Quality Improvement of Wireless Mobile Communication Systems
Pahalson Cornelius Allamis Dawap,
Biyas Alfred Zungkat,
Dung Bature
Issue:
Volume 8, Issue 2, December 2022
Pages:
15-25
Received:
5 August 2022
Accepted:
23 August 2022
Published:
29 December 2022
DOI:
10.11648/j.awcn.20220802.11
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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.
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 avail...
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