A metal–organic framework (MOF) [Cu(PDA)(DMF)] was synthesized under mild mixed solvothermal conditions. It is constructed by 1,10-phenanthroline-2,9-dicarboxylic acid (H2PDA) and Cu2+ ions. The complex exhibits high peroxidase-like activity can catalytically oxidize the colorless substrate 3,3′,5,5′-tetramethylbenzidine to a blue product in presence of H2O2. However, be potently inhibited dopamine. Based on this phenomenon, colorimetric detection dopamine demonstrated with good selectivity...

This work revisits coupled tensor decomposition (CTD)-based hyperspectral super-resolution (HSR). HSR aims at fusing a pair of and multispectral images to recover image (SRI). The vast majority the approaches take low-rank matrix recovery perspective. challenge is that theoretical guarantees for recovering SRI using models are either elusive or derived under stringent conditions. A couple recent CTD-based methods ensure recoverability relatively mild conditions, leveraging on algebraic...

Spectrum cartography aims at estimating power propagation patterns over a geographical region across multiple frequency bands (i.e., radio map)---from limited samples taken sparsely the region. Classic methods are mostly concerned with recovering aggregate (RF) information while ignoring constituents of map---but fine-grained emitter-level RF is great interest. In addition, many existing work explicitly or implicitly assume random spatial sampling schemes that may be difficult to implement,...

As an aerial base station, unmanned vehicle (UAV) has been considered as a promising technology to assist future wireless communications due its flexible, swift and low cost features, where resource allocation is the basis for ensuring energy-efficient UAV-assisted networks. This paper formulates joint optimization problem of user association, UAV trajectory design power control maximize channel capacity among all ground users at limited level in downlink transmission. To tackle...

The impact of an imperfect channel estimation on the amplify-and-forward (AF) mode cooperative communications systems is studied, with some important factors, including probability characteristic secondary user's end-to-end signal-to-noise ratio (SNR), outage probability, symbol error (SEP), and capacity, being analyzed. Different from conventional relay selection schemes, we assume that primary users share their bandwidth to enable a relay-aided communication if interference added kept...

Benefiting from the flexibility and low operational cost, dispatching unmanned aerial vehicles (UAVs) to collect measurements is promising in spectrum cartography (SC). The main goal optimize trajectory of an UAV seek most informative measurement under environment with dynamic emitters. In this letter, we formulate a Markov Decision Process find optimal flight that maximizes accuracy SC minimizes energy consumption. However, due unavailable instantaneous feedback about SC, existing methods...

In this letter, the optimal and suboptimal nonlinear processing for correlation-based signal detection is addressed in symmetric alpha-stable noise. By maximizing correlator output signal-to-noise ratio, a constrained functional optimization problem established. As hard to get analytical solution, we apply finite discretization it prove that resulting approximation convex quadratic programming problem. This provides performance bound design criteria detection. Based on noise parameter α...

Hyperspectral super-resolution (HSR) aims at fusing a hyperspectral image (HSI) and multispectral (MSI) to produce (SRI) that has high spatial spectral resolution. Many popular methods exploit the linear mixture model (LMM) of images tackle HSR problem from coupled matrix decomposition viewpoint. Recently, tensor factorization approach was proposed handle this challenging problem, which admits series advantages over matrix-based methods. In particular, modeling HSI MSI as low-rank tensors,...

Tensor-based spectrum cartography (SC) has received increasing interests for recovering multi-dimensional radio map (RM) from sparse measurements. However, existing tensor-based SC methods largely depends on an ideal assumption, that the measurements are regularly located grids. this assumption is unrealistic since RM continuous in essence, and can be measured at arbitrary positions deviating pre-divided This work addresses problem of parametric irregular off-grid samplings. The main idea...

This paper investigates the joint power control and transmit beamforming problem in multiuser cognitive radio systems (CR). Comparing to conventional downlink problems, management schemes CR is more complicated because designers must take interference primary users (PUs) into consideration. Assuming perfect channel information both PUs can be obtained at base stations, this paper, we solve formulated optimization two different ways. Since objective with SINR constraint each receiver...

