High throughput, secure transmission, and minimum interference are required in beyond-
fifth-generation (B5G) networks. For this purpose, a mix of hybrid non-orthogonal multiple …

Enhancing spectral efficiency in non-line-of-sight (NLoS) environments is essential as 5G
networks evolve, surpassing 4G systems with high information rates and minimal …

Abstract In Non-Orthogonal Multiple Access (NOMA), the best way to fully exploit the benefits
of the system is the efficient resource allocation. For the NOMA power domain, the allocation …

Energy-efficient resource allocation for multi-cell multi-carrier non-orthogonal multiple
access (MCMC-NOMA) is a challenging task due to the interference and other related …

In this paper overview of recent selected works that deal with novel directions in which Non
orthogonal multiple access (NOMA) research is progressing is presented. These include the …

Federal Learning (FL) is an emerging technology in the field of machine learning (ML).
Compared with traditional ML, FL is an attractive method to deal with data security issues of …

The motivations for deploying energy and spectral-efficient network architectures are the
high energy consumption and the need for more spectral resources in modern cellular …

In this work, we conduct a comparative study on two deep unfolding mechanisms to
efficiently perform power control in the next generation wireless networks. The power control …

In this work, we design a generative artificial intelligence (GAI)-based framework for joint
resource allocation, beamforming, and power allocation in multi-cell multi-carrier non …

As an improved algorithm of the Reversible Jump Markov Chain Monte Carlo (RJMCMC),
Generalized Multiple-Try Reversible Jump (GMTRJ) algorithm can design the weight …