Cognitive Radio (CR) and Cooperative Communication provide key technologies for efficient utilization of available unused spectrum bands (called resources) to achieve a spectral efficient system with high throughput. But to achieve its full potential, it is essential to empower the brain of CR that is Cognitive Engine (CE), using machine learning algorithms to control the operation and adapt parameters

In this paper, we investigate a secure cognitive radio network (CRN), which deploys non-orthogonal multiple access (NOMA) to deliver a mixed multicast and unicast traffic to the intended receivers, while keeping them secret from the eavesdroppers. This model represents a cognitive interference channel with an external eavesdropper (CIC-EE). In this model, there are one pair of primary nodes, one pair

Frequency spreading filter bank multicarrier (FS-FBMC) is widely considered as a potential candidate for the air interface of the next-generation mobile communication, 5G. The prototype filter plays a pivot role in the frequency–time confinements to obtain a better performance, as a result of mitigating the inter-carrier interference and the inter-symbol interference. In this work, the architecture

In fifth-generation (5G) wireless communication systems, non-orthogonal multiple access (NOMA) has been considered as a promising multiple access technique. In this paper, a NOMA-based cooperative relay system (CRS) is proposed and analyzed. In contrast to the conventional cooperative relay NOMA system (system model in Kim and Lee (2015)), the proposed NOMA-based CRS allows a source and a relay to

The peak-to-average power ratio (PAPR) is one of the most serious issues to be dwelled on, carefully, in wireless communication. It is not possible to take the advantage of multicarrier transmission strategy without handling the problem of high PAPR arising from the usage of multiple subcarriers for generating the time domain transmission signals. As being a kind of multicarrier waveform, universal

In this paper, beamforming for device-to-device communication under channel uncertainty arising from incomplete channel state information is considered. The problem is first formulated as a non-robust minimization problem subject to signal-to-interference-plus-noise ratio, transmit power and interference constraints. Using semi-definite relaxation, a tractable convex robust counterpart of the beamforming

Emerging communication systems can benefit from time-reversal (TR) technology thanks to its good spatio-temporal signal focusing effect. The recent advances in low-cost wideband devices fabrication further leverage the use of TR wideband communication systems. The TR is generally carried out in the time domain and the focusing effect of TR comes from the use of a high transmit rate back-off factor

In this paper, we introduce a novel modulation recognition method of digital communication signals with alpha-stable noise to solve the problem of low recognition performance in mixed signal-to-noise-ratio environment. The received signals are separated into signals and alpha-stable noise by employing fractional lower order fast independent component analysis (FLO-Fast-ICA), and then the separated

To meet the anticipated challenges of the fifth-generation and beyond wireless networks, multiple candidate technologies are needed to be integrated. Motivating by this, two cooperative simultaneous wireless information and power transfer (SWIPT) protocols are proposed in this study for cellular internet of things (IoT) networks by exploiting non-orthogonal multiple access considering two different

As the radio spectrum becomes increasingly crowded, the superior spectral capacity in the visible light range becomes increasingly attractive. Visible light communication (VLC) technology uses the light waves from light emitting diode (LED) lamps and overheads to stream data and connect people as a more efficient, more available, and more secure alternative to Wireless Fidelity (Wi-Fi). The aim of

This paper deals with the problem of device’s location using Wi-Fi signal strength in an indoor environment. In order to improve the location accuracy a new fingerprinting-probabilistic algorithm is proposed. In this algorithm, the probability distribution of the Received Signal Strength (RSS) by a Mobile User (MU) from several Access Points (AP) is approximated using the Gaussian Mixture Model (GMM)

The ordered statistics (OS) scheme is an effective constant false alarm rate (CFAR) technique deployed in many radar systems. It is widely deployed because of its simplicity and effectiveness under conditions of both homogeneous and non-homogeneous radar returns. However, the problem of inaccurate censoring typically degrades its performance since it is often difficult to accurately determine the actual

In this paper, we propose a secure hybrid pulse compression method for radar waveform design. This method uses a confidential code as the phase-code for the binary-shift keying modulation. We also use another confidential code for the frequency-code. This code is replaced in the frequency control register of a direct digital synthesizer to perform the narrow-band frequency-shift keying. We exploit

Automatic modulation classification (AMC) is a critical step to recognize the unknown signal modulation types. It is widely applied in non-cooperative communication systems with diverse modulation types and complex communication environments. In recent years, existing deep learning based AMC methods have been developed to improve the performance of classification in additive white Gaussian noise (AWGN)

