Learn to cache: Machine learning for network edge caching in the big data era

Z Chang, L Lei, Z Zhou, S Mao… - IEEE Wireless …, 2018 - ieeexplore.ieee.org
The unprecedented growth of wireless data traffic not only challenges the design and
evolution of the wireless network architecture, but also brings about profound opportunities …

Energy efficiency on fully cloudified mobile networks: Survey, challenges, and open issues

A Alnoman, GHS Carvalho… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Fully cloudified mobile network infrastructure, which is featured by the joint deployment of
heterogeneous cloud radio access networks and edge computing, will successfully cope …

Beam illumination pattern design in satellite networks: Learning and optimization for efficient beam hop**

LEI Lei, E Lagunas, Y Yuan, MG Kibria… - IEEE …, 2020 - ieeexplore.ieee.org
Beam hop** (BH) is considered to provide a high level of flexibility to manage irregular
and time-varying traffic requests in future multi-beam satellite systems. In BH optimization …

A deep learning approach for optimizing content delivering in cache-enabled HetNet

L Lei, L You, G Dai, TX Vu, D Yuan… - 2017 international …, 2017 - ieeexplore.ieee.org
In ultra-dense heterogeneous networks, caching popular contents at small base stations is
considered as an effective way to reduce latency and redundant data transmission …

Power control for multi-cell networks with non-orthogonal multiple access

Z Yang, C Pan, W Xu, Y Pan, M Chen… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, we investigate the problems of sum power minimization and sum rate
maximization for multi-cell networks with non-orthogonal multiple access. Considering the …

Resource optimization with load coupling in multi-cell NOMA

L You, D Yuan, L Lei, S Sun… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Optimizing non-orthogonal multiple access (NOMA) in multi-cell scenarios is much more
challenging than the single-cell case because inter-cell interference must be considered …

Adapting to dynamic LEO-B5G systems: Meta-critic learning based efficient resource scheduling

Y Yuan, L Lei, TX Vu, Z Chang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Low earth orbit (LEO) satellite-assisted communications have been considered as one of the
key elements in beyond 5G systems to provide wide coverage and cost-efficient data …

Learning-assisted optimization for energy-efficient scheduling in deadline-aware NOMA systems

L Lei, L You, Q He, TX Vu, S Chatzinotas… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
In this paper, we study a class of minimum-energy scheduling problems in non-orthogonal
multiple access (NOMA) systems. NOMA is adopted to enable efficient channel utilization …

Joint beamforming and power optimization with iterative user clustering for MISO-NOMA systems

Z Liu, L Lei, N Zhang, G Kang, S Chatzinotas - IEEE Access, 2017 - ieeexplore.ieee.org
In this paper, we minimize the transmit power for multiple-input single-output and
nonorthogonal multiple access systems. In our analysis, a large number of users are …

Maximum throughput scheduling for multi-connectivity in millimeter-wave networks

C Tatino, I Malanchini, N Pappas… - 2018 16th International …, 2018 - ieeexplore.ieee.org
Multi-connectivity is emerging as promising solution to provide reliable communications and
seamless connectivity at the millimeter-wave frequency range. Due to the obstacles that …