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Robust Precoding for 3D Massive MIMO Configuration With Matrix Manifold Optimization
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DOI：10.1109/TWC.2021.3121734.png)
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摘要
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This paper investigates robust downlink precoding for three-dimensional (3D) massive multi-input multi-output (MIMO) configuration with matrix manifold optimization. Starting with a posteriori channel model, we formulate the robust precoder design to maximize an upper bound of ergodic weighted sum-rate under a total power budget. We derive the generalized eigenvector structure for optimal precoder with matrix manifold optimization. However, since the precoding of multiple users is coupled in the structure, we maximize the objective function for each user in alternation and prove the solution of each individual problem is the generalized eigenvector corresponding to the maximum generalized eigenvalue. In accordance with this, we design an iterative algorithm and present its convergence analysis. Furthermore, we propose a Riemannian conjugate gradient (RCG) method to solve the generalized eigenvalue problem (GEP) for higher efficiency in the precoder design algorithm.
Keyword:
Precoding
Manifolds
Optimization
Massive MIMO
Channel models
Wireless communication
Three-dimensional displays
3D massive MIMO
robust precoding
matrix manifold optimization
generalized eigenvalue problem
期刊
IF:
10.7
论文数:
1.3W
被引数:
5.3W
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