In vehicle-to-network (V2N) communication, it is a great challenge to remain the communication performance of vehicles at all times in case of the mobility of vehicles. This paper investigates a novel architecture of unmanned aerial vehicle (UAV)-assisted V2N communication, where UAV with caching serves as a carrier of flying base station to jointly communicate with vehicles. The optimization problem

This paper presents a novel nature inspired dragonfly based, optimization paradigm, named as dragonfly search convergence and coverage algorithm (DSCCA) for resource allocation in an industrial wireless network. This paradigm imitates the swarming behavior of the dragonfly for optimized and efficient resource allocation to fulfill multi-objective of better throughput, low error probability, and low

This paper addresses turbo codes with component convolutional codes as those in the Long Term Evolution (LTE) standard. We consider the interleaver lengths of the form L=32kLΨ, with kL∈{1,3} and Ψ is a product of prime numbers greater than three. For these interleaver lengths, we have shown that a true cubic permutation polynomial (CPP) f1x+f2x2+f3x3(modL), under the constraint f3=0(modpi) when a prime

The wide application of contour stellar images has helped researchers transform signal classification problems into image classification problems to solve signal recognition based on deep learning. However, deep neural networks (DNN) are quite vulnerable to adversarial examples, thus simply evaluating the adversarial attack performance on the signal sequence recognition model cannot meet the current

To detect and estimate the faults of discrete linear time-varying uncertain systems, a discrete learning strategy is applied to fault diagnosis, and a new fault-detection and estimation algorithm is proposed. The algorithm adopts the threshold-limit technology. In the selected optimal time domain, a residual signal is used to perform iterative learning correction for the introduced virtual faults so

A subset of the synchronization algorithms in a wireless receiver are responsible for tracking the phase and frequency of a digitally modulated signal. If variations of the phase in the signal are substantial, then the receiver might be unable to track them leading to inability to demodulate the data. In this paper we propose a method for improving the secrecy of wireless communication by ensuring

To cope up with drastically increasing demand for radio resources lead to raise a challenge to the wireless community. The limited radio spectrum and fixed spectrum allocation strategy have become a bottleneck for various wireless communication. Cognitive Radio (CR) technology along with potential benefits of machine learning has attracted substantial research interest especially in the context of

In this paper, we introduce new totally blind spectrum sensing (SS) algorithms, for fast time-varying channel, based on eigenvalue decomposition (EVD) of the covariance matrix of the received signal. The new scheme is based on the sliding window whose the size depends on the coherence time of the channel. First, we evaluate the impact of the mobility on the detection performance. Then, by applying

The process of joint user and receive antenna scheduling is very vital in the uplink direction of multi-antenna wireless data communications system with multiple users. With higher number of receive antennas and active users, the search space becomes huge for the joint user and receive antenna scheduling process. It is very difficult to accomplish the searching through the entire search space within

This article presents a novel flexible wideband ink-printed dipole array antenna for emerging medical sensing and human body wearable electronics applications. The antenna operates from 23 GHz to 30 GHz, including 24.5 GHz and 28 GHz for 5G application. The antenna consists of simple layered screen printed structure, which is suitable for rapid prototyping with printing technology. Both simulation

Massive multiple-input-multiple-output (M-MIMO) is a key technology for 5G networks. Within this research area, new types of deployment are arising, such as the extremely-large regime (XL-MIMO), where the antenna array at the base station (BS) has extreme dimensions. As a consequence, spatial non-stationary properties appear as the users see only a portion of the antenna array, which is called visibility

Non-Orthogonal Multiple Access (NOMA) has been a hot research topic over the past years, because it is widely viewed as a promising technology for 5G cellular networks and beyond. The NOMA literature today is heavily based on the so-called Power-Domain NOMA (PD-NOMA), which consists of superposing user signals with different powers. Also, the focus in the literature has been on the derivation of achievable

This paper presents a new algorithm to find a bottleneck link in single rate two-pair networks using the region decomposition method. The algorithm runs in O(|E|) time, which improves upon the previous polynomial time of O(|V||E|3) due to Cai and Fan (2006), where |E| and |V| denote the number of edges and nodes, respectively.

