Self-Adaptive Parameters Adjustment Scheme for Load Balancing in LTE Systems

2011 ◽  
Vol 467-469 ◽  
pp. 2007-2012
Author(s):  
Wei Zheng ◽  
Xiang Ming Wen ◽  
Huai Ning Ge
Keyword(s):  
Load Balancing ◽  
High Load ◽  
Load Cell ◽  
Adaptive Parameters ◽  
Adjustment Strategy ◽  
Network Operations ◽  
Core Idea ◽  
Inter Cell Interference ◽  
Adjustment Scheme ◽  
Self Adaptive

Next-generation cellular networks will provide higher cell capacity by adopting advanced physical layer techniques and bandwidth. In such networks, low throughput due to severe inter-cell interference and unbalanced user distributions among cells couldn’t be born. In this paper, we focus on solving this problem by adopting a novel self-adaptive handover parameters adjustment and load-balancing schemes in LTE systems. The core idea is to obtain the empirical data of network operations and the load distribution of the high load cell to carry out pre-adjustment between the high load cell and its neighbors. Accordingly, the effect of adjustment is evaluated and parameter adjustment strategy sets will be carried out to complete update based on results of the evaluation. The scheme could consume less networks resource and implement dynamic load balance effectively.

SELF-ADAPTIVE LEARNING CLASSIFIER SYSTEM

2010 ◽  
Vol 19 (01) ◽  
pp. 275-296 ◽  
Author(s):  
OLGIERD UNOLD
Keyword(s):  
Mutation Rate ◽  
Adaptive Learning ◽  
Adaptive Mutation ◽  
Learning Classifier System ◽  
Classifier System ◽  
Learning Classifier ◽  
Adaptive Parameters ◽  
Proposed Model ◽  
Fixed Parameter ◽  
Self Adaptive

This article introduces a new kind of self-adaptation in discovery mechanism of learning classifier system XCS. Unlike the previous approaches, which incorporate self-adaptive parameters in the representation of an individual, proposed model evolves competitive population of the reduced XCSs, which are able to adapt both classifiers and genetic parameters. The experimental comparisons of self-adaptive mutation rate XCS and standard XCS interacting with 11-bit, 20-bit, and 37-bit multiplexer environment were provided. It has been shown that adapting the mutation rate can give an equivalent or better performance to known good fixed parameter settings, especially for computationally complex tasks. Moreover, the self-adaptive XCS is able to solve the problem of inappropriate for a standard XCS parameters.

scholarly journals A Dynamic Access Probability Adjustment Strategy for Coded Random Access Schemes

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4206
Author(s):  
Sun ◽  
Liu ◽  
Paolini
Keyword(s):  
Interference Cancellation ◽  
Loss Rate ◽  
Random Access ◽  
Estimation Algorithm ◽  
High Load ◽  
A Posteriori ◽  
Mac Layer ◽  
Medium Access ◽  
Finite Frame ◽  
Adjustment Strategy

In this paper, a dynamic access probability adjustment strategy for coded random accessschemes based on successive interference cancellation (SIC) is proposed. The developed protocolconsists of judiciously tuning the access probability, therefore controlling the number of transmittingusers, in order to resolve medium access control (MAC) layer congestion states in high load conditions.The protocol is comprised of two steps: Estimation of the number of transmitting users during thecurrent MAC frame and adjustment of the access probability to the subsequent MAC frame, based onthe performed estimation. The estimation algorithm exploits a posteriori information, i.e., availableinformation at the end of the SIC process, in particular it relies on both the frame configuration(residual number of collision slots) and the recovered users configuration (vector of recovered users)to effectively reduce mean-square error (MSE). During the access probability adjustment phase, atarget load threshold is employed, tailored to the packet loss rate in the finite frame length case.Simulation results revealed that the developed estimator was able to achieve remarkable performanceowing to the information gathered from the SIC procedure. It also illustrated how the proposeddynamic access probability strategy can resolve congestion states efficiently.

scholarly journals Application of intelligent position and attitude adjustment technology in AIT of the space optical remote sensor

2021 ◽  
Vol 233 ◽  
pp. 04005
Author(s):  
Zhifei Zhang ◽  
Yi Ji ◽  
Wenchun Jiao
Keyword(s):  
Mechanical Analysis ◽  
Work Efficiency ◽  
Manufacturing Efficiency ◽  
Adjustment Strategy ◽  
Remote Sensor ◽  
Attitude Adjustment ◽  
Adjustment Scheme

In this paper, we present an intelligent position and attitude adjustment technology to solve the problem that the traditional pose adjustment scheme cannot meet the requirements of AIT, which is one of the most important parts in the manufacture of space optical remote sensor. The problem we have outlined deals largely with the study of a pioneer proposed hybrid pose adjustment strategy and a reanalysed the function of spatial pose adjustment. The strategy is realized as an intelligent position and attitude adjustment platform, and its mechanical analysis and practical statistics in AIT are carried out. The results prove to be encouraging, and it shows that the stiffness of the platform meets the requirements, the complexity of manufacturing the remote sensor is reduced, the total time of a single mission is reduced by nearly 18 times, the total man-time is reduced by 21 times, and the work efficiency is increased by 44 times. This work has resulted in a solution of the manufacturing efficiency and intelligent level of the space optical remote sensor be effectively improved.

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