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A non-orthogonal multicarrier signal, termed spectrally efficient frequency division multiplexing (SEFDM), is investigated in this work. It improves spectral efficiency by compressing sub-carrier spacing below the symbol rate at the cost of self-created inter carrier interference (ICI). Sphere decoding (SD) is an efficient method to recover signals approaching maximum likelihood (ML) performance....
Sparse-code multiple-access (SCMA) is a novel multiplexing method to increase the capacity of wireless communication systems. By giving users non-orthogonal codebook with few non-zero entries, the SCMA approach can highly improve the spectral efficiency, compared with traditional orthogonal ones such as CDMA, with tolerable detection complexity. Therefore, it has been considered as an option for 5G...
In this paper, an improved and low-complexity signal detection approach for large-scale multiple-input multiple-output (MIMO) systems has been proposed. This approach utilizes the preconditioning technique to accelerate the conventional detection algorithm based on Gauss-Seidel (GS) iterative method, and achieves a detection performance close to the minimum mean square error (MMSE) detection algorithm...
By adopting multiple-input multiple-output (MIMO) technique, the spectral efficiency and data rate of wireless communication systems can be highly improved. To fully take the advantages of MIMO, belief prorogation (BP) detection methods are considered as a way in balancing the hardware complexity and error performance. Also with BP methods, polar code, which has been adopted by 3GPP eMBB control channel,...
As an alternative to classical multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM), MIMO-OFDM with index modulation (MIMO-OFDM-IM), which provides a flexible trade-off between spectral efficiency and error performance, has attracted considerable interest recently. However, in order to detect the active subcarrier indices and modulated symbols precisely, the receiver...
In this paper, we propose efficient Zero-Forcing (ZF) Detectors based on the a Group Detection (GD) approach in order to reduce the computational cost of the conventional linear detectors when they are adopted in Massive MIMO systems. Using the GD, we first divide a Massive MIMO system into two MIMO ones with smaller dimensions. Then, we apply the conventional ZF detector to the sub-systems to recover...
We introduce a low-complexity layered iterative sampling algorithm for near-optimal detection in uplink massive multiple-input multiple-output (MIMO) systems based on the Gibbs sampling. In contrast to the most of Gibbs-sampling-based detectors in the previous arts, which assuming the numbers of transmitting and receiving antennas are similar, in this paper we assume the number of receiving antennas...
Multiuser Detection (MUD) and Channel Estimation techniques in Space-Division Multiple Access aided Orthogonal Frequency Division Multiplexing (SDMA-OFDM) systems recently received intensive interest in receiver design technologies. The maximum likelihood (ML) MUD that provides optimal performance has the cost of a dramatically increased computational complexity. The minimum mean-squared error (MMSE)...
A modified Nested-Current-Mirror (NCM) Single-Stage amplifier, for high-resolution, liquid crystal display (LCD) panels, is presented in this paper. The proposed NCM is 12 times faster than the original NCM structure, without any extra power consumption. Slew rate (SR) of the NCM is improved 12 times and DC-gain is also improved 6 dB, while the power consumption, gain-bandwidth product (GBW), noise,...
Sparse Code Multiple Access (SCMA) is a promising multiple access technology candidate for 5G wireless communication systems. The high detection complexity is its bottleneck. Stochastic computation is an ultra-low complexity digital signal processing technique in which probabilities are represented and processed with streams of random bits. In this paper, we propose a novel low complexity stochastic...
In this paper, a novel, low-complexity, and hardware efficient signal detection algorithm and its corresponding VLSI architecture are proposed for massive multiple-input multiple-output (MIMO) systems. This method is based on the parallel Gauss-Seidel (PGS) iterative method, and achieves comparable detection performance as the linear minimum mean-square error (MMSE) detection. It successfully avoids...
Automatic blobs detection constitutes a basic but difficult problem. In this work a new fast blobs detection technique based on a scale-space representation of the original image, is proposed. The scale-space representation is constructed by using a new simplified form of the Fast Radial Symmetry Transform to precisely detect the essential blobs. From the experiments we have conducted, the proposed...
In this manuscript, a novel transmit pre-coding matrix generation method and a linear decoding scheme are proposed for the generalised pre-coding aided spatial modulation (GPSM) system. The GPSM scheme proposed recently is a new multiple input multiple output (MIMO) transmission technique, which conveys information by activating a subset of receive antennas with the aid of transmit pre-coding. This...
This paper presents a low-complexity two-dimensional (2D) detection strategy for shingled magnetic recording (SMR) media. The detection strategy involves the use of multi-level 2D BCJR detector along-track for inter-symbol interference (ISI) cancellation and regular BCJR detector across tracks for inter-track interference (ITI) cancellation. This is applied in a multi-track two dimensional magnetic...
In this paper, we propose a novel lattice reduction (LR) algorithm for the low-complexity multiple-input multiple-output (MIMO) detection with near-maximum-likelihood (ML) performance. The proposed LR algorithm is designed considering both the hardware complexity and the power consumption. First, a modified column traverse strategy is proposed to reduce the worst-case complexity (hardware complexity)...
Low power wide area network (LPWAN) receivers must first decide about the presence of a transmission in order to retrieve the information that was being sent by wireless sensor nodes. This is exacerbated by the use of modern coding techniques that are able operate at very low signal to noise ratio (SNR), and inaccuracies originating from the transmitter hardware. Several, mostly low complexity methods...
In contrast to the more prominent discrete-variable quantum key distribution (DV-QKD), which requires specialized hardware like single-photon detectors, the continuous-variable version (CV-QKD) promises low-cost and high-performance implementations by leveraging mature telecommunication technology. In this paper we demonstrate a simplified CV-QKD architecture based on analog frontends and digitizers...
Recently, a new multiple-input multiple-output (MIMO) transmission scheme termed as receive spatial modulation (RSM) is proposed, which activates a subset of receive antennas to carry additional information bits through the index domain. In this paper, a novel variant of RSM, which is referred to as enhanced RSM (ERSM), is proposed to further improve the system performance, especially in high-mobility...
Differential spatial modulation (DSM) is a novel attractive alternative technique for coherent spatial modulation (CSM) without channel state information (CSI) at the receiver. In this paper, iterative detection is firstly employed to improve the performance of DSM schemes. With the Hamming distance of two matrices reduced to the sum of simple elements, a lowcomplexity iterative detection scheme for...
Instantaneous or statistical channel state information (CSI) is needed for most detection schemes developed in the molecular communication (MC) literature. Since the MC channel changes, e.g., due to variations in the velocity of flow, the temperature, or the distance between transmitter and receiver, CSI acquisition has to be conducted repeatedly to keep track of CSI variations. Frequent CSI acquisition...
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