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http://bura.brunel.ac.uk/handle/2438/28715
Title: | Robust Precoding for HF Skywave Massive MIMO with Slepian Transform |
Authors: | Song, L Shi, D Gan, L Gao, X |
Keywords: | massive MIMO;HF skywave communications;robust precoding,;Slepian transform. |
Issue Date: | 5-Feb-2024 |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Citation: | Song, L. et al. (2024) 'Robust Precoding for HF Skywave Massive MIMO with Slepian Transform', IEEE Transactions on Communications, 0 (early access), pp. 1 - 14. doi: 10.1109/TCOMM.2024.3362146. |
Abstract: | In this paper, we address robust precoding in high-frequency (HF) skywave massive multiple-input multiple-output (MIMO) systems with imperfect channel state information (CSI). We first employ a sparse beam based a posteriori channel model and demonstrate that robust precoding can be efficiently solved in the Slepian transform domain with a large number of base station (BS) antennas. Next, we introduce two Slepian transform based robust precoding methods, including a joint approach that leverages inverse fast Fourier transform (IFFT) for reduced complexity with a large number of user terminals (UTs). We then establish a local optimum for the Slepian transform domain robust precoder (STRP) design using the majorization minimization (MM) algorithm, taking advantages of HF skywave massive MIMO channel sparsity and Slepian sequence properties. Further, two distinct designs are presented: separate STRP (SSTRP) and joint STRP (JSTRP). Simulation results confirm the effectiveness of proposed robust precoders, showcasing their excellent ergodic sum-rate performance and low complexity. |
URI: | https://bura.brunel.ac.uk/handle/2438/28715 |
DOI: | https://doi.org/10.1109/TCOMM.2024.3362146 |
ISSN: | 0090-6778 |
Other Identifiers: | ORCiD: Linfeng Song https://orcid.org/0000-0003-1646-4988 ORCiD: Ding Shi https://orcid.org/0000-0002-1996-8914 ORCiD: Lu Gan https://orcid.org/0000-0003-1056-7660 ORCiD: Xiqi Gao https://orcid.org/0000-0001-9107-6593 |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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