This paper proposes an interference alignment method with distributed and delayed
channel state information at the transmitter (CSIT) for a class of interference networks. The …

During the past decade, many wireless communication techniques have been developed to
achieve various goals such as higher data rate, more robust link quality, and higher number …

This paper proposes an adaptive bit allocation scheme by using a fully connected (FC) deep
neural network (DNN) considering imperfect channel state information (CSI) for …

The increasing demand for wireless multimedia has led to coordinated multicell
transmission which can increase data rate and reduces outage in cellular systems by …

This paper focuses on different distortion metrics in order to analyze the influence of the
imperfect channel state information (CSI) on the improved successive stream selection …

This paper studies the impact of channel error on the achievable rate of symmetrical K-user
multiple-input multiple-output linear interference alignment (IA) networks. The upper and …

Cellular systems that employ time division duplexing (TDD) transmission are good
candidates for implementation of interference alignment (IA) in the downlink since channel …

Network cooperation is known to bring multiplicative gains under certain ideal assumptions.
However, current wireless settings cope with many challenging constraints, as tight delay …

Reliable communication in wireless networks currently relies on the perfect estimation of the
varying state of the wireless channel at all communicating nodes. While the next generation …

In this thesis, we study the stream selection based interference alignment (IA) algorithms,
which can provide large multiplexing gain, to deal with the interference in the …