To further enhance the energy efficiency (EE) performance of fifth generation (5G) Internet Things systems, an integrated structure is proposed in this paper. That is, other than prior studies that separately study wireless and wired parts, parts are holistically combined together to comprehensively optimize EE whole system. The system introduced beforehand with unified control center components for better deployment select-and-sleep mechanism. In addition, part, one cellular partition...

The explosive growth of mobile date traffic and ubiquitous services cause an high energy consumption in devices with limited supplies, which has become a bottleneck for deploying device-to-device (D2D) communication. Simultaneous wireless information power transfer (SWIPT), enables to harvest from the radio frequency signals, emerged as promising solution improve efficiency (EE) performance. In this paper, we address joint control spectrum resource allocation problem SWIPT-based...

Focused on the issues of blurring effect and spectral distortion in current pansharpening approaches, we propose a multiscale method based frequency feature guidance. Firstly, extract features using learnable Discrete Wavelet Transform Layers (DWTL), select key for fusion, then use Inverse (IDWTL) to transform fused back spatial domain guide image reconstruction. Secondly, employ multi-scale progressive strategy reconstruct image, effectively leveraging source images at different scales....

The deep convolutional neural network has strong representative ability, which can learn latent information repeatedly from signal samples and improve the accuracy of automatic modulation classification (AMC). In this paper, a novel compressive (CCNN) is proposed for AMC, where different constellation images, i.e., regular images (RCs) contrast enhanced grid (CGCs), are generated as inputs received signals. Moreover, loss constraint to train CCNN, aims at capturing high-dimensional features...

In this paper, we investigate a multiuser distributed antenna system with simultaneous wireless information and power transmission under the assumption of imperfect channel state (CSI). system, port multiple antennas supports set mobile stations who can decode harvest energy simultaneously via splitter. To design robust transmit beamforming vectors splitting (PS) factors in presence CSI errors, maximize average worst-case signal-to-interference-plus- noise ratio (SINR) while achieving...

Mobile edge computing (MEC) is an emerging technology that leverages computing, storage, and network resources deployed at the proximity of users to offload their delay-sensitive tasks. Various existing facilities including mobile devices with idle resources, vehicles, MEC servers base stations or road side units, could act as edges in network. Since task offloading incurs extra transmission energy consumption latency, two key questions be addressed such environment are (i) should workload...

In this paper, the effective rate of multiple-input single-output (MISO) systems over independent and identically (i. i. d.) distributed κ-μ shadowed fading channels is studied under delay constraints. We derive an analytical expression for MISO channels. The approximate analysis method further invoked to solve infinite series problem. Based on moment matching method, a closed-form obtained. addition, capture insights into effects model parameters systems, asymptotic rates in high-...

Near-global Digital Elevation Model (DEM) products generated through space-based radar techniques have become a basic data source for variety range of applications. However, these DEM often contain typical errors such as vegetation bias and topography-related errors, which impede their practical utility. Despite the development numerous correction methods based on mathematical fitting artificial neural networks over recent decades, reliably correcting large-scale spaceborne radar-derived...

Massive Multiple-Input Multiple-Output (Massive MIMO) has been realized as a promising technology element for 5G wireless mobile communications, in which Spectral Efficiency (SE) and Energy (EE) are two critical issues. Prior estimates have indicated that 57% energy consumption of cellular system comes from the operator, mostly used to feed base station (BS). Yet previously, User Equipment(UE) is focused on while studying EE issue instead BS. In this case, paper, an scheme focuses...

Small cell networks (SCNs) have emerged as promising technologies to meet the data traffic demands for future wireless communications. However, benefits of SCNs are limited their hard handovers between base stations (BSs). In addition, interference is another challenging issue. To solve this problem, study employs a cooperative transmission mechanism focusing on correlated Rician/Gamma fading channels with zero-forcing receivers. The analytical expressions achievable sum rate, symbol error...

