An efficient adaptive modulation technique over realistic wireless communication channels based on distance and SINR
Abstract
A growing trend has been observed in recent research in wireless communication systems. However, several limitations still exist, such as packet loss, limited bandwidth and inefficient use of available bandwidth that needs further investigation and research. In light of the above limitations, this paper uses adaptive modulation under various parameters, such as signal to interference plus noise ratio (SINR), and communication channel’s distances. The primary goal is to minimize bit error rate (BER), improve throughput and utilize the available bandwidth efficiently. Additionally, the impact of Additive White Gaussian Noise (AWGN), Rayleigh and Rician fading channels on the performance of various modulation schemes are also studied. The simulation results demonstrate that our proposed technique optimally improves the BER and spectral efficiency in the long-range communication as compared to the fixed modulation schemes under the co-channel interference of surrounding base stations. The results indicate that the performance of fixed modulation schemes is suitable only either at high SINR and low distance or at low SINR and high distance values. Moreover, on the other hand, its performance was suboptimal in the entire wireless communication channel due to high distortion and attenuation. Lastly, we also noted that BER performance in the AWGN channel is better than Rayleigh and Rician channels with Rayleigh channel exhibiting poor performance than the Rician channel.
Funding source: National Natural Science Foundation of China doi.org/10.13039/501100001809
Award Identifier / Grant number: 62031014
Funding source: Key Research and Development Program of Hainan Province (China)
Award Identifier / Grant number: ZDYF2019195
Acknowledgments
This work has been supported by the National Natural Science Foundation of China and Key Research and Development Program of Hainan Province (China).
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: This work has been supported by National Natural Science Foundation of China and Key Research and Development Program of Hainan Province (China). This research was funded by the National Natural Science Foundation of China under grant 62031014 and Key Research and Development Program of Hainan Province (China) under grant ZDYF2019195.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
References
[1] R. M. Aly, A. Zaki, W. K. Badawi, and M. H. Aly, “Time coding OTDM MIMO system based on singular value decomposition for 5G applications,” Appl. Sci., vol. 9, no. 13, 2019, Art no. 2691, https://doi.org/10.3390/app9132691.Search in Google Scholar
[2] B. L. Ahlem, M. B. Dadi, and C. B. Rhaimi, “Evaluation of BER of digital modulation schemes for AWGN and wireless fading channels,” in 2015 World Congress on Information Technology and Computer Applications (WCITCA), Tunisia, Hammamet, 2015, pp. 1–5.10.1109/WCITCA.2015.7367027Search in Google Scholar
[3] Y. Sun, Q. Liu, and H. Wang, “SIR meta distribution in the heterogeneous and hybrid networks,” Wireless Commun. Mobile Comput., vol. 2020, 2020, Art no. 8856459, https://doi.org/10.1155/2020/8856459.Search in Google Scholar
[4] A. Habib and S. Moh, “wireless channel models for over-the-sea communication: a comparative study,” Appl. Sci., vol. 9, no. 3, 2019, Art no. 443, https://doi.org/10.3390/app9030443.Search in Google Scholar
[5] S. Kojima, K. Maruta, and C. J. Ahn, “Throughput maximization by adaptive switching with modulation coding scheme and frequency symbol spreading,” J. Commun. Softw. Syst., vol. 14, no. 4, pp. 332–339, 2018, https://doi.org/10.24138/jcomss.v14i4.616.Search in Google Scholar
[6] S. Yadav and S. Singh, “Review paper on development of mobile wireless technologies (1G to 5G),” Int. J. Comput. Sci. Mobile Comput., vol. 7, no. 5, pp. 94–100, 2018.Search in Google Scholar
[7] R. Gupta, T. S. Kamal and P. Singh, “Performance of OFDM: FSO communication system with hybrid channel codes during weak turbulence,” J. Comput. Netw. Commun., vol. 2019, 2019, Art no. 130649, https://doi.org/10.1155/2019/1306491.Search in Google Scholar
