Wireless networking plays an extremely important role in civil and military applications. However, security of information transfer via wireless networks remains a challenging issue. It is critical to ensure that confidential data are accessible only the intended users rather than intruders. Jamming eavesdropping two primary attacks at physical layer network. This article offers tutorial on several prevalent methods enhance networks. We classify these based their characteristic features into...

In the last year or so, significant momentum has started to build around idea of a fifth generation (5G) for wireless communications technology. New research projects have internationally, and centers devoted 5G technology begun open. At ICC 2013 conference in Budapest, there were number keynote talks special invited sessions addressing some key concepts This Special Issue was created by IEEE Communications Magazine help readers understand current perspectives on from both industry academic...

The efficiency of drug development defined as a number successfully launched new pharmaceuticals normalized by financial investments has significantly declined. Nonetheless, recent advances in high-throughput experimental techniques and computational modeling promise reductions the costs times required to bring drugs market. prediction toxicity candidates is one important components modern discovery. In this work, we describe eToxPred, approach reliably estimate synthetic accessibility small...

The millimeter-wave (mmWave) radar technology has attracted significant attention because it is susceptible to environmental lighting, wall shielding, and privacy concern. This article proposes a novel noninvasive human activity recognition system using mmWave radar. proposed framework first transforms signals into point clouds. Generally speaking, consists of four major components: denosing, enhanced voxelization, data augmentation, dual-view machine learning lead accurate efficient...

Specific emitter identification (SEI) is a highly potential technology for physical-layer authentication that one of the most critical supplements upper-layer authentication. SEI based on radio frequency (RF) features from circuit difference, rather than cryptography. These are inherent characteristics hardware circuits, which difficult to counterfeit. Recently, various deep learning (DL)-based conventional methods have been proposed, and achieved advanced performances. However, these...

Blind signal processing methods have been very popular recently since they can play crucial roles in the prevalent cognitive radio research. encoder identification has drawn research interest lately. In this paper, we would like to tackle blind of binary low-density parity-check (LDPC) codes for phase-shift keying (BPSK) signals. We propose a novel system which consists three components, namely expectation-maximization (EM) estimator amplitude and noise variance, log-likelihood ratio (LLR)...

In the February 2014 issue of IEEE Communications Magazine, first part this Feature Topic included nine articles that covered range visions for fifth generation (5G) wireless systems. This technology is expected to be standardized and deployed in next five ten years. will address more detail many technical issues approaches 5G

Cognitive radio network (CRN) and non-orthogonal multiple-access (NOMA) play the crucial roles in fifth generation wireless communication systems. However, physical-layer security still remains quite challenging. In this letter, a downlink cascaded transmitting zero-forcing-beamforming (ZFBF) technique is proposed to secure communications two-cell multiple-input multiple-output (MIMO) NOMA-based CRN. The protects information from illegitimate users (eavesdroppers) within same adjacent cells....

Computer-aided automatic brain-tumor detection has been a very important biomedical engineering research problem for years. As the sizes and shapes of tumors vary dramatically from subject to another, how build robust detector is still quite challenging nowadays. There exist many signal processing approaches detection. In this work, we focus on approach based active contour models magnetic resonance imaging (MRI) as it not only can detect existence one or more but also measure size(s),...

A user-specific interleaver design for interleave-division multiple-access (IDMA) systems is proposed. This method can solve the memory cost problem chip-level interleavers, and reduce amount of information exchange between mobile stations base to specify used as their identifications.

Due to its spectral efficiency and robustness over multipath channels, orthogonal frequency-division multiplexing (OFDM) has served as one of the major modulation schemes for high-speed communication systems. In future, wireless OFDM systems are expected operate at high carrier frequencies, speed, throughput mobile reception, where fast time-varying fading channels encountered. Channel variation destroys orthogonality among subcarriers leads intercarrier interference (ICI). ICI poses a...

OFDM has been applied in a wide variety of wireless communications recent years since it the advantage over conventional single-carrier modulation schemes when enduring frequency-selective fading. However, intercarrier-interference (ICI) and interblock interference (IBI) due to Doppler effect, carrier frequency drift local oscillators multipath fading limit capability systems. In this paper, new generalized mathematical model for intercarrier interferences is derived mobile systems, which...

Biological systems present remarkable adaptation, reliability, and robustness in various environments, even under hostility. Most of them are controlled by the individuals a distributed self-organized way. These biological mechanisms provide useful resources for designing dynamical adaptive routing schemes wireless mobile sensor networks, which individual nodes should ideally operate without central control. This paper investigates crucial biologically inspired associated techniques...

