With the rapid development of wireless devices in recent years, the hardware tolerance of wireless devices has gradually become narrowed. Traditional radio frequency fingerprint(RF fingerprint) recognition methods are usually used based on single signal features, which will fail to characterize the subtle differences of wireless devices. Therefore, aiming at the shortcomings of traditional radio frequency

As one of the key technologies of 5G, Cloud Radio Access Networks (C-RAN) with cloud BBUs (Base Band Units) pool architecture and distributed RRHs (Remote Radio Heads) can provide the ubiquitous services. When failure occurs at RRH, it can’t be alleviated in time and will lead to a significant drop in network performance. Therefore, the cell outage compensation (COC) problem for RRH in 5G C-RAN is

School bullying is a common social problem, and school violence is considered to be the most harmful form of school bullying. Fortunately, with the development of movement sensors and pattern recognition techniques, it is possible to detect school violence with artificial intelligence. This paper proposes a school violence detecting method based on improved Relief-F and Dempster-Shafe (D-S) algorithms

A new meminductor based hyperchaotic oscillator and its mathematical model were presented. Meanwhile, some basic dynamic properties such as equilibrium point and stability were analyzed. Through Lyapunov exponents and bifurcation diagram and other commonly used dynamic analysis methods, the system’s dynamic characteristics were analyzed, and observed several special dynamic phenomena, such as coexisting

The mechanism of Coordinated Multi-Point (CoMP) can improve the spectral efficiency of the 4G and 5G cellular network, and also can reduce transmitting power of base stations (BSs). However, CoMP requires a large amount of energy due to extra signal processing and backhaul traffic. In this paper, an energy-efficient algorithm based on optimal dynamic clustering mechanism (ODCEM) for CoMP networks is

As an important material and technical support of the data link system, the communication network system not only plays an “adhesive” role in integrating the combat forces, optimizing the operational composition and realizing the complementary advantages of the system, but also greatly expands the system functions of the data link due to the accelerated expansion of the communication technology functions

The original version of this article unfortunately contained a mistake in the Affiliation section.

In wireless Internet of Things (IoT) systems, the multi-input multi-output (MIMO) and cognitive radio (CR) techniques are usually involved into the mobile edge computing (MEC) structure to improve the spectrum efficiency and transmission reliability. However, such a CR based MIMO IoT system will suffer from a variety of smart attacks from wireless environments, even the MEC servers in IoT systems are

In this paper, we study the distributed DOS problem in wireless multiple relays networks. By formulating cooperative scheduling as an extended multi-stage stopping problem, an optimal strategy is proposed achieving the maximal average network throughput for distributed channel access. The strategy is in a tri-level threshold structure, and the optimality is rigorously proved. Close-form expression

Vehicular fog computing (VFC) has been envisioned as a promising paradigm for enabling a variety of emerging intelligent transportation systems (ITS). However, due to inevitable as well as non-negligible issues in wireless communication, including transmission latency and packet loss, it is still challenging in implementing safety-critical applications, such as real-time collision warning in vehicular

In extreme learning machine (ELM), a large number of hidden nodes are required due to the randomly generated hidden layer. To improve network compactness, the ELM with smoothed ℓ0 regularizer (ELM-SL0 for short) is studied in this paper. Firstly, the ℓ0 regularization penalty term is introduced into the conventional error function, such that the unimportant output weights are gradually forced to zeros

3D point cloud is one of the most common and basic 3D object representation model that is widely used in virtual/augmented reality applications, e.g., immersive communication. Compression of 3D point cloud is a big challenge because of its huge data volume and irregular data structure. In this paper, we propose a sampling-based compression algorithm for 3D point clouds. First, a 3D point cloud was

Resources allocation (RA) is a challenging task in many fields and applications including communications and computer networks. The conventional solutions of such problems usually come with a time and memory cost, especially for massive networks such as Internet-of-Things (IoT) networks. In this paper, two RA deep network models are proposed for enabling a clustered underlay IoT deployment, where a

The authors have retracted this article [1] as it overlaps significantly with a previously published article by Aboul-Dahab et al. [2]. All authors agree with this retraction.

