An energy efficiency perceptive on MIMO‐OFDM systems using hybrid fruit fly‐based salp swarm optimization technique
An energy efficiency perceptive on MIMO‐OFDM systems using hybrid fruit fly‐based salp swarm optimization technique
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DOI：
10.1002/cpe.7416
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发表时间：
2022-10
期刊：
影响因子：
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通讯作者：
G. Harish Kumar;P. Trinatha Rao
中科院分区：
文献类型：
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作者：
G. Harish Kumar;P. Trinatha Rao
本文旨在利用智能Meta启发式方法来规划开发节能的MIMO‐OFDM移动的多媒体通信系统。该模型集中于解决多通道优化问题。目前的研究工作主要集中在单通道优化问题上，因此将多通道优化问题转化为单通道优化问题是本研究的难点。在所提出的用于移动的多媒体通信系统的MIMO-OFDM方法中，信道矩阵奇异值分解（SVD）方法用于实现子信道分组方案，这将多信道问题简化为多目标单信道优化问题。在该优化问题中，对传输功率分配阈值进行优化，以达到能源效率最大化的目标函数。在MIMO-OFDM移动的多媒体通信系统中，采用一种混合优化算法--基于果蝇的混合Salp Swarm Optimization（HFF-SSO）算法进行能量优化。这种混合算法已经达到了具有高收敛速度的能量有效的系统，这是通过与传统系统的比较来证明的。
This paper is to plan for the development of energy‐efficient MIMO‐OFDM mobile multimedia communication systems using the intelligent meta‐heuristic approach. This model is concentrated on solving the multi‐channel optimization problem. Recent research work is focused on single‐channel optimization problems, and hence the conversion of multi‐channel optimization problems into single‐channel optimization problems is considered the challenging point in this research. In the proposed MIMO‐OFDM method for mobile multimedia communication systems, the channel‐matrix Singular Value Decomposition (SVD) method is used for implementing the sub‐channel grouping scheme, which has simplified the multichannel problem to a multi‐target single‐channel optimization problem. In this optimization problem, the transmission power‐allocation threshold is optimized for attaining the objective function of maximization of energy efficiency. A hybridized optimization algorithm named Hybrid Fruit Fly‐based Salp Swarm Optimization (HFF‐SSO) is utilized for energy optimization in the MIMO‐OFDM mobile multimedia communication system. This hybrid algorithm has reached an energy‐efficient system with a high convergence rate, which is proved by the comparison over the conventional systems.