| Peer-Reviewed

Quality Improvement of Wireless Mobile Communication Systems

Received: 5 August 2022     Accepted: 23 August 2022     Published: 29 December 2022
Views:       Downloads:
Abstract

Within the last two decades, communication advances have reshaped the way we live our daily lives. Wireless communication has grown from a relatively obscure service to an omnipresent technology that serves almost half of the people on Earth. Wireless communication systems designers are faced with several challenges. These include the limited availability of the radio frequency spectrum and a complex time-varying wireless environment (fading and multipath). In addition, meeting the increasing demand for higher data rates, the better quality of service (QoS), fewer dropped calls, higher network capacity and user coverage calls for innovative techniques that improve spectral efficiency and link reliability. The system employing MIMO offers a powerful paradigm for meeting these challenges. MIMO wireless is an emerging cost-effective technology system, that is used to enhance the data transfer rates both at device and network levels. It incorporates multiple antennas both the transmitter and receiver end in a wireless system, popularly known as space-time (ST) wireless or multiantenna communications or smart antennas technology to accommodate more data and ultimately leads to improvements in these measures. This paper presents a Quality improvement of wireless mobile communication systems that leads to the emergence of new ideas and techniques to increase performance in terms of reliability, spectral efficiency, and improved radiated energy efficiency. The use of a large number of antennas results in high throughput, increased spectral efficiency per unit area, enhanced diversity, and compensation for the path loss of the existing and future mobile networks. In this paper, we review and analyze two types of antennas theoretically and practically to have a clear view regarding how the signals are processed in all the two types and what are the advantages and limitations of using each of them, and what are the limitations in SISO, which makes the MIMO technique the most suitable among the two. Also, we have compared all of them practically using BER (comparison parameter) to support the theoretical analysis. Based on the analysis obtained we can derive that MIMO provides the next major leap forward for wireless communications and has led this technology to become the next frontier of wireless communications. As a result, it has received the attention not only of the international R&D community but also of the wireless communications industry.

Published in Advances in Wireless Communications and Networks (Volume 8, Issue 2)
DOI 10.11648/j.awcn.20220802.11
Page(s) 15-25
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Adaptive Antenna, Interference, Phased Array, QoS, Signal Propagation, Smart Antennas, Multiple-input Multiple-output (MIMO) Systems

