Learn to cache: Machine learning for network edge caching in the big data era
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 …
evolution of the wireless network architecture, but also brings about profound opportunities …
Energy efficiency on fully cloudified mobile networks: Survey, challenges, and open issues
Fully cloudified mobile network infrastructure, which is featured by the joint deployment of
heterogeneous cloud radio access networks and edge computing, will successfully cope …
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**
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 …
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
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 …
considered as an effective way to reduce latency and redundant data transmission …
Power control for multi-cell networks with non-orthogonal multiple access
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 …
maximization for multi-cell networks with non-orthogonal multiple access. Considering the …
Resource optimization with load coupling in multi-cell NOMA
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 …
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
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 …
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
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 …
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
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 …
nonorthogonal multiple access systems. In our analysis, a large number of users are …
Maximum throughput scheduling for multi-connectivity in millimeter-wave networks
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 …
seamless connectivity at the millimeter-wave frequency range. Due to the obstacles that …