System Energy-Efficient Hybrid Beamforming for mmWave Multi-User Systems

摘要: This paper develops energy-efficient hybrid beamforming designs for mmWave multi-user systems where analog precoding is realized by switches and phase shifters such that radio frequency (RF) chain to transmit antenna connections can be switched off energy saving. By explicitly considering the effect of each connection on required power baseband RF signal processing, we describe total consumption in a sparsity form matrix. However, these terms sparsity-modulus constraints make system energy-efficiency maximization problem non-convex challenging solve. To tackle this problem, first transform it into subtractive-form weighted sum rate problem. A compressed sensing-based re-weighted quadratic-form relaxation method employed deal with parts constraints. We then exploit alternating minimization mean-squared error solve equivalent digital vectors matrix are updated sequentially. The efficiency upper bound heuristic algorithm also examined comparison purposes. Numerical results confirm superior performances proposed over benchmark algorithms one.