scholarly journals Joint AP Association and Bandwidth Allocation Optimization Algorithm in High-Dense WLANs

2018 ◽  
Vol 10 (8) ◽  
pp. 73
Author(s):  
Jianjun Lei ◽  
Jiarui Tao ◽  
Shanshan Yang
Keyword(s):  
Optimization Algorithm ◽  
Load Balance ◽  
Bandwidth Allocation ◽  
Access Point ◽  
Proportional Fairness ◽  
Performance Anomaly ◽  
Fair Bandwidth Allocation ◽  
Different Types ◽  
Significant Performance ◽  
And Performance

Regarding access point (AP) overload and performance anomaly which is caused by mobile terminals with different bitrates, a joint AP association and bandwidth allocation optimization algorithm is presented in this paper. Meanwhile, load balancing and proportional fairness are analyzed and formulated as an optimization model. Then, we present a Fair Bandwidth Allocation algorithm based on clients’ Business Priority (FBA-BP), which allocates bandwidth based on the bandwidth demand of clients and their business priority. Furthermore, we propose a Categorized AP Association algorithm based on clients’ demands (CAA-BD), which classifies APs by different types of clients and chooses an optimal associating AP for a new client according to AP categories and the aggregated demand transmission time that are calculated by the FBA-BP algorithm. The CAA-BD can achieve load balance and solve the performance anomaly caused by multi-rate clients coexisting. The simulation results show that our proposed algorithm obtains significant performance in terms of AP utilization, throughput, transmission delay and channel fairness in different client density levels compared with the categorized and Strong Signal First (SSF) algorithms.

scholarly journals A weighting system to build physical layer measurements maps by crowdsourcing data from smartphones

2020 ◽  
Vol 9 (3) ◽  
pp. 211
Author(s):  
Hosam Alamleh ◽  
Ali Abdullah S. AlQahtani
Keyword(s):  
Mobile Devices ◽  
Access Point ◽  
Physical Layer ◽  
Network Coverage ◽  
Wide Range ◽  
Different Types ◽  
Radio Signals ◽  
Data Points ◽  
And Performance ◽  
Map Accuracy

<p>Mobile devices can sense different types of radio signals. For example, broadcast signals. These broadcasted signals allow the device to establish a connection to the access point broadcasting it. Moreover, mobile devices can record different physical layer measurements. These measurements are an indication of the service quality at the point they were collected. These measurements data can be aggregated to form physical layer measurement maps. These maps are useful for several applications such as location fixing, navigation, access control, and evaluating network coverage and performance. Crowdsourcing can be an efficient way to create such maps. However, users in a crowdsourcing application tend to have different devices with different capabilities, which might impact the overall accuracy of the generated maps. In this paper, we propose a method to build physical layer measurements maps by crowdsourcing physical layer measurements, GPS locations, from participating mobile devices. The proposed system gives different weights to each data point provided by the participating devices based on the data source’s trustworthiness. Our tests showed that the different models of mobile devices return GPS location with different location accuracies. Consequently, when building the physical layer measurements maps our algorithm assigns a higher weight to data points coming from devices with higher GPS location accuracy. This allows accommodating a wide range of mobile devices with different capabilities in crowdsourcing applications. An experiment and a simulation were performed to test the proposed method. The results showed improvement in crowdsourced map accuracy when the proposed method is implemented.</p>

Babel

2016 ◽  
Vol 13 (4) ◽  
pp. 36-53 ◽  
Author(s):  
Moisés Quezada-Naquid ◽  
Ricardo Marcelín-Jiménez ◽  
José Luis González-Compeán
Keyword(s):  
Load Balance ◽  
Storage System ◽  
Trade Off ◽  
Data Redundancy ◽  
Storage Devices ◽  
Commodity Hardware ◽  
Allocation Procedure ◽  
Different Types ◽  
And Performance ◽  
Hardware Platforms

The Babel File System is a dependable, scalable and flexible storage system. Among its main features the authors underline the availability of different types of data redundancy, a careful decoupling between data and metadata, a middleware that enforces metadata consistency, and its own load-balance and allocation procedure which adapts to the number and capacities of the supporting storage devices. It can be deployed over different hardware platforms, including commodity hardware. The authors' proposal has been designed to allow developers to settle a trade-off between price and performance, depending on their particular applications.

Ownership Structure and Performance of Japanese Firms: Horizontal Keiretsu, Vertical Keiretsu, and Independents

2000 ◽  
Vol 03 (04) ◽  
pp. 535-556 ◽  
Author(s):  
Mel Jameson ◽  
Michael J. Sullivan ◽  
Richard L. Constand
Keyword(s):  
Group Performance ◽  
Governance Structure ◽  
Shareholder Wealth ◽  
Governance Structures ◽  
Governance System ◽  
Japanese Firms ◽  
Different Types ◽  
Significant Performance ◽  
Anglo American ◽  
And Performance

Financial economists have devoted substantial effort to describing and analyzing the governance structures of the Japanese keiretsu, or business groups, to explain how their features serve to improve group performance. The governance mechanisms described provide an informative contrast to the market based monitoring mechanisms of the Anglo-American governance system. In this paper we compare the performance of Japanese keiretsu member firms with that of independent Japanese firms, whose governance structure is more market based. We also compare the performance of different types of keiretsu group members. Two results emerge. First, we find no support for the hypothesis that the overall set of governance structures of keiretsu firms are more effective at maximizing shareholder wealth than are those of independents. In addition, we document significant performance differences among different types of group member firms.

