Performance analysis of multiple-input multiple-output orthogonal frequency division multiplexing system using arithmetic optimization algorithm

IF 4.1 2区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
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引用次数: 0

Abstract

This research aims to optimize the interference mitigation and improve system performance metrics, such as bit error rates, inter-carrier interference (ICI), and inter-symbol interference (ISI), by integrating the Redundant Discrete Wavelet Transform (RDWT) with the Arithmetic Optimization Algorithm (AOA). This will increase the spectral efficiency of MIMOOFDM systems for ultra-high data rate (UHDR) transmission in 5 G networks. The most important contribution of this study is the innovative combination of RDWT and AOA, which effectively addresses the down sampling issues in DWT-OFDM systems and significantly improves both error rates and data rates in high-speed wireless communication. Fifth-generation wireless networks require transmission at ultra-high data rates, which necessitates reducing ISI and ICI. Multiple-input multiple-output orthogonal frequency division multiplexing (MIMOOFDM) is employed to achieve the UHDR. The bandwidth and orthogonality of DWT-OFDM (discrete wavelet transform-based OFDM) are increased; however system performance is degraded due to down sampling. The redundant discrete wavelet transform (RDWT) is proposed for eliminating down sampling complexities. Simulation results demonstrate that RDWT effectively lowers bit error rates, ICI, and ISI by increasing the carrier-to-interference power ratio (CIR). The Arithmetic Optimization Algorithm is used to optimize ICI cancellation weights, further enhancing spectrum efficiency. The proposed method is executed in MATLAB and achieves notable performance gains: up to 82.95 % lower error rates and 39.88 % higher data rates compared to the existing methods.

Conclusion

The integration of RDWT with AOA represents a significant advancement in enhancing the spectral efficiency of MIMOOFDM systems for UHDR transmission in 5 G networks. The proposed method not only enhances system performance but also lays a foundation for future developments in high-speed wireless communication by addressing down sampling issues and optimizing interference mitigation.
使用算术优化算法对多输入多输出正交频分复用系统进行性能分析
本研究旨在通过将冗余离散小波变换(RDWT)与算术优化算法(AOA)相结合,优化干扰缓解并改善系统性能指标,如误码率、载波间干扰(ICI)和符号间干扰(ISI)。这将提高 MIMOOFDM 系统在 5 G 网络中进行超高数据速率(UHDR)传输时的频谱效率。这项研究最重要的贡献是创新性地将 RDWT 和 AOA 结合起来,有效解决了 DWT-OFDM 系统中的向下采样问题,显著提高了高速无线通信中的误码率和数据速率。第五代无线网络要求以超高数据速率传输,这就必须降低 ISI 和 ICI。多输入多输出正交频分复用技术(MIMOOFDM)可用于实现超高速数据传输。DWT-OFDM (基于离散小波变换的 OFDM)的带宽和正交性得到了提高,但由于向下采样,系统性能有所下降。为消除向下采样的复杂性,提出了冗余离散小波变换(RDWT)。仿真结果表明,RDWT 通过提高载波与干扰功率比 (CIR) 有效降低了误码率、ICI 和 ISI。算术优化算法用于优化 ICI 消除权重,进一步提高频谱效率。建议的方法在 MATLAB 中执行,取得了显著的性能提升:与现有方法相比,错误率降低了 82.95%,数据传输率提高了 39.88%。所提出的方法不仅提高了系统性能,而且通过解决向下采样问题和优化干扰缓解,为高速无线通信的未来发展奠定了基础。
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来源期刊
Computer Standards & Interfaces
Computer Standards & Interfaces 工程技术-计算机:软件工程
CiteScore
11.90
自引率
16.00%
发文量
67
审稿时长
6 months
期刊介绍: The quality of software, well-defined interfaces (hardware and software), the process of digitalisation, and accepted standards in these fields are essential for building and exploiting complex computing, communication, multimedia and measuring systems. Standards can simplify the design and construction of individual hardware and software components and help to ensure satisfactory interworking. Computer Standards & Interfaces is an international journal dealing specifically with these topics. The journal • Provides information about activities and progress on the definition of computer standards, software quality, interfaces and methods, at national, European and international levels • Publishes critical comments on standards and standards activities • Disseminates user''s experiences and case studies in the application and exploitation of established or emerging standards, interfaces and methods • Offers a forum for discussion on actual projects, standards, interfaces and methods by recognised experts • Stimulates relevant research by providing a specialised refereed medium.
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