Minglu Jin
Dalian University of Technology
11 Papers
19 Citations
Minglu Jin is an academic researcher from Dalian University of Technology. The author has contributed to research in topics: MIMO & Secure transmission. The author has an hindex of 5, co-authored 11 publications.
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Papers
Optimization or Alignment: Secure Primary Transmission Assisted by Secondary Networks
TL;DR: Two schemes to improve the sum rate of SUs while guaranteeing the secrecy rate of PU and the principle of interference alignment is employed to eliminate interference from PU and other SUs at each secondary receiver and the interference from SUs is zero-forced at the primary receiver.
Secrecy Analysis for Cooperative NOMA Networks With Multi-Antenna Full-Duplex Relay
TL;DR: A two-stage jamming scheme, full-duplex-jamming (FDJam), is proposed to ensure the secure transmission of NOMA users and to measure the secrecy performance, analytical expressions for secrecy outage probability (SOP) are derived for both the cell-center and cell-edge users, and the asymptotic SOP analysis at high transmit power is presented.
Artificial noise assisted secure interference networks with wireless power transfer
TL;DR: The total transmit power of AN is maximized by jointly optimizing the information transmit power and the coefficient of power splitting, with the requirements of signal-to-interference-plus-noise ratio and harvested power satisfied.
Energy-Efficient Hybrid Precoding With Low Complexity for mmWave Massive MIMO Systems
TL;DR: A low-complexity energy-efficient SIC hybrid precoding based on the partly connected architecture is developed, which uses the partial singular value decomposition (SVD) to realize the sub-rate optimization and significantly reduce the complexity.
Resource Allocation in Topology Management of Asymmetric Interference Networks
TL;DR: The joint optimization of antenna selection and power allocation is developed through a stepped resource allocation optimization strategy to further improve the performance with low computational complexity in asymmetric interference networks.
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