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 …

Over the last few years, interference has been a major hurdle for successfully implementing
various end-user applications in the fifth-generation (5G) of wireless networks. During this …

The Internet of Things (IoT) is rapidly becoming an integral part of our life and also multiple
industries. We expect to see the number of IoT connected devices explosively grows and will …

This paper studies energy efficient resource allocation for a machine-to-machine enabled
cellular network with nonlinear energy harvesting, especially focusing on two different …

In this paper, energy efficient resource allocation is considered for an uplink hybrid system,
where non-orthogonal multiple access is integrated into orthogonal multiple access (OMA) …

The inevitable next era of smart living requires unprecedented advances in enabling
technologies. The building blocks of this era are devices such as sensors, actuators, and …

Facing the dramatic increase of mobile devices and the scarcity of spectrum resources, grant-
free nonorthogonal multiple access (NOMA) emerges as an enabling technology for …

Machine-to-machine (M2M) constitutes the communication paradigm at the basis of Internet
of Things vision. M2M solutions allow billions of multi-role devices to communicate with each …

Massive connectivity and low latency are two important challenges for the Internet of Things
(IoT) to achieve the quality of service provisions required by the numerous devices it is …

By blending the concepts of non-orthogonal multiple access (NOMA) and orthogonal
frequency division multiplexing, in this paper, a novel hybrid scheme is conceived for …