Browsing by Author "Tai, Tzu-Hao"

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A Low Complexity Antenna Selection Algorithm for Energy Efficiency in Massive MIMO Systems
(2015)
Tai, Tzu-Hao
;
Chung, Wei-Ho
;
Lee, Ta-Sung
;
電信工程研究所
;
Institute of Communications Engineering
Massive multi-input multi-output (MIMO) system adopting large amount of antennas is a promising technique to improve spectral efficiency and energy efficiency for next generation wireless communication systems. However, the power consumptions of the radio frequency (RF) chains can be huge, which poses great challenges. In this paper, we consider the problem of transmit RF chain configuration with the goal to maximize energy efficiency under total power constraint in massive MIMO systems. The RF chain configuration can be decided by applying antenna selection methods. Considering the trade-off between performance and complexity, we propose the norm-and-correlation-based selection algorithm with low complexity for energy efficiency maximization. Our selection metric considers the effect of the norm of each channel column and correlation between columns while attaining low computational complexity. Simulation results validate the advantages of the proposed algorithm.
Energy Efficient Norm-and-Correlation-based Antenna Selection Algorithm in Spatially Correlated Massive Multi-User MIMO Systems
(2017-01-01)
Tai, Tzu-Hao
;
Chen, Hsin-Jung
;
Chung, Wei-Ho
;
Lee, Ta-Sung
;
電信工程研究所
Massive multiuser multi-input multi-output (MUMIMO) system adopting large amount of antennas is a promising technique to improve spectral efficiency and energy efficiency for next generation wireless communication systems. In practice, the channels composed of pairs of transmit and receive antennas are often correlated and computational complexity is one of the critical concern in implementation issue. Hence, antenna selection techniques can be adopted to improve system performance. In this paper, we propose a norm-and-correlation-based selection algorithm for energy efficiency maximization to decide transmit RF chain configuration under the total power constraint in massive MU-MIMO systems.