[8] K. K. Dubey and D. K. Srivastava, “Performance of BER analysis of MIMO system using BPSK modulation under different channel with STBC, ML and MRC,” Int. J. Innov. Res. Sci. Eng. Technol., vol. 6, no. 5, pp. 2278–1021, 2017, https://doi.org/10.17148/ijarcce.2017.6555.Search in Google Scholar
[9] D. L. Kumari and M. G. Prasad, “Error rate performance of OFDMA and MIMO technology over Rayleigh fading channel in 4G networks,” Int. J. Appl. Eng. Res., vol. 13, no. 12, pp. 10687–10689, 2018.Search in Google Scholar
[10] A. S. Jenkins, L. S. E. Alvarez, P. P. Freitas, and R. Ferreira, “Digital and analogue modulation and demodulation scheme using vortex-based spin torque nano-oscillators,” Sci. Rep., vol. 10, no. 1, pp. 1–7, 2020, https://doi.org/10.1038/s41598-020-68001-6.Search in Google Scholar PubMed PubMed Central
[11] D. S. Suresh, K. R. Vidyarani, R. Sekar, and D. V. Shalini, “Implementation of digital modulation scheme using LabVIEW: an easy and interactive approach,” In 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), Chennai, India, 2017, pp. 1545–1549.10.1109/ICPCSI.2017.8391970Search in Google Scholar
[12] G. Sadeque, “Bit error rate (BER) comparison of AWGN channels for different type’s digital modulation using MATLAB simulink,” Am. Sci. Res. J. Eng. Technol. Sci., vol. 13, no. 1, pp. 61–71, 2015.Search in Google Scholar
[13] B. O. Omijeh and I. Eyo, “Comparative study of bit error rate of different M-ary modulation techniques in AWGN channel,” Am. J. Network Commun., vol. 5, no. 5, pp. 82–90, 2016, https://doi.org/10.11648/j.ajnc.20160505.11.Search in Google Scholar
[14] S. Jain and S. Yadav, “A survey paper on digital modulation techniques,” Int. J. Comput. Sci. Eng., vol. 3, no. 12, pp. 107–111, 2015.Search in Google Scholar
[15] Q. Gao, G. Zhu, S. Lin, S. Li, and L. Xiong, “Adaptive modulation transmission in high speed railway environment with QoS provisioning,” In 2016 IEEE Wireless Communications and Networking Conference, Doha, Qatar, 2016, pp. 1–6.10.1109/WCNC.2016.7565114Search in Google Scholar
[16] W. J. Wang, H. C. Yang, and M. S. Alouini, “Energy consumption analysis for adaptive transmission of big data over fading channels: a statistical characterization,” IEEE Trans. Green Commun Netw., vol. 4, no. 2, pp. 365–374, 2020, https://doi.org/10.1109/tgcn.2019.2959077.Search in Google Scholar
[17] W. Liu, F. Wang, J. Huang, and Y. Su, “Adaptive modulation and coding techniques for GNSS inter-satellite communication based on the channel condition,” IET Commun., vol. 10, no. 16, pp. 2091–2095, 2016.10.1049/iet-com.2016.0093Search in Google Scholar
[18] T. Jaya, E. Gopinathan, and V. Rajendran, “Comparison of BER performance of various adaptive modulation schemes in OFDM systems,” Indian J. Sci. Technol., vol. 9, no. 40, pp. 1–7, 2016, https://doi.org/10.17485/ijst/2016/v9i40/99588.Search in Google Scholar
[19] W. J. Wang, H. C. Yang, and M. S. Alouini, “Wireless transmission of big data: a transmission time analysis over fading channel,” IEEE Trans. Wireless Commun., vol. 17, no. 7, pp. 4315–4325, 2018, https://doi.org/10.1109/twc.2018.2822801.Search in Google Scholar
[20] A. H. Bastami and P. Halimi, “Asymmetric adaptive modulation with symbol-based network coding for heterogeneous two-way relay network,” IEEE Trans. Commun., vol. 67, no. 9, pp. 5996–6011, 2019, https://doi.org/10.1109/tcomm.2019.2921007.Search in Google Scholar
[21] F. Yang, X. Zeng, H. Mao, X. Jian, X. Tan, and D. Du, “A novel adaptive modulation based on nondata-aided error vector magnitude in non-line-of-sight condition of wireless sensor network,” Sensors, vol. 18, no. 1, 2018, Art no. 229, https://doi.org/10.3390/s18010229.Search in Google Scholar PubMed PubMed Central
[22] P. Sangwan and M. V. Nandal, “Ber performance review of wimax mimo system,” Int. J. Adv. Res. Comput. Sci., vol. 8, no. 9, pp. 517–521, 2017, https://doi.org/10.26483/ijarcs.v8i9.5086.Search in Google Scholar
[23] O. M. Elfadil, Y. M. Alkasim, R. A. Ali, and E. Saad, “Decrease interference using adaptive modulation and coding,” In 2015 IEEE International Conference on Service Operations and Logistics and Informatics (SOLI), Yasmine Hammamet, Tunisia, 2015, pp. 128–132.10.1109/SOLI.2015.7367606Search in Google Scholar
[24] R. Khajuria, A. Sharma, P. Anand, and A. Gupta, “A brief survey on adaptive modulation and coding over time varying fading channel,” Int. J. Comput. Appl., vol. 975, pp. 16–19, 2015.Search in Google Scholar
