Hybrid Beamforming Design for ITS-Assisted Wireless Networks

Abstract

This letter proposes a hybrid beamforming design for an intelligent transmissive surface (ITS)-assisted transmitter wireless network. We aim to suppress the sidelobes and optimize the mainlobes of the transmit beams by minimizing the proposed cost function based on the least squares (LS) for the digital beamforming vector of the base station (BS) and the phase shifts of the ITS. To solve the minimization problem, we adopt an efficient algorithm based on the alternating optimization (AO) method to design the digital beamforming vector and the phase shifts of the ITS in an alternating manner. In particular, the alternating direction method of multipliers (ADMM) algorithm is utilized to obtain the optimal phase shifts of the ITS. Finally, we verify the improvement achieved by the proposed algorithm in terms of the beam response compared to the benchmark schemes by the simulation results.

Computation-Efficient Hybrid Beamforming in mmWave Massive MIMO Using Branchwise Double Phase Shifters

“…methodologies in [3], [4], [6], [7]. Analog beamformers using continuous phase shifters require numerous multiplexers and converters, making them impractical and costly for real-world applications [8].…”

“…A two-stage hybrid design was proposed [6]. To optimize the mainlobes of beamformer, the authors proposed an intelligent transmissive surface-assisted hybrid beamforming [7]. To get an additional degree of freedom in a mmWave systems, the authors studied a two-step codeword with PSs [8].…”