Energy-Efficient Multicast Precoding for Massive MIMO Transmission with Statistical CSI
Li You,
Wenjin Wang and
Xiqi Gao
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Li You: National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
Wenjin Wang: National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
Xiqi Gao: National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
Energies, 2018, vol. 11, issue 11, 1-11
Abstract:
In this paper, we investigate energy-efficient multicast precoding for massive multiple-input multiple-output (MIMO) transmission. In contrast with most previous work, where instantaneous channel state information (CSI) is exploited to facilitate energy-efficient wireless transmission design, we assume that the base station can only exploit statistical CSI of the user terminals for downlink multicast precoding. First, in terms of maximizing the system energy efficiency, the eigenvectors of the optimal energy-efficient multicast transmit covariance matrix are identified in closed form, which indicates that optimal energy-efficient multicast precoding should be performed in the beam domain in massive MIMO. Then, the large-dimensional matrix-valued precoding design is simplified into an energy-efficient power allocation problem in the beam domain with significantly reduced optimization variables. Using Dinkelbach’s transform, we further propose a sequential beam domain power allocation algorithm which is guaranteed to converge to the global optimum. In addition, we use the large-dimensional random matrix theory to derive the deterministic equivalent of the objective to reduce the computational complexity involved in sample averaging. We present numerical results to illustrate the near-optimal performance of our proposed energy-efficient multicast precoding for massive MIMO.
Keywords: energy efficiency; physical-layer multicasting; massive multiple-input multiple-output (MIMO); statistical channel state information (CSI); beam domain transmission (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:11:p:3175-:d:183197
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