[25] M. Haenggi, J. G. Andrews, F. Baccelli, O. Dousse, and M. Franceschetti, “Stochastic geometry and random graphs for the analysis and design of wireless networks,” IEEE J. Sel. Area. Commun., vol. 27, no. 7, pp. 1029–1046, 2009, https://doi.org/10.1109/jsac.2009.090902.Search in Google Scholar
[26] M. Haenggi, Stochastic geometry for Wireless Networks, 1st ed., New York, NY, USA, Cambridge University Press, 2012.10.1017/CBO9781139043816Search in Google Scholar
[27] H. Soury, F. Yilmaz, and M. Alouini, “Exact symbol error probability of square M-QAM signaling over generalized fading channels subject to additive generalized Gaussian noise,” In 2013 IEEE International Symposium on Information Theory, Istanbul, Turkey, 2013, pp. 51–55.10.1109/ISIT.2013.6620186Search in Google Scholar
[28] M. K. Simon and M. S. Alouini, Digital communication over Fading Channels, Third Avenue, New York, NY, USA, John Wiley & Sons, 2005.10.1002/0471715220Search in Google Scholar
[29] S. Jo, J. H. Jang, and W. Shim, “An analysis of path loss models of LTE-Maritime for mobile communication system in maritime environments,” In 2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC), Portugal, Lisbon, 2019, pp. 1–5.10.1109/WPMC48795.2019.9096094Search in Google Scholar
[30] L. Klozar and J. Prokopec, “Propagation path loss models for mobile communication,” In Proceedings of 21st International Conference Radioelektronika 2011, Brno, Czech Republic, 2011, pp. 1–4.10.1109/RADIOELEK.2011.5936478Search in Google Scholar
[31] Lasisi. Hammed, Yinusa. A. Adediran, and Anjolaoluwa. A. Ayodele, “Development of propagation path loss prediction model for mobile communications network deployment in Osogbo, Nigeria,” Eur. J. Eng. Technol. Res., vol. 2, no. 11, pp. 13–17, 2017.10.24018/ejers.2017.2.11.370Search in Google Scholar
[32] Nandal. V. Seema and D. Nandal, “Improving the BER in LTE system using various modulation techniques over different fading channel,” Int. J. Res. Technol. Stud., vol. 4, no. 8, pp. 5–9, 2017.Search in Google Scholar
[33] H. Otsuka, R. Tian, and K. Senda, “Transmission performance of an OFDM-based higher-order modulation scheme in multipath fading channels,” J. Sens. Actuator Netw., vol. 8, no. 2, 2019, Art no.19, https://doi.org/10.3390/jsan8020019.Search in Google Scholar
[34] S. Barua, Y. Rong, S. Nordholm, and P. Chen, Adaptive Modulation for Underwater Acoustic OFDM Communication, Marseille, France, OCEANS 2019, 2019, pp. 1–5.10.1109/OCEANSE.2019.8867411Search in Google Scholar
[35] A. M. Juliet and S. Jayashri, “Adaptive modulation vs fixed modulation with deterministic interleaver,” In 2015 Global Conference on Communication Technologies (GCCT), Thuckalay, India, 2015, pp. 90–94.10.1109/GCCT.2015.7342629Search in Google Scholar
[36] S. S. Hadi and T. C. Tiong, “Adaptive modulation and coding for LTE wireless communication,” IOP Conf. Ser. Mater. Sci. Eng., vol. 78, no. 1, pp. 1–6, 2015, https://doi.org/10.1088/1757-899x/78/1/012016.Search in Google Scholar
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- An efficient adaptive modulation technique over realistic wireless communication channels based on distance and SINR
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Articles in the same Issue
- Frontmatter
- Research Articles
- Ground plane and selective buried oxide based planar junctionless transistor
- Ultra wideband bandpass filters with specified relative bandwidth
- Reconfigurable bandstop filter using active frequency selective surface, design and fabrication
- 60 GHz beam-tilting coplanar slotted SIW antenna array
- Circularly polarized CPW fed MIMO/Diversity antenna for Wi-Fi and WLAN applications
- A wideband 4-port MIMO antenna supporting sub-6 GHz spectrum for 5G mobile terminals
- An octagonal ultra-wideband double slit antenna for WiMAX and WLAN rejection
- A wideband metamaterial cross polarizer conversion for C and X band applications
- Numerical modeling of electromagnetic scattering from complex shape object with coating
- An efficient adaptive modulation technique over realistic wireless communication channels based on distance and SINR
- Performance analysis of hybrid Fi-Wi network employing OCDMA based NG-PON
- Dependence of specific absorption rate and its distribution inside a homogeneous fruit model on frequency, angle of incidence, and wave polarization