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We develop an efficient hard-detector for multiple-input multiple-output (MIMO) channels, which adaptively combines maximum-likelihood detection (MLD) and minimum-mean-square-error (MMSE) with a successive interference canceler (SIC) together. Unlike the conventional joint combination scheme which may suffer from considerable degradation in bit-error-rate (BER) performance over correlated channels...
A multi-lattice-reduction aided (MLRA) vector precoding algorithm is proposed in this paper. Compared with traditional lattice-reduction-aided (LRA) method, the new method tries to find a set of candidates of perturbation vectors through reducing the formulated lattice to get subspaces of searching space. Within each subspace, a candidate vector is solved. Then the optimum vector is found in this...
Eliminating the interferences among antennas is the first issue for effectively utilizing the spatial degree of freedoms of multiple-input multiple-output (MIMO) systems. Singular value decomposition (SVD) method plays an important role for interference elimination through a joint transceiver way, where the singular vectors are often used for linear unitary precoding (UP). However, directly applying...
A Schnorr-Euchner sphere decoder (SESD) with increasing radii algorithm (IRA) named as the IRA-SESD and two ordering preprocessing strategies are considered in this paper. Statistical constrain radii (SCRs) are obtained from probabilistic distribution of path metric in order to statistically prune branches. Ordering preprocessing schemes are jointly applied to further reduce computational complexity...
Multiple input multiple output (MIMO) systems are recognized as a key enabling technology in high performance wireless communications. Among known MIMO detectors, the sphere decoding algorithm (SDA) is capable of optimal performance with a reduced computational complexity, compared to a maximum likelihood (ML) detector. However the hardware implementation of the SDA still is a major design challenge,...
Sphere Decoding algorithm has been shown to achieve near Maximum Likelihood (ML) performance with low complexity for MIMO communication systems, but still has higher complexity than other suboptimum detectors. Especially at low SNR, the complexity of sphere decoding algorithm gets much higher. In this paper, sphere decoding algorithms combined with other suboptimum detectors are proposed. Pre-estimated...
Multiple-input multiple-output (MIMO) technologies have the advantage of improving system throughput and error performance by exploiting the spatial diversity, owing to the multiple independent transmit-receive paths. A lot of efforts have been put into MIMO broadcast channels research and it is expected to be a core technology for 3G and 4G wireless systems. Generally, channel state information (CSI)...
In this paper, we address the transmit antenna selection in multi-user MIMO systems with precoding. The optimum and reduced complexity sub-optimum antenna selection algorithms are introduced. QR-decomposition (QRD) based antenna selection is investigated and the reason behind its sub-optimality is analytically derived. We introduce the conventional QRD-based algorithm and propose an efficient QRD-based...
We propose a pragmatic labeling design based on the extrinsic information transfer (EXIT) chart for bit-interleaved coded modulation with iterative decoding on multiple-input-multiple-output channels. In our design, the EXIT chart is used to determine a candidate set of labelings which have representative demapper transfer curves. Then, a procedure to generate these labelings is provided based on...
Codebook-based limited feedback precoded MIMO systems involve vector quantization, which may require intensive computations, especially for large codebooks. In this paper we show how the complexity and codebook storage can be significantly reduced by using a special alphabet to generate the codebook. Simulation results show that the performance with the generated codebook is comparable with other...
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...
Precoding is an effective technique enhancing the performance of MIMO-OFDM systems. In practical systems, the precoding matrix is computed at the receiver, and then fed back to the transmitter. To reduce the amount of the feedback data, only the index representing a quantized precoding matrix is fed back. The quantized matrix is selected from a set of predetermined matrices called a codebook. Since...
Focusing on high order multiple-input multiple-output (MIMO) systems, this paper presents an orthogonal grouping-based near optimal detection algorithm (OGNO). Compared to existing detection algorithms, the proposed algorithm provides a new viewpoint of reducing the receiver detection complexity in high order MIMO systems. With the proper parameters, the OGNO can achieve the almost same performance...
In this paper, we propose a family of full diversity fast decodable Linear Dispersion Codes (LDCs) for use in MIMO systems. These codes have as many as possible the orthogonal rows in the dispersion matrices of the LDC. One of the main advantages of this family of LDCs is that it can be used in MIMO systems with arbitrary numbers of transmitted and received antennas and arbitrary transmission rates...
This paper proposes a novel detection scheme based on Dempster-Shafer (D-S) evidence theory in multiple-input multiple-output (MIMO) systems. The focal-element-set (FES) characterizes the uncertainty contained in the decision statistics, and the corresponding basic-probability-assignment (BPA) of FES is the likelihood measure, acting as the soft-decisions of the transmit signals. The uncertainty can...
This paper presents an efficient and practicable MIMO transceiver in which transmitter antenna selection is applied to minimum mean-squared-error V-BLAST (MMSE V-BLAST) detector and GMD precoding through limited feedback channel. The method compensates the deficiency of the GMD algorithm under ill-conditioned channel and improves the BER performance further. For over 4 times 5 antenna selection, the...
A new iterative zero-forcing BLAST with QR decomposition algorithm improving the performance over error propagation is proposed in this paper. In the algorithm, much effort is made on several iterations to obtain the high performance substreams. Simulation results show that the new algorithm greatly improve the performance of the traditional QR detection algorithm with reasonable increase of computation...
Maximum likelihood detection (MLD) algorithm provides the best bit error rate (BER) performance for multiple-input multiple-output (MIMO) system. However, the computational complexity of ML detection algorithm grows exponentially with the number of transmit antennas, which results in impractical to use in practice system. The use of QR decomposition with an M-algorithm (QRD-M) has been proposed to...
This paper represents an overview of the main sphere decoders used in MIMO (multiple input multiple output) spatial multiplexing communication systems. The family of sphere decoders addressed in this paper exhibits fixed throughput, regardless of the radio channel conditions. The algorithms are compared with respect to their complexity and performances when used with a soft Viterbi channel decoder...
Depth-first tree search algorithms provide a promising approach to solve the detection problems in MIMO systems. Realizations like the list sphere detector (LSD) or the single tree search (STS) enable near max-log detection at reduced but still high complexity. In this paper we show how the complexity of list sphere detection can be significantly reduced by MMSE preprocessing in combination with a...
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