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Artificial Intelligence and Robotics

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Osgearth Stereoscopic Vision Generation Method For Hmd-Based Virtual Reality, Liheng Tan, Ma Qiang, Bingchuan Jiang, Li Feng Dec 2019

Osgearth Stereoscopic Vision Generation Method For Hmd-Based Virtual Reality, Liheng Tan, Ma Qiang, Bingchuan Jiang, Li Feng

Journal of System Simulation

Abstract: The technology of immersive virtual reality based on helmet mounted display (HMD) has become a focus of study, however, its visual content is mainly produced through commercial game engines. OsgEarth is an open-source, state-of-the-art and widely used digital earth simulation system. Based on this, we studies the stereoscopic vision generation method for global virtual terrain environment, mainly focusing on: stereoscopic vision theory; construction of global high-precision virtual geographical environment; calculation of binocular view frustrum; system integration. The proposed method is verified under the hardware conditions of PC and HTC VIVE, which can generate stereo images of the global virtual …


Simulation Platform For Invulnerability Of Industrial Wireless Sensor Networks, Xiuwen Fu, Yongsheng Yang Dec 2019

Simulation Platform For Invulnerability Of Industrial Wireless Sensor Networks, Xiuwen Fu, Yongsheng Yang

Journal of System Simulation

Abstract: Existing simulation platforms for industrial wireless sensor networks (IWSNs) mainly focus on the general scenario and fail to take into consideration the impacts of interference brought by external environments and emergencies on network performance, thus failing to evaluate the network invulnerability. For given the environment-impacted and event-driven features of IWSNs, the connections between network invulnerability and deployment environment are built. On this basis, a simulation platform for invulnerability of IWSNs is proposed by introducing deployment environment component and event creator. Experiments show that the platform is capable of evaluating the invulnerability of IWSNs.


Design And Implementation Of Interactive Ar System For Campus Roaming, Shengwei Qin, Li Zhong, Jinfeng Li, Zihao Chen, Jingqian Ding, Wanshun Liu Dec 2019

Design And Implementation Of Interactive Ar System For Campus Roaming, Shengwei Qin, Li Zhong, Jinfeng Li, Zihao Chen, Jingqian Ding, Wanshun Liu

Journal of System Simulation

Abstract: There are many kinds of navigation applications in universities recently. These applications have obvious shortcomings, which only indicate the outdoor locations without detail information; even some places cannot be found in the map; and it takes a lot of time to design a system. Meanwhile the system cannot achieve real-time interaction effect in virtual ramble. An interactive campus roaming augmented reality (AR) system is designed combining with GPS module for locating outside the campus and utilizing deep learning technology to achieve locating the inside buildings of campus. Simultaneously AR technology will improve interactivity of the system. The experiment …


Research And Implementation Of Driving Concern Area Detection Based On Deep Learning, Jihua Ye, Shuxia Shi, Hanxi Li, Shimin Wang, Siyu Yang Dec 2019

Research And Implementation Of Driving Concern Area Detection Based On Deep Learning, Jihua Ye, Shuxia Shi, Hanxi Li, Shimin Wang, Siyu Yang

Journal of System Simulation

Abstract: As a key technology of intelligent driving, driving concern area detection method has an important impact on the performance of intelligent driving or intelligent early warning system. In view of the shortcomings of the existing methods, this paper proposes an effective method for driving concern area detection based on the deep learning. We obtain the camera internal and external parameters by using camera self-calibration method based on camera model, use the Canny edge detection and Bisecting K-means clustering to realize the vanishing point estimation, and establish the road detection model based on the obtained estimates. We obtain the depth …


Visualization Analysis Method Of Passenger Hotspot Based On Fast Density Clustering, Zihe Huang, Shangbing Gao, Zhigeng Pan, Hui Hao, Qiyu Liao, Fengfeng Zhao Dec 2019

Visualization Analysis Method Of Passenger Hotspot Based On Fast Density Clustering, Zihe Huang, Shangbing Gao, Zhigeng Pan, Hui Hao, Qiyu Liao, Fengfeng Zhao

Journal of System Simulation

Abstract: With the development of urbanized transportation, the perceptual computing plays an important role in smart cities. Aiming at the problem that the traditional density clustering algorithm cannot adapt to massive taxi GPS trajectory data and visualization, the BCS-DBSCAN (Big-Data Cluster Center Statistics Density-Based Spatial Clustering of Applications with Noise) clustering algorithm is proposed. The algorithm can segment and parallelize the trajectory data, extract the maximum density cluster, and adapt the result to the visualization model. The experimental results show that compared with other popular methods, this method has significant advantages in extracting clustering speed, accuracy and visualization of urban …


