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International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)
Generalized Power Allocation (GPA) Scheme for Non-Orthogonal Multiple
Access (NOMA) Based Wireless Communication System
Tofail Ahmed1, Rubaiyat Yasmin2, Halida Homyara2 and M.A.F.M Rashidul Hasan2,
1Bangladesh Army University of Engineering and Technology, Bangladesh and
2University of Rajshahi, Bangladesh
A Survey of Employers’ Needs for Technical and Soft Skills Among
New Graduates
Christopher Scaffidi,
Oregon State University, US
International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)
This paper presents a Generalized Power Allocation (GPA) scheme for different users in Non-
Orthogonal Multiple Access (NOMA) based wireless communication system. The power
allocation to the users becomes complex with the increased number of users. There are some
conventional schemes for power allocation in NOMA but they have to optimize some
parameters arbitrarily. In this paper, a simple but effective power allocation scheme has been
formulated and tested by simulations. The proposed GPA scheme does not need any parameter
adjustment. Theoretical power distribution to different users of NOMA has been calculated
using the proposed GPA technique. The calculated powers of individual users with the
proposed scheme are different and more distributed than the arbitrary power allocation scheme
which satisfies the basic condition of NOMA. The total of calculated powers with GPA
scheme shows only 01% variation with the arbitrary power allocation scheme which shows the
consistency of GPA scheme with other schemes. The performance of NOMA based wireless
communication system with GPA scheme has been simulated under various conditions using
Matlab. The simulated BER performance for NOMA based wireless communication system
using different modulation techniques show similar results with other conventional schemes
which validates the formulation of GPA scheme.
 BER
 power allocation
 OFDMA
 NOMA
 FTPA
 GPA
 fairness index
The rapid growth of innovations in information and communication technology area has greatly
emphasized the wireless communication experience of current generation. In future, new generation
are expected to be surrounded by smart objects in smart homes, offices, streets, and cities in the
smart world [1]. Researchers and network service providers face many challenges due to the
exponential growth of data traffic and connected devices. In this context, we need to improve
network performance in terms of throughput and capacity, or number of users. However, the radio
resources, the wireless spectrum and transmit power are limited and current wireless communication
technologies are struggling to accommodate such increase in the traffic demand within the available
resources. The technologies and new ideas are needed to improve the capacity and to provide high
data rate. At multi-carrier wireless communication systems, Orthogonal Frequency Division
Multiplexing (OFDM) has been widely adopted based on its advantage of transforming a frequency
selective fading channel into a number of narrowband flat fading sub channels. Wireless multiple
access technique can be realized in two ways: Orthogonal Frequency Division Multiple Access
(OFDMA) [2] and Non-Orthogonal Multiple Access (NOMA) [3]. In view of increasing the spectral
efficiency of the next generation networks and reduction of inter cell interference levels, NOMA
technique seems to be promising [4]. All the users in NOMA use the same time and frequency
resources which results in improved spectralefficiency but power is different for all users. Hence
NOMA is a power domain multiplexing scheme [5]. However there are many challenges in NOMA to
transmit the signal in efficient ways. One of them is to handle the power allocation of different users
in efficient ways; hence we focused on power allocation technique for NOMA. Because in NOMA
system, the frequency spectrum is not divided likes OFDMA. Rather the frequency is same but the
power is different for different users in NOMA based wireless communication system. The
application of NOMA for 5G communication is being studied [6-8] and explored.
International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)
International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)
Power allocation need to be effectively addressed for NOMA. In this paper, we have
proposed a Generalized Power Allocation (GPA) scheme which is simple but
effective. GPA scheme does not need to use any arbitrary value for power
calculation of different users and the calculated powers are distinguishably different
for different users. We demonstrated by calculation and simulation that GPA scheme
satisfies the conditions and prerequisites of basic NOMA design. The calculated
total power using GPA scheme in NOMA based wireless communication system
shows only 01% variation than the arbitrary power calculation for multiple users.
