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Dual Orthogonal Projections for Multiuser Interference Cancellation in mmWave Beamforming With Uniform Planar Arrays

Jiazhe Li, Heng Dong, Nicolò Decarli, Francesco Guidi, Anna Guerra, Alessandro Bazzi, Zhuoming Li

Abstract

This paper investigates multiuser interference (MUI) cancellation for millimeter-wave (mmWave) beamforming in communication systems. We propose a linear algorithm, termed iterative dual orthogonal projections (DOP), which alternates between two orthogonal projections: one to eliminate MUI and the other to refine combiners, ensuring empirical convergence in spectral efficiency. Simulation results show that, with each iteration, the spectral efficiency of each user converges rapidly, closely approaching the theoretical optimum determined by dirty paper coding (DPC), surpassing existing linear benchmarks while maintaining low computational complexity. Furthermore, the proposed DOP algorithm is extended to support both fully-digital and hybrid beamforming architectures.

Dual Orthogonal Projections for Multiuser Interference Cancellation in mmWave Beamforming With Uniform Planar Arrays

Abstract

This paper investigates multiuser interference (MUI) cancellation for millimeter-wave (mmWave) beamforming in communication systems. We propose a linear algorithm, termed iterative dual orthogonal projections (DOP), which alternates between two orthogonal projections: one to eliminate MUI and the other to refine combiners, ensuring empirical convergence in spectral efficiency. Simulation results show that, with each iteration, the spectral efficiency of each user converges rapidly, closely approaching the theoretical optimum determined by dirty paper coding (DPC), surpassing existing linear benchmarks while maintaining low computational complexity. Furthermore, the proposed DOP algorithm is extended to support both fully-digital and hybrid beamforming architectures.

Paper Structure

This paper contains 12 sections, 24 equations, 3 figures, 1 algorithm.

Figures (3)

  • Figure 1: Downlink multiuser beamforming in mmWave UPA systems with fully-connected hybrid array architectures.
  • Figure 2: Sum spectral efficiency versus different parameters for multiuser beamforming algorithms, where ${{N}_{\text{t}}}=256$, ${{N}_{\text{r}}}=64$, and ${{N}_{\text{s}}}=4$ for both fully-digital and hybrid architectures, while $N_{\text{RF}}^{\text{t}}=U{{N}_{\text{s}}}$ and $N_{\text{RF}}^{\text{r}}={{N}_{\text{s}}}$ apply to hybrid algorithms only. Fig. \ref{['fig2']}(b) evaluates performance at $\text{SNR}=\text{10 dB}$.
  • Figure 3: Performance analysis regarding MUI refinement and convergence, where ${{N}_{\text{t}}}=256$, ${{N}_{\text{r}}}=64$, ${{N}_{\text{s}}}=4$, $U=12$, $N_{\text{RF}}^{\text{t}}=U{{N}_{\text{s}}}$ and $N_{\text{RF}}^{\text{r}}={{N}_{\text{s}}}$. Fig. \ref{['fig3']}(b) evaluates performance at $\text{SNR}=\text{10 dB}$.