References
[1] Stern, H. P. E, and Mahmoud, S. A. Communication Systems: Analysis and Design, Pearson Prentice-Hall, 2004.
[2] Cox, D. C. “Wireless Personal Communications: A Perspective.” A Book Chapter on the Mobile Communications Handbook. 2nd Ed., J. D. Gibson (Editor). CRC Press and the IEEE Press. Pp. 15-1 – 15-49, 1999.
[3] Palantei, E. “Performance Evaluation of Turbo Transmit Diversity for Mobile Communication Systems Over the Frequency Non-Selective Fading Channel.” Research Report of Master Degree at Telecommunication Program, Asian Institute of Technology (AIT), Bangkok. December 2001.
[4] Palantei, E. “Wireless Communication with Turbo Transmit Diversity (TTD) Scheme: System and Channel Model,” Proceedings of Asia Pacific Conference on Communications (APCC), Bandung, Indonesia. ISSN: 1412-7121. Pp. 5-9, 2002.
[5] Lehne, P. H. An overview of smart antenna technology for mobile communications systems. IEEE Comm. Surveys, Fourth Quarter, 2 (4). 1999.
[6] Blogh, J. S., Blogh, J., & Hanzo, L. L. Third-generation systems and intelligent wireless networking: smart antennas and adaptive modulation. John Wiley & Sons, 2002.
[7] Foschini, G. J. “Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas,” Bell Syst. Tech. J., vol. 1, no. 2, pp. 41–59, Autumn 1996.
[8] Tarokh V, Seshadri, N, and A. R. Calderbank, A. R. “Space-time codes for high data rate wireless communication: Performance criterion and chord construction,” IEEE Trans. Inform. Theory, vol. 44, pp. 744–765, Mar. 1998.
[9] International Engineering Consortium, Smart Antenna Systems, an online tutorial found on http://www.iec.org/online/tutorials/smart ant/index.html
[10] B. Patten, B. Robust Modulation Methods & Smart Antennas in Wireless Communications, Prentice Hall PTR, Upper Saddle River, NJ, 2000.
[11] Janaswamy, R. Radiowave Propagation and Smart Antennas for Wireless Communications, Kluwer Academic Publishers, Norwell, MA, 2001.
[12] Bertoni, H. L. Radio Propagation for Modern Wireless Systems, Prentice-Hall, Upper Saddle River, NJ. 2000.
[13] Jain R. K Agarwal H. C, Risal Singh” Applying the intelligent cell concept in cellular networks and communication systems”, National seminar proceeding, Academy of Business & Engineering Sciences, Ghaziabad, pp-41-48, 16-17th January 2009.
[14] Jain, R. K and Risal Singh “Applying the Intelligent Cell Concept for combining the Problem of Multi-Path Fading Effects &Optimum Frequency Utilization”, National Seminar Proceedings on Emerging Trends in Software and Networking Technology, Amity Institute of Information Technology Noida, pp. 246-251, 17-18th April 2009.
[15] Martin Cooper and Marc Goldberg” Intelligent Antennas: Spatial Division Multiple Access” Annual Review of Communications, 1996.
[16] Rameshwar Kawitkar” Issues in Deploying Smart Antennas in Mobile Radio Networks” Proceedings of World Academy of Science, Engineering and Technology Vol 31 July 2008, ISSN 2070-3740.
[17] Jain, Himanshi, and Vikas Nandal. "A comparison of various channel estimation techniques to improve fading effects in MIMO over different fading channels." International Journal of Current Engineering and Technology (IJCET) 6.4 (2016): 1382-1386.
[18] Niroopan, Pararajasingam, Kasun Bandara, and Yeon-ho Chung. "A High Performance and Bandwidth Efficient IDMA Scheme with Large Receiver MIMO Technologies." Advances in Computer Science and its Applications. Springer, Berlin, Heidelberg, 2014. 459-465.
[19] Bliss, D. W., Forsythe, K. W., and Chan, A. M., (2005). “MIMO wireless communication “Lincon Laboratory Journal, vol. 15, no. 1, pp 97-126.
[20] Li, G. Y., Niu, J., Lee, D., Fan, J., & Fu, Y. Multi-cell coordinated scheduling and MIMO in LTE. IEEE Communications Surveys & Tutorials, 16 (2), 761–775, 2014.
[21] D. W. Bliss, K. W. Forsythe, and A. M. Chan, “MIMO wireless communication,” Lincoln Laboratory Journal, vol. 15, no. 1, pp. 97–126, 2005.
[22] Björnson, Emil, Erik G. Larsson, and Thomas L. Marzetta. "Massive MIMO: Ten myths and one critical question." IEEE Communications Magazine 54.2 (2016): 114-123.
[23] Poudel, Khem Narayan, and Shankar Gangaju. "Spectral efficiency, diversity gain, and multiplexing capacity analysis for massive MIMO, 5g communications system." 2017 International Conference on Networking and Network Applications (NaNA). IEEE, 2017.
[24] Lu, Lu, et al. "An overview of massive MIMO: Benefits and challenges." IEEE Journal of selected topics in signal processing 8.5 (2014): 742-758.
[25] Rusek, Fredrik, et al. "Scaling up MIMO: Opportunities and challenges with very large arrays." IEEE signal processing magazine 30.1 (2012): 40-60.
[26] ShahabSanayei and Aria Nosratinia,(2003) “Antenna Selection in MIMO Systems”, University of Texas at Dallas, IEEE Communications Magazine.
[27] Ajay R. Mishra (2018). Fundamentals of Network Planning and Optimization 2G/3G/4G: Evolution to 5G, Second Edition. John Wiley & Sons Ltd. Published 2018 by John Wiley & Sons Ltd.
[28] Sharma, Vishal, and Harleen Kaur. "On BER evaluation of MIMO-OFDM incorporated wireless system." Optik 127.1 (2016): 203-205.
[29] Rashid, Mamunur, and Saddam Hossain (2015). "A Potent MIMO–OFDM System Designed for Optimum BER and its Performance Analysis in AWGN Channel." International Journal of Engineering Science Invention (IJESI) 4.8: 44-50.
Cite This Article
  • APA Style

    Pahalson Cornelius Allamis Dawap, Biyas Alfred Zungkat, Dung Bature. (2022). Quality Improvement of Wireless Mobile Communication Systems. Advances in Wireless Communications and Networks, 8(2), 15-25. https://doi.org/10.11648/j.awcn.20220802.11

    Copy | Download

    ACS Style

    Pahalson Cornelius Allamis Dawap; Biyas Alfred Zungkat; Dung Bature. Quality Improvement of Wireless Mobile Communication Systems. Adv. Wirel. Commun. Netw. 2022, 8(2), 15-25. doi: 10.11648/j.awcn.20220802.11

    Copy | Download

    AMA Style

    Pahalson Cornelius Allamis Dawap, Biyas Alfred Zungkat, Dung Bature. Quality Improvement of Wireless Mobile Communication Systems. Adv Wirel Commun Netw. 2022;8(2):15-25. doi: 10.11648/j.awcn.20220802.11

