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Adaptive blind MIMO equalization algorithm adopting decision feedback recurrent neural network(DFRNN) is proposed and investigated in 4 × 56 Gbit/s MDM-QPSK system. The required-data-length of DFRNN is 1/3 of that in CMA with similar performance.
In the Multiple Input Multiple Output (MIMO) systems, the receiver performance is greatly affected by Antenna Gain Imbalance (AGI). This paper proposes an novel AGI detection algorithm based on the Least Square (LS) channel estimation. The AGI parameter is accurately obtained after eliminating the influence of noise from the channel through the long-term statistics. Moreover, a compensation algorithm...
The fixed-complexity sphere decoder (FSD) has been proposed to attain the near-optimal performance achieving the same diversity order as the maximum-likelihood decoder (MLD) recently. However, it suffers great redundant computations resulting in high power consumption. In this paper, we conduct an improved algorithm for the original FSD by using early termination (ET). This algorithm (abbreviated...
In this paper, we consider practical multiuser multiple-input multiple-output (MU-MIMO) systems where each user has multiple receive antennas and limited channel feedback is available at the base station (BS). The joint combiner and precoding scheme for downlink transmission is proposed, in which we consider the joint use of the receive antenna combiner at each user and precoding at the BS. In the...
The asymptotic performance of transmit antenna selection (TAS) in a two-hop amplify-and-forward (AF) MIMO relay network over Rayleigh-fading channels is analyzed. Assuming that the source and destination are equipped with NS and ND antennas, respectively, and communicate with each other with the help of an NR-antenna relay, we derive closed-form statistics of received signal-to-noise ratio (SNR) around...
We propose a cooperative orthogonal space-time block codes (OSTBC) transmission scheme in the adaptive-gain amplify-and-forward MIMO relaying with NS source antennas, NR relay antennas, and ND destination antennas, and analyze the asymptotic performance of the proposed scheme. Specifically, we explore the instantaneous channel state information (CSI) of source-to-relay channel and design an OSTBC...
The performance of transmit antenna selection (TAS) in a two-hop amplify-and-forward (AF) MIMO relaying network over Rayleigh-fading channels is analyzed. Assuming that the source, destination are equipped with NS and ND antennas, respectively, and communicate with each other with the help of an NR-antenna relay, we derive closed-form cumulative distribution function (CDF) of received signal-to-noise...
Maximum-likelihood detection (MLD) is the optimal scheme for multiple-input multiple-output (MIMO) channels. However, due to its exponentially high complexity, many alternative algorithms, including some parallel detection (PD) ones with low complexity and high stability, have been proposed for practical applications. Nevertheless, the existing PD algorithms are unable to exploit sufficiently the...
This paper proposes a novel sub-optimal transmit antenna selection (TAS) strategy for non-regenerative half-duplex MIMO relay channel. While antenna selection is a sub-optimal form of beamforming, it still enjoys the advantage of tractable optimization and low feedback overhead. The diversity order of this proposed strategy is derived to prove that it can achieve the full diversity order as the optimal...
The maximum likelihood detection with QR decomposition and M-algorithm (QRM-MLD) has been proposed as a near-optimal multiple-input multiple-output (MIMO) detection scheme which can achieve near maximum likelihood (ML) performance with complexity greatly reduced. However, the performance of the QRM-MLD algorithm will deteriorate with the increasing of the number of transmit antennas, as well as the...
We compare the outage performance by applying transmit antenna selection strategies to amplify-and-forward protocol in the MIMO relaying scenario. Although antenna selection is a suboptimal form of beamforming, it enjoys the advantages of tractable optimization and low feedback overhead. Specifically, by combining transmit antenna selection strategies with amplify-and-forward protocol, we propose...
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