Cooperative Control Technology Of Networked Autonomous Driving Vehicle Based On Delay Compensation, Zhengze Zhu, Haiying Zhou, Yongzhi Fu, Zhou Kui, Sishan Wang, Jiayuan Gong, Sihao Deng, Kunming Hou Dec 2019

Cooperative Control Technology Of Networked Autonomous Driving Vehicle Based On Delay Compensation, Zhengze Zhu, Haiying Zhou, Yongzhi Fu, Zhou Kui, Sishan Wang, Jiayuan Gong, Sihao Deng, Kunming Hou

Journal of System Simulation

Abstract: In view of the disordered and lost packets problems in intelligent transportation system, this paper studies the cooperative control technology of autonomous driving vehicle and proposes an autonomous platoon-driving model based on Zero Order Hold (ZOH) information processing mechanism. A dedicated nonlinear state estimation algorithm is used to compensate for the delay so the platoon-driving model remains valid under the complex vehicle driving environments. A real autonomous driving platoon is tested in a vehicle proving ground for cooperative driving. The analysis of the experimental data and simulation results based on the real networked autonomous driving system verified the stability, …


Numerical Simulation Of Steady Flow Performance Of Venturi Tube Based On Fluent, Fuyu Liu, Xiaodong Hu, Zhixi Liang, Qinglei Liu Dec 2019

Numerical Simulation Of Steady Flow Performance Of Venturi Tube Based On Fluent, Fuyu Liu, Xiaodong Hu, Zhixi Liang, Qinglei Liu

Journal of System Simulation

Abstract: The cavitation flow performances of a given Venturi tube were studied to get the steady flow curve and predict the cavitation region based on the realizable k-ε turbulence model and Zwart (Zwart-Gerber-Belamri) cavitation model under the designed conditions with FLUENT software. The throat diameters D of the Venturi tube were chosen as 3mm, 5mm, 7mm and 9mm respectively; and the distances L between the throat and the entrance were 60mm,40mm and 20mm respectively. It can be concluded that: (1) The phenomenon of hydraulic cavitation is the main reason for the steady flow of Venturi tubes; (2) Throat diameter affects …


Research On Hwil Simulation Of Rf/Ir Dual-Mode Sensors Based On Compact Antenna, Gao Yang, Ma Jing, Huiyang Qu, Qun Wei, Jindong Fei Dec 2019

Research On Hwil Simulation Of Rf/Ir Dual-Mode Sensors Based On Compact Antenna, Gao Yang, Ma Jing, Huiyang Qu, Qun Wei, Jindong Fei

Journal of System Simulation

Abstract: The advent of RF/IR dual-mode sensor technology in the more and more completed detecting environment has led to the requirement of simulation tools that are necessary to test dual-mode sensor. The hardware-in-the-loop simulation experiment and test of the radio frequency/infrared composite sensor are carried out.A RF/IR dual-mode simulation method based on the Compact antenna test ranges is proposed here. This system consists of IR simulator, RF simulator, beam-combiner etc. The testing result shows that RF/IR dual-mode simulation system has abilities of IR transmission and RF reflection, and could be used in RF/IR dual-mode sensor simulation.


Temperature Field Simulation Analysis Of Common Rail Injector Based On Multi-Field Coupling, Yutao Chen, Zuoqun Wang, Zhengwei Long, Mingrui Zhang, Qingsong An, Guibing Chen Dec 2019

Temperature Field Simulation Analysis Of Common Rail Injector Based On Multi-Field Coupling, Yutao Chen, Zuoqun Wang, Zhengwei Long, Mingrui Zhang, Qingsong An, Guibing Chen

Journal of System Simulation

Abstract: The reliability of high pressure common rail injector depends on the calculation accuracy of its temperature changing. Due to the temperature measurement limitation and difficulty, in order to obtain more detailed temperature distribution, a coupling physical model is established in this paper based on multi-fields coupling analysis method, and a method based on the uni-directional coupling for calculating the temperature distribution of injector accurately is developed. The results show that the convective heat transfer coefficient varies with the flow state and the multi-field coupling method can correct the convective heat transfer coefficient according to the flow state automatically, which …


Chaotic Time Series Prediction Based On Gaussian Processes Mixture, Zhenjie Feng, Fan Yu Dec 2019

