Standard machine-learning approaches involve the centralization of training data in a data
center, where centralized machine-learning algorithms can be applied for data analysis and …

In the fifth generation (5G) of wireless communication systems, hitherto unprecedented
requirements are expected to be satisfied. As one of the promising techniques of addressing …

The enhanced proliferation of connected entities needs a deployment of innovative
technologies for the next generation wireless networks. One of the critical concerns …

Mobile edge computing (MEC) has emerged as a promising technique to enhance
computing capacity of mobile devices by offloading tasks to base station for remote …

This paper investigates the problem of resource allocation for reconfigurable intelligent
surface (RIS)-assisted wireless communication system with rate splitting multiple access …

In this paper, the problem of maximizing the wireless users' sum-rate for uplink rate splitting
multiple access (RSMA) communications is studied. In the considered model, the message …

In this paper, an intelligent reflecting surface (IRS) aided uplink (UL) rate-splitting multiple
access (RSMA) system is investigated for dead-zone users where the direct link between the …

This letter investigates the power control and channel assignment problem in device-to-
device (D2D) communications underlaying a non-orthogonal multiple access (NOMA) …

In this paper, the sum-rate maximization problem is studied for wireless networks that use
downlink rate splitting multiple access (RSMA). In the considered model, the base station …

This paper investigates an uplink non-orthogonal multiple access (NOMA)-based mobile-
edge computing (MEC) network. Our objective is to minimize a linear combination of the …