Abstract Three novel cyclotriphosphazene derivatives were designed. Title compounds synthesized by the reaction of dichlorocyclotriphosphazene derivative [N3P3Cl2(O2C12H8)2] with potassium salt 4-hydroxybenzaldehyde, and subsequent reduction aldehyde groups to alcohol using sodium borohydride. The bromination was carried out PBr3 give N3P3(O2C12H8)2 (OC6H4-p-CH2Br)2. This compound employed in reactions macrocyclic polyamide, imidazole, or morpholine produce title compounds. target...

Network Function Virtualization (NFV) enables flexible deployment of network services as applications. operators expect to use a limited number (NF) instances handle the fluctuating traffic load and provide services. However, it is big challenge guarantee Quality Service (QoS) under unpredictable while minimizing processing resources. One typical solution realize NF scale-out, scale-in balancing by elastically migrating related flows with SoftwareDefined Networking (SDN). difficult optimally...

Abstract Background The mechanism of action silver diammine fluoride (SDF) on plaque micro-ecology is seldom studied. This study investigated micro-ecological changes in dental extensive caries deciduous teeth after topical SDF treatment. Methods Deciduous with freshly removed from school children were collected clinic. Unstimulated saliva collection and initial sampling done before tooth extraction, then each was topically treated 38% vitro. After intervention, stored respectively...

Other than separately investing the energy efficiency (EE) merits of information-centric networking’s (ICN’s) caching and sharing (CS) mechanism in wireless communications, here we comprehensively compare EE performances ICN’s CS different scenarios. A modified system model is first proposed while introducing into in-network router, base station (BS), neighboring user sides. Afterwards, achievable sum rate as well power consumptions wired sections investigated. The scenarios are finally...

Besides the prior study of energy efficiency (EE) that focuses on single component (antenna, radio frequency (RF) chain, circuit, etc.), or limited to one base station (BS) area, in this paper, EE is integrated, investigated with various components RF coverage area) considering in, based an optimized system model. That is, multi-BS model introduced beforehand cloud access network (C-RAN) for easier deployment selecting/sleeping mechanism. In addition, described by optimization problem while...

In this paper, we developed a hybrid locomotion robot for earthquake search and rescue in partially collapsed buildings. The objective of research is to find new method avoid rescuers from accessing buildings, instead access these buildings using robot, searching trapped victims transporting necessary goods (food, water, communication system so on) them. To achieve goal, design with several functions which include: (1) (flying moving on flat surfaces), (2) transportation mechanism, (3)...

Based on the Cloud-Radio Access Network (C-RAN) structure and massive Multi-Input Multi-Output (MIMO), we propose one comprehensive system model give Energy Efficiency (EE) analysis of this system. The C-RAN is amended for better antenna control in MIMO based model. Furthermore, EE optimization problem modeled from a way, its solution addressed with convex method plus an offline decision. In analysis, apart prior literature, Carrier Capacity (CC), antenna, Radio-Frequency (RF) chain, machine...

Energy efficiency is an extremely important performance indicator for device-to-device communications due to the limited battery capacity of user equipments (UEs). In this paper, we focus on two-stage EE optimization problem, which consists a channel and power allocation problem in first stage, context-aware D2D peer recovery second stage. We incorporate many-to-one matching framework solve nonconvex combinatorial with dynamically varying preferences. At each iteration first-stage match,...

In the field of time series classification, deep learning techniques have shown remarkable performance; however, their effectiveness is often compromised when confronted with challenges insufficient data and class imbalance. To address this challenge, we propose an interpretable augmentation algorithm integrating variational autoencoders (VAE) metric learning. The core contribution manifested in three aspects: First, it eliminates heteroscedasticity non-stationarity data, ensuring that...

In mobile edge computing (MEC), task offloading can significantly reduce execution latency and energy consumption of end user (EU). However, server (ES) resources are limited, necessitating efficient allocation to ensure the sustainable healthy development for MEC systems. this paper, we propose a dynamic pricing mechanism based near-optimal resource elastic offloading. First, construct model accordingly develop utility functions both EU ES, optimal parameters derived by optimizing...