In this paper, we investigate the resource allocation of mobile edge computing (MEC) in
cognitive capacity harvesting networks (CCHNs) when non-orthogonal multiple-access …

In this paper, we first employ non-orthogonal multiple access (NOMA) in a cognitive radio
(CR) based mobile edge computing (MEC) network to reduce the system delay. In particular …

Due to the limited computation resources and lifetime of user equipment, we study the
energy minimization problem for computation offloading in cognitive radio networks (CRNs) …

Due to the limited computation resources of mobile devices in cognitive radio networks, the
secondary users in the network can suffer from long executing time, which is not acceptable …

Mobile edge computing (MEC) has become a key component of 5G, via bringing
computation services to the edge of the mobile network to enhance the computational …

Non-orthogonal multiple access (NOMA)-based cognitive wireless networks can improve the
spectral efficiency to utilize the vacant spectrum resource and exploit the power domain …

Multi-access edge computing (MEC) can enhance the computing capability of mobile
devices, while non-orthogonal multiple access (NOMA) can provide high data rates …

To improve the radio spectral efficiency for 5G and beyond, novel radio access techniques
need to be designed to accommodate unprecedented number of connected devices, and …

In this paper, the problem of resource allocation for multi-carrier clustered non-orthogonal
multiple-access (NOMA)-enabled mobile edge computing (MEC) networks is considered. In …

This paper considers the problem of offloading-efficiency maximization for a mobile edge
computing (MEC) nonorthogonal multiple-access (NOMA) network with user clusters. The …