Impulsive noise modeled as symmetric α-stable (SαS) distribution is commonly seen in many practical communication scenarios. In this letter, we focus on the joint timing and carrier phase synchronization of minimum shift keying signals SαS noise. We first derive Cramér-Rao lower bound (CRLB) offsets estimation. Then, an optimal training sequence designed to minimize CRLB. As corresponding maximum likelihood estimator hard implement noise, further propose a pragmatic parameters estimation...

In view of the new feature after introducing relay nodes (RNs) into conventional cellular networks, a novel soft frequency reuse (SFR)-based inter-cell interference coordination (ICIC) scheme is proposed in enhanced networks. On basis original ICIC for network, RNs SFR reuses part neighboring cell-edge bands to improve both cell average throughput and ell-edge UEs' throughput. Furthermore, sake taking user fairness consideration, weighted proportional (WPF) scheduling algorithm also...

Semantic communication has become a promising paradigm tailored for multi-user intelligent communications. Existing semantic methods schemes assume that the receiver sends channel state information (CSI) feedback to transmitter, which is not always realistic. In this work, we design feedback-free scheme called Multi-user Efficient Transmission DeepSC (MET_DeepSC) communication. The idea utilize dedicated flag vectors identification of different users. We embed these on both transmitter and...

In this paper, reduced-complexity approximations of soft-output minimum mean square error (MMSE) ordering successive interference cancellation (OSIC) multiple-input multiple-output (MIMO) detector are investigated. At first, by ignoring the off-diagonal elements residual covariance matrix and applying inverse lemma, complexity induced is reduced drastically. Secondly, when modulation constellation size large, only considering neighboring points estimated transmitted symbol. Finally, an...

In impulsive noise modeled as symmetric α-stable (SαS) distribution, it is known that signal processing techniques performed in bandpass can generally achieve better performance than baseband. this letter, we propose a myriad filtering-based pre-processing method for communication receiver SαS noise. The adopted filter designed based on the estimated parameters of observation data vector, which used to estimate transmitted signal, constructed by choosing specific from received so two...

Vortex identification and visualization are important means to understand the underlying physical mechanism of flow field. Local vortex methods need combine with manual selection appropriate threshold, which leads poor robustness. Global high computational complexity time-consuming. Machine learning related size shape field, weak in versatility scalability. It cannot be extended is suitable for fields different sizes. Recently, proposed deep have long network training time complexity. Aiming...

Cooperative spreading dynamics on complex networks is a hot topic in the field of network science. In this paper, we propose strategy to immunize some nodes based their degrees. The immunized disable synergistic effect cooperative dynamics. We also develop generalized percolation theory study final state By using Monte Carlo method, numerical simulations reveal that immunizing with large degree cannot always be beneficial for containing spreading. For small values transmission probability,...

Deep learning (DL) has exhibited notable effectiveness in channel estimation for orthogonal frequency division multiplexing (OFDM) systems. However, most existing neural networks have not explicitly accounted the intercarrier interference (ICI) and fail to achieve desirable performance under high-mobility air-ground communication environments. To address this problem, a modified Involution-based Channel Estimation Network (InvoEsNet) is proposed letter, which designed cope with ICI. The...

Joint spectrum cartography and disaggregation from sparse spatial observations has been proven to be theoretically feasible based on block-term tensor decomposition (BTD) model. However, the existing BTD framework suffers inherent drawbacks in terms of numerical stability, complexity noise robustness. To combat with these drawbacks, we propose a new Constrained-BTD (CBTD) this letter by fully utilizing practical traits geographical power density (PSD) loss field (SLF). The cornerstone CBTD...

In wireless communication systems, interference classification (WIC) is considered as one of the most effective technologies to address challenges brought by electromagnetic in military and civilian scenarios. Recently, deep learning (DL) based methods have dominated progress field WIC. However, existing do not consider redundancy input samples, nor ability adaptively allocate computational resources conditioned on inputs. To this end, we propose time-frequency component-aware convolutional...