A5101790012- Advanced MIMO Systems Optimization
- Cognitive Radio Networks and Spectrum Sensing
- Wireless Communication Networks Research
- IPv6, Mobility, Handover, Networks, Security
- Wireless Networks and Protocols
- Advanced Wireless Network Optimization
- Human Mobility and Location-Based Analysis
- Blind Source Separation Techniques
- Caching and Content Delivery
- Brain Tumor Detection and Classification
- Gene expression and cancer classification
- AI in cancer detection
- Opportunistic and Delay-Tolerant Networks
Shenyang Aerospace University
2020
Harbin Institute of Technology
2012-2015
Ministry of Public Security of the People's Republic of China
2015
Heilongjiang Institute of Technology
2012
Spectrum mobility as an essential issue has not been fully investigated in mobile cognitive radio networks (CRNs). In this paper, a novel support vector machine based spectrum prediction (SVM-SMP) scheme is presented considering time-varying and space-varying characteristics simultaneously CRNs. The of users (CUs) the working activities primary (PUs) are analyzed theory. And joint feature extraction (JFVE) method proposed on theoretical analysis. Then executed through classification SVM with...
This paper investigates the problem of network selection in access control for heterogeneous networks WCDMA/WLAN. To optimize decision policy, an optimization equation is defined with objective maximizing total rewards, and then a new Q-learning Based Network Selection (QBNS) mechanism proposed to solve equation. In QBNS Algorithm, algorithm employed by taking both capacity quality service (QoS) requirements users into account. addition, states are analyzed considering interference power...
To improve the intelligence of mobile-aware applications in heterogeneous wireless networks (HetNets), it is essential to establish an advanced mechanism anticipate change user location every subnet for HetNets. This paper proposes a multiclass support vector machine based mobility prediction (Multi-SVMMP) scheme estimate future mobile users according movement history information each In process, regular and random patterns are treated differently, which can reflect movements more...
Spectrum allocation is a key research problem for cognitive radio (CR) networks. However, most existing graphbased algorithms focus only on spectrum and don't take power control into consideration. In this paper, novel joint algorithm called cost connection degree based (CCB) in networks proposed. A new utility function designed to describe the system total our model. Simulation results show that CCB performs better than traditional both QoS requirements of secondary users (SUs) numbers...
Cognitive radio (CR) is regarded as an effective solution for future mobile communication networks. However, spectrum allocation a vital issue has not been fully discussed in cognitive networks (CRNs). In this paper, improved Manhattan-like structure mobility model proposed CRNs. Based on model, we present novel reallocation algorithm which considers the feature of secondary users (SUs). Simulation results validate good system overhead performance new part.
In order to ensure both of the whole system capacity and users QoS requirements in heterogeneous wireless networks, admission control mechanism should be well designed.In this paper, Multi-agent Q-learning based Admission Control Mechanism (MQACM) is proposed handle new handoff call access problems appropriately.MQACM obtains optimal decision policy by using an improved form single-agent method, (MQ) method.MQ method creatively introduced solve problem networks paper.In addition, different...
Cognitive radio (CR) technology is proposed to solve the spectrum scarceness problem in future. In this paper, different from previous researches, we pay attention mobile CR highway model chiefly. According model, a novel GM-based allocation scheme presented based on Grey theory which regards mobility of cognitive users. Simulation results show that compared with existing graph-based channel assignment schemes, new obtains more spectrums same parameters.
Mobility prediction can make a network system be more sensitive and anticipate to the change of location its users mobility management intelligent. However, there are challenges in for Heterogeneous wireless Networks (HetNets) because special topology user feature. This paper presents an Improved Markov Prediction mechanism (IMMP) mobile HetNets by considering difierent structure HetNets. IMMP takes advantage classic model traditional algorithm. Meanwhile, covers shortage when accuracy...
Cognitive radio (CR) is proposed as a critical means to reuse the primary spectrum in recent years. However, cognitive node mobility has not fully researched for mobile networks (CRNs). In this paper, support vector machine (SVM) based assignment scheme presented Manhattan city environments, which takes position and speed information of nodes into consideration during availability prediction. Numerical results show good performance total utilization comparing with traditional resource...