A novel automatic modulation classification method based on the graph presentation of cyclic spectrum is proposed. In our proposed scheme, periodicity and symmetry will be exploited to establish a concise feature representation multiple graphs. The modulated signal first transformed from cycle-frequency domain into domain. Consequently, graph-presentation, namely, set weighted directed rings, formulated as robust features original signal. Those can easily expressed by corresponding adjacency...

This paper introduces a novel automatic modulation classification (AMC) method using the graph-based fractional lower-order cyclic-spectrum analysis in α-stable noise environment. The practical communication scenario usually exhibits impulse characteristics statistical sense, which could be modeled as distribution. would make secondor higher-order statistics of received signal vanish, and thus performances conventional AMC algorithms designed for Gaussian significantly deteriorate when...

The physical layer security (PLS) has become crucial in the fifth generation (5G) wireless technology where non-orthogonal multiple-access (NOMA) plays an essential role for sharing spectrum among multiple users. Multiple-input multiple-output (MIMO)-NOMA based cognitive radio network (CRN) enhances spectral-efficiency at cost of PLS. In this paper, a transmit-zero-forcing beamforming (ZFBF) technique with signal alignment is proposed to improve PLS MIMO-NOMA CRN when perfect channel state...

In signal processing and data analytics, Wiener filter is a classical powerful tool to transform an input match desired or target by linear time-invariant (LTI) filter. The of one-dimensional while its associated least-squares solution, namely Wiener-Hopf equation, involves two-dimensional data-array, correlation matrix. However, the actual should often be carried out between multi-dimensional filtered signal-sequence, which output multi-channel characterized as linear-time-invariant MIMO...

Specific emitter identification (SEI) plays an important role in secure Industrial Internet of Things (IIoT). In recent years, many SEI methods based on machine learning (ML) and deep (DL) have been proposed due to their great performance. However, DL-based are accompanied by huge computation overhead, which is not suitable for IIoT applications. addition, the existing ML-based rely feature extraction a heavy redundant classifier, do ensure optimal combination efficient computation. To solve...

A novel blind parameter-estimation method, which identifies a turbo encoder, is proposed in this paper. The estimator designed using an iterative expectation-maximization (EM) algorithm. To facilitate innovative estimation scheme, we transform the recursive systematic convolutional (RSC) encoder into non-systematic preceded by feedback encoder. effect of separate on state sequence forward will be studied. Besides, effectiveness our new scheme evaluated Monte Carlo simulations.

In this paper, the DTV (digital television) spectrum sensing problem is studied, which plays a key role in cognitive radio. contrast to existing higher-order-statistics (HOS) approach, we propose novel robust spectrum-sensing method, based on JB (Jarqur-Bera) statistic. our studies, detector may often not be when sample size small. Our proposed heuristically justified superior for simulated microphone signals as well real signals. Moreover, computational complexity analysis new and HOS also...

Optimal road side unit (RSU) deployment is of crucial importance to vehicular ad hoc networks. The RSU (RD) problem models in the literature usually lack ability describe curve-shaped roads and nonuniform statistics. We had proposed a more realistic RD model taking these features into consideration. However, our understanding with new still seriously limited. In this paper, we try deepen one-dimensional (D1RD) by analyzing its properties designing optimal efficient approximate algorithms for...

In this paper, a novel robust graph-based adequate and concise information representation paradigm is explored. This new signal framework can provide promising alternative for manifesting the essential structure of random signals. A typical application, namely, target detection within sea clutter, thus be carried out using our proposed characterization. According to Monte Carlo simulation results, (target) method leads outstanding performance, compared other existing techniques, especially...

With the emerging demand for intelligent health surveillance, video information has been widely explored to facilitate real-time automatic patient monitoring systems. Recently, human-posture recognition techniques based on deep learning or artificial intelligence networks have reported in literature. Nonetheless, during training, testing, both stages, it is quite difficult extract reliable features all postures be recognized. In this work, we propose a robust multiperspective abnormal...

Source localization for wideband signals using acoustic sensor networks has drawn much research interest recently. The maximum-likelihood is the predominant objective a wide variety of source approaches, and we have previously proposed an expectation-maximization (EM) algorithm to solve problem. In this paper, tackle problem based on realistic assumption that sources are corrupted by spatially-non-white noise. We explore respective limitations our recently algorithm, namely EM design new...

Proper deployment of roadside units (RSUs) is crucial importance to vehicular ad hoc networks (VANETs). However, our understandings the simple one-dimensional RSU Deployment (D1RD) problem with nonuniform profit density still seriously limited. In this paper, we analyze D1RD and try design optimal algorithms for it. We first properties solutions involving a single RSU, then extend multiple RSUs. Next, propose an efficient technique named Dynamic Limiting (DynLim), which reduces solution...