Precoding has been conventionally considered as an effective means of mitigating or
exploiting the interference in the multiantenna downlink channel, where multiple users are …

Thanks to the recent advances in processing speed, data acquisition and storage, machine
learning (ML) is penetrating every facet of our lives, and transforming research in many …

This paper considers the design of optimal resource allocation policies in wireless
communication systems, which are generically modeled as a functional optimization …

In this article, an overview of advanced convex optimization approaches to-multisensor
beamforming is presented, and connections are drawn between different types of …

Optimal design of wireless systems in the presence of fading involves the instantaneous
allocation of resources such as power and frequency with the ultimate goal of maximizing …

We study physical layer multicasting in multicell networks where each base station,
equipped with multiple antennas, transmits a common message using a single beamformer …

Ergodic stochastic optimization (ESO) algorithms are proposed to solve resource allocation
problems that involve a random state and where optimality criteria are expressed in terms of …

In intelligent reflecting surface (IRS) aided wireless communication systems, channel state
information (CSI) is crucial to achieve its promising passive beamforming gains. However …

Mobile/wireless virtual reality (VR) services, especially immersive 360° VR videos, have
advanced unprecedentedly in recent years. However, the high bandwidth requirement of VR …

Acquiring channel state information (CSI) at the base station (BS) is a critical requirement for
successfully employing transmit beamforming in multiantenna systems. In practice, channel …