Min-max cost optimization for efficient hierarchical federated learning in wireless edge networks
Federated learning is a distributed machine learning technology that can protect users' data
privacy, so it has attracted more and more attention in the industry and academia …
privacy, so it has attracted more and more attention in the industry and academia …
Joint optimization of radio and computational resources allocation in blockchain-enabled mobile edge computing systems
The application of blockchain to mobile edge computing (MEC) systems has attracted great
interests. However, the design and optimization of blockchain and MEC in most existing …
interests. However, the design and optimization of blockchain and MEC in most existing …
Reconfigurable intelligent surface assisted mobile edge computing with heterogeneous learning tasks
The ever-growing popularity and rapid development of artificial intelligence (AI) have raised
rethinking on the evolution of wireless networks. Mobile edge computing (MEC) provides a …
rethinking on the evolution of wireless networks. Mobile edge computing (MEC) provides a …
Energy-efficient multiuser partial computation offloading with collaboration of terminals, radio access network, and edge server
Mobile-Edge Computing (MEC) could relieve computing pressure and save energy of
resource-constrained Smart Mobile Devices (SMDs) via computation offloading …
resource-constrained Smart Mobile Devices (SMDs) via computation offloading …
Energy-efficient resource allocation in multicarrier NOMA systems with fairness
AJ Muhammed, Z Ma… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) has attracted both academic and industrial interest
since it has been considered as one of the promising 5G technologies in order to increase …
since it has been considered as one of the promising 5G technologies in order to increase …
Enabling low-latency applications in LTE-A based mixed fog/cloud computing systems
In order to enable low-latency computation-intensive applications for mobile user
equipments (UEs), computation offloading becomes critical necessary. We tackle the …
equipments (UEs), computation offloading becomes critical necessary. We tackle the …
Energy-efficient device-to-device communications for green smart cities
To afford effective service of real-time monitoring and responses for smart cities, it is desired
to provide ubiquitous network connections and high data rate services. However, the huge …
to provide ubiquitous network connections and high data rate services. However, the huge …
Energy-efficient resource allocation for OFDMA heterogeneous networks
We proposed several energy-efficient resource allocation algorithms for the downlink of an
orthogonal frequency-division-multiple-access (OFDMA) based femtocell heterogeneous …
orthogonal frequency-division-multiple-access (OFDMA) based femtocell heterogeneous …
Energy efficiency and delay tradeoff in device-to-device communications underlaying cellular networks
This paper investigates the problem of revealing the tradeoff between energy efficiency (EE)
and delay in device-to-device (D2D) communications underlaying cellular networks …
and delay in device-to-device (D2D) communications underlaying cellular networks …
Joint subcarrier assignment with power allocation for sum rate maximization of D2D communications in wireless cellular networks
Device-to-device (D2D) communications underlaying cellular networks have been
recognized as a promising technology to improve the system capacity and spectral efficiency …
recognized as a promising technology to improve the system capacity and spectral efficiency …