A Rank-Constrained Coordinate Ascent Approach to Hybrid Precoding for the Downlink of Wideband Massive (MIMO) Systems
arXiv:2401.16908 · doi:10.1109/TVT.2023.3293933
Abstract
An innovative approach to hybrid analog-digital precoding for the downlink of wideband massive MIMO systems is developed. The proposed solution, termed Rank-Constrained Coordinate Ascent (RCCA), starts seeking the full-digital precoder that maximizes the achievable sum-rate over all the frequency subcarriers while constraining the rank of the overall transmit covariance matrix. The frequency-flat constraint on the analog part of the hybrid precoder and the non-convex nature of the rank constraint are circumvented by transforming the original problem into a more suitable one, where a convenient structure for the transmit covariance matrix is imposed. Such structure makes the resulting full-digital precoder particularly adequate for its posterior analog-digital factorization. An additional problem formulation to determine an appropriate power allocation policy according to the rank constraint is also provided. The numerical results show that the proposed method outperforms baseline solutions even for practical scenarios with high spatial diversity.
References in corpus (15)
- Massive MIMO for Next Generation Wireless Systems
- Spatially Sparse Precoding in Millimeter Wave MIMO Systems
- Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems
- Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays
- Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems
- Low-Complexity Hybrid Precoding in Massive Multiuser MIMO Systems
- Frequency Selective Hybrid Precoding for Limited Feedback Millimeter Wave Systems
- Spatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO
- On the Number of RF Chains and Phase Shifters, and Scheduling Design with Hybrid Analog-Digital Beamforming
- Beam Squint and Channel Estimation for Wideband mmWave Massive MIMO-OFDM Systems
- Channel Estimation and Hybrid Precoding for Frequency Selective Multiuser mmWave MIMO Systems
- Hybrid Precoding for Multi-User Millimeter Wave Massive MIMO Systems: A Deep Learning Approach
- Stochastic Successive Convex Optimization for Two-timescale Hybrid Precoding in Massive MIMO
- Rank-Constrained Schur-Convex Optimization with Multiple Trace/Log-Det Constraints
- Hybrid LISA for Wideband Multiuser Millimeter Wave Communication Systems under Beam Squint