Chaotic Time Series Prediction Based On Gaussian Processes Mixture, Zhenjie Feng, Fan Yu

Journal of System Simulation

Abstract: Aiming at the problem that the existing learning algorithms of Gaussian processes mixture (GPM) model, such as Markov Chain Monte Carlo (MCMC), variation or leave one out, have high computational complexity, a hidden variables posterior hard-cut iterative training algorithm is proposed, which simplifies the training process of the model. The GPM model based on the proposed algorithm is applied to chaotic time series prediction. The effects of embedding dimension, time delay, learning sample number, and testing sample numbers on predictive ability are discussed. It is demonstrated by the experimental results that the prediction of the GPM model is more …


Virtual Scene Roaming Method Supporting Multi-Layer Path Planning, Shi Min, Yukun Wei, Xiangchen Jin, Suqin Wang, Tianlu Mao Dec 2019

Virtual Scene Roaming Method Supporting Multi-Layer Path Planning, Shi Min, Yukun Wei, Xiangchen Jin, Suqin Wang, Tianlu Mao

Journal of System Simulation

Abstract: Taking the automatic role pathfinding in three-dimensional virtual scene as the research background, the author proposes a method of multi-layer pathfinding based on A-star algorithm, and uses advanced heuristic functions to evaluate the cost values of various expansion nodes to confirm the optimal solution to the problems. By introducing collision detection mechanism, the navigation path generated by the improved A* algorithm is modified to avoid collision; and by interpolating the fixed path, the smooth navigation path is constructed using Bézier Curve. The experimental results show that the path finding results can well adapt to the multi-layer case when the …


Personalized Music Recommendation Algorithm Tfpmf, Xining Ye, Wang Meng Dec 2019

Personalized Music Recommendation Algorithm Tfpmf, Xining Ye, Wang Meng

Journal of System Simulation

Abstract: In recent years, the personalized context-aware recommendation is the rub and hotness in the research of recommendation system, and the data sparseness is the main problem faced by the current recommendation systems. In the setting of music recommendation, the representing method of varieties of situational information is improved. A model of TFPMF is proposed, which combines the model of RR-PMF with the tensor decomposition. TFPMF is optimized by alternative least squares (ALS). By the simulation experiments in the last.fm dataset, we got the TOP-N recommended list through the simulation program. The simulation results show that the proposed algorithm has …


Pulse Signal Detection Based On Dual Extended Duffing Oscillators, Wenmao Luo Dec 2019

Pulse Signal Detection Based On Dual Extended Duffing Oscillators, Wenmao Luo

Journal of System Simulation

Abstract: Because the chaotic oscillator can detect signal under lower SNR than the usual signal detection methods, it has been widely studied. In order to extend the application range of the existing chaotic oscillator to aperiodic pulse signal detection, a detection method based on dual Duffing oscillator is proposed. The method uses the difference between the state variables of two generalized time scale Duffing oscillators to detect signal. By selecting the system parameters rationally, the method can detect aperiodic square pulse while the SNR is as low as -30 dB, and detect signals at lower SNR than existing methods. …


Dynamic Shadow Detection And Tracking Of Online Video From Mobile View, Youpeng Zhang, Wang Chun, Yanli Liu Dec 2019

Dynamic Shadow Detection And Tracking Of Online Video From Mobile View, Youpeng Zhang, Wang Chun, Yanli Liu

Journal of System Simulation

Abstract: A shadow edge detection and tracking framework based on optical flow tracking in outdoor scenes is proposed. The SVM is trained by using the edge information features extracted from the known results; the optical flow tracking is performed on the two frames before and after; and the SVM model is used to identify the points corresponding to the shadow features from the neighborhood Canny confidence edges of the unstable tracking points. A method for dynamically updating the SVM is designed for the new material problem of the scene caused by the viewpoint movement. The complexity of the shadow projection …


Surgery Simulation Of Internal Fixation For Compression Fractures, Xie Cui, Junmei Geng, Li Jian, Junyu Dong Dec 2019

Surgery Simulation Of Internal Fixation For Compression Fractures, Xie Cui, Junmei Geng, Li Jian, Junyu Dong