The extensive utilization of Internet of Things (IoT) devices in a wide range of services prompts spectrum scarcity. Recently, Cognitive Radio Networks (CRNs) have shown promising results in addressing the spectrum scarcity problem. Therefore, CRNs are envisaged to play a crucial role in accommodating the massive number of emerging IoT devices. However, two dominant shortcomings hinder the coalescence

In this paper, the problem of distributed energy-efficiency maximization in energy-harvesting uplink non-orthogonal multiple-access (NOMA) relay ad-hoc networks is considered. Particularly, the aim is to allow each user to maximize its energy-efficiency (EE) in a distributed manner over an energy-harvesting amplify-and-forward relay, while satisfying its quality-of-service (QoS) constraint. To this

Accurate system modeling is a crucial requirement while realizing efficient and reliable communication over Internet of Things (IoT) infrastructure. The assumption of ideal hardware causes huge deviation in the performance of systems as estimated from such theoretical models and their practical implementations. In this paper, we study this fact over N pairs of source and destination IoT devices/nodes

In this paper, we study power and subcarrier allocation in decode-and-forward (DF) cognitive relay network based on orthogonal frequency division multiple access (OFDMA) technology, in which power splitting (PS) is used for the secondary users (SUs) supporting simultaneous wireless information and the power transfer (SWIPT). We attempt to maximize the energy efficiency (EE) of the secondary system

In this paper, we investigate mobile edge computing (MEC) networks for intelligent internet of things (IoT), where multiple users have some computational tasks assisted by multiple computational access points (CAPs). By offloading some tasks to the CAPs, the system performance can be improved through reducing the latency and energy consumption, which are the two important metrics of interest in the

The Internet of Things (IoT) is increasingly flourishing with establishing ubiquitous connections in every aspect of our daily lives and industrial production. However, the active physical-layer threats such as spoofing and jamming largely degrades the communication performance and makes the IoT network messy. Automatic modulation classification (AMC), which identifies the modulation formats of the

This paper evaluates the performance of a reconfigurable intelligent surface (RIS)-assisted mobile system with random user mobility. The RIS is assumed to act as an intelligent access point and the system channel follows Fisher–Snedecor (F) distribution with the user mobility subjected to random way point (RWP) model. Based on this, the novel probability distribution function (PDF) are derived for

In this paper, we propose an ultra-reliable multiuser multiple-input multiple-output (MU-MIMO) detector based on deep learning for the fifth-generation and beyond the fifth-generation (5G/B5G) enabled Internet of Things (IoT), where the system is operating in interfering environments correlated over the time or frequency domain. For this system, we employ an iterative detection framework of a conventional

In this paper, role switching and power allocation schemes are proposed to tackle user mobility in non-orthogonal multiple access (NOMA) systems. A downlink transmission scenario is considered, where two highly mobile users, a cell center user and a cell edge user, are paired/served over the same channel resource using NOMA. In such high mobility scenarios, when these users come very close to, or even

We consider a confidential wireless multicasting scenario in which a base station sends a common stream of information to a group of U users via K relays. V eavesdroppers are trying to decode that confidential information. We are interested to protect the decoding of that information and to see, how the opportunistic relaying can be used to enhance the level of security reducing the effect of correlations

Compared with wheeled robots, the walking direction and distance of biped robots are difficult to accurately control, and the body of the robot will periodically shake during walking. During the walking of the biped robot, the movement of the torso drives the head camera to shake, which causes great interference to the slam algorithm, and leads to deviations in the vision-based mileage estimation method

We study a self-organizing wireless network in which the number of active connections to the typical user equipment (UE) is dynamic, in order to sustain temporally varying network traffic. Using tools of stochastic geometry, we show that even though the signal coverage improves with a higher degree of connectivity, the per-user throughput may degrade. Consequently, the operator needs to reconfigure

The next-generation wireless communication systems must address the compensation of in-phase and quadrature phase imbalance (IQI), carrier frequency offset (CFO), and doubly selective channel (DSC) to provide a high quality of service for high mobility users with low-cost radio . None of the existing works consider all these RF impairments under DSC for multi-user scenario. To address this gap, in

Non-orthogonal multiple access (NOMA) combined with multiple-input multiple-output (MIMO) can greatly increase the system throughput, but it will cause additional interference. Generally, the interference can be eliminated by utilizing the precoding technology. The previous studies preferentially focused on the channel difference between users, and neglected the lowly correlated scenarios, leading

Caching has emerged as an efficient technique to reduce delivery latency and network congestion. The focus of this paper is on content delivery in the caching-based wireless systems. In view of the fact that in such systems, users store fractional of popular contents during off-peak hours, we propose a modified version of the Luby Transform (MLT) encoding for the delivery phase to take the advantage

Recently, the orthogonal frequency-division multiplexing (OFDM) system has become an appropriate technique to be applied on the physical layer in various requests, mainly in wireless communication standards, which is the reason to use OFDM within mobile wireless medical applications. The OFDM with cyclic prefix (CP) can compensate lacks for the time-invariant multi-path channel effects using a single

