Beyond Jain's Fairness Index

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>H-index has been widely used as one of the bibliometric measurement methods for researchers’ performance. </span><span>On the other hand, H-index has been unfair for figuring authors that have high number of citations but fewer number </span><span>of papers (perfectionist researcher) and researchers that have many papers but fewer citations (productive researcher). The main objective of this article is to improve H-index for accommodating and calculating perfectionist and productive researchers’ impact based on Jain’s Fairness Index algorithm and Lotka’s Law. For improving H-index by RA-index is proposed. To prove the proposed a method, 1,710 citation data sets of top cited researchers from Scopus based on author names list from Webometrics site are used. Fairness index of the RA-index has the average of 91 per cent, which is higher than the fairness of H-Index 80 per cent has been found. </span></p></div></div></div>

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Exhaustive Appraisal of Adaptive Hybrid LTE-A Downlink Scheduling Algorithm

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.b2632.129219 ◽

2019 ◽

Vol 9 (2) ◽

pp. 4765-4772

Keyword(s):

Resource Allocation ◽

Spectral Efficiency ◽

Scheduling Algorithm ◽

Scheduling Algorithms ◽

Base Station ◽

Network Simulator ◽

Cell Edge ◽

Fairness Index ◽

Downlink Scheduling ◽

Channel Quality

Long Term Evolution- Advanced (LTE-A) networks have been introduced in Third Generation Partnership Project (3GPP) release – 10 specifications, with an objective of obtaining a high data rate for the cell edge users, higher spectral efficiency and high Quality of service for multimedia services at the cell edge/Indoor areas. A Heterogeneous network (HetNet) in a LTE-A is a network consisting of high power macro-nodes and low power micro-nodes of different cell coverage capabilities. Due to this, non-desired signals acting as interference exist between the micro and macro nodes and their users. Interference is broadly classified as cross-tier and co-tier interference. The cross tier interference can be reduced by controlling the base station transmit power while the co-tier interference can be reduced by proper resource allocation among the users. Scheduling is the process of optimal allocation of resources to the users. For proper resource allocation, scheduling is done at the Main Base station (enodeB). Some LTE-A downlink scheduling algorithms are based on transmission channel quality feedback given by user equipment in uplink transmission. Various scheduling algorithms are being developed and evaluated using a network simulator. This paper presents the performance evaluation of the Adaptive Hybrid LTE-A Downlink scheduling algorithm. The evaluation is done in terms of parameters like user’s throughput (Peak, Average, and Edge), Average User’s spectral efficiency and Fairness Index. The evaluated results of the proposed algorithm is compared with the existing downlink scheduling algorithms such as Round Robin, Proportional Fair, Best Channel Quality Indicator (CQI) using a network simulator. The comparison results show the effectiveness of the proposed adaptive Hybrid Algorithm in improving the cell Edge user’s throughput as well the Fairness Index.

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On Sum- Throughput and Fairness Index analysis of Downlink NOMA Over OFDMA for Machine -to -Machine Communication

IJARCCE ◽

10.17148/ijarcce.2019.8516 ◽

2019 ◽

Vol 8 (5) ◽

pp. 73-80

Author(s):

Selvam K ◽

Kumar K

Keyword(s):

Machine To Machine ◽

Fairness Index ◽

Index Analysis ◽

Machine To Machine Communication ◽

Machine Communication

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A Discrimination Index Based on Jain's Fairness Index to Differentiate Researchers with Identical H-index Values

Journal of Data and Information Science ◽

10.2478/jdis-2020-0026 ◽

2020 ◽

Vol 0 (0) ◽

Author(s):

Adian Fatchur Rochim ◽

Abdul Muis ◽

Riri Fitri Sari

Keyword(s):

Design Methodology ◽

Discrimination Index ◽

Additional Parameter ◽

Discrimination Power ◽

Index Method ◽

H Index ◽

Fairness Index ◽

Index Value ◽

Number Of Citations ◽

Practical Implications

AbstractPurposeThis paper proposes a discrimination index method based on the Jain's fairness index to distinguish researchers with the same H-index.Design/methodology/approachA validity test is used to measure the correlation of D-offset with the parameters, i.e. H-index, the number of cited papers, the total number of citations, the number of indexed papers, and the number of uncited papers. The correlation test is based on the Saphiro-Wilk method and Pearson's product-moment correlation.FindingsThe result from the discrimination index calculation is a two-digit decimal value called the discrimination-offset (D-offset), with a range of D-offset from 0.00 to 0.99. The result of the correlation value between the D-offset and the number of uncited papers is 0.35, D-offset with the number of indexed papers is 0.24, and the number of cited papers is 0.27. The test provides the result that it is very unlikely that there exists no relationship between the parameters.Practical implicationsFor this reason, D-offset is proposed as an additional parameter for H-index to differentiate researchers with the same H-index. The H-index for researchers can be written with the format of “H-index: D-offset”.Originality/valueD-offset is worthy to be considered as a complement value to add the H-index value. If the D-offset is added in the H-index value, the H-index will have more discrimination power to differentiate the rank of the researchers who have the same H-index.

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