Muthanna Journal of Engineering and Technology
Volume (12), Issue (2), Year (30 December 2024), Pages (62-72)
DOI:10.52113/3/eng/mjet/2024-12-02/62-72
Research Article By:
Nabil Abdulwahab Abdulrazaq Baban
Corresponding author E-mail: nabilrazzak@yahoo.com
ABSTRACT
Wireless communication networks often face challenges from carrier and symbol interference, leading to degraded signal quality and reduced data transmission efficiency. This interference occurs due to overlapping signals and multipath propagation, creating challenges in maintaining reliable communication. To address this, Orthogonal Frequency Division Multiple Access (OFDMA) technology can be utilized. By dividing the available spectrum into multiple orthogonal subcarriers, OFDMA reduces interference between symbols and carriers. However, current methods can be further improved through innovative techniques, such as dynamic subcarrier allocation, adaptive modulation, and advanced error correction algorithms, enhancing network performance and minimizing interference in diverse environments. OFDMA surpasses traditional techniques by reducing interference through orthogonal subcarriers, preventing signal overlap. Its dynamic resource allocation optimizes frequency usage, while adaptive modulation like Phase Shift Keying (PSK), and Quadrature Amplitude Modulation (QAM) adjusts to varying channel conditions. These factors collectively enhance signal quality, improve spectral efficiency, and minimize interference compared to conventional methods like FDMA or Time Division Multiple Access (TDMA). This paper introduces a novel approach to enhancing OFDMA by integrating advanced techniques like dynamic subcarrier allocation, adaptive modulation, and improved error correction. These innovations reduce carrier and symbol interference more effectively, optimize spectrum usage, and significantly improve signal quality and network efficiency in diverse wireless environments. Simulation and analysis results show the capacity of OFDMA over traditional techniques in reducing levels of interference and improving the quality of a signal. These findings underscore the great promise of OFDMA in redefining wireless communication systems further, OFDMA enables greater system performance with dynamic resource allocation under various interfering scenarios when contrasted with other methodologies like frequency reuse, adaptive filtering or adaptive power control.
Keywords: OFDMA, ICI, ISI, IoT, PSK, QAM, ECC, MIMO, SIR, BER, SNR, LTE, FDE, TDE, CP, AMC, FFT, IFFT.