EURASIP Journal on Wireless Communications and Networking

http://link.springer.com/journal/13638

List of Papers (Total 3,038)

Text feature extraction based on deep learning: a review

Selection of text feature item is a basic and important matter for text mining and information retrieval. Traditional methods of feature extraction require handcrafted features. To hand-design, an effective feature is a lengthy process, but aiming at new applications, deep learning enables to acquire new effective feature representation from training data. As a new feature...

Maximizing throughput gain via resource allocation in D2D communications

By reusing the cellular resources, device-to-device (D2D) communication is becoming a very promising technology that greatly enhances the spectrum utilization. To harvest the benefits that D2D communications can offer, efficient resource allocation strategy is required to guarantee the demands of quality of service (QoS) for both cellular and D2D users. This paper proposes a...

Network dimensioning and base station on/off switching strategies for sustainable deployments in remote areas

This paper provides a methodology for the dimensioning of the access network in remote rural areas, considering the progressive introduction of cellular services in these regions. A 3G small cell (SC) network with one or several carriers deployed at the SC, fed with solar panels and connected to a backhaul with limited capacity is considered for the analysis. Because the backhaul...

Analysis and performance evaluation of resource management mechanisms in heterogeneous traffic cognitive radio networks

In this paper, the Erlang capacity achieved by the separate or joint use of several resource management mechanisms commonly considered in the literature (spectrum aggregation, spectrum adaptation, call buffering, channel reservation, selective interruption, and preemptive prioritization) to mitigate the effects of secondary call interruptions in cognitive radio networks (CRNs) is...

Resource allocation in two-way OFDM-based cognitive radio networks with QoE and power consumption guarantees

In this paper, a resource allocation algorithm in two-way orthogonal frequency division multiplexing (OFDM) based cognitive radio networks with quality of experience (QoE) and power consumption guarantees is proposed. We define the overall QoE perceived by secondary users (SUs) per power consumption as QoEW. The power consumption model consists of fixed circuit power, dynamic...

A coverage-aware energy replenishment scheme for wireless rechargeable sensor networks

Wireless rechargeable sensor networks are becoming crucial and important in recent years for the advancement of wireless energy transmission technology. The previous research showed that not all of sensors can be recharged due to the limitation of energy capacity that mobile chargers can carry. If a sensor playing a critical role in a sensing task cannot function as usual due to...

Data classification algorithm for data-intensive computing environments

Data-intensive computing has received substantial attention since the arrival of the big data era. Research on data mining in data-intensive computing environments is still in the initial stage. In this paper, a decision tree classification algorithm called MR-DIDC is proposed that is based on the programming framework of MapReduce and the SPRINT algorithm. MR-DIDC inherits the...

A system testbed for modeling encrypted video-streaming service performance indicators based on TCP/IP metrics

For cellular operators, estimating the end-user experience from network measurements is a challenging task. For video-streaming service, several analytical models have been proposed to estimate user opinion from buffering metrics. However, there remains the problem of estimating these buffering metrics from the limited set of measurements available on a per-connection basis for...

Reliability analysis of subway vehicles based on the data of operational failures

A large quantity of failure data for subway vehicles was collected from long-term field investigations and technical exchanged. These failure data has a guiding significance for preserving subway system. By preprocessing (screening, refining, and classification) the original data and statistical analysis, we establish some selected model, then we use A-D test to verify the degree...

Dynamic position changeable Stackelberg game for user-provided network control algorithms

Nowadays, wireless mobile services have been going through a paradigm shift due to three reasons: (i) the increasing needs for ubiquitous connectivity, (ii) an unprecedented volume of mobile data traffic, and (iii) technologically advanced mobile devices with enhanced capabilities. To address these challenges, user-provided network (UPN) is an emerging technology and can be...

Sparse representation-based DOA estimation of coherent wideband LFM signals in FRFT domain

In this paper, the method of direction-of-arrival (DOA) estimation for wideband signals based on sparse representation of FRFT domain is proposed by using the excellent convergence of FRFT to LFM signals. This method focuses the wideband signal to the reference frequency using FRFT, establishes the DOA estimation model and the array manifold matrix in the FRFT domain, and...

Improving cellular downlink throughput by multi-hop relay-assisted outband D2D communications

One goal of the fifth-generation (5G) cellular network is to support much higher data capacity (e.g., 1000 times higher than today), where device-to-device (D2D) communication is one of the key enabling technologies. In this paper, we focus on the D2D relaying functionality to improve cellular downlink throughput. Based on the shortages of the latest relevant work, we propose a...

