State-of-the-art energy detection (ED) based spectrum sensing requires perfect knowledge
of noise power and is vulnerable to noise uncertainty. An eigenvalue-based spectrum …

This paper considers physical layer interference management and network capacity
improvement in Internet of Things (IoT)-oriented cognitive MIMO-OFDM systems, where the …

In this paper, we investigate the robust beamforming schemes for a multi-user multiple-input-
single-output (MU-MISO) system with per-antenna power constraints and quantized channel …

In this paper, we investigate the robust beamforming for multi-user multiple-input single-
output systems under quantized channel direction information (CDI) with per-antenna power …

Chapter 4 explores the scope of artificial intelligence in cognitive radio (CR)-based
scenarios for the internet of things (IoT) networks. The demand for more data rates for …

In order to improve the spectral efficiency, in cognitive radio (CR) network with multiple-input
multiple-output (MIMO) links, several secondary users (SU) equipped with multi-antenna …

Zero-forcing (ZF), block diagonalization (BD) and signal to leakage and noise ratio (SLNR)
are three well known linear precoders for multiuser MIMO broadcast systems. In this paper …

As academic institutions become more reliant on Information Technology for everyday work
and learning, Harvard Business School needed to find a better way to meet the ever …

In this paper, we investigate the robust beamforming schemes for a multi-user multiple-input-
single-output (MU-MISO) system with per-antenna power constraints and quantized channel …

In TD-LTE-A downlink, user selection is a key technique when the number of users exceeds
the amount could be supported by eNodeB at one Transmission Time Interval (TTI). In order …