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Jointly detecting signals from the source and relay in a multi-input multi-output (MIMO) relaying system can achieve lower symbol error probability (SEP) and higher diversity order. In the literature, the best detector for spatial multiplexing decode-and-forward (DF) MIMO relaying systems is the near maximum likelihood (NML) decoder. However, both NML decoder and its variation are computationally...
In this paper, a new generalized space shift keying (GSSK) multiple-input-multiple-output (MIMO) detector is proposed. The proposed detector improves the conventional orthogonal matching pursuit (OMP) detector by a list detection strategy, and admits a regular structure with fixed throughput characteristic. Simulation results show that our proposed list OMP detector can achieve a more favourable performance-...
Lattice reduction (LR) aided multiple-input multiple-output (MIMO) detectors have been considered as an option to obtain near-maximum likelihood (ML) performance. We first give the analysis to show that large signal-to-noise ratio (SNR) corresponds to the short length of the dual basis vectors. Then, in order to further alleviate the complexity of LR aided MIMO detectors while maintaining acceptable...
We present and evaluate a multiple-input multiple-output visible light communications (MIMO-VLC) system using imaging angle diversity receiver (ImADR). Differing from the conventional imaging receiver (ImR), which has a two-dimensional circular detector array consisting of vertically oriented detectors, the ImADR has a three-dimensional spherical-cap-shaped detector array composed of angle diversity...
In this paper, we consider a confidential communication through multi-cellular co-located multiple-input multiple-output (C-MIMO) and distributed MIMO (D-MIMO) networks in the presence of an eavesdropper. The base station (BS) of each cell sends a common stream of information to a group of receivers within the cell and an eavesdropper observes their communications. We are interested to protect these...
Polar codes are proven capacity-achieving and are shown to have equivalent or even better finite length performance than turbo/LDPC codes under some improved decoding algorithm over the Additive White Gaussian Noise (AWGN) channels. Polar coding is based on the so-called channel polarization phenomenon induced by a transform over the underlying binary-input channel. The channel polarization is found...
We consider the adaptive detection problem in colored Gaussian noise with unknown persymmetric covariance matrix in a multiple-input-multiple-output (MIMO) radar with spatially dispersed antennas. To this end, a set of secondary data for each transmit-receive pair is assumed to be available. MIMO versions of the persymmetric generalized likelihood ratio test (MIMO-PGLRT) detector and the persymmetric...
The performance of multiuser multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) systems can be significantly improved by using efficient resource allocation schemes. There are a lot of resource allocation schemes to maximize the system capacity. However, under a practical circumstance of employing a suboptimal MIMO detector, optimizing for maximum capacity may not...
This paper presents a receiver antenna synchronization and carrier frequency offsets pre-mitigation procedure, which is proposed for distributed massive MIMO system. The technique's performance is dependent to the SNR as well as the number of OFDM symbols per transmission packet. It has been shown that the procedure is working using a rapid prototyping platform based on WARP board. The MIMO system...
MIMO systems have become a de-facto standard in modern wireless communication, and with the upcoming of large-scale MIMO systems, efficient symbol detection techniques become more significant than ever. In this paper, we propose a new symbol detection technique for M-PSK modulated symbols. In order to implement the proposed technique efficiently, we develop an iterative, low-complexity algorithm....
In this paper, we analyze the ergodic spectral efficiency upper bound of a large-scale MIMO and the key technologies, and present new approaches for detection and power allocation. Assuming arbitrary antenna correlation and user distributions, we derive approximations of achievable rates with zero forcing(ZF), maximum ratio combining (MRC), minimum mean squared error (MMSE) and eigen-value decomposition...
In this paper, we investigate the performance of a new selective detection algorithm that is a modification of that proposed in [1]. The channel estimation used is based on adaptive model-based regularization in Multi Input Multi Output (MIMO) OFDM systems. The Basis Expansion Model (BEM) approach is employed for channel estimation. For the adaptive regularization, regularization matrices are computed...
Recently, large-scale Multiple-Input Multiple-Output (MIMO) systems have caught great attention for increasing the system throughput as well as improving the system performance. The main challenge in the design of these MIMO systems is the detection techniques used at the receiver. Lattice Reduction (LR) techniques have shown good potential in MIMO decoding due to their good performance and low complexity...
Multiple-input multiple-output (MIMO) techniques are now being commonplace in wireless communication systems as they provide diversity and spatial multiplexing gains compared to single-input single-output (SISO) systems. Due to the induced high complexity of maximum likelihood (ML) detection for MIMO systems, suboptimal detection is usually employed but at a performance loss. This loss has been fully...
Ordered successive interference cancellation (OSIC) is a well-established detection strategy for multiple-input multiple-output (MIMO) systems. It offers good performance and has an efficient hardware implementation. Typically, the order in which the symbols are detected is based on the channel matrix and the noise statistics. In this paper, a modified ordering scheme that makes use of the information...
We consider massive multiple input multiple output (MIMO) systems with orthogonal frequency division multiplexing (OFDM) that use zero-forcing (ZF) to combat interference. To perform ZF, large dimensional pseudo-inverses have to be computed. In this paper, we propose a discrete Fourier transform (DFT)-interpolation-based technique where substantially fewer ZF matrix computations have to be done with...
Pilot contamination problem mainly comes from the linearity of channel estimation algorithms, e.g. zero forcing, and MMSE, which can be overcame by applying nonlinear channel estimation algorithms. Therefore, the alternating projection (AP) algorithm is back to our sights. Since an AP based channel estimation uses the unknown data symbols (blind) for channel estimation, the concern of pilot contamination...
Non-linear detection for multi-antenna (MIMO) systems using iterative detection and decoding offers superior communications performance at the cost of an increased computational complexity. Various algorithms from literature solve the underlying search problem using quite diverse approaches. Detection based on a Trellis diagram to structure the search has shown close-to-optimal performance, however...
Multiple input multiple output(MIMO) system has been widely researched in recent years. To match high-speed data stream, detector in receiver becomes especially important. Exiting detectors, such as zero-forcing(ZF), minimum mean square error(MMSE) and maximum likelihood(ML) can not meet the demand. So lattice reduction aided detection(LRAD) has been introduced as a new type of MIMO detector. The...
Maximum likelihood (ML) detector is inefficient in the multiple-input multiple-output (MIMO) systems, though it has the best bit error rate (BER) performance. The lattice reduction aided (LRA) detection algorithm has been proposed to establish more efficient detectors for the MIMO systems. However, it causes quantization error that makes the obtained points lie outside of the original constellation...
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