This paper presents a novel and effective deep reinforcement learning (DRL)-based
approach to addressing joint resource management (JRM) in a practical multi-carrier non …

Attracted by the advantages of multi-access edge computing (MEC) and non-orthogonal
multiple access (NOMA), this article studies the resource allocation problem of a NOMA …

In this paper, we study power allocation for downlink multi-carrier non-orthogonal multiple
access (MC-NOMA) systems and examine the effects of residual cancellation errors …

Nonorthogonal multiple access (NOMA) is one of the promising technologies to meet the
huge access demand and high data-rate requirements of the next-generation networks. In …

Exploiting the advantages of both non-orthogonal multiple access technique and millimeter-
wave communications requires joint efficient resource allocation techniques toward …

Non-orthogonal multiple access (NOMA) is one of the most significant technologies to meet
the demand of high spectral efficiency (SE) in the fifth generation (5G) cellular networks. The …

Non-orthogonal multiple access (NOMA) is regarded as a promising technology to satisfy
the huge access demand and data rate requirements of the next generation network. In this …

This paper applies machine learning to optimize the transmission policies of cognitive radio
inspired non-orthogonal multiple access (CR-NOMA) networks, where time-division multiple …

For heterogeneous demands in fifth-generation (5G) new radio (NR), a massive machine
type communication (mMTC), enhanced mobile broadband (eMBB), and ultra-reliable and …

This paper studies a novel approach for successive interference cancellation (SIC) ordering
and beamforming in a multiple antennas non-orthogonal multiple access (NOMA) network …