Improved Quality of Service for Mixed Traffic OFDMA –SWIPT System using Log-Normal Distribution

Resource allocation is a protuberant, unavoidable feature for all future communication systems .It is important to maintain true communication between sources to destination without any loss. The Quality of Service (QoS) is also another important factor for any type of mixed and multi user communication. In this paper, OFDMA – SWIPT is considered for mixed traffic communication to data transfer and power (energy) gathering. SWIPT can be operated in two modes for data transfer and power calculation, those are Time Switching (TS) and Power splitting (PS). One of the methodologies for resource allocation can be done by using either PS-SWIPT or TS-SWIPT. By comparing PS-SWIPT and TS-SWIPT under various parameters like PAPR (peak to average power ratio), Channel state information (CSI), Quality of service (QoS), Bit Error Rate (BER) and TS-SWIPT system is best suited method. In this methodology the error rate becoming more, The present SWIPT system is best suited for limited users, if the number of users and mixed traffic is applied then Quality of service (QoS) will decreases. In proposed system, efficiency of the SWIPT OFDM system with Log-Normal function is analyzed. After adding Log-Normal distribution function if we use mixed traffic then QoS will be increasing, in simulation results it is proved.

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Modeling Errors in NOE Data with a Log-normal Distribution Improves the Quality of NMR Structures

Journal of the American Chemical Society ◽

10.1021/ja055092c ◽

2005 ◽

Vol 127 (46) ◽

pp. 16026-16027 ◽

Cited By ~ 29

Author(s):

Wolfgang Rieping ◽

Michael Habeck ◽

Michael Nilges

Keyword(s):

Normal Distribution ◽

Nmr Structures ◽

Modeling Errors ◽

Log Normal ◽

Log Normal Distribution

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Pengaruh Kualitas Pelayanan Terhadap Kepuasan Pelanggan di Kantor Perusahaan Umum Badan Urusan Logistik Kota Sampit Kabupaten Kotawaringin Timur

Restorica Jurnal Ilmiah Ilmu Administrasi Negara dan Ilmu Komunikasi ◽

10.33084/restorica.v2i2.736 ◽

2016 ◽

Vol 2 (2) ◽

pp. 1-5

Author(s):

Masrukin Masrukin ◽

Hermanto Hermanto

Keyword(s):

Quality Of Service ◽

Customer Satisfaction ◽

Service Quality ◽

Error Rate ◽

Research Method ◽

Statistical Test ◽

Quality Factors ◽

Public Companies ◽

Public Company

Customer satisfaction is influenced by service quality factors, this study aims to find out and analyze how much influence the quality of service on customer satisfaction is felt by customers who use the service of Poor Rice (Raskin) at the Office of Public Companies Logistics Agency (Perum BULOG) in Sampit City Regency East Kotawaringin. The research method used in this study is the method of observation, questionnaire/questionnaire and documentation using a Likert scale and the method of determining the sample used is the error rate of 5% as many as 213 samples. Testing the hypothesis used is a statistical test with the formula "Product moment person". The results showed that there was a very strong correlation between Service Quality and Customer Satisfaction of the Office of Public Company of the Logistics Affairs Agency (Perum BULOG) in the District of East Kotawaringin. As much as 0.9968514278 based on the calculation of Pearson Product Moment value.

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A Universal Model for the Log-Normal Distribution of Elasticity in Polymeric Gels and Its Relevance to Mechanical Signature of Biological Tissues

Biology ◽

10.3390/biology10010064 ◽

2021 ◽

Vol 10 (1) ◽

pp. 64

Author(s):

Arnaud Millet

Keyword(s):

Elastic Modulus ◽

Normal Distribution ◽

Biological Tissues ◽

Force Microscopy ◽

Polymeric Gels ◽

Atomic Force ◽

Clear Explanation ◽

Log Normal ◽

Log Normal Distribution

The mechanosensitivity of cells has recently been identified as a process that could greatly influence a cell’s fate. To understand the interaction between cells and their surrounding extracellular matrix, the characterization of the mechanical properties of natural polymeric gels is needed. Atomic force microscopy (AFM) is one of the leading tools used to characterize mechanically biological tissues. It appears that the elasticity (elastic modulus) values obtained by AFM presents a log-normal distribution. Despite its ubiquity, the log-normal distribution concerning the elastic modulus of biological tissues does not have a clear explanation. In this paper, we propose a physical mechanism based on the weak universality of critical exponents in the percolation process leading to gelation. Following this, we discuss the relevance of this model for mechanical signatures of biological tissues.

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