In recent years, with the rapid development of Internet of Things (IoTs) and artificial intelligence, vehicular networks have transformed from simple interactive systems to smart integrated networks. The accompanying intelligent connected vehicles (ICVs) can communicate with each other and connect to the urban traffic information network, to support intelligent applications, i.e., autonomous driving

Wireless Powered Communication (WPC) provides an effective solution to the contradiction between information transmission and energy consumption for Internet of Things (IoT) terminals. In this paper, a clustered-Non-Orthogonal Multiple Access (C-NOMA) based WPC model is proposed. Base Station (BS) transfers Radio Frequency (RF) energy to all terminals in the downlink, while terminals transmit information

The distinguished features of screen contents lead to the development of the Screen Content Coding (SCC) extension of High Efficiency Video Coding (HEVC). Intra coding of HEVC-SCC has to evaluate traditional HEVC intra coding modes and additional modes for screen contents, which poses a challenge for coding such a content on mobile devices. Furthermore, the heterogeneous mobile devices have varying

To ease the configuration and maintenance of complex cellular networks, the self-organizing network (SON) is introduced. SON contains three major sub-functional groups: self-configuration, self-optimization, and self-healing. Among these, fault diagnosis in self-healing is crucial, and it is usually considered as a classification problem which is commonly addressed by supervised machine learning methods

The pseudo-analog wireless video transmission technology can improve the effectiveness, reliability, and robustness of the conventional digital system in video broadcast scenarios. Although some prototypes of IEEE 802.11 series have been developed for researchers to do simulations and experiments, they are usually expensive and provide very limited access to the physical layer. More importantly, these

Federated learning is a recently proposed paradigm that presents significant advantages in privacy-preserving machine learning services. It enables the deep learning applications on mobile devices, where a deep neural network (DNN) is trained in a decentralized manner among thousands of edge clients. However, directly apply the federated learning algorithm to the mobile edge computing environment will

The next generation of mobile-enabled wireless networks, known as 5G networks, is announced to be deployed by 2020. In the 5G framework, access technologies are one of the main features that would allow users to seamlessly connect to the Internet using any of the available technologies. These technologies are going to coexist in the same physical environment. This coexistence has the advantage of offering

Communication problems standout as the key issue needing to be addressed in Unmanned Aerial Vehicle (UAV) applications. Nowadays, the application of Artificial Intelligence (AI) technology provides a more flexible and effective organizing strategy for the UAV formation, but it also brings the challenges of transmission speed and access speed for the UAV networking technology.This highlights the importance

The IEEE 802.11ax for Wireless Local Area Network (WLAN), one of the most important wireless networks, will be released in 2020. In recent years, ultra-high definition video service and real-time applications attract increasing attention. Therefore, the next generation WLAN (beyond IEEE 802.11ax): IEEE 802.11be task group (TGbe) was formally established in 2019, which regards achieving extremely high

This work investigates the dynamical weighted deployment of mobile fog computing devices to support a mobile edge computing environment, in which each edge device is associated with a weight to reflect its importance based on the application. Since edge devices are mobile and could be switched off, it is challenging to dynamically optimize the deployment to adapt to dynamic change. This work further

Aiming at solving the problem of performance loss associated with non-coherent spatial modulation (NCSM) differential detection, this paper proposes a novel power allocation concept to the system, and on this basis, it is also proposed to use a new amplitude phase shift keying (APSK) constellation design method. Simulation results show that the proposed novel power allocation APSK non-coherent spatial

With the popularization of wireless heterogeneous networks, it is becoming more and more important to infer network behavior. Topology sensing, as a fundamental issue in the field of network confrontation, can help network make optimal decisions. However, most of the related studies focus on topology sensing with complete and perfect observations, while the characteristics of wireless channel are relatively

Vehicle re-identification (Re-ID) technology plays an important role in the intelligent transportation system for smart city. Due to various uncertain factors in the real-world scenarios, (e.g., resolution variation, viewpoint variation, illumination changes, occlusion, etc., vehicle Re-ID is a very challenging task. To resist the adverse effect of resolution variation, a joint pyramid feature representation

Nowadays, enterprises create and develope several strategies for reaching maximum logistic quality level desired. One of this strategies is consolidation cargo. According to Çetinkaya (2003), there are two approaches: pure policies and integral policies. Pure consolidation politics satisfies customer needs without considering implications from other organization areas. Integral consolidation politics

This paper investigates the relay energy allocation scheme based on the time switching (TS) operation strategy in multi-user simultaneous wireless information and power transfer (SWIPT) relaying system, where the relay is energy-constrained and utilizes the energy harvested in the energy harvesting mode to amplify and forward the information of the users. In the multi-user relaying system, the distances

Machine translation has become an irreplaceable application in the use of mobile phones. However, the current mainstream neural machine translation models depend on continuously increasing the amount of parameters to achieve better performance, which is not applicable to the mobile phone. In this paper, we improve the performance of neural machine translation (NMT) with shallow syntax (e.g., POS tag)

