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) supported by non-orthogonal multiple access (NOMA) has
recently gained a lot of interest due to its improved ability to lessen power consumption and …

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 …

The fresh and rising demands for high-reliability and ultrahigh-capacity wireless
communication have led to extensive research into 5G communications. The wide progress …

Non-orthogonal multiple access (NOMA) has been considered a promising technique for the
fifth generation (5G) mobile communication networks because of its high spectrum …

The non-orthogonal multiple access (NOMA) system is considered an important technology
that enables the fifth-generation (5G) wireless systems and beyond to satisfy different …

In this paper, we tackle the problem of optimizing user clustering, power, and resource (time
slot or bandwidth) allocation in the downlink of a hybrid non-orthogonal multiple access …

Visible light communication (VLC) has been introduced as a key enabler for high-data rate
wireless services in future wireless communication networks. In addition to this, it was also …

In this work, the impact of implementing Deep Reinforcement Learning (DRL) in predicting
the channel parameters for user devices in a Power Domain Non-Orthogonal Multiple …

The demand for bandwidth-intensive and delay-sensitive services is surging daily with the
development of 5G technology, resulting in fierce competition for scarce radio resources …