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Performance analysis of ant colony based optimization algorithm in MIMO systems

机译:MIMO系统中基于蚁群算法的性能分析

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In a multi MIMO system, various signals are transmitted concurrently within the identical frequency band. It can effect on considerable enhancements in spectral efficiency as well as system capacity. This paper employs MIMO system to overcome the challenges for receiver design. The signal obtained at the base station or access point, faces co channel interference and inter-symbol interference. In this paper an ant colony optimization method supported by soft iterative detection mechanism for BPSK modulated signals is presented. It uses basic MAP conditions to select the most likely signals from the search space. This process results in configuration of the receiver is such a way that it can remain functioning under overloaded and critically loaded situations. The experimental outcome outperforms the existing methods in terms of iterations, Bit Error Rate, Signal to Noise Ratio and capacity.
机译:在多MIMO系统中,各种信号在相同频带内同时发送。它可以极大地提高频谱效率以及系统容量。本文采用MIMO系统克服了接收机设计的挑战。在基站或接入点获得的信号面临同信道干扰和符号间干扰。本文提出了一种基于BPSK调制信号的软迭代检测机制支持的蚁群优化方法。它使用基本的MAP条件从搜索空间中选择最可能的信号。该过程导致接收器的配置方式使得它可以在过载和临界负载情况下保持功能。在迭代,误码率,信噪比和容量方面,实验结果优于现有方法。

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