Handover algorithm for space-air-ground integrated network based on location prediction model by XIE Jianli, CHEN Long, ZHANG Zepeng, LI Cuiran

“…Compared with network handover algorithms based on Q-Learning, double deep Q-network (DDQN), and dueling double deep Q-network (D3QN), the proposed algorithm performs better in terms of reducing handover delay and frequency, as well as enhancing network throughput, thereby validating the effectiveness of the proposed algorithm.…”
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Wideband distributed cooperative compressed spectrum sensing algorithm based on weighted consensus optimization by Yuzhi YAN, Youming LI, Guili ZHOU, Yaohui WU

“…Wideband distributed cooperative spectrum sensing based on compressed sensing can not only reduce high sampling rate,but also improve the spectrum sensing performance in low signal to noise ratio environment.In order to further enhance the spectrum sensing performance,a wideband distributed cooperative compressed spectrum sensing algorithm based on weighted consensus optimization was proposed.In this algorithm,the next iterative reconstruction weights were determined according to the current iterative reconstructed spectrum signal,which can encourage the sub-band occupied by primary user to generate signal value and decrease the likelihood of incorrect reconstruction.Simulation results show that the proposed algorithm can not only increases the spectral reconstruction accuracy,but also reduces time and communication costs of the sensing process,and improves the spectrum sensing performance.…”
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Publisher Correction: Image Registration Using the Arithmetic Optimization Algorithm for Robotic Visual Servoing by Mohamed Kmich, Inssaf Harrade, Hicham Karmouni, Mhamed Sayyouri, S. S. Askar, Mohamed Abouhawwash

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FilterFA: a multiple string matching algorithm based on specification of character set by Ping ZHANG, Hui-min HE, Chun-yan ZHANG, Cong CAO, Yan-bing LIU, Jian-long TAN

“…To solve the problem that huge storage overhead of AC would influence performance deeply, an improved algorithm ——FilterFA, based on specification of character set was proposed. …”
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Calculation and Analysis of Nonlinear Algorithm for Stability of Nanosilica Powder Soft Soil Pile Foundation by Jinbo Sun, Li Guo, Liang Gong, Fei Zheng, Hao Hao

“…In order to reasonably evaluate the stability of the embankment supported by the rigid pile composite foundation, a nonlinear algorithm calculation and analysis method for the stability of the nanosilica powder soft soil pile foundation is proposed. …”
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A business attribute correlation multi-path routing algorithm based on SDN architecture by Xiang YU, Mingmin YI, Lu YANG

“…Currently,most of the routing algorithms support only one QoS parameter,and do not consider the fairness of system scheduling service.Obviously,multi-parameters constrains problem is NP hard problem,it is impossible to solve this kind of problem by traditional routing algorithms.The routing thought from ant colony algorithm（ACO）was introduced.On the basis of the ACO,and combined with the business attributes of traffic flow,a new algorithm was put forward which introduced the delay and packet loss into the ACO,as a dependence of routing.In new algorithm,which according to the real-time status of network,the suitable routing was chosen for different types traffic and forward by multi-path base on the classification of traffic flows.The experiment shows that this algorithm can decrease the delay and packet loss effectively.…”
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Newton iteration and SOR iteration based WWSE precoding algorithm in massive MIMO systems by Wensheng SUN, Junjie XU

“…In massive MIMO system,Newton iteration algorithm was applied to the traditional minimum mean-square error (WWSE) precoding algorithm to calculate the inverse operation,but the initial value of iteration was complicated.Aiming at this problem,WWSESOR-NT algorithm was proposed.The intermediate algorithm based on the SOR iterative algorithm was proposed.Then combined with Newton iteration algorithm,the intermediate algorithm was used to directly estimate the inverse of higher-order matrix,and the result was taken as the initial value of Newton iteration algorithm to accelerate the convergence speed.The simulation results show that WWSESOR-NT algorithm can approximate the performance of WWSE algorithm with fewer iterations and approximately the same complexity.…”
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Multi-tenant computing network resource allocation algorithm based on deep reinforcement learning by HU Yuxiang, FENG Xu, DONG Yongji, HE Mengyang, ZHUANG Lei, SONG Yanrui

“…However, the existing resource scheduling algorithms have a single optimization objective and cannot meet the differentiated business needs of multi-tenants. …”
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Fault localization for automatic train operation based on the adaptive error locating array algorithm by Yanpeng Zhang, Yuxiang Cao

“…Compared to four mainstream adaptive algorithms of fault localization, the proposed algorithm is less affected by the masking effects caused by multiple faults and requires the fewest number of test cases. …”
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Blind adaptive matching pursuit algorithm for signal reconstruction based on sparsity trial and error by Wen-biao TIAN, Zheng FU, Guo-sheng RUI

