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The regularization of the recursive least-squares (RLS) adaptive algorithm is a subject rarely approached in literature. The classical regularization method is implemented in the initial stages of the algorithm and has a time-limited effect on the corresponding correlation matrix. This paper proposes a new regularization technique for the RLS — dichotomous coordinate descent (DCD) algorithm, which...
Cyclically-coupled quasi-cyclic LDPC (CC-QC-LDPC) block codes have been shown to achieve outstanding bit error performance with extremely low error floor. In this paper, we propose two new types of CC-QC-LDPC block codes which can achieve a larger girth. We present the error performance of the CC-QC-LDPC codes constructed by the new mechanism. We show that with similar codelengths, the new codes outperform...
With a large number of antennas at the transmitter and receiver, massive multiple-input multiple-output (MIMO) systems can achieve substantially high spectral efficiency as well as high stability and reliability. Nevertheless, one of the major challenges for its practical use is its computational complexity for symbol detection that grows exponentially with the number of antennas. In this work, we...
In next generation networks, ultra-dense small cell networks are emerging to deal with exponential data traffic increasing. With the deployment of small cells (SCs) becoming increasingly dense, these cells may be under-utilized during quite a few period of time. Depending on this circumstance, we aim to maximize the network energy efficiency by deactivating such under-utilized cells, subjecting to...
The higher order constellation scheme, i.e., 128AP-SK, has been adopted in the latest generation satellite digital video broadcasting (DVB-S2X) standard. It significantly improves the spectral efficiency, but also introduces serious complexity problems in the implementation of the demapper. This paper presents an efficient soft demapper for 128APSK of DVB-S2X based on the concept of decision region...
A novel self-normalized weighted bit-flipping (SNWBF) decoding algorithm for low-density parity-check (LDPC) codes is proposed. Compared to the best known weighted bit-flipping decoding, the SNWBF algorithm converges significantly faster but with little performance penalty. For decoding of LDPC codes, the proposed SNWBF algorithm considers not only the reliability of the neighboring check nodes, but...
Wireless multicasting plays an important role in currrent wireless communication standards (UMTS, LTE, etc) to support massive multimedia services. Wireless multicasting in the form of beamforming is regarded as an effective way to exploit the broadcast nature of wireless transmission to boost network throughput and ensure Quality of Service (QoS). However, the associated max-min fair (MMF) multicast...
Non-orthogonal multiple access (NOMA), which improves spectrum efficiency and system throughput, is one of the promising radio access techniques for 5G. In this paper, NOMA is combined with spatial multiplexing multiple-input multiple-output (MIMO) technology for enhanced spectral efficiency. In multi-stream MIMO signaling, we considered stronger far user's MIMO signal when detecting the near user's...
The compact genetic algorithm cGA is used in this paper to design an efficient soft-decision decoding algorithm, especially for the cyclic codes, because the cGA dramatically reduces the population's size and rapidly converges to the optimal solution compared to classical genetic algorithms. Our main contribution is to exploit the cyclic property of cyclic linear codes to reduce the complexity of...
A MUSIC-ML (MML) processing algorithm for 3-dimensional localization of underwater acoustic sources using a 2-dimensional acoustic vector (AVS) array was proposed recently. The MML processor performs source localization with high accuracy and resolution. But the hardware and computational complexity of the MML processor is very high. In this paper we propose the use of compressive sampling of the...
This paper focus on the problem of spectrum sensing based on multiple receive antennas. In this context, we propose a novel kurtosis based Combined Second Order Moments (CSOM) as a decision metric allowing to enhance the decision accuracy for both very low SNR environment and an uncertainty on the noise level estimation. Besides, a novel kurtosis based Square-Law Combining (SLC) test metric is proposed...
Cross-correlation metrics introduce a challenging performance for multiple antennas spectrum sensing in cognitive radio networks, since it permits to alleviate the drawback of the energy based approaches under low SNR and noise level uncertainty, while maintaining the low complexity. In this paper, we propose a novel sensing approach based on a linear soft weighting of the Combined Second Order Moment...
In this paper, an optimized codebook design based on rotated angles and extrinsic information transfer (EXIT) chart for a non-orthogonal multiple access scheme, called irregular sparse code multiple access (IrSCMA), is presented. Unlike regular SCMA, in IrSCMA, the defined degree of layer's resource nodes is different, which is beneficial to system performance.It is demonstrated that the new codebook...
Besides the determined construction of polar codes in BEC channels, different construction techniques have been proposed for AWGN channels. The current state-of-the-art algorithm starts with a design-SNR (or an operating SNR) and then processing is carried out to approximate each individual bit channel. However, as found in this paper, for fading channels, an operating SNR can not be directly used...
Sparse code multiple access (SCMA) is a novel non- orthogonal access technique for future multiple access, which increases the spectral efficiency by directly mapping data streams of multiple users to sparse codewords in different SCMA layers, and these SCMA layers are imposed on the same SCMA block composed of limited resource elements (REs). As the sparsity of codewords, message passing algorithm...
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...
The use of energy harvesting wireless sensor network (EH-WSN) is a rising wireless communication technology with a wide range of applications such as environment monitoring. Maximizing the number of samples collected by the sink from sensors is a key approach in order to minimize uncertainties for those applications. The considered system in this paper consists of an uplink scenario with EH sensors...
We propose an enhancement to the fast blind CD estimation method based on auto-correlation of signal power. The use of Hartley and Cosine transform allow 30% and 70% complexity reductions, within a maximum loss of 2% in accuracy.
Massive MIMO is a promising technology for the 5G mobile communications system and contributes to the enhancement of multi-user MIMO transmission. However, the user scheduling of multi-user MIMO transmission requires a high computational complexity because the matrix operation is performed to estimate SINR, which is used as a user selection criterion. In this paper, we investigate low complexity multi-user...
An eight-class SSVEP-based BCI system was designed and demonstrated in this study. To minimize the complexity of the traditional equipment and operation, only one work electrode was used. The work electrode was fabricated in our laboratory and designed as a claw-like structure with a diameter of 15 mm, featuring 8 small fingers of 4mm length and 2 mm diameter, and the weight was only 0.1g. The structure...
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