This article investigates intelligent reflecting surface (IRS)-aided multicell wireless networks, where an IRS is deployed to assist the joint processing coordinated multipoint (JP-CoMP) transmission from multiple base stations (BSs) cell-edge users. By taking into account fairness among users, we aim at maximizing minimum achievable rate of users by jointly optimizing transmit beamforming BSs ...

Intelligent reflecting surface (IRS) is a promising technology to enhance the coverage and performance of wireless networks. We consider application IRS non-orthogonal multiple access (NOMA), where base station transmits superposed signals users by virtue an IRS. The IRS-assisted NOMA networks with imperfect successive interference cancellation (ipSIC) perfect (pSIC) investigated invoking 1-bit...

This work gives a blind beamforming strategy for intelligent reflecting surface (IRS), aiming to boost the received signal-to-noise ratio (SNR) by coordinating phase shifts across reflective elements in absence of channel information. While existing methods IRS typically first estimate channels and then optimize shifts, we propose conditional sample mean based statistical approach that explores...

Intelligent reflecting surface (IRS) has emerged as a promising technology to reconfigure the radio propagation environment by dynamically controlling wireless signal’s amplitude and/or phase via large number of elements. In contrast vast literature on studying IRS’s performance gains in communications, we study this paper new application IRS for sensing/localizing targets networks. Specificall...

This paper considers a two-user downlink transmission in intelligent reflecting surface (IRS) aided network over fading channels. Particularly, non-orthogonal multiple access (NOMA) and two orthogonal (OMA) schemes, namely, time division (TDMA) frequency (FDMA), are studied. The objective is to maximize the system average sum rate for delay-tolerant transmission. We propose adjustment dynamic p...

This paper aims to investigate the benefit of using intelligent reflecting surface (IRS) in multi-user multiple-input single-output (MU-MISO) systems, presence eavesdroppers. We maximize weighted sum secrecy rate by jointly designing secure beamforming (BF), artificial noise (AN), as well phase shift IRS. An alternating optimization (AO) method is proposed deal with formulated non convex proble...

Intelligent reflecting