The RTCA (Radio Technical Commission for Aeronautics) DO-260B document has stimulated in latest years the adoption of novel algorithms to improve the ability of receivers to detect and decode ADS-B (Automatic Dependent Surveillance-Broadcast) signals, with particular emphasis on preamble detection, declaration of bit state and confidence level, detection and correction of errors. Motivated by an industry-driven

In this paper, we investigate the interference suppression by exploiting wireless cache in relaying networks for beyond fifth-generation (B5G) communications, where multiple decode-and-forward (DF) relays equipped with wireless cache assist the data transmission from the source to the destination over cochannel interference environments. To alleviate the severe effect of interference, wireless cache

Constitutional design is a new grammatical relationship and thinking mode of modern morphological design. It reflects the basic characteristics of modern design that engages in the essence of things and uses analysis and comprehensive scientific methods to create shapes. Genetic algorithms are bionic algorithms in a macro sense and a branch of evolutionary algorithms. The structure of neural networks

This paper studies the problem of joint relay selection and power allocation (J-RS-PA) for non-orthogonal multiple-access (NOMA)-based multicast cognitive radio networks with energy-harvesting (EH) relays. Particularly, the primary and secondary transmitters communicate with their receivers over EH amplify-and-forward relays, with the aim of simultaneously maximizing the network sum-rate, minimizing

In this paper, the physical layer security is investigated in a dual-hop wireless communication scenario, where an energy-constrained relay not only assists the source-to-destination information transmission, but also acts as a potential eavesdropper wiretapping the source information. We take into account both antenna mode switching and destination selection for the amplify and forward relaying network

Mobile edge computing (MEC) is an attractive solution for the contradiction between huge computation resources and limited processing capacity of vehicular terminals, especially for the emerging 5G and beyond 5G (B5G) vehicular networks. However, most of the existing studies focus either on data interactions among moving vehicles or communications between vehicles and road side units (RSUs), ignoring

Based on the inverted pendulum model, gait planning of biped robot is carried out, which makes it walk steadily and realizes steering in one step. Aiming at the stability of the turning poses of the humanoid robot, this paper studies the landing stability analysis of the robot, the planning and control of landing after turning, improves the inverted pendulum model, and introduces the turning angle

Filter Bank Multicarrier (FBMC) is a multicarrier scheme that employs shaping filter for improved spectral properties. In this paper, a low complexity data-aided symbol timing and carrier frequency offset synchronization technique for FBMC is presented for continuous mode transmission. Two training sequences based on Zadoff–Chu sequence are proposed. The first sequence is called the Long Sequence that

Indoor intrusion detection based on Wireless Local Area Network (WLAN) has been widely used for security monitoring, smart homes, entertainment games, and many other fields in the Beyond 5G (B5G) wireless communication network environment. Most existing indoor intrusion detection methods directly exploit the Received Signal Strength (RSS) data collected by Monitor Points (MPs) and pay little attention

In this paper, we introduce a method to estimate the drone location in a wireless sensor field (SF). The sensors are assumed to be installed in a field in a doublets form (i.e., each two sensors are combined to form a doublet). Each doublet in the near drone location can be used to estimate the angle between the doublet axis and the line connecting the drone to doublet’s vertex. The locus of this angle

Utilization of flying platforms like Unmanned Aerial Vehicles (UAVs) is progressively increasing in our daily lives. Key characteristics such as flexibility, mobility and adaptive altitude, make UAVs particularly suitable for application in areas such as crop management, goods delivery, public safety and real-time video surveillance of public places to assist in terrestrial networks. IEEE 802.11ah

Deep learning based intelligent intrusion detection (IID) methods have been received strongly attention for computer security protection in cybersecurity. All these learning models are trained at either a single user server or centralized server. For one thing, it is almost impossible to train a powerful deep learning model at a single user. For other, it will encounter intrusion risks at centre server

Frequency allocation in small cell-based green heterogeneous mobile networks is a demanding research domain nowadays. Femtocells are the essential components of small cell networks. In this paper, we propose a low power micro-femtocell network using the master–slave algorithm. In the master–slave algorithm, the master node allocates work to the slave nodes. When a slave ends its task given by a master

In order to find a solution for the target coverage problem in directional sensor networks (DSNs), some researchers have recently introduced several efficient algorithms. These sensors are conventionally supposed to have a single power level and a single coverage is just needed for targets. In other words, there are various sensing ranges and power consumptions for these sensors under real conditions

Nowadays, the demand for mobile wireless communication systems has increased drastically due to its significant use for various real-time applications. This increased demand for communication causes heavy utilization of the radio spectrum to improve ubiquitous computing services. However, systems providing high-speed communication fail to achieve the desired performance due to unsystematic spectrum