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In this paper, we consider a slow-fading nt ×nr multiple-input multiple-output (MIMO) channel subjected to block fading. Reliability (in terms of achieved diversity order) and rate (in number of symbols transmitted per channel use) are of interest in such channels. We propose a new precoding scheme which achieves both full diversity (nt ×nrth order diversity) as well as full rate (nt symbols per channel...
The problem of stochastically robust minimum mean square error (MMSE) transceiver design is addressed for multiple-input multiple-output (MIMO) point-to-point channels with different imperfect channel state information (CSI) at the receiver and the transmitter. While the receiver has distribution knowledge of the doubly correlated Gaussian channel that is conditioned on pilot-based training observations...
Two numerical approaches, the Robust-Generalized Iterative Approach (R-GIA) and the Robust-Transmit Covariance Optimization Approach (R-TCOA), are proposed for jointly designing the minimum mean square error (MMSE) precoders and decoders of uplink multiuser multiple-input-multiple-output (MIMO) systems with arbitrary linear equality power constraints and possibly imperfect channel state information...
In this paper, we study the optimal structure of the source precoding matrix and the relay amplifying matrices for multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes. In particular, a nonlinear decision feedback equalizer (DFE) is used at the destination node, and the minimal mean-squared error (MMSE) criterion is used to detect the transmitted signal at each...
Spatial multiplexing in the multi-user MIMO (MU-MIMO) downlink allows each user in the system to receive multiple data subchannels simultaneously using the same time and spectral resources. In this paper, we have proposed a successive iterative optimization method based on signal-to-leakage-and-noise-ratio (SLNR) maximization algorithm proposed recently, which has no strict constraint on transmit...
Amplify-and-forward (AF) is one of the most common and simple approaches for transmitting information over a cooperative multi-input multi-output (MIMO) relay channel. It has recently been demonstrated that the spectral efficiency of AF scheme can be maximized by using the relay as a smart precoder. However, source node precoding has not been included in the overall maximization problem. In this paper,...
Existing precoding schemes in amplify-and-forward (AF) multiple-input-multiple-output (MIMO) relay systems use linear precoders. In this paper, we consider a precoding scheme in which a Tomlinson-Harashima (TH) precoder (THP) is used at the source and a linear precoder at the relay. With a minimum-mean-squared-error (MMSE) receiver at destination, we propose a new joint precoders design method. Since...
In this paper, we concentrate on the downlink precoding scheme for the multi-user MIMO system with 4 × 4 Quasi-orthogonal space time block codes (QSTBC). An iterative precoding scheme based on the signal-to-leakage-noise ratio (SLNR) maximization is proposed. This precoding scheme is general to different QSTBCs. By choosing the complex scalars properly, a simple solution of the optimization problem...
This paper proposes a new iterative implementation algorithm for sum-rate maximization in a Multiuser MIMO system (MU-MIMO). The proposed algorithm is based on joint precoder and decoder optimization. For that we considered the best existing precoder design algorithm for a MISO multiuser system proposed in . This algorithm is based on the Lagrangian sum-rate maximization procedure. For the receiving...
This paper considers the DFE transceiver optimization for time-varying memoryless MIMO channels under zero-forcing (ZF) constraint. For time-varying channels, the uncoded average BER of the conventional geometric mean decomposition (GMD) based systems is not minimized because of the diverse arithmetic MSEs at different block times. To minimize the BER, a new GMD transceiver is proposed, in which the...
This paper presents an optimal relay precoding scheme for two-hop amplify-and-forward based MIMO relay networks with one source, one destination and multiple relays. A constrained optimization problem for relay precoder is formulated by using the mutual information criterion along with a total relay transmitting power constraint. It is shown that due to the block-diagonal structure of the precoding...
The novel fast iterative approach (FIA), transmit covariance optimization approach (TCOA) and decoder covariance optimization approach (DCOA) are proposed for jointly designing the minimum mean square error (MMSE) precoder and decoder of single-user multiple-input and multiple-output (MIMO) systems subject to general power constraints. Specifically, the total power constraint and the more practical...
This paper deals with the design and analysis of codebook optimization for MIMO-OFDM systems. We present a capacity based codebook construction algorithm under a specific average power and BER constraint. We also derive the close form solution of optimal transmission scheme on capacity sense. Simulation results show that the capacity based codebook construction algorithm with hybrid design of power...
We consider the problem of precoding optimization for wireless MIMO nodes that are assigned both to serve its own destination and to relay another data transmission with a different destination. Unlike the traditional MIMO relay broadcast model, our cooperative node not only amplifies and relays another source signal to its destination but also sends its own information to another destination. Our...
To achieve the full multiplexing gain of MIMO interference networks at high SNRs, the interference from different transmitters must be aligned in lower-dimensional subspaces at the receivers. Recently a distributed ??max-SINR?? algorithm for precoder optimization has been proposed that achieves interference alignment for sufficiently high SNRs. We show that this algorithm can be interpreted as a variation...
Two complementary numerical approaches, the generalized iterative approach (GIA) and the transmit covariance optimization approach (TCOA) are proposed for jointly designing the minimum mean square error (MMSE) precoders and decoders in uplink multiuser multiple-input-multiple-output (MIMO) systems with a per-antenna power constraint. The TCOA always give optimum solution but works only when the source...
In this paper we consider transmit covariance matrix optimization and user ordering problem for successive zero-forcing (SZF) precoding for multiuser multiple-input multiple-output (MIMO) downlink, where base station as well as the mobile receivers are equipped with multiple antennas. With SZF, an optimization of sum rate maximizing transmit covariance matrices is necessary. A dirty paper coding (DPC)...
In this paper we reduce the feedback overhead in two-stream MIMO with per stream link adaptation and codebook based precoding. The amount of feedback may be reduced by indicating the CQI of one stream in a differential manner. The performance of the system depends on how the differential feedback is designed. We optimize the differential feedback for the weaker data stream by considering an optimum...
In this paper, we propose a duality-optimization based framework to maximize the weighted sum throughput for a multiple-input multiple-output (MIMO) ad hoc network. The new schemes include an approximate global optimization approach and an iterative search approach based on the duality framework. Transmitter adaptive precoding and receiver minimum mean-square-error (MMSE) detection for interference...
In this paper, we consider a multiuser Gaussian broadcast channel where the base station and the users both are equipped with multiple antennas. The problem of optimal zero-forcing (ZF) precoding design subject to sum power constraint is discussed. Block diagonalization (BD) is applied as the ZF precoding method. We consider two common optimization criteria: maximum throughput and maximal fairness,...
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