Journal of System Simulation

Abstract: Virtual surgery simulation provides new means for medical surgery training with realism and immersion. A virtual surgery simulation of internal fixation for compression fractures is designed and implemented. By constructing 3D surgical scene, making deformation animation, adopting multi-level colliders combination and switching method for collision detection, and designing a multi-factors force feedback model to compute the tactile force and mapping the values to the different levels of vibration intensity of the HTC handle, combining with voice guidance and UI visual feedback, a visual, audible and tactile multi-channel surgical experience can be obtained. The system provides a guiding training module …


Research On Physical Simulation Method Of Micro-Doppler Effect Of Laser Scattering Echo, Du Jian, Zhang Xing, Hongming Zhao, Gao Yang, Cao Qiang, Xinlan Zhang Dec 2019

Research On Physical Simulation Method Of Micro-Doppler Effect Of Laser Scattering Echo, Du Jian, Zhang Xing, Hongming Zhao, Gao Yang, Cao Qiang, Xinlan Zhang

Journal of System Simulation

Abstract: In order to realize the physical simulation of the micro-Doppler effect of laser detection echo, a mathematical model of micro-Doppler effect for single-point motion is established. Two physics simulation methods for laser scattering echo micro-Doppler effect based on controllable vibrator and acousto-optical modulator are proposed, and two experiment systems are set up. The experimental results show that the two methods can achieve the modulation of laser wave echo. The advantage of the simulation scheme based on controllable vibration is that the simulation results are closer to the actual situation, but the frequency modulation range is smaller, while the …


Simulation And Analysis On The Moving Performance Of Quiet Zone On Compact Antenna Test Range, Liwei Guo, Simin Li, Ma Jing, Peng Lin, Jiang Xing Dec 2019

Simulation And Analysis On The Moving Performance Of Quiet Zone On Compact Antenna Test Range, Liwei Guo, Simin Li, Ma Jing, Peng Lin, Jiang Xing

Journal of System Simulation

Abstract: Compact Antenna Test Range (CATR) is an important equipment for Radar-Cross Section test. In order to generate an approximate Uniform Plane Wave (UPW) illuminating environmentand satisfy far field conditions of antenna measurement, the quiet zone scanning of the compact antenna test range is studied by controlling the phase of the array feeding. When the three-tuple array feed and the 2×2 array feed are simulated and only phase changes, the array feed beam scanning is controlled to realize the quiet zone scanning characteristics.The movement characteristics of the quiet zone for the compact antenna test range is analyzed. The movement of …


Study On Model And Accumulation Rule For Departure Check-In Queues, Zhiwei Xing, Junxian Jiang, Luo Xiao, Luo Qian, Yang Yang Dec 2019

Study On Model And Accumulation Rule For Departure Check-In Queues, Zhiwei Xing, Junxian Jiang, Luo Xiao, Luo Qian, Yang Yang

Journal of System Simulation

Abstract: The aggregation rule of departure passengers in the terminal building is studied in combination with human behavior dynamics. Based on this, the change rule of queuing length of departing passengers on non-full-open check-in island is studied. The queuing process is discretized by introducing the concept of time series, and the queue length Markov Chain is obtained in the serpentine queuing form. Then, the aggregation rate of each time series is predicted by the single-flight departure passenger aggregation model. By selecting the appropriate value of the check-in counter service rate, the check-in queuing length model of multiple adjacent flights is …


Gpr Modeling Method Based On Kernel Slow Feature Analysis And Time Delay Estimation, Huilai Peng, Weili Xiong Dec 2019

Gpr Modeling Method Based On Kernel Slow Feature Analysis And Time Delay Estimation, Huilai Peng, Weili Xiong

Journal of System Simulation

Abstract: A Gaussian process regression modeling method based on kernel slow feature analysis is proposed to deal with the time delay and nonlinear characteristics in industrial processes. The time delay in the industrial data is effectively extracted by fuzzy curve analysis and the optimal time-delay in the data is obtained. The model data is reconstructed based on the optimal delay. The method of kernel slow feature analysis is used to extract the nonlinear features of the reconstructed data. The Gaussian process regression model is established based on the extracted features. The effectiveness and performance of the method are verified by …


Simulation And Experiment Of Friction Modeling And Compensation Of Scara, Li Lin, Yanlong Lin, Yanbiao Zou Dec 2019

Simulation And Experiment Of Friction Modeling And Compensation Of Scara, Li Lin, Yanlong Lin, Yanbiao Zou