Successful transmission probability of cognitive device-to-device communications underlaying cellular networks in the presence of hardware impairments

This paper studies the cognitive wireless powered device-to-device (D2D) communication underlaying a cellular network, where there are two types of communications, including peer-to-peer (P2P) communication and a multi-hop D2D communication, which are assumed to be affected by hardware impairments (HWIs). We investigate the one-hop P2P communication and the multi-hop D2D...

ICN routing selecting scheme based on link quality for the urban vehicles’ communication

It is difficult for TCP/IP to manage the mobile nodes in the dynamic environment of VANET (Vehicular Ad hoc Network), so combining urban VANET with a new network architecture—ICN (information-centric network)—this paper proposes a FIB (forwarding information base) selecting scheme based on link quality, and we name it as RSBLQ (Routing Selecting Based on Link Quality). The...

Joint distributed beamforming and jamming schemes in decode-and-forward relay networks for physical layer secrecy

In this paper, we propose joint cooperative beamforming and jamming schemes in decode-and-forward (DF) relay networks for physical layer secrecy. In DF relay networks, only the relays decoding the message from the source correctly have to join in the forwarding phase and the relays with decoding error are not utilized sufficiently. Taking this property into consideration, we let...

Non-uniform illumination endoscopic imaging enhancement via anti-degraded model and L 1 L 2-based variational retinex

In this paper, we propose a novel image enhancement algorithm via anti-degraded model and L 1 L 2-based variational retinex (AD-L 1 L 2VR) for non-uniform illumination endoscopic images. Firstly, a haze-free endoscopic image is obtained by an anti-degraded model named dark channel prior (DCP). For getting a more accurate transmission map, it is refined by using a guided image...

Dynamic power allocation for a multiuser transmitter with hybrid energy sources

In this paper, we investigate the problem of dynamic power allocation for a multiuser transmitter supplied by hybrid energy sources in details. Specifically, we focus on the hybrid energy sources which include both the traditional power grid and various renewable sources whereby there are a few issues in considerations: (1) The energy harvested jointly from various renewable...

User association strategies in HetNets leading to rate balancing under energy constraints

This paper deals with the development of several strategies for associating users to base stations (BSs) in heterogeneous networks. These strategies are able to balance the rate among users and BSs and increase the overall network utility. Constraints related to the energy availability at BSs are considered explicitly in the design, assuming that the BSs are equipped with...

Distributed resource allocation with imperfect spectrum sensing information and channel uncertainty in cognitive femtocell networks

To meet the ever-increasing demands of mobile traffic, femtocells are considered as one of the promising solutions. In this paper, we study a sensing-based resource allocation scenario in cognitive femtocell networks and present an efficient distributed imperfect-spectrum-sensing-based resource allocation (DIRA) algorithm while considering the channel uncertainty to maximize the...

Threshold selection method for UWB TOA estimation based on wavelet decomposition and kurtosis analysis

In wireless sensor networks, ranging or positioning via ultra-wideband (UWB) has caused widespread research interests where the non-coherent energy detection (ED) method with low sampling rate and low complexity is widely studied. However, the traditional energy detection methods only analyze the signal energy in the time domain, so their error is relatively large. In this paper...

Correction to: Artificial noise-assisted physical layer security in D2D-enabled cellular networks

In the original publication [1] the name of author Yajun Chen was spelled wrong. The original article was updated to rectify this error.

Scheduling multi-task jobs with extra utility in data centers

This paper investigates the problem of maximizing utility for job scheduling where each job consists of multiple tasks, each task has utility and each job also has extra utility if all tasks of that job are completed. We provide a 2-approximation algorithm for the single-machine case and a 2-approximation algorithm for the multi-machine problem. Both algorithms include two steps...

Offloading data traffic via cognitive small cells with wireless powered user equipments

This paper investigates data traffic offloading by considering a third-party cognitive small cell with wireless powered user equipments (UEs) providing data traffic offloading service to a primary macrocell. The cognitive small cell is assumed to use remaining resources for its own purpose provided that the quality of service (QoS) of the primary macrocell is satisfied. It is...

A strategy for joint service offloading and scheduling in heterogeneous cloud radio access networks

Cloud radio access network is one of the most promising cellular networks for the next generation of mobile networks. The basic idea of cloud RAN (radio access network) is virtualizing and centralizing the intelligent part of the base station, the base band unit, and keeping remote radio heads on cell site enabling a centralized processing and management. Offloading data...

Robust L1 tracker with CNN features

Recently, L1 tracker has been widely applied and received great success in visual tracking. However, most L1 trackers use only the image intensity for sparse representation, which is insufficient to represent the object especially when drastic appearance changes occur. Convolutional neural network (CNN) has demonstrated remarkable capability in a wide range of computer vision...