This paper proposes prediction-and-sensing-based spectrum sharing, a new spectrum-
sharing model for cognitive radio networks, with a time structure for each resource block …

This paper presents a new adaptive algorithm for joint beamforming and antenna selection
in mobile communication systems. Such an algorithm is of particular interest for massive …

This paper considers the short blocklength regime for cognitive radio networks (CRNs) to
deliver ultra-reliable and low-latency communications (URLLCs) promised for beyond 5G …

Part I of this two-part paper focused on the formulation of percentile problems, complexity
analysis, and development of power control algorithms via the quadratic fractional transform …

As the proliferation of mobile devices has led to an ever-growing demand for wireless
Internet services, the spectrum shortage issue becomes increasingly severe and spectrum …

Abstract Internet of Things (IoT) allows the connectivity of smart devices embedded with
sensors, but with the growing problem of overcrowding in unlicensed bands, the data …

In underlay spectrum sharing, transmit antenna selection (TAS) improves the performance of
a secondary system and helps it control the interference it causes to a primary system. TAS …

Transmit antenna selection is a low-complexity multiple-antenna technique that exploits
spatial diversity using only one radio frequency chain. We investigate it for an underlay …

This paper studies a cognitive radio (CR) network which consists of a full-duplex (FD) multi-
user (MU) multipleinput multiple-output (MIMO) secondary user (SU) networks operating …

Massive Multiple Input Multiple Output (MIMO) is considered a promising technology to get
high multiplexing gain in the cognitive network. However, the precoder design at the …