Journal of System Simulation

Abstract: Due to the friction of joints, the localization accuracy of Scara robot is deteriorated. To deal with this problem, the friction of robot joints is modeled, identified and compensated. A method of identifying the friction force of robot working in limited working space is proposed. The Lugre friction model is used to describe the joint friction of the robots. By allowing the robot to track the sinusoidal curve, the relationship between the friction torque and the joint velocity is established, and the friction parameters are identified. The adaptive control method is proposed to control the robot. The experiment and …


Flow Stability Of Hunt Flow Under Low-Intensity Magnetic Field, Dong Shuai, Li Shuang, Xuemin Ye Dec 2019

Flow Stability Of Hunt Flow Under Low-Intensity Magnetic Field, Dong Shuai, Li Shuang, Xuemin Ye

Journal of System Simulation

Abstract: The stability of conducting fluid flow in ducts under magnetic field is vital to materials preparation and the design and operation of thermonuclear fusion cooling system. A model of MHD duct flow which is known as Hunt’s flow is simulated by non-normal mode stability analysis in this study.. The amplification and distribution of optimal primary perturbations are obtained by solving iteratively the direct and adjoint governing equations with respect of the perturbation variables. Four modes of perturbations with different symmetries in the space are considered, and the effect of the low-intensity magnetic field is also taken into …


Simulation Research On Operation Effect Of Vav Air-Conditioning System With Variable Water Temperature Strategy, Qinglong Meng, Zhibo Zhang, Xiong Cheng Dec 2019

Simulation Research On Operation Effect Of Vav Air-Conditioning System With Variable Water Temperature Strategy, Qinglong Meng, Zhibo Zhang, Xiong Cheng

Journal of System Simulation

Abstract: Aiming at the problem of coordinated operation between VAV (variable air volume) and variable water temperature in central air conditioning system, a TRNSYS dynamic simulation model of air conditioning system with adjustable air supply and water supply temperature is established, and the accuracy of the model is proved by experiments. By controlling the terminal air volume to simulate the effect of variable water temperature operation on the air conditioning system under different load rates, the optimal water supply temperature of the air conditioning system under different load rates is obtained, and the variable water temperature operation strategy of the …


Synthetic Aperture Ultrasonic Imaging Algorithm Based On Robust Capon Beamforming In Eigenspace, Yecai Guo, Xiaoxing Ji Dec 2019

Synthetic Aperture Ultrasonic Imaging Algorithm Based On Robust Capon Beamforming In Eigenspace, Yecai Guo, Xiaoxing Ji

Journal of System Simulation

Abstract: In order to lower the main lobe width and side lobe amplitude of SAF beams ,improve the robustness of ultrasound imaging algorithm, resolution, contrast in images, a synthetic aperture ultrasonic imaging algorithm based on robust Capon beamforming in eigenspace is proposed. Under the principle of MV, this algorithm firstly uses the Toeplitz to realize the reconstruction of the interference-noise covariance matrix and keep it nonsingular. Secondly, the vector error is constrained by the signal subspace and the elliptic constraint set in feature space. Finally, the optimal weight vector which is used to weight and image the echo data is …


Differential Evolution Quantum Particle Swarm Optimization For Parameter Estimation Of Fractional-Order Chaotic System, Dong Ze, Ma Ning Dec 2019

Differential Evolution Quantum Particle Swarm Optimization For Parameter Estimation Of Fractional-Order Chaotic System, Dong Ze, Ma Ning

Journal of System Simulation

Abstract: In order to accurately estimate the unknown parameters for fractional order chaotic systems, a quantum particle swarm optimization algorithm based on differential quantum properties is proposed. On the basis of quantum behaved particle swarm optimization, variation, crossover and selection operation are utilized by particles, which can better keep the diversity of the particles in the population, avoiding the local optimum in the later phase of the iteration. The multi-neighborhood local search strategy is used for particles’ local search to improve search precision. Standard test functions are used to test the algorithm, and the test results show that the …


The Simulation Of Ac Servo Network Control System, Wang Lin, Chongquan Zhong Dec 2019

The Simulation Of Ac Servo Network Control System, Wang Lin, Chongquan Zhong

Journal of System Simulation

Abstract: The networking trend of AC servo system is becoming more and more remarkable. The research on permanent magnet synchronous motor(PMSM) mainly focuses on the continuous improvement of control strategy. It is rarely combined with solving real network delay and packet loss problems. The vector control strategy of PMSM is studied. In view of the delay and packet loss in the network environment, the mathematical model of network control system (NCS) is derived, and a simulation model based on TrueTime and Simulink is established to simulate the delay and packet loss phenomenon in the network transmission. The results show that …


