Comparative Analysis of QAM Modulation Techniques over AWGN and Fading Channels

Abstract:

Although, most researchers focus on some of the key components of good digital wireless communications which are the Bit Error Rate (BER) versus Signal to Noise Ratio (SNR) of modulation schemes. Energy consumption optimization is necessary for enhancing the performance of a wireless communication system as it offers numerous advantages to the system and the users. Therefore, this research focuses on analyzing the efficiency in the performance of the various QAM Modulation Schemes (4QAM, 16QAM, 32QAM & 64QAM) as they travel over noise/fading channels with the quest to obtain an energy-efficient scheme which will enhance system performance in terms of system runtime and quality of service. The efficiency of any given process, operation, or device is rated per the energy it consumes in carrying out an activity per unit output. Hence, the objective of this research work is to study and analyze comparatively the efficiency of these modulation schemes and to conclude with the most efficient scheme over the various channels. The evaluation of the Bit Error Rate (BER) versus energy per bit to noise spectral density (EbNo) for each communication scenario was carried out in MATLAB.

• Periodical: Advances in Science and Technology (Volume 107)
• Pages: 194-200
• DOI: https://doi.org/10.4028/www.scientific.net/AST.107.194
• Online since: June 2021
• Authors: Theman Ibrahim Jirnadu*, Adeyemi Abel Ajibesin, Ahmed T. Ishaq
• Keywords: AWGN, Fading Channel, QAM, Rician, Technical Efficiency

References

[1] K.,. D. Acharya, Comparative Analysis of Different Modulation Techniques of LTE Network,, Third intenational conference on computer, communication, control & information technology, p.6, (2015).

DOI: 10.1109/c3it.2015.7060144

[2] K. Pandya, comparative study on wireless Technology: 1G, 2G, 3G, 4G & 5G,, International Journal of Recent Tends in Engineering & Research, vol. 1, no. 1, p.5, (2015).

[3] S. &. K. Patel, comparative study of 2G, 3G & 4G,, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3, no. 3, p.3, (2018).

[4] R. Arshad, Performance Assessment of Orthogonal Frequeny Division Multiplexing (OFDM) in Wireless Communication System,, International Journal of Applied Engineering Research, vol. 11, p.9, (2016).

[5] Q.-A. Dharma, Introduction to Wireless and Mobile Systems, United State: CENGAGE, (2011).

[6] H. A. Carnes, The use of data envelopment analysis for evaluating building energy consumption in terms of productivity,, US department of energy, office of science & technical information, p.12, (1998).

[7] D. &. Tugcu, energy efficiency in energy production:data envelopment analysis (DEA) approach for the G-20 countries.,, international journal of energy economics and policy, vol. 5, no. 1, p.7, (2015).

[8] O. &. k. Kogias, comparative performance evaluation of m-ary QAM modulation shemes using simulink and BERTool,, ARPN Journal of Engineering and Applied science, vol. 12, p.7, (2017).

[9] A. Oyetunji, performance evaluation of digital modulation techniques in AWGN communication channel,, International Journal of Engineering Research & Technology , vol. 2, no. 5, p.7, (2013).

[10] D. &. Nishat, performance evaluation of digital modulation schemes BPSK, QPSK & QAM,, international journal of engineering and techniques, vol. 3, no. 2, p.4, (2017).

[11] B. &. Rao, evaluation of BER for AWGN , Rayleigh and Rician fading channels under various modulation schemes,, international journal of computer appliance, vol. 26, no. 9, p.6, (2011).

DOI: 10.5120/3132-4317

[12] P. &. Chitra, performance evaluation of energy efficient modulation scheme and hop distance estimation for WSN,, international journal of communication network and security, vol. 2, no. 1, p.6, (2010).

[13] Mahalakshmi, performance evaluation of various digital modulation schemes for an efficient wireless mobile communication system,, international research journal of engineering and technology, vol. 5, no. 9, p.4, (2018).

[14] M. Zodpe, performance analysis of different modulation shemes using Wi-MAX and LTE,, international research journal of engineering and technology, vol. 4, no. 7, p.9, (2017).

[15] Y. &. Abdelfattah, performance evaluation of different QAM techniques using Matlab/simulink,, long island systems, applications and tchnology, p.5, (2013).

DOI: 10.1109/lisat.2013.6578237

[16] O. &. I. Ndujiuba, comparative analysis of digital modulation techniques in LTE 4G systems,, Journal of wireless networking and communications, p.7, (2015).

[17] V.M.C. Ajibesin, Data envelopment analysis with slacks model for energy efficient multicast over coded packet wireless networks,, The Institution of Engineering and Technology Science, Measurement and Technology, p.12, (2014).

DOI: 10.1049/iet-smt.2013.0195

[18] Mathworks: MATLAB and Simulink user community https://www.mathworks.com/.

[19] GausGaussianWaves: Signal Processing Simplified https://www.gaussianwaves.com/.