Performance Evaluation of Multi-Cell CoMP Based on Genetic Algorithm Applied to Finite Blocklength Regime for URLLC in Downlink Non-Orthogonal Multiple Access

2021 ◽  
Vol 46 (7) ◽  
pp. 1219-1226
Author(s):  
Won Jae Ryu ◽  
Jae Woo Kim ◽  
Dong-Seong Kim
Keyword(s):  
Genetic Algorithm ◽  
Performance Evaluation ◽  
Multiple Access

PERFORMANCE EVALUATION OF GENETIC DISTRIBUTED FUZZY CONTROLLERS FOR MULTI-PART-TYPE PRODUCTION LINE

2007 ◽  
Vol 06 (02) ◽  
pp. 115-128
Author(s):  
SEYED MAHDI HOMAYOUNI ◽  
TANG SAI HONG ◽  
NAPSIAH ISMAIL
Keyword(s):  
Genetic Algorithm ◽  
Performance Evaluation ◽  
Objective Function ◽  
Production Rate ◽  
Production Line ◽  
Production Systems ◽  
Membership Functions ◽  
Part Type ◽  
High Penalty ◽  
Single Part

Genetic distributed fuzzy (GDF) controllers are proposed for multi-part-type production line. These production systems can produce more than one part type. For these systems, "production rate" and "priority of production" for each part type is determined by production controllers. The GDF controllers have already been applied to single-part-type production systems. The methodology is illustrated and evaluated using a two-part-type production line. For these controllers, genetic algorithm (GA) is used to tune the membership functions (MFs) of GDF. The objective function of the GDF controllers minimizes the surplus level in production line. The results show that GDF controllers can improve the performance of production systems. GDF controllers show their abilities in reducing the backlog level. In production systems in which the backlog has a high penalty or is not allowed, the implementation of GDF controllers is advisable.

scholarly journals Performance evaluation of low-density spreading multiple access

2019 ◽  
Vol 13 (1) ◽  
pp. 108-115
Author(s):  
Shuang Chen ◽  
Kewu Peng ◽  
Yushu Zhang ◽  
Jian Song
Keyword(s):  
Performance Evaluation ◽  
Multiple Access ◽  
Low Density
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