Reduction of BER in cellular network to enhance the performance using adaptive antenna technique
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Full Text |
Pdf
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Author |
D. Damodaram
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e-ISSN |
1819-6608 |
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On Pages
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8-16
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Volume No. |
18
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Issue No. |
01
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Issue Date |
February 10, 2023
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DOI |
https://doi.org/10.59018/012315
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Keywords |
bit error rate, recursive least square (rls) algorithm, direct matrix inverse (dmi) algorithm, modified least mean square.
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Abstract
In this paper, the main attention is on the Reduction of Bit Error Rate (BER) in Cellular networks to enhance the performance using an adaptive antenna method. To accomplish this, the Least Mean Square (LMS) method is adopted. The enormous progression in technology and complexity was witnessed because of the increase in demand for services. In wireless transmission, performance degradation would be observed in the signal transmission and reception due to a high degree of error occurrences. By conducting a driving test the performance of the network is evaluated by measuring the BER. From the results, it is found that the Modified Least Mean Square (MLMS) algorithm generated the lowest BER, equal to 0.0004142, which is very low compared to that of the BER from the driving test. Here in this paper, it is concluded that the MLMS method gave the improved performance along with the lowest BER value that too most effectively reduced than LMS method ensuring improved spectrum usage and optimized channel capacity. This work resulted in the enhancement of the current cellular network, and further work should be done to improve its application in both the horizontal and vertical azimuth directions.
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