The thriving of artificial intelligence (AI) applications is driving the further evolution wireless networks. It has been envisioned that 6G will be transformative and revolutionize from "connected things" to intelligence". However, state-of-the-art deep learning big data analytics based AI systems require tremendous computation communication resources, causing significant latency, energy consumption, network congestion, privacy leakage in both training inference processes. By embedding...

In this paper, we introduce a simple geometric approach that is based on signal-space concepts to efficiently evaluate the performance of M-ary phase-shift keying (M-PSK) and quadrature amplitude modulation (M-QAM) schemes over an additive white Gaussian noise channel. particular, new bit error rate approximations are derived shown be in excellent agreement with Monte Carlo simulation results.

The three-step search (TSS) algorithm for block-matching motion estimation, due to its simplicity, significant computational reduction, and good performance, has been widely used in real-time video applications. A new is proposed further reduction of complexity estimation. It shown that the simple efficient requires about one half computation TSS while keeping same regularity performance.

A general companding transform method is proposed to effectively reduce peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. By compressing large signals while enhancing small along with taking into account their statistical characteristics, this can achieve significant reduction in PAPR low implementation complexity. Specifically, we present the design criteria transform, which enable effective tradeoff between and bit-error rate performance OFDM...

This paper proposes a power optimization scheme with joint resource allocation (i.e. subcarrier and bit allocation) mode selection in an OFDMA system integrated D2D communications. Through the proper control of base station (BS), users can communicate each other either directly or via BSs as traditional cellular networks. Particularly, problem is formulated to minimize total downlink transmission constrained by users' QoS demands; while heuristic exploiting allocation, adaptive modulation...

Quality of experience (QoE) serves as a direct evaluation users' experiences in mobile video transmission and thus essential for network management, such optimization. In this paper, we propose deep learning-based QoE prediction approach with large-scale dataset transmission. Specifically, develop phone application collecting user data when viewing videos transmitted over the internet practical environment. Then, construct by 80000 piece four kinds subjective scores 89 parameters. Each...

Deep learning has been successfully introduced for 2D-image denoising, but it is still unsatisfactory hyperspectral image (HSI) denoising due to the unacceptable computational complexity of end-to-end training process and difficulty building a universal 3D-image dataset. In this paper, instead developing an deep network, we propose HSI framework removal mixed Gaussian impulse noise, in which problem modeled as convolutional neural network (CNN) constrained non-negative matrix factorization...

Brain-inspired cognitive systems (BCSs) are an emerging field of cybernetics, science, and system science. BCSs study not only the intelligence science foundations artificial (AI) systems, but also formal models brain embodied by computational intelligence. This article presents BCS toward hybrid intelligent symbiotic humanity. It explores transdisciplinary theoretical system, brain, intelligence, knowledge, cybernetic, sciences next generation knowledge processors beyond classic data for...

New exact expressions involving hypergeometric functions are derived for the symbol-error rate (SER) of M-ary quadrature amplitude modulation (MQAM) L branch diversity reception in Rayleigh fading and additive white Gaussian noise (AWGN). The combining techniques considered maximum ratio (MRC) selection (SC). MRC with identical channels dissimilar analyzed.

The contemporary wonder of sciences and engineering has recently refocused on the beginning point of: how brain processes internal external information autonomously cognitively rather than imperatively like conventional computers. Cognitive Informatics (CI) is a transdisciplinary enquiry computer science, sciences, cognitive intelligence science that investigates processing mechanisms natural intelligence, as well their applications in computing. This paper reports set eight position...

In this paper, we study how to improve wireless security for bidirectional communications. For the scenario with single-antenna nodes, effective criteria relay and jamming node selection are developed ensure that probability have nonzero secrecy rates is approaching one, given sufficient relays. multiple-antenna precoding proposed mutual information obtained at eavesdropper decreases zero when there a number of

An alternative derivation for the well-known approximate message passing (AMP) algorithm proposed by Donoho is presented in this letter. Compared with original derivation, which exploits central limit theorem and Taylor expansion to simplify belief propagation (BP), our resorts expectation (EP) neglect of high-order terms large system limit. This leads a different yet provably equivalent form passing, explicitly establishes intrinsic connection between AMP EP, thereby offering some new...

Network slicing is one the key features of software-defined networks (SDNs) and can be used in next-generation communication networks. Admission control network slices basis providing heterogeneous quality-of-service performance guarantee maximizing optimization objectives operator. Various admission mechanisms have been proposed literature, including those based on traffic forecasting. However, recurrent neural network-based probabilistic forecasting models not given thorough consideration...

Due to the heterogeneity of Internet Things (IoT) devices and diversity IoT communication protocols, it is challenging model behaviors facilitate attack defense. Considering complex correlation between device types patterns their behaviors, one possible solution cluster into different based on characteristics deal with each type, respectively. However, traffic includes a significant proportion abnormal traffic, such as sourcing from compromised devices, which cannot reflect behavioral source...

This paper addresses the problem of joint power and bandwidth allocation for a general multiuser satellite downlink system. In contrast to existing studies, this work focuses on heterogeneous services, including both real-time non-real-time ones. Subject delay constraints system throughput is maximized over multiple time slots, while Weibull-based channel model exploited rain attenuation prediction. Based dual decomposition method, derived with relaxation constraints. Then by introducing...

Automated maritime object detection is a significant research challenge in intelligent marine surveillance systems for the Internet of Things (IoT) and smart ocean applications. In particular, ship recognized as one core issues these IoT-driven systems. Traditional methods based on machine learning have made some achievements tasks specific objects. However, objects are relatively small, they usually not accurately detected. this article, we propose an electroencephalography (EEG)-based...

To enhance the bit error rate (BER) performance for dual-function radar-communication (DFRC), we investigate problem of adaptive bit/power allocation with beamforming. Firstly, formulate as a BER minimization subject to radar signal-to-interference-plus-noise ratio (SINR), sidelobe information (SLI), and available resource constraints. Secondly, devise an alternation optimization algorithm that divides non-convex into several low-complexity iteratively updated subproblems. Finally,...

This paper focuses on fusing hyperspectral and multispectral images with an unknown arbitrary point spread function (PSF). Instead of obtaining the fused image based estimation PSF, a novel model is proposed without intervention PSF under Bayesian framework, in which decomposed into double subspace-constrained matrix-factorization-based components residuals. On basis model, fusion problem cast as minimum mean square error estimator three factor matrices. Then, to approximate posterior...

Due to the limited transmission resources for data relay in tracking and satellite system (TDRSS), there are many job requirements busy days which will be discarded conventional scheduling model. Therefore, improvement of efficiency TDRSS can not only help increase resource utilities, but also reduce failure ratio. A model nonhomogeneous parallel machines problems with time window (NPM-TW) is firstly built up TDRSS, considering distinct features variable preparation rates different types...

In this brief we propose a multisample sparse representation (MSR)-based online dictionary-learning approach to encode images more efficiently. To minimize the reconstructed error while handling variety of image samples, develop method capable obtaining sparser coefficients combined with learning dictionaries on-the-fly. With well-learned dictionary, further derive an MSR-based coding quantized reduced errors. Experimental results demonstrate rapid convergence proposed algorithm and improved...

Human perception sensitivity to video distortion is vital for visual quality assessment (VQA). Different from the mechanism of image that has been thoroughly studied, inevitably influenced by motion dynamic content due characteristics human system (HVS). In this paper, electroencephalography (EEG) used as a novel psychophysiological method study quantification-aroused under various conditions. For purpose, we conduct experiments record EEG signals subjects when they are watching distorted...