The simulation results show that GPA scheme performs in a similar way to other
conventional power allocation schemes for NOMA. Therefore this simple GPA
scheme is targeted to address the challenge of power allocation in NOMA and can
enhance its performance for future wireless communication. Though the BER
performance of GPA scheme is compatible with other conventional power
allocation schemes for NOMA, the overall BER performance is needed to be
improved for future wireless communication system. Therefore, our future target is
to accomplish an effective BER minimization technique for NOMA based wireless
communication system.
International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)
International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)
Motivated by concern about the ability of graduates to succeed in the workforce,
universities frequently conduct surveys of local and regional employers, to
understand those companies’ expectations. These can uncover specific needs not
being addressed. Following a similar line of inquiry, prior research at Oregon
State University interviewed employers, with the aim of identifying skills of
concern. The current paper takes this research another step further by presenting
a survey-based study aimed at quantifying the prevalence and level of employers’
desire for workers who have these identified skills. Although all skills were rated
as moderately useful or better, most soft skills scored higher than most technical
skills. Nonetheless, three technical skills (source code versioning, testing and agile
methods) scored approximately as well as the soft skills; these three technical
skills, like soft skills, were cross-cutting and applicable to more than one software
development context. Further survey questions revealed that employers preferred
that, to the extent that students focus on building technical skill, these learning
experiences ideally should involve creating software that students can use as
evidence of their qualifications.
Computer science education
Software engineering education
Information technology education
 Software Developers Recently Graduated From College Frequently Need To Learn And
Improve A Range Of Skills, Even After Obtaining Their First Jobs [1, 2, 3, 4]. While Some
Gaps In Expertise Relate To Soft Skills And Associated Personal Attributes, Such As Those
Related To Communication And Collaboration [1, 4], While Others Relate To Technical
Skills Such As Source Code Control, Testing, And Specific Programming Languages [1, 4, 5].
Such Limitations In Recent Graduates’ Abilities Can Hamper Their Comfort And
Productivity [6].
 Motivated By Concern About The Ability Of Graduates To Succeed In The Workforce,
Universities Frequently Conduct Surveys Of Local And Regional Employers, To Understand
Those Companies’ Expectations. These Can Uncover Specific Needs Not Being Addressed.
For Example, Research In The United Kingdom Found That Web-Based Programming
Skills Were Of High Importance [7], Research With North Dakota State University’s
Employer Contacts Revealed The Need For Students To Do More Realistic Projects Before
They Graduated [8], Research In Australia Highlighted The Need For More Business-
Related Knowledge [9]. The Mismatch Between Identified Skills And University Curricula
Has Aided In Identifying Opportunities For Improving Curricula By Creating, Expanding
Or Reordering Courses [9, 10].
International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)
International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)
 In short, this study has provided additional insight into what it means to train work-ready
graduates, with an emphasis noted above on development of soft skills and manifestation of
technical skills in actual source code and working software.
 The findings of prior studies (Section 5) are consistent with those of the current study, which
alsoadds to the literature by providing quantitative evidence about the relative importance of
different evidence signals. In particular, as shown in Figures 5 and 6, the current survey
revealed a clear progression of importance: evidence from the abstract academic setting (e.g.,
transcripts) was least persuasive, descriptive evidence of prior work (e.g., references and
resume) was moderately persuasive, and direct concrete materials derived from project work
(e.g., working software and source code) was most persuasive.
 Taken together, all the results from the survey and the interviews suggest that training work-
ready graduates involves cultivating a drive to learn and other soft skills/attributes at least as
much as it involves giving students technical skills. Advanced degrees, such as the Master’s and
PhD, in particular, are at risk of providing little additional value unless if they reinforce these
skills and attributes. And, to the extent that students at all levels build technical skill, they
should do so in a way that manifests expertise through practical experiences creating software
that they can use as evidence of their qualifications.
