A Framework on Hybrid MIMO Transceiver Design based on Matrix-Monotonic Optimization

Abstract

Hybrid transceiver can strike a balance between complexity and performance of multiple-input multiple-output (MIMO) systems. In this paper, we develop a unified framework on hybrid MIMO transceiver design using matrix-monotonic optimization. The proposed framework addresses general hybrid transceiver design, rather than just limiting to certain high frequency bands, such as millimeter wave (mmWave) or terahertz bands or relying on the sparsity of some specific wireless channels. In the proposed framework, analog and digital parts of a transceiver, either linear or nonlinear, are jointly optimized. Based on matrix-monotonic optimization, we demonstrate that the combination of the optimal analog precoders and processors are equivalent to eigenchannel selection for various optimal hybrid MIMO transceivers. From the optimal structure, several effective algorithms are derived to compute the analog transceivers under unit modulus constraints. Furthermore, in order to reduce computation complexity, a simple random algorithm is introduced for analog transceiver optimization. Once the analog part of a transceiver is determined, the closed-form digital part can be obtained. Numerical results verify the advantages of the proposed design.

arXiv comment13 pages,7 figures, IEEE Signal Processing 2018

References in corpus (8)

• Spatially Sparse Precoding in Millimeter Wave MIMO Systems
• Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays
• Spatial- and Frequency-Wideband Effects in Millimeter-Wave Massive MIMO Systems
• Codebook Based Hybrid Precoding for Millimeter Wave Multiuser Systems
• Robust Transceiver with Tomlinson-Harashima Precoding for Amplify-and-Forward MIMO Relaying Systems
• A Framework for Transceiver Designs for Multi-Hop Communications with Covariance Shaping Constraints
• Hybrid Analog-Digital Beamforming for Massive MIMO Systems
• Near-Optimal Hybrid Processing for Massive MIMO Systems via Matrix Decomposition

Cited by in corpus (4)

• Majorization-Minimization Aided Hybrid Transceivers for MIMO Interference Channels
• Matrix-Monotonic Optimization Part II: Multi-Variable Optimization
• Training Beam Design for Channel Estimation in Hybrid mmWave MIMO Systems
• Double Intelligent Reflecting Surface-assisted Multi-User MIMO mmWave Systems with Hybrid Precoding