Optimal tone allocation in downlink OFDMA networks is a non-convex NP-hard problem that
requires extensive feedback for channel information. In this paper, two constant complexity …

In this paper, a novel learning-based rate adaptation mechanism is proposed for a downlink
massive multiple-input-multiple-output (MIMO) network with underlaid device-to-device …

Cognitive radio is regarded as the ideal candidate for enhancing the efficiency of spectrum
usage for next-generation wireless systems. In fact, this emerging technology allows …

Multiple-input—multiple-output (MIMO) orthogonal frequency-division multiple access
(OFDMA) has been selected as the core physical-layer access scheme for the downlink of …

This paper studies optimal transmission over wireless channels with imperfect channel state
information available at the transmitter side in the context of point-to-point channels …

The problem of resource allocation (RA) in a downlink OFDMA system is examined under
the realistic assumption of imperfect channel state information (CSI) at the base station. In …

In this paper, we deal with the problem of acquiring the channel state information (CSI) at the
transmitter in large-scale multiple input multiple output (MIMO) systems, so-called massive …

It is well known that cross-layer scheduling which adapts power, rate and user allocation can
achieve significant gain on system capacity. However, conventional cross-layer designs all …

In this paper, we focus on a problem of joint subcarrier and rate allocation for an orthogonal
frequency division multiple access (OFDMA) full-duplex (FD) system. The goal is to …

We propose an algorithm for joint precoding and user scheduling in multiple-input multiple-
output systems with extremely-large aperture arrays, assuming realistic channel conditions …