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An Energy Efficient OFDM-MIMO Systems for Multimedia Data Transmission Based on Hybrid Fuzzy Approach

机译:一种基于混合模糊方法的多媒体数据传输节能OFDM-MIMO系统

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摘要

In a 4G cellular communication system, energy efficiency and power consumption are the key parameters in evaluating and designing communication system in multimedia. In this paper, an efficient model with high energy is proposed for multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) mobile multimedia systems with less power consumption. Providing high-speed video coding technique, which is designed to substantially improve coding efficiency compared with other coding techniques. Next to that erasures coding and Wyner-Ziv coding is used for encoding and compression process. Finally, efficient energy based optimized power allocation with hybrid Fuzzy Grey Wolf Optimization (GWO) algorithm is presented to reduce the power consumption of MIMO-OFDM mobile multimedia communication systems. The value of power which is consumed at the 30th iteration is 20 W and the energy efficiency is 92% for the 20 W power. Experimental results show that the proposed hybrid Fuzzy GWO algorithm can assure the required service with maximum efficiency in MIMO-OFDM.
机译:在4G蜂窝通信系统中,能效和功耗是在多媒体中评估和设计通信系统的关键参数。在本文中,提出了一种高能量的有效模型,用于多输入多输出正交频分复用(MIMO-OFDM)移动多媒体系统,具有较少的功耗。提供高速视频编码技术,该技术旨在与其他编码技术相比大大提高了编码效率。旁边的擦除编码和Wyner-ziv编码用于编码和压缩过程。最后,提出了利用混合模糊灰狼优化(GWO)算法的高效优化功率分配,以降低MIMO-OFDM移动多媒体通信系统的功耗。在第30次迭代时消耗的功率值为20 W,电力功率为92%。实验结果表明,所提出的混合模糊GWO算法可以以MIMO-OFDM的最大效率为所需的服务确保所需的服务。

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