International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)
http://airccse.org/journal/ijcseit/current.html

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International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)

  • 2. Generalized Power Allocation (GPA) Scheme for Non-Orthogonal Multiple Access (NOMA) Based Wireless Communication System Tofail Ahmed1, Rubaiyat Yasmin2, Halida Homyara2 and M.A.F.M Rashidul Hasan2, 1Bangladesh Army University of Engineering and Technology, Bangladesh and 2University of Rajshahi, Bangladesh A Survey of Employers’ Needs for Technical and Soft Skills Among New Graduates Christopher Scaffidi, Oregon State University, US
  • 4. This paper presents a Generalized Power Allocation (GPA) scheme for different users in Non- Orthogonal Multiple Access (NOMA) based wireless communication system. The power allocation to the users becomes complex with the increased number of users. There are some conventional schemes for power allocation in NOMA but they have to optimize some parameters arbitrarily. In this paper, a simple but effective power allocation scheme has been formulated and tested by simulations. The proposed GPA scheme does not need any parameter adjustment. Theoretical power distribution to different users of NOMA has been calculated using the proposed GPA technique. The calculated powers of individual users with the proposed scheme are different and more distributed than the arbitrary power allocation scheme which satisfies the basic condition of NOMA. The total of calculated powers with GPA scheme shows only 01% variation with the arbitrary power allocation scheme which shows the consistency of GPA scheme with other schemes. The performance of NOMA based wireless communication system with GPA scheme has been simulated under various conditions using Matlab. The simulated BER performance for NOMA based wireless communication system using different modulation techniques show similar results with other conventional schemes which validates the formulation of GPA scheme.
  • 5.  BER  power allocation  OFDMA  NOMA  FTPA  GPA  fairness index
  • 6. The rapid growth of innovations in information and communication technology area has greatly emphasized the wireless communication experience of current generation. In future, new generation are expected to be surrounded by smart objects in smart homes, offices, streets, and cities in the smart world [1]. Researchers and network service providers face many challenges due to the exponential growth of data traffic and connected devices. In this context, we need to improve network performance in terms of throughput and capacity, or number of users. However, the radio resources, the wireless spectrum and transmit power are limited and current wireless communication technologies are struggling to accommodate such increase in the traffic demand within the available resources. The technologies and new ideas are needed to improve the capacity and to provide high data rate. At multi-carrier wireless communication systems, Orthogonal Frequency Division Multiplexing (OFDM) has been widely adopted based on its advantage of transforming a frequency selective fading channel into a number of narrowband flat fading sub channels. Wireless multiple access technique can be realized in two ways: Orthogonal Frequency Division Multiple Access (OFDMA) [2] and Non-Orthogonal Multiple Access (NOMA) [3]. In view of increasing the spectral efficiency of the next generation networks and reduction of inter cell interference levels, NOMA technique seems to be promising [4]. All the users in NOMA use the same time and frequency resources which results in improved spectralefficiency but power is different for all users. Hence NOMA is a power domain multiplexing scheme [5]. However there are many challenges in NOMA to transmit the signal in efficient ways. One of them is to handle the power allocation of different users in efficient ways; hence we focused on power allocation technique for NOMA. Because in NOMA system, the frequency spectrum is not divided likes OFDMA. Rather the frequency is same but the power is different for different users in NOMA based wireless communication system. The application of NOMA for 5G communication is being studied [6-8] and explored.
  • 9. Power allocation need to be effectively addressed for NOMA. In this paper, we have proposed a Generalized Power Allocation (GPA) scheme which is simple but effective. GPA scheme does not need to use any arbitrary value for power calculation of different users and the calculated powers are distinguishably different for different users. We demonstrated by calculation and simulation that GPA scheme satisfies the conditions and prerequisites of basic NOMA design. The calculated total power using GPA scheme in NOMA based wireless communication system shows only 01% variation than the arbitrary power calculation for multiple users. The simulation results show that GPA scheme performs in a similar way to other conventional power allocation schemes for NOMA. Therefore this simple GPA scheme is targeted to address the challenge of power allocation in NOMA and can enhance its performance for future wireless communication. Though the BER performance of GPA scheme is compatible with other conventional power allocation schemes for NOMA, the overall BER performance is needed to be improved for future wireless communication system. Therefore, our future target is to accomplish an effective BER minimization technique for NOMA based wireless communication system.