“…Compressed sensing is a novel signal processing theory that it introduces a novel way of acquiring compressible signals,the test times of existing sparsity trial and error algorithms were always large.The novel algorithm,blind sparsity adaptive matching pursuit (BSAMP) was proposed,could recover the original signal fast in the case of unknown sparsity.Firstly,the range of sparsity was determined,and each time half of values in current range were eliminated by trial and error test.Secondly,the number of atoms was twice the sparsity,which was united with the set of signal approximation support (got by last iteration) and then reconstructed the signal by solving least-squares problems.Last but not least,the least-squares approximation was pruned by weakly matching for next iteration.The results of simulation show that the novel algorithm can reconstruct signal faster and get larger recovery probability than other similar algorithms in the same conditions.…”
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Research on control strategy of bidirectional DC-DC converter based on improved genetic algorithm by LI Li, CHEN Can, LI Can, GAO Feifan, CHEN Zhuaixia, LIU Yang, ZHOU Hongxi

Subjects: “…genetic algorithm…”
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Synthesis and Investigation of Algorithm for Estimation of Active Stator Resistance of Asynchronous Motor with Fixed Rotor by D. S. Odnolko

“…The paper proposes an algorithm for online identification of active stator resistance. …”
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Reentry Trajectory Optimization for a Hypersonic Vehicle Based on an Improved Adaptive Fireworks Algorithm by Xing Wei, Lei Liu, Yongji Wang, Ye Yang

“…As a relatively new swarm intelligent algorithm, an adaptive fireworks algorithm (AFWA) has exhibited promising performance on some optimization problems. …”
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Discrete particle swarm optimization based multi-objective service path constructing algorithm by Ding MA, Lei ZHUANG, Ju-long LAN

“…Aiming at previous research primarily focused on constructing service paths with a single objective,for exam-ple,latency minimization,cost minimization or load balance,which ignored the overall performance of constructed ser-vice paths,a multi-objective service path constructing algorithm based on discrete particle swarm optimization (MOPSO) was proposed.To promote the convergence rate and improve constructing performance,the criterions for selecting can-didate physical nodes and paths were explored,and a particle position initialization and update strategy (PIFC) was de-signed.Simulation experiments show that the proposed algorithms can improve the overall quality of service paths and increase the success rate and long-term average revenue.…”
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Algorithm PSO for maximum coverage of users using drones to find optimal points for deployment by Fariborz Rasouli

Subjects: “…algorithm pso…”
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Recognition algorithm of non punctured polarization codes based on structural characteristics of coding matrix by Yao WANG, Xiang WANG, Guodong YANG, Zhitao HUANG

“…In order to solve the problems of complexity and poor error adaptability in the blind recognition of standard non-punctured polarization codes, the theorems and propositions that could characterize the relationship between the code length and code rate, and distinguish information subchannel and frozen subchannel were proved.Based on the theorem and proposition, an efficient blind recognition algorithm was proposed.The proposed algorithm only needed to set the possible maximum code length, and the corresponding soft decision codewords matrixes and Kronecker matrixes were constructed.Based on the theorem and proposition proved, the check relationship between the two matrices was judged and the code rate and frozen bit position were estimated.The average likelihood difference was introduced as the test quantity, and the decision threshold was determined based on its theoretical probability distribution and minimax criterion.The simulation results show that the deduced theorem and propositions are consistent with the simulation results.Under the signal-to-noise ratio of 6 dB and code length of 1 024, the parameter recognition rate is still close to 100%.The recognition performance and computational complexity are better than the existing soft decision algorithms.…”
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A Low Computational Complexity SML Estimation Algorithm of DOA for Wireless Sensor Networks by Faming Gong, Haihua Chen, Shibao Li, Jianhang Liu, Zhaozhi Gu, Masakiyo Suzuki

“…The Stochastic Maximum Likelihood (SML) algorithm is adopted in this paper. The SML algorithm is well-known for its high resolution of DOA estimation. …”
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Energy efficiency maximization resource allocation algorithm in wireless-powered backscatter communication network by Yongjun XU, Bowen GU, Qianbin CHEN, Jinzhao LIN

“…In order to alleviate the energy consumption problem caused by the increasing number of Internet of things (IoT) nodes,an energy-efficient (EE) maximization based resource allocation algorithm was proposed for multi-carrier wireless-powered backscatter communication network.Firstly,a multivariable and nonlinear resource allocation model was formulated to jointly optimize transmit power,transmission time,reflection coefficient,and energy-harvesting allocation coefficient,where the maximum transmit power constraint of the power station and the minimum harvested energy constraint at the backscatter device were considered.Then,the original non-convex optimization problem was transformed into a convex one which was solved by using Dinkelbach’s method and the variable substitution approach.Furthermore,the analytical solution of the resource allocation problem was obtained based on Lagrange dual theory.Simulation results verify that the proposed algorithm has better EE by comparing it with the existing algorithm under pure backscatter mode and algorithm under the harvested-then-transmit mode.…”
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Prediction of Sonic Log Values Using a Gradient Boosting Algorithm in the 'AB' Field by Rasif Nahari, Utama Widya, Ardhya Garini Sherly, Fitri Indriani Rista, Pratama Novian Putra Dhea

“…To address missing data, machine learning algorithms, like gradient boosting, provide an effective solution. …”
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A Video Coding Algorithm Based on Intraframe and Interframe Joint Prediction of Wavelet Coefficients by Zhang Xudong Wang Desheng Peng Yingning (Tsinghua University, Beijing 100084)

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