽  
Development Mode ◽  
Port Development ◽  
Factors Influencing ◽  
Port Logistics ◽  
Logistics Mode

According to the characteristics and trends of our country port development, and the port logistics development mode, and to determine the factors influencing the development of port logistics, and then study the reasonable mode selection method.

scholarly journals Improving Power and Resource Management in Heterogeneous Downlink OFDMA Networks

Information ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 203
Author(s):  
Nalliyanna Goundar Veerappan Kousik ◽  
Yuvaraj Natarajan ◽  
Kallam Suresh ◽  
Rizwan Patan ◽  
Amir H. Gandomi
Keyword(s):  
Resource Management ◽  
Power Consumption ◽  
Mode Selection ◽  
Selection Method ◽  
Small Cell ◽  
Performance Model ◽  
Sleep Mode ◽  
Hybrid Technique ◽  
Communication Performance ◽  
Ofdma Networks

In the past decade, low power consumption schemes have undergone degraded communication performance, where they fail to maintain the trade-off between the resource and power consumption. In this paper, management of resource and power consumption on small cell orthogonal frequency-division multiple access (OFDMA) networks is enacted using the sleep mode selection method. The sleep mode selection method uses both power and resource management, where the former is responsible for a heterogeneous network, and the latter is managed using a deactivation algorithm. Further, to improve the communication performance during sleep mode selection, a semi-Markov sleep mode selection decision-making process is developed. Spectrum reuse maximization is achieved using a small cell deactivation strategy that potentially identifies and eliminates the sleep mode cells. The performance of this hybrid technique is evaluated and compared against benchmark techniques. The results demonstrate that the proposed hybrid performance model shows effective power and resource management with reduced computational cost compared with benchmark techniques.

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