Spatial modulation and recurrent neural network based equalizer for MIMO communication systems

被引：0
|
作者：
Lopamudra Ghadei [1 ]
Harish Kumar Sahoo [1 ]
机构：
[1] Veer Surendra Sai University of Technology,Department of Electronics and Telecommunication Engineering
来源：
International Journal of Information Technology | 2024年 / 16卷 / 7期
关键词：
RNN; Spatial modulation; IEEE 802.11 channel; Rayleigh channel; Rician channel;
D O I：
10.1007/s41870-024-02063-x
中图分类号：
学科分类号：
摘要：
Spatial multiplexing is a prominent feature of MIMO communication system to achieve higher spectral efficiency. Spatial modulation is an indexing-based approach to achieve effective spatial multiplexing and reduce the effect of inter channel interference (ICI). The objective of the research in this paper lies in developing an efficient equalizer by using recurrent neural network (RNN) architecture for both outdoor and indoor transmission considering the practical fading channel statistics. The equalizer performance is tested using standard channel models like Rayleigh, Rician and IEEE 802.11 for single user MIMO. Simultaneous use of spatial PSK modulation and adaptive equalization has the capability to mitigate the channel impairments and enhance the receiver performance.
引用
收藏
页码：4573 / 4587
页数：14
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