A5086613864- Advanced Wireless Communication Techniques
- Error Correcting Code Techniques
- Advanced Data Compression Techniques
- Microgrid Control and Optimization
- Optimal Power Flow Distribution
- DNA and Biological Computing
- Optical Network Technologies
- Smart Grid Security and Resilience
- Bone Tissue Engineering Materials
- Age of Information Optimization
- Machine Learning and Algorithms
- Magnesium Oxide Properties and Applications
- Sparse and Compressive Sensing Techniques
- Educational Reforms and Innovations
- Smart Grid Energy Management
- Cellular Automata and Applications
- Image and Video Stabilization
- Wireless Signal Modulation Classification
- PAPR reduction in OFDM
- Advanced Image Processing Techniques
- Advanced Photonic Communication Systems
- Video Coding and Compression Technologies
- Advanced Fiber Optic Sensors
- Concrete and Cement Materials Research
- Digital Media Forensic Detection
State Grid Hebei Electric Power Company
2019-2023
Beijing University of Posts and Telecommunications
2016-2019
Beihua University
2018
Yancheng Institute of Technology
2014
In this letter, we investigate the effective construction method of polar codes in Rayleigh fading channel (RFC) based on Gaussian approximation (GA) algorithm. For RFC, two algorithms are proposed to find equivalent binary input AWGN (BIAWGNC). The first one transforms given RFC an BIAWGNC with same average mutual information, and then GA algorithm is performed construct codes. second one, handled as analytical expression terms Kullback-Leibler divergence so further reduce complexity...
As one novel approach to realize end-to-end wireless image semantic transmission, deep learning-based joint source-channel coding (deep JSCC) method is emerging in both learning and communication communities. However, current JSCC transmission systems are typically optimized for traditional distortion metrics such as peak signal-to-noise ratio (PSNR) or multi-scale structural similarity (MS-SSIM). But low rates, due the imperfect channel, these lose significance they favor pixel-wise...
To study the changes in hydration products over time during solidification/stabilization process of magnesium potassium phosphate cementing material (MKPC) and to reveal solidification mechanism heavy metal elements MKPC, methods, such as scanning electron microscope-energy spectrum (SEM-EDS), X ray diffraction (XRD), Fourier Transform Infrared Spectroscopy (FTIR) etc., were used analyze composition microstructure MKPC solidified body with different production time, which are further...
In this paper, we investigate the polarization effect of amplitude phase shift keying (APSK) constellations. We find that APSK constellations is affected by bit mapping and loading. Traditionally, Gray usually adopted in Based on given mapping, firstly propose interleaved coded modulation polar-APSK (BICM-PA) scheme, which neglects correlations between levels using interleaver. BICM-PA a new metric called cumulative Bhattacharyya parameter introduced to optimize loading under mapping....
In the conventional bit interleaved polar coded modulation (BIPCM), there exist some mutual information losses due to neglecting correlations between levels by using interleaver. Based on this, delayed BIPCM (DBIPCM) architecture is proposed reduce in this paper. DBIPCM scheme, only one encoder adopted and transmitted symbols convey bits from codewords encoded at different time for each level determined preset delays, which BIPCM. As we know, variance of channel capacities used measure...
In this paper, an architecture of constellation shaping for bit-interleaved polar coded modulation (BIPCM) is proposed. Theoretically, the probability distribution points should be selected according to a continuous Gaussian over Additive White Noise (AWGN) channels, which will help obtain gain. Based on probabilistic idea, unequiprobable constellations are designed increase mutual information. Under proposed BIPCM architecture, mapping method has larger diversity bit channels that can...
Sparse Principal Component Analysis (Sparse PCA) is a pivotal tool in data analysis and dimensionality reduction. However, PCA challenging problem both theory practice: it known to be NP-hard current exact methods generally require exponential runtime. In this paper, we propose novel framework efficiently approximate by (i) approximating the general input covariance matrix with re-sorted block-diagonal matrix, (ii) solving sub-problem each block, (iii) reconstructing solution original...
Grid connection of distributed generator (DG) is highly increasing in power distribution system. Network energy loss (NEL) reducing for multiple DGs very significant. To minimize the NEL, we propose a methodology based on particle swarm optimization (PSO) initialized with K-means cluster to dynamically allocate penetration DGs. The random initialization particles PSO can lead premature convergence local solution. In order avoid this problem, employ clustering method initialize designed...
The recent deep learning-based joint source-channel coding (deep JSCC) framework has shown superior performance on end-to-end wireless image transmission without suffering from the "cliff effect". However, a fundamental limit of current JSCC schemes is that unbalanced regional importance source not been explicitly taken into account. It evenly distributes rate to every patch leading an evident degradation overall efficiency. To break this limit, we propose novel scheme in paper. Our...
Recently, the polarization weight (PW), independent of transmission channel, is proposed to construct polar codes based on partial orders (POs) polarized bit channels (PBCs). In this paper, we propose a general PW (GPW) solve universal construction multilevel coding polar-coded modulation (MLC-PCM). same way, first study POs in MLC-PCM. For MLC-PCM, 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</sup> -ary can be decomposed into m...
Distribution power system connecting with multiple photovoltaic distributed generation (PV-DG) will bring a huge effect to the economical benefit and stable operation of distribution system. The scene PV-DGs is designed in this paper, considering short-time operation, cost index, voltage error index optimal objective, output PV-DG multiple-objective optimizing; In order improve optimizing performance objective particle swarm optimization, PSO based on fuzzy-C means cluster algorithm...
This paper considers both the physical layer (PLS) and reliability in time sensitive MEC network for smart grids. Specially, sensors are deployed to monitor electrical devices offload collected confidential task (communication phase) server calculating decision-making (computation phase). In meantime, an eavesdropper attempts intercept offloaded during communication phase. The whole process is designed fulfill demand of low-latency, ultra-reliability high-security. Therefore, joint...
The current society has entered the era of "Internet +", and + Education" become a development strategy for education front.In this paper, research status both in foreign countries China were introduced, including categories characteristics Education".Meanwhile, origin, practical exploration its integration with "double creation" talents training also studied.
In the optical transport network, high-dimension equiprobable constellation is used to increase information transmission rate and forward error correction code improve system performance. However, adopting will lead some loss according Shannon theory performance of FEC needs be strengthened. Based on this, unequiprobable designed reduce by optimizing probability first bit taking value zero or one. order further performance, polar code, an advanced channel with good low decoding computation...
In this paper, we study the polynomial approximability or solvability of sparse integer least square problem (SILS), which is NP-hard variant problem, where only consider {0, +1, -1}-vectors. We propose an l1-based SDP relaxation to SILS, and introduce a randomized algorithm for SILS based on relaxation. fact, proposed works broader class binary quadratic program with cardinality constraint, objective function can be possibly non-convex. Moreover, when sparsity parameter fixed, provide...
As one novel approach to realize end-to-end wireless image semantic transmission, deep learning-based joint source-channel coding (deep JSCC) method is emerging in both learning and communication communities. However, current JSCC transmission systems are typically optimized for traditional distortion metrics such as peak signal-to-noise ratio (PSNR) or multi-scale structural similarity (MS-SSIM). But low rates, due the imperfect channel, these lose significance they favor pixel-wise...