期刊
COMPUTERS & ELECTRICAL ENGINEERING
卷 99, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compeleceng.2022.107746
关键词
5G; BER; GTD; Hybrid precoding; IGMD; Massive MIMO; mmWave; SNR
类别
资金
- Scientific and Technological Research Council of Turkey (TUBITAK) [BIDEB-2219]
- TUBITAK
This paper investigates the performance degradation issues in millimeter-wave communication and multiple-antenna systems. To overcome these issues, a hybrid precoder is used, and a method based on iterative geometric mean decomposition is proposed, which achieves better performance in terms of bit error rate and signal-to-noise ratio compared to existing methods.
Millimeter-waves (mmWave) have emerged as a promising candidate for next-generation communication systems. However, they have severe degradation issues that can be overcome by multiple-input multiple-output (MIMO) technology. Still, high-power consumption and budget issues are associated with multiple antennas. Therefore, hybrid precoders are exploited to combat these inevitable issues. The prime objective of this manuscript is to develop a hybrid precoder for massive MIMO systems that can provide better performance than the existing ones in terms of bit error rate (BER) versus signal-to-noise ratio (SNR). In this context, we exploit iterative geometric mean decomposition (IGMD) method that presents asymptotically optimum performance not only in traditional MIMO systems but also in massive MIMO systems. Later, the outcomes of the proposed scheme are compared with a recent design exploiting generalized triangular decomposition (GTD) scheme. The simulation studies show that the proposed method provides more than 7 dB improvement according to other designs.
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