Indoor multiple target tracking is a promising research field that attracts many efforts. Traditional approaches for tackling this problem are usually model-based methods. WiFi-based tracking approaches suffer from high cost in retrieving the CSI information. Most RF signal-based methods provide a mathematical framework correlating movement in space to a link’s RSS value. Real RSS values are used to

Two conflict graph based concurrent transmission scheduling algorithms are proposed in this paper to efficiently solve the spatial TDMA (STDMA) scheduling problem for the next generation WLAN. Firstly, the STDMA scheduling problem for multiple timeslots is formulated as an multiple-step optimization problem. Secondly, a bi-weighted conflict graph is constructed to model the concurrent transmissions’

In a cellular network (CN), cellular users (CUs) located nearby machine type communications (MTC) devices (MTC-Ds) may act as uplink gateways to relay data to the base station (BS). We consider non-orthogonal multiple access (NOMA) and successive interference cancellation (SIC) at the receiver to increase the number of connected devices and the spectrum efficiency. Both underlay and overlay spectrum

The development of the next-generation wireless networks are regarded as the essentials to embrace of Internet of Things (IoT) and edge computing in heterogeneous networks (HetNets). Due to the the spectrum scarcity problem and the large number of connectivity demand of IoT users, intelligent interference management for IoT is worthy of thorough investigation and should be well discussed with consideration

As per recent developments in medical science, the skin cancer is considered as one of the common type disease in human body. Although the presence of melanoma is viewed as a form of cancer, it is challenging to predict it. If melanoma or other skin diseases are identified in the early stages, prognosis can then be successfully achieved to cure them. For this, medical imaging science plays an essential

Mobile crowdsensing has become a new way to perceive and collect information due to the widespread of smart devices. In this paper, we study the task assignment problem in mobile crowdsensing systems, which is aimed to reducing the average and largest makespan of all tasks. We consider scenarios where task requester needs the help of mobile users for task completion when they encounter directly or

Recently, more and more mobile apps are employed in the marketing field with technical advances. Mobile marketing apps have become a prevalent way for enterprise marketing. Therefore, it has been an important and urgent problem to provide personalized and accurate recommendation in mobile marketing, with a large number of items and limited capability of mobile devices. Recommendation have been investigated

Digital twin technology consists of creating virtual replicas of objects or processes that simulate the behavior of their real counterparts. The objective is to analyze its effectiveness or behavior in certain cases to improve its effectiveness. Applied to products, machines and even complete business ecosystems, the digital twin model can reveal information from the past, optimize the present and

Caching frequently requested contents at fog nodes has been proposed to alleviate the unprecedent pressure of limited backhaul capacity and decrease latency. However, due to the broadcast characteristic of wireless communication and limited resource, how to ensure information security is of vital importance. Compared with traditional encryption method, physical layer security has advantages on low

Since localization now has been an essential step in underwater work. The traditional localization algorithm, like time different of arrival (TDoA) has been proposed for its efficiency in terrestrial while it cannot perform perfect because of the unstable propagation in the harsh underwater environment. And autonomous underwater vehicle (AUV) has been used in many circumstances to meet the needs of

This paper presents a collaborative technique to detect and mitigate Distributed Denial-of-Service (DDoS) flooding attacks on Software-Defined Network (SDN). This technique integrates sflow-RT application and Snort rules for the detection of DDoS traffic flows in an SDN controller. Redis Simple Message Queue (RSMQ) acts as a mechanism to share DDoS detection and mitigation rules among multiple Ryus

Handling the information is crucial task in healthcare sector; the data mining techniques will be right choice to address the complex problems. The hybridized optimization techniques in big data analytics consider the important part of the healthcare network communication issues in decision making approach of patient information. This article focused on heart disease data mining and relevant issues

An effective measure of Key Performance Indicators (KPIs) is of great significance to enhance the capabilities of a decision support system (DSS) of any enterprise. Only a properly planned systematic analysis can provide the DSS with enough information in order to reap the associated benefits. This study aims to provide such an information-set on continuous basis for a tile manufacturing industry of

Increasing demands to access the internet through mobile infrastructures have in turn increased demands for improved quality and speed in communication services. One possible solution to meet these demands is to use cellular traffic forecasting to improve network performance. In this paper, a model for predicting traffic at a selected cellular base station (BS) is proposed. In the model, spatiotemporal

In this paper, the authors present a new algorithm efficient solution to the packing problem in two dimensions. The authors propose a new heuristic using the value of the electromagnetic field to determine the best position to place a circular object in a configuration of other circular objects previously packed. Also, this algorithm simulates two processes to compact objects already placed, inspired

