English

Vandermonde Constrained Tensor Decomposition for Hybrid Beamforming in Multi-Carrier MIMO Systems

Signal Processing 2022-12-01 v1

Abstract

Hybrid beamforming has evolved as a promising technology that offers the balance between system performance and design complexity in mmWave MIMO systems. Existing hybrid beamforming methods either impose unit-modulus constraints or a codebook constraint on the analog precoders/combiners, which in turn results in a performance-overhead tradeoff. This paper puts forth a tensor framework to handle the wideband hybrid beamforming problem, with Vandermonde constraints on the analog precoders/combiners. The proposed method strikes the balance between performance, overhead and complexity. Numerical results on a 3GPP link-level test bench reveal the efficacy of the proposed approach relative to the codebook-based method while attaining the same feedback overhead. Moreover, the proposed method is shown to achieve comparable performance to the unit-modulus approaches, with substantial reductions in overhead.

Keywords

Cite

@article{arxiv.2211.16707,
  title  = {Vandermonde Constrained Tensor Decomposition for Hybrid Beamforming in Multi-Carrier MIMO Systems},
  author = {Mohamed Salah Ibrahim and Akshay Malhotra and Mihaela Beluri and Arnab Roy and Shahab Hamidi-Rad},
  journal= {arXiv preprint arXiv:2211.16707},
  year   = {2022}
}
R2 v1 2026-06-28T07:17:32.648Z