Characteristics of Physicians Referred for a Competence Assessment: A Comparison of State Medical Board and Hospital Referred Physicians

2010 ◽  
Vol 96 (3) ◽  
pp. 8-15 ◽  
Author(s):  
Elizabeth S. Grace ◽  
Elizabeth J. Korinek ◽  
Zung V. Tran
Keyword(s):  
Clinical Competence ◽  
Competence Assessment ◽  
Average Performance ◽  
Medical Board ◽  
Key Characteristics ◽  
Different Types ◽  
Specialty Board ◽  
And Performance ◽  
State Medical Boards ◽  
State Medical Board

ABSTRACT This study compares key characteristics and performance of physicians referred to a clinical competence assessment and education program by state medical boards (boards) and hospitals. Physicians referred by boards (400) and by hospitals (102) completed a CPEP clinical competence assessment between July 2002 and June 2010. Key characteristics, self-reported specialty, and average performance rating for each group are reported and compared. Results show that, compared with hospital-referred physicians, board-referred physicians were more likely to be male (75.5% versus 88.3%), older (average age 54.1 versus 50.3 years), and less likely to be currently specialty board certified (80.4% versus 61.8%). On a scale of 1 (best) to 4 (worst), average performance was 2.62 for board referrals and 2.36 for hospital referrals. There were no significant differences between board and hospital referrals in the percentage of physicians who graduated from U.S. and Canadian medical schools. The most common specialties referred differed for boards and hospitals. Conclusion: Characteristics of physicians referred to a clinical competence program by boards and hospitals differ in important respects. The authors consider the potential reasons for these differences and whether boards and hospitals are dealing with different subsets of physicians with different types of performance problems. Further study is warranted.

An Enhanced Two Stage MMSE Equalizer for Coded FBMC/OQAM Systems

2019 ◽  
Vol 10 (1) ◽  
pp. 69-82 ◽  
Author(s):  
Mohammad Rizk Assaf ◽  
Abdel-Nasser Assimi
Keyword(s):  
Error Propagation ◽  
Channel Model ◽  
Error Correcting Codes ◽  
Two Stage ◽  
Probability Of Error ◽  
Second Stage ◽  
Different Types ◽  
Mmse Equalizer ◽  
And Performance ◽  
Ici Cancellation

In this article, the authors investigate the enhanced two stage MMSE (TS-MMSE) equalizer in bit-interleaved coded FBMC/OQAM system which gives a tradeoff between complexity and performance, since error correcting codes limits error propagation, so this allows the equalizer to remove not only ICI but also ISI in the second stage. The proposed equalizer has shown less design complexity compared to the other MMSE equalizers. The obtained results show that the probability of error is improved where SNR gain reaches 2 dB measured at BER compared with ICI cancellation for different types of modulation schemes and ITU Vehicular B channel model. Some simulation results are provided to illustrate the effectiveness of the proposed equalizer.

Alliance experience and performance outcomes: A meta-analysis

2021 ◽  
pp. 147612702098287
Author(s):  
Peng Wang ◽  
Xu Jiang ◽  
Maggie Chuoyan Dong
Keyword(s):  
Strategic Alliance ◽  
Meta Analysis ◽  
Group Analysis ◽  
Performance Outcomes ◽  
Country Level ◽  
Different Types ◽  
Performance Consequences ◽  
Controversial Topic ◽  
Alliance Experience ◽  
And Performance

Alliance experience has been a frequent topic in strategic alliance research in recent decades. Nonetheless, its performance consequences, either as a whole or differentiated into general versus partner-specific alliance experience, are neither theoretically clear nor empirically consistent. We use a range of meta-analytic techniques to integrate the empirical findings of 143 studies and provide a more conclusive assessment compared to prior research. Our study thus addresses a long-standing, understudied, and controversial topic: the distinction between the two types of alliance experiences. Going beyond traditional sub-group analysis, we reveal the contextual contingencies by examining how different types of alliance experiences and performance outcomes jointly affect the alliance experience–performance relationship. Moreover, we identify critical country-level institutional contingencies that moderate the focal effect.

scholarly journals The Ways of Knowing the Pandemic With the Help of Prompted Autoethnography

2020 ◽  
pp. 107780042096013
Author(s):  
Pille Pruulmann-Vengerfeldt
Keyword(s):  
Personal Experience ◽  
Self Care ◽  
Ways Of Knowing ◽  
Qualitative Inquiry ◽  
Global Pandemic ◽  
Different Types ◽  
And Performance

This article discusses how different forms of autoethnographic production prompted by diverse forms of academic self-expression can lead to different types of knowing. Utilizing five examples from the Massive_Microscopic project, where participants responded to 21 different prompts inviting autoethnographic reflections about COVID-19 global pandemic, the article explores the responses from the perspective of alternative ways of knowing, reflecting on questions of motherhood, self-care, and performance in academia. Whether visual, rhythmic, or text produced from the perspective of things, the different modalities of the prompts allowed unexpected knowledge to emerge and supported deeper and more colorful reflections. Exploring the personal experience with the pandemic is expanded by the qualitative inquiry supported by different (self-)expression formats.

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