Device-to-device underlaid cellular networks under Rician fading channels
Using Device-to-device (D2D) communications in a cellular network is an economical and
effective approach to increase the transmission data rate and extend the coverage …
effective approach to increase the transmission data rate and extend the coverage …
Energy-efficient cell activation, user association, and spectrum allocation in heterogeneous networks
Next generation (5G) cellular networks are expected to be supported by an extensive
infrastructure with many-fold increase in the number of cells per unit area compared to …
infrastructure with many-fold increase in the number of cells per unit area compared to …
Multi-objective energy-efficient resource allocation for multi-RAT heterogeneous networks
Heterogeneous network (HetNet) integrated with multiple radio access technologies (RATs)
is a promising technique for satisfying the exponentially increasing traffic demand of future …
is a promising technique for satisfying the exponentially increasing traffic demand of future …
Cognitive small cell networks: Energy efficiency and trade-offs
Heterogeneous networks using a mix of macrocells and small cells are foreseen as one of
the solutions to meet the ever increasing mobile traffic demand. Nevertheless, a massive …
the solutions to meet the ever increasing mobile traffic demand. Nevertheless, a massive …
Backhauling in heterogeneous cellular networks: Modeling and tradeoffs
DC Chen, TQS Quek… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Consumer demand for data has increased tremendously over the last years, and small cell
networks are increasingly being considered as one of the key technologies to cope with this …
networks are increasingly being considered as one of the key technologies to cope with this …
Resource allocation for energy efficiency optimization in heterogeneous networks
Heterogeneous network (HetNet) deployment is considered a de facto solution for meeting
the ever increasing mobile traffic demand. However, excessive power usage in such …
the ever increasing mobile traffic demand. However, excessive power usage in such …
Energy-efficient ultra-dense network using LSTM-based deep neural networks
As a means to achieve thousand-fold throughput improvements of future wireless
communications, ultra-dense network (UDN) where a large number of small cells are …
communications, ultra-dense network (UDN) where a large number of small cells are …
Caching policy toward maximal success probability and area spectral efficiency of cache-enabled HetNets
D Liu, C Yang - IEEE Transactions on Communications, 2017 - ieeexplore.ieee.org
In this paper, we investigate the optimal caching policy, respectively, maximizing the
success probability and area spectral efficiency (ASE) in a cache-enabled heterogeneous …
success probability and area spectral efficiency (ASE) in a cache-enabled heterogeneous …
Deploying federated learning in large-scale cellular networks: Spatial convergence analysis
The deployment of federated learning in a wireless network, called federated edge learning
(FEEL), exploits low-latency access to distributed mobile data to efficiently train an AI model …
(FEEL), exploits low-latency access to distributed mobile data to efficiently train an AI model …
Green HetNet CoMP: Energy efficiency analysis and optimization
This paper investigates advanced energy-efficient wireless systems in orthogonal frequency-
division multiple access (OFDMA) downlink networks using coordinated multipoint (CoMP) …
division multiple access (OFDMA) downlink networks using coordinated multipoint (CoMP) …