    Copy | Download

  • @article{10.11648/j.awcn.20220802.11,
      author = {Pahalson Cornelius Allamis Dawap and Biyas Alfred Zungkat and Dung Bature},
      title = {Quality Improvement of Wireless Mobile Communication Systems},
      journal = {Advances in Wireless Communications and Networks},
      volume = {8},
      number = {2},
      pages = {15-25},
      doi = {10.11648/j.awcn.20220802.11},
      url = {https://doi.org/10.11648/j.awcn.20220802.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.awcn.20220802.11},
      abstract = {Within the last two decades, communication advances have reshaped the way we live our daily lives. Wireless communication has grown from a relatively obscure service to an omnipresent technology that serves almost half of the people on Earth. Wireless communication systems designers are faced with several challenges. These include the limited availability of the radio frequency spectrum and a complex time-varying wireless environment (fading and multipath). In addition, meeting the increasing demand for higher data rates, the better quality of service (QoS), fewer dropped calls, higher network capacity and user coverage calls for innovative techniques that improve spectral efficiency and link reliability. The system employing MIMO offers a powerful paradigm for meeting these challenges. MIMO wireless is an emerging cost-effective technology system, that is used to enhance the data transfer rates both at device and network levels. It incorporates multiple antennas both the transmitter and receiver end in a wireless system, popularly known as space-time (ST) wireless or multiantenna communications or smart antennas technology to accommodate more data and ultimately leads to improvements in these measures. This paper presents a Quality improvement of wireless mobile communication systems that leads to the emergence of new ideas and techniques to increase performance in terms of reliability, spectral efficiency, and improved radiated energy efficiency. The use of a large number of antennas results in high throughput, increased spectral efficiency per unit area, enhanced diversity, and compensation for the path loss of the existing and future mobile networks. In this paper, we review and analyze two types of antennas theoretically and practically to have a clear view regarding how the signals are processed in all the two types and what are the advantages and limitations of using each of them, and what are the limitations in SISO, which makes the MIMO technique the most suitable among the two. Also, we have compared all of them practically using BER (comparison parameter) to support the theoretical analysis. Based on the analysis obtained we can derive that MIMO provides the next major leap forward for wireless communications and has led this technology to become the next frontier of wireless communications. As a result, it has received the attention not only of the international R&D community but also of the wireless communications industry.},
     year = {2022}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Quality Improvement of Wireless Mobile Communication Systems
    AU  - Pahalson Cornelius Allamis Dawap
    AU  - Biyas Alfred Zungkat
    AU  - Dung Bature
    Y1  - 2022/12/29
    PY  - 2022
    N1  - https://doi.org/10.11648/j.awcn.20220802.11
    DO  - 10.11648/j.awcn.20220802.11
    T2  - Advances in Wireless Communications and Networks
    JF  - Advances in Wireless Communications and Networks
    JO  - Advances in Wireless Communications and Networks
    SP  - 15
    EP  - 25
    PB  - Science Publishing Group
    SN  - 2575-596X
    UR  - https://doi.org/10.11648/j.awcn.20220802.11
    AB  - Within the last two decades, communication advances have reshaped the way we live our daily lives. Wireless communication has grown from a relatively obscure service to an omnipresent technology that serves almost half of the people on Earth. Wireless communication systems designers are faced with several challenges. These include the limited availability of the radio frequency spectrum and a complex time-varying wireless environment (fading and multipath). In addition, meeting the increasing demand for higher data rates, the better quality of service (QoS), fewer dropped calls, higher network capacity and user coverage calls for innovative techniques that improve spectral efficiency and link reliability. The system employing MIMO offers a powerful paradigm for meeting these challenges. MIMO wireless is an emerging cost-effective technology system, that is used to enhance the data transfer rates both at device and network levels. It incorporates multiple antennas both the transmitter and receiver end in a wireless system, popularly known as space-time (ST) wireless or multiantenna communications or smart antennas technology to accommodate more data and ultimately leads to improvements in these measures. This paper presents a Quality improvement of wireless mobile communication systems that leads to the emergence of new ideas and techniques to increase performance in terms of reliability, spectral efficiency, and improved radiated energy efficiency. The use of a large number of antennas results in high throughput, increased spectral efficiency per unit area, enhanced diversity, and compensation for the path loss of the existing and future mobile networks. In this paper, we review and analyze two types of antennas theoretically and practically to have a clear view regarding how the signals are processed in all the two types and what are the advantages and limitations of using each of them, and what are the limitations in SISO, which makes the MIMO technique the most suitable among the two. Also, we have compared all of them practically using BER (comparison parameter) to support the theoretical analysis. Based on the analysis obtained we can derive that MIMO provides the next major leap forward for wireless communications and has led this technology to become the next frontier of wireless communications. As a result, it has received the attention not only of the international R&D community but also of the wireless communications industry.
    VL  - 8
    IS  - 2
    ER  - 

    Copy | Download

Author Information
  • Department of Science, School of Science and Technology, Plateau State Polytechnic, Barkin Ladi, Nigeria

  • Department of Electrical, Electronic Engineering, School of Engineering, Plateau State Polytechnic, Barkin Ladi, Nigeria

  • Department of Physics, Industrial Physics, Faculty of Natural Science, Plateau State University, Bokkos, Nigeria

  • Sections