5 accepted papers
The present work studies symbol-level precoding (SLP) for multiuser multi-input single-output (MISO) downlink channels and with imperfect channel state information (CSI) at the transmitter. SLP has gained significant interest in recent years because it is capable of enhancing symbol-level performanc…
Symbol-level precoding (SLP) has received tremendous interest in MIMO communications in recent years. In particular, much attention has been paid to the formulation and optimization aspects. In this paper we contribute to these aspects by drawing a connection between SLP and a seemingly unrelated to…
This paper studies nonconvex quadratically constrained quadratic program (QCQP), which is known to be NP-hard in general. In the past decades, various approximate approaches have been developed to tackle the QCQP, including semidefinite relaxation (SDR), successive convex approximation (SCA), the va…
This paper considers symbol-level precoding (SLP) for the multiuser multiple-input single-output (MISO) downlink scenario. By exploiting symbol constellation information, SLP has the ability to achieve much better performance than traditional linear beamforming schemes. In this work, we propose an S…
This paper considers symbol-level precoding (SLP) for multiuser multiple-input single-output (MISO) downlink. SLP is a nonlinear precoding scheme that utilizes symbol constellation structures. It has been shown that SLP can outperform the popular linear beamforming scheme. In this work we reveal a h…