• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Near-Optimal Low-Complexity Hybrid Precoding for THz Massive MIMO Systems

Vol. 18, No. 4, April 30, 2024
10.3837/tiis.2024.04.012, Download Paper (Free):


Terahertz (THz) communication is becoming a key technology for future 6G wireless networks because of its ultra-wide band. However, the implementation of THz communication systems confronts formidable challenges, notably beam splitting effects and high computational complexity associated with them. Our primary objective is to design a hybrid precoder that minimizes the Euclidean distance from the fully digital precoder. The analog precoding part adopts the delay-phase alternating minimization (DP-AltMin) algorithm, which divides the analog precoder into phase shifters and time delayers. This effectively addresses the beam splitting effects within THz communication by incorporating time delays. The traditional digital precoding solution, however, needs matrix inversion in THz massive multiple-input multiple-output (MIMO) communication systems, resulting in significant computational complexity and complicating the design of the analog precoder. To address this issue, we exploit the characteristics of THz massive MIMO communication systems and construct the digital precoder as a product of scale factors and semi-unitary matrices. We utilize Schatten norm and Hölder's inequality to create semi-unitary matrices after initializing the scale factors depending on the power allocation. Finally, the analog precoder and digital precoder are alternately optimized to obtain the ultimate hybrid precoding scheme. Extensive numerical simulations have demonstrated that our proposed algorithm outperforms existing methods in mitigating the beam splitting issue, improving system performance, and exhibiting lower complexity. Furthermore, our approach exhibits a more favorable alignment with practical application requirements, underlying its practicality and efficiency.


Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.

Cite this article

[IEEE Style]
Y. Sun, A. Zhang, H. Yang, D. Tian, H. Xia, "Near-Optimal Low-Complexity Hybrid Precoding for THz Massive MIMO Systems," KSII Transactions on Internet and Information Systems, vol. 18, no. 4, pp. 1042-1058, 2024. DOI: 10.3837/tiis.2024.04.012.

[ACM Style]
Yuke Sun, Aihua Zhang, Hao Yang, Di Tian, and Haowen Xia. 2024. Near-Optimal Low-Complexity Hybrid Precoding for THz Massive MIMO Systems. KSII Transactions on Internet and Information Systems, 18, 4, (2024), 1042-1058. DOI: 10.3837/tiis.2024.04.012.

[BibTeX Style]
@article{tiis:90797, title="Near-Optimal Low-Complexity Hybrid Precoding for THz Massive MIMO Systems", author="Yuke Sun and Aihua Zhang and Hao Yang and Di Tian and Haowen Xia and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2024.04.012}, volume={18}, number={4}, year="2024", month={April}, pages={1042-1058}}