Yanan Liu
University of Western Ontario
15 Papers
21 Citations
Yanan Liu is an academic researcher from University of Western Ontario. The author has contributed to research in topics: Resource allocation & MIMO. The author has an hindex of 7, co-authored 15 publications.
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Papers
Deep Learning Based Hotspot Prediction and Beam Management for Adaptive Virtual Small Cell in 5G Networks
Yanan Liu,Xianbin Wang,Gary Boudreau,Akram Bin Sediq,Hatem Abou-zeid +4 more
- 24 Jan 2020
TL;DR: Simulation results illustrate that the proposed LSTM-based method can extract spatial and temporal traffic features of hotspot with higher accuracy, compared with some existing deep and non-deep learning approaches.
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Power allocation and performance analysis of the collaborative NOMA assisted relaying systems in 5G
Xin Liu,Xianbin Wang,Yanan Liu +2 more
TL;DR: Mathematical analysis and simulation results show that CNAR system outperforms existing transmission strategies and S-CNAR reaches similar performance with much lower complexity.
50
A Multi-Dimensional Intelligent Multiple Access Technique for 5G Beyond and 6G Wireless Networks
TL;DR: A novel multi-dimensional intelligent multiple access (MD-IMA) scheme is proposed to exploit disparate resource constraints among heterogeneous equipment for 5G beyond and 6G networks to achieve stringent yet diverse QoS with limited resources.
41
Situation-Aware Resource Allocation for Multi-Dimensional Intelligent Multiple Access: A Proactive Deep Learning Framework
TL;DR: A deep learning-based framework for multi-dimensional intelligent multiple access (MD-IMA) scheme is developed for beyond 5G and 6G wireless networks to meet the real-time and diverse quality of service (QoS) requirements by fully utilizing the available radio resources in heterogeneous domains.
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Angle-based beamforming in mmWave massive MIMO systems with low feedback overhead using multi-pattern codebooks
TL;DR: An angle-based beamforming scheme to reduce the feedback frequency and the number of feedback bits in a frequency division duplexing based 5G mmWave MIMO system and shows that two proposed user selection algorithms can adapt to scenarios with diverse requirements.
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