Liang, M;
Li, A;
Hu, X;
Masouros, C;
(2024)
A New Solution for MU-MISO Symbol-Level Precoding: Extrapolation and Deep Unfolding.
IEEE Transactions on Wireless Communications
10.1109/TWC.2024.3509713.
(In press).
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Abstract
Constructive interference (CI) precoding, which converts the harmful multi-user interference into beneficial signals, is a promising and efficient interference management scheme in multi-Antenna communication systems. However, CI-based symbol-level precoding (SLP) experiences high computational complexity as the number of symbol slots increases within a transmission block, rendering it unaffordable in practical communication systems. In this paper, we propose a symbol-level extrapolation (SLE) strategy to extrapolate the precoding matrix by leveraging the relationship between different symbol slots within in a transmission block, during which the channel state information (CSI) remains constant, where we design a closed-form iterative algorithm based on SLE for both PSK and QAM modulation. In order to further reduce the computational complexity, a sub-optimal closed-form solution based on SLE is further developed for PSK and QAM, respectively. Moreover, we design an unsupervised SLE-based neural network (SLE-Net) to unfold the proposed iterative algorithm, which helps enhance the interpretability of the neural network. By carefully designing the loss function of the SLE-Net, the time-complexity of the network can be reduced effectively. Extensive simulation results illustrate that the proposed algorithms can dramatically reduce the computational complexity and time complexity with only marginal performance loss, compared with the conventional SLP design methods.
| Type: | Article |
|---|---|
| Title: | A New Solution for MU-MISO Symbol-Level Precoding: Extrapolation and Deep Unfolding |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/TWC.2024.3509713 |
| Publisher version: | https://doi.org/10.1109/twc.2024.3509713 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Precoding , Interference , Symbols , Iterative methods , Extrapolation , Phase shift keying , Neural networks , Modulation , Signal to noise ratio , Time complexity |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10202854 |
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