A5110075851- Cooperative Communication and Network Coding
- Advanced Manufacturing and Logistics Optimization
- Industrial Technology and Control Systems
- Advanced MIMO Systems Optimization
- Advanced Computational Techniques and Applications
- Coding theory and cryptography
- Error Correcting Code Techniques
- Millimeter-Wave Propagation and Modeling
- DNA and Biological Computing
- Advanced Wireless Network Optimization
- Blind Source Separation Techniques
- Cognitive Radio Networks and Spectrum Sensing
- Advanced Adaptive Filtering Techniques
University of Electronic Science and Technology of China
2019-2020
Being a promising candidate technology for the fifth-generation cellular systems, ultra-dense network (UDN) is capable of improving system throughput by deploying more small cells (SCs) in existing macro-cells (MCs). In most cases, base stations (BSs) from both MCs tier and SCs are modeled as two independent homogeneous Poisson point processes (PPPs) or other derived PPP. previous works, area spectral efficiency (ASE) energy (EE) evaluated typical user's perspective, this method works well...
This letter concentrates on the spectrum sensing (SS) problem for noncircular (NC) signal in multiantenna cognitive radio networks. A novel detection method called NC local average variance (NC-LAV) is developed to exploit characteristic of primary signals SS. The distribution NC-LAV statistic absence user first derived. Then, based derived distribution, we present an asymptotic threshold determination proposed method. Compared peer methods, exhibits much lower complexity. Meanwhile,...
In heterogeneous ultra-dense networks (HUDNs), load balancing is always considered by offloading users from the macro base station (MBS) tier to small (SBS) tier, alleviate data traffic of MBS while it causes a serious problem that offloaded will suffer strong interference and hence signal-to-interference ratio (SIR) in low region for users. order improve performance these users, an mitigation scheme based on resource partitioning employed literature. Specifically, fraction blocks (RBs)...
In order to improve management level of mining materials, optimum loading scheme is important. Based on the analysis bulk cargo problem, taking carrying capacity and effective volume as constraint conditions, maximizing transport benefits target, mathematical model base optimization method established. And genetic algorithm introduced case study. The result shows that in solving materials has quick convergence, short term, higher precision. better satisfactory answer can be obtained after...
In order to improve management level of mining materials, optimum loading scheme is important. Based on the analysis bulk cargo problem, taking carrying capacity and effective volume as constraint conditions, maximizing transport benefits target, mathematical model base optimization method established. And genetic algorithm introduced case study. The result shows that in solving materials has quick convergence, short term, higher precision. better satisfactory answer can be obtained after...