Multi-Objective Model Of Distribution Route Problem For Fresh Electricity Commerce Under Uncertain Demand, Zhang Qian, Xiong Ying, Mingke He, Zhang Hao Dec 2019

Multi-Objective Model Of Distribution Route Problem For Fresh Electricity Commerce Under Uncertain Demand, Zhang Qian, Xiong Ying, Mingke He, Zhang Hao

Journal of System Simulation

Abstract: Considering the distribution cost, freshness of fresh products, carbon emissions and customer demand uncertainty and other factors, a multi-objective optimization model of distribution path planning is established. Based on the robust optimization method for dealing with uncertain problems, the multi-objective model of distribution routing planning is optimized for the situation that the discrete demand belongs to the uncertainty set of ellipsoid. The model is solved by using the main target method and fruit fly algorithm. It is proved that the model and algorithm are robust and can effectively suppress the disturbance caused by the uncertainty of the demand. This …


Research On Urban Rail Transit Route Choice Decision Based On The Improved Imperialist Competition Algorithm, Xiaofeng Lian, Ye Lu, Wang Yan, Limin Jia, Huiru Ma Dec 2019

Research On Urban Rail Transit Route Choice Decision Based On The Improved Imperialist Competition Algorithm, Xiaofeng Lian, Ye Lu, Wang Yan, Limin Jia, Huiru Ma

Journal of System Simulation

Abstract: This paper proposes a method of passenger route selection based on the imperialist competition improvement algorithm (FAST-ICA) to improve the efficiency of passenger route selection. Six key factors influencing the choice of passenger route are selected. On this basis, the generalized travel cost function is constructed and the passenger route selection model is established. By improving the imperial competition way in the imperialist competition algorithm (ICA), the weakest imperial groups are quickly divided up in each iteration of ICA algorithm to accelerate the convergence rate. Based on the proposed FAST-ICA algorithm, the problem of passenger choice in different environments …


Multi-Channel Transmission Optimization Of Campus Internet Of Things Based On Pheromone Genetic Algorithm, Zhiyong Chen, Liu Hao Dec 2019

Multi-Channel Transmission Optimization Of Campus Internet Of Things Based On Pheromone Genetic Algorithm, Zhiyong Chen, Liu Hao

Journal of System Simulation

Abstract: Aiming at the difficulty in selecting and optimizing the multi-path transmission of campus Internet of Things information, an optimization algorithm of network multi-path transmission based on intelligent optimization algorithm is proposed. Based on the standard genetic algorithm and the concept of pheromone concentration in ant colony algorithm, this algorithm improves the global optimization ability and convergence efficiency by controlling the evolution direction of individuals, and designs and constructs an evaluation index mathematical model which conforms to the characteristics of multi-channel information transmission optimization in the Internet of Things. The mathematical model of the evaluation index realizes the multi-channel comprehensive …


Wood Surface Defect Detection Based On Adaboost And Cnn, Hongjun Wang, Zouzou Li, Xiangjun Zou Dec 2019

Wood Surface Defect Detection Based On Adaboost And Cnn, Hongjun Wang, Zouzou Li, Xiangjun Zou

Journal of System Simulation

Abstract: In order to obtain the location information and category information of wood surface defects in the early stage of intelligent wood cutting, a combined algorithm for fast identification and location of wood surface defects is proposed based on digital image processing technology for fast recognition and location of wood surface defects. The Adaboost cascade classifier algorithm is used to extract the candidate frames of the wood surface defect region in the image in order to solve the problem that the traditional segmentation method is not effective for multi objects processing. A CNN model with self-learning ability is used to …


Joint Resource Partitioning And Offloading Analysis In Heterogeneous Ultra-Dense Networks, Zhen Yan, Jiangpan Shi, Qiaoshou Liu Dec 2019

Joint Resource Partitioning And Offloading Analysis In Heterogeneous Ultra-Dense Networks, Zhen Yan, Jiangpan Shi, Qiaoshou Liu

Journal of System Simulation

Abstract: For the problem of load balancing between macro base station and small base station in heterogeneous ultra-dense networks, a general offloading framework is proposed based on the distance between users and the nearest base station. By partitioning network spectrum resource and using stochastic geometry, the expression of coverage probability and average ergodic rate of users in the fixed region and the random region are deduced on the basis of guaranteeing the quality of service of the macro users offloaded. The simulation results show that the combination of resource partitioning and offloading effectively improves the coverage probability and average ergodic …