In this letter, we study federated learning in a cellular system with a base station (BS) and a
large number of users with local data sets. We show that multichannel random access can …

In this paper, we study grant-free random access with massive multiple input multiple output
(MIMO) systems. We first show that the performance of massive MIMO based grant-free …

Non-orthogonal multiple access (NOMA) can improve the spectral efficiency by exploiting
the power domain and successive interference cancellation, and in order to improve the …

In this paper, we study a layered random access scheme based on non-orthogonal multiple
access to improve the throughput of multichannel ALOHA. At a receiver, successive …

In this article, we study the compressive random access (CRA) with two stages for machine-
type communication (MTC) in cellular Internet of Things (IoT). In particular, we consider the …

In machine-type communication (MTC), random access has been employed for a number of
devices and sensors to access uplink channels using a pool of preambles. To support …

To support machine-type communication (MTC), massive multiple-input multiple-output
(MIMO) has been considered for grant-free random access. In general, the performance of …

In this article, for efficient data collection with limited bandwidth, data-aided sensing (DAS) is
applied to the Gaussian process regression (GPR) that is used to learn data sets collected …

Machine-type communication (MTC) has been extensively studied to provide connectivity for
devices and sensors in the Internet-of-thing (IoT). Thanks to the sparse activity, random …

The massive number of the machine type communication terminals accessing the satellite
network brings a new challenge for the random access (RA) system. To meet the challenge …