  • 12. Motivated by concern about the ability of graduates to succeed in the workforce, universities frequently conduct surveys of local and regional employers, to understand those companies’ expectations. These can uncover specific needs not being addressed. Following a similar line of inquiry, prior research at Oregon State University interviewed employers, with the aim of identifying skills of concern. The current paper takes this research another step further by presenting a survey-based study aimed at quantifying the prevalence and level of employers’ desire for workers who have these identified skills. Although all skills were rated as moderately useful or better, most soft skills scored higher than most technical skills. Nonetheless, three technical skills (source code versioning, testing and agile methods) scored approximately as well as the soft skills; these three technical skills, like soft skills, were cross-cutting and applicable to more than one software development context. Further survey questions revealed that employers preferred that, to the extent that students focus on building technical skill, these learning experiences ideally should involve creating software that students can use as evidence of their qualifications.
  • 13. Computer science education Software engineering education Information technology education
  • 14.  Software Developers Recently Graduated From College Frequently Need To Learn And Improve A Range Of Skills, Even After Obtaining Their First Jobs [1, 2, 3, 4]. While Some Gaps In Expertise Relate To Soft Skills And Associated Personal Attributes, Such As Those Related To Communication And Collaboration [1, 4], While Others Relate To Technical Skills Such As Source Code Control, Testing, And Specific Programming Languages [1, 4, 5]. Such Limitations In Recent Graduates’ Abilities Can Hamper Their Comfort And Productivity [6].  Motivated By Concern About The Ability Of Graduates To Succeed In The Workforce, Universities Frequently Conduct Surveys Of Local And Regional Employers, To Understand Those Companies’ Expectations. These Can Uncover Specific Needs Not Being Addressed. For Example, Research In The United Kingdom Found That Web-Based Programming Skills Were Of High Importance [7], Research With North Dakota State University’s Employer Contacts Revealed The Need For Students To Do More Realistic Projects Before They Graduated [8], Research In Australia Highlighted The Need For More Business- Related Knowledge [9]. The Mismatch Between Identified Skills And University Curricula Has Aided In Identifying Opportunities For Improving Curricula By Creating, Expanding Or Reordering Courses [9, 10].
  • 17.  In short, this study has provided additional insight into what it means to train work-ready graduates, with an emphasis noted above on development of soft skills and manifestation of technical skills in actual source code and working software.  The findings of prior studies (Section 5) are consistent with those of the current study, which alsoadds to the literature by providing quantitative evidence about the relative importance of different evidence signals. In particular, as shown in Figures 5 and 6, the current survey revealed a clear progression of importance: evidence from the abstract academic setting (e.g., transcripts) was least persuasive, descriptive evidence of prior work (e.g., references and resume) was moderately persuasive, and direct concrete materials derived from project work (e.g., working software and source code) was most persuasive.  Taken together, all the results from the survey and the interviews suggest that training work- ready graduates involves cultivating a drive to learn and other soft skills/attributes at least as much as it involves giving students technical skills. Advanced degrees, such as the Master’s and PhD, in particular, are at risk of providing little additional value unless if they reinforce these skills and attributes. And, to the extent that students at all levels build technical skill, they should do so in a way that manifests expertise through practical experiences creating software that they can use as evidence of their qualifications.

Editor's Notes

  • #12: A SURVEY OF EMPLOYERS’ NEEDS FOR TECHNICAL AND SOFT SKILLS AMONG NEW GRADUATES