Novel transmit antenna selection strategy for massive MIMO downlink channel

Abstract

In this paper, we deal with the problem of acquiring the channel state information (CSI) at the transmitter in large-scale multiple input multiple output (MIMO) systems, so-called massive MIMO systems. Clearly, obtaining CSI plays a central role to provide high system performance. Even though, in frequency-division duplexed systems, acquiring this information requires a prohibitive amount of feedback, since it increases with the number of transmit antenna. In this work, we design an efficient transmit antenna selection strategy aware of the amount of required CSI for a point-to-multipoint transmission in massive MIMO systems. The proposed strategy provides high sum-rate with limited CSI feedback and limited computational complexity. Innovatively, the antenna selection in our strategy is performed in a decentralized fashion successively at the receiving users. Two schemes are proposed in this work to perform the antenna selection at each user. Next, taking into consideration that the large-scale MIMO transmitter suffers from imperfect knowledge of CSI, we design a new performance criterion. Computer simulations validate that, when the CSI is perfectly known, the proposed strategy is able to achieve high performance in terms of system sum-rate while a significant reduction in both CSI feedback overhead and computational complexity is observed. Moreover, assuming imperfect CSI, the new proposed criterion achieves higher performance when the estimation accuracy is low and at high SNR regime.

Joint Transmit and Circuit Power Minimization in Massive MIMO With Downlink SINR Constraints: When to Turn on Massive MIMO?

“…where (20) and (21) follows from (11) and Lemma 11, respectively. Finally (17) can be obtained by solving forM in (21). Note thatM c min > tr(TF) as α, γ and ρ d are all strictly positive variables.…”

“…A genetic algorithm for antenna selection that is capable of optimizing different objective functions is proposed in [20]. In [21], a subset of the antennas is selected in a decentralized manner by the receiving users under a setup with imperfect CSI. An iterative water-filling scheme for antenna selection is presented in [22].…”

MIMO antenna selection using biogeography‐based optimization with nonlinear migration models

“…Figures 3 to 4 depict graphically the relationship between habitat index and migration rates for models (7) and (8), respectively. The migration for NP PMVs can be described as follows in Algorithm 1.…”

“…The antenna selection (AS) method becomes even more important within the emerging massive MIMO technology. [5][6][7][8] Thus, it is desirable to have a larger antenna number than the RF chains number in each link end and to choose the antenna subset that will be in use. However, the reduction of the antenna number will certainly cause performance deterioration.…”

Self-adaptive Particle Swarm Optimization for Optimal Transmit Antenna Selection

“…In [10], a few methods PSO, GA, and ABC were exploited and evaluated and they are exploited to attain improved antenna selection with superior ability and minimum CPU time. In [13], it concentrated attention on the CSI, by obtaining the CSI plays a fundamental role to offer maximum system performance. A competent TAS approach attaining the number of the necessary CSI for an M-MIMO system in the broadcast channel was exploited.…”