The consideration of environmental objectives in the design of green supply chains creates the need to build a set of key performance indicators for monitoring and control. There is a set of generally accepted environmental indicators for monitoring environmental objectives in the supply chain. However, so far these indicators have been disconnected from the operational and economic indicators of the

Cloud-Radio Access Network (C-RAN) is a promising network architecture to reduce energy consumption and the increasing number of base station deployment costs in mobile networks. However, the necessity of enormous fronthaul bandwidth between a remote radio head and a baseband unit (BBU) calls for novel solutions. One of the solutions introduces the edge-cloud layer in addition to the centralized cloud

In optimized packing problems a set of objects have to be allocated completely inside a number of containers (containment condition) without overlapping, while optimizing a certain objective. In some applications, a distance between the objects (and/or the objects and the container) has to be at least a certain given threshold. Analytical representations for non-overlapping, containment and distant

Health Electronic Records (HER) share the data to improve the quality and decrease the cost of Healthcare. It is challenging because of techniques complexities and privacy compatibilities issues. The existing system is more popular to use the cloud-based healthcare system. However, the healthcare system is affected by content privacy and secure data transformation during data gathering and analyzing

This paper discusses the relationship between the spatial structure of the built environment and people’s memory of the city as derived from their perceptual knowledge. We explore how spatial comprehension is influenced by the spatial layout pattern in urban settings and individuals’ daily activities. In doing so, we seek to determine whether better spatial knowledge is a function of the legibility

Faced with the explosive growth of mobile applications, how to recommend mobile applications accurately and efficiently for users to choose their desirable and interesting mobile applications, which has become a challenging issue nowadays. To solve this problem, we propose a topic attention mechanism and FMs based mobile application recommendation method. Firstly, it uses LSA to obtain the global topic

Due to the increase in video streaming traffic over the Internet, more innovative methods are in demand for improving both Quality of Experience (QoE) of users and Quality of Service (QoS) of providers. In recent years, HTTP Adaptive Streaming (HAS) has received significant attention from both industry and academia based on its impacts on the enhancement of media streaming services. However, HAS-alone

Participatory sensing has become an effective way of sensing urban dynamics due to the widespread availability of smartphones among citizens. Traditionally, separate urban sensing applications are designed to monitor different urban dynamics like environment, transportation, mobility, etc. However, combining these applications to aggregate information can lead to various new inferences. The main objective

We introduce a new approach for Search-and-Rescue Operations (SAROs) to search for survivors after large-scale disasters, assuming the wireless communication network cells are partially operational and exploiting the recent trend of using Unmanned Aerial Vehicles (UAVs) as a part of the network. These SAROs are based on the idea that almost all survivors have their own wireless mobile devices, called

Software-Defined Networking (SDN) has been largely used in wired networks to separate the control plane and the data plane and enable users to programmatically change the networking capabilities. This investigation focused on understanding how SDN concepts could be applied in a networked embedded systems environment where the nodes have limited capabilities and the wireless links have limited bandwidth

Owing to the acceleration of urbanization and the rapid development of mobile Internet, mobile crowd sensing (MCS) has been recognized as a promising method to acquire massive volume of data. However, due to the massive perception data in participatory MCS system, the data privacy of mobile users and the response speed of data processing in cloud platform are hard to guarantee. Stimulating the enthusiasm

This paper proposes a new approach of digital predistortion (DPD) technique based on the adaptive indirect learning architecture (ILA) by using a recursive prediction error minimization (RPEM) algorithm for linearizing radio frequency (RF) power amplifiers (PAs) in emerging wideband communication systems. In the proposed RPEM-based linearization approach, the forgetting factor varies with time and

In this paper, we were discussing designed processes in prototyping In-Visible Island: Inclusive Storytelling Platform for Visually Impaired Children to contribute ways in accelerating their social learning curve, which coincidentally, it will also have a role in educating sighted children to have more empathy towards of their peers physical limitation by improving interactions, understanding and communication

The part of this special issue with the title of “Context-aware Computing and Nature-inspired Computing: ICCASA and ICTCC 2019” edited by Prof. Phan Cong Vinh is presented to scientists, researchers, experts and students in the fields of context-aware computing and nature-inspired computing. Hopefully, they will find this part stimulating their research related to the hot topics of contextual cognitive

Internet has completely evolved in recent years, and smart devices, such as mobile and IoT devices have become pervasive in the daily life of people. Internet is becoming more social, and Online Social Networking platforms (OSNs) have become part of the real life of people. Current Online Social Media platforms are centralized. Centralization presents several drawbacks, and during the last years several