A5101801988- Advanced Wireless Communication Techniques
- Advanced MIMO Systems Optimization
- Telecommunications and Broadcasting Technologies
- Wireless Communication Networks Research
- Materials Engineering and Processing
- Advanced Wireless Network Optimization
- Blind Source Separation Techniques
- Cognitive Radio Networks and Spectrum Sensing
- PAPR reduction in OFDM
- Satellite Communication Systems
- Distributed Sensor Networks and Detection Algorithms
- Error Correcting Code Techniques
- Advanced Wireless Communication Technologies
- Sparse and Compressive Sensing Techniques
- Multimedia Communication and Technology
- Recycling and utilization of industrial and municipal waste in materials production
- Metal Extraction and Bioleaching
- Advanced Adaptive Filtering Techniques
- Atmospheric chemistry and aerosols
- Cooperative Communication and Network Coding
- Concrete and Cement Materials Research
- Power Line Communications and Noise
- Microencapsulation and Drying Processes
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Odor and Emission Control Technologies
Shanghai University
2024
Shenyang Jianzhu University
2023-2024
Panzhihua University
2022-2023
Zhengzhou University of Light Industry
2023
China Electronics Technology Group Corporation
2021-2022
Shanghai Advanced Research Institute
2013-2020
Chinese Academy of Sciences
1998-2020
University of Electronic Science and Technology of China
2020
University of Chinese Academy of Sciences
2019
Shanghai Research Center for Wireless Communications
2010-2015
In this study, the properties of controlled low strength material (CLSM) made from waste soil were examined, utilizing 53 different mix proportions, and a dataset was subsequently constructed. Models, such as particle swarm optimization (PSO)-support vector regression (SVR), genetic algorithm (GA)-SVR, grid search (GS)-SVR, developed to predict both flowability unconfined compressive (UCS). To assess models' performance, comparisons between experimental predicted values, residual...
This paper addresses the spectrum sensing problem in an orthogonal frequency-division multiplexing (OFDM) system based on machine learning. To adapt to signal-to-noise ratio (SNR) variations, we first formulate into a novel SNR-related multi-class classification problem. Then, train naive Bayes classifier (NBC), and propose class-reduction assisted prediction method reduce time. We derive performance bounds by translating error rate rate. Compared with conventional methods, proposed is shown...
Spectrum sensing, which helps to resolve the coexistence issue and optimize spectrum efficiency, plays an important role in future wireless communication systems. However, upcoming 5G involves diversified scenarios with different characteristics diverse requirements. This tendency makes it difficult for sensing methods flexibly serve various applications while maintaining satisfactory performance. Motivated by such a challenge, this article combines reinforcement learning concept technique,...
In order to increase the development and utilization of chickpea protein isolate (CPI) improve stability myofibrillar (MP) emulsions, effect dielectric barrier discharge (DBD) plasma-modified CPI on emulsifying properties MP was investigated. Three different O/W emulsions were prepared using MP, + complex, or DBD-treated complex as emulsifier. Compared with emulsion from activity index (MP CPIDBD) increased (p < 0.05) 55.17 m2/g 74.99 66.31% 99.87%, respectively. CPIDBD produced more stable...
Orthogonal frequency division multiplexing (OFDM) technique has been widely used in high data rate wireless applications, but it suffers performance degradation at low signal-to-noise (SNR) regions due to the impairments caused by noise-induced channel estimation errors. In this article, we propose use frequency-shift (FRESH) filtering exploit temporal and spectral correlation of OFDM signals for noise reduction purpose. A closed form time-varying minimum mean squared error (MMSE) expression...
In spectrum sensing, classical signal processing based sensing methods create a test statistic on empirically statistical modeling. Recently, machine learning (ML) use neural network (NN) to learn in data-driven manner, but they can not well adapt new environment featured by signal-to-noise ratio (SNR) set with SNR value(s). To address this issue, we propose adversarial method improve the model adaptability. The key of our is design three coupled NNs, which extract universal less...
In this paper, blind channel order and signal to noise ratio (SNR) estimators based on time-varying autocorrelation function (TVAF) are proposed for orthogonal frequency division multiplexing systems. The TVAF of the received reveals clearly inherent periodicity introduced by cyclic prefix (CP) carries rich information additive noise. To investigate relationships among TVAF, order, SNR, a newly close-form expression is derived. Not only CP-induced components but channel-spread elements...
This paper presents a study of examining the correlation between satellite observations and ground-based measurements air quality in Ontario, Canada. Two atmospheric parameters-total ozone burden (TOB), aerosol optical depth (AOD) data-were extracted from Moderate Resolution Imaging Spectroradiometer (MODIS) atmosphere data products. TOB AOD were then compared with coincident concentration (GOC) fine particular matter (PM2.5) summer winter seasons, respectively. The comparison results showed...
A thick natural lead target has been bombarded with a 600 MeV ${}^{18}\mathrm{O}$ beam. With the use of an online gas-thermochromatographic device mercury isotopes produced as residues were rapidly separated and collected. special coincident measurement technique increased sensitivity to detecting ${\ensuremath{\beta}}^{\ensuremath{-}}$-delayed $\ensuremath{\gamma}$ rays, resulting in observation six neutron-rich ${}^{203,205--209}\mathrm{Hg}$. Here ${}^{209}\mathrm{Hg}$ was created through...
The growth of the wireless and mobile communication data traffic has brought severe challenges to present telecommunication systems. To meet ever-increasing demand in next 5th generation (5G) systems, deploying 5G unlicensed spectrum (5G-U), been regarded as a promising technology. Third Generation Partnership Project (3GPP) specified standardization Licensed Assisted Access (LAA) its extension enhanced LAA (eLAA), opportunistically transmit spectrum. LAA/eLAA systems share resource with...
The next generation broadcast wireless (NGB-W) system is aimed to provide high-speed, ubiquitous, and secure tri-play services massive users. In this paper, a new terrestrial solution for the NGB-W proposed. key techniques of proposed are introduced. performance evaluated by simulations. It shown that better than second systems Digital Video Broadcasting (DVB).
This paper studies the resource allocation issue of multiple broadcast signals over carrier frequencies in next generation broadcasting wireless (NGB-W) system, each which has specific transmission requirements on time resources and number frequencies. Based modified banker's algorithm, we propose a approach all NGB-W under limitation minimum frame length. Safety judgment is introduced to gain an effective result. If safe condition not satisfied, adjustment strategy need be employed get more...
ABSTRACT Orthogonal frequency division multiplexing signals with cyclic delay diversity (CDD) exhibit distinguishable cyclostationarity that can be used to design cyclostationary signatures for cognitive radio networks. However, such are seriously weakened over doubly‐selective fading channels, which consequently causes remarkable performance degradation of cyclostationarity‐based detectors. In this paper, we propose a new detector CDD orthogonal (CDD‐OFDM) channels. By modelling the channel...
In order to realize flexible time slicing in the Next Generation Broadcasting-Wireless (NGB-W) system, new scheme and associated mapping are proposed. The performance of proposed is evaluated by extensive simulations. Simulation results show that broadcasting systems with much better than without mobile environment, especially low Doppler scenario.
Cyclostationarity based sensing methods are appealing for OFDM signals under low SNR areas. However, such sensitive to doubly-selective fading channels. In this paper we develop a new method by exploiting the cyclostationarity incurred spread of autocorrelation due Doppler effect in First, model channel with basis expansion (BEM). Then analyze relationship between cyclostationary statistics transmitted and received signals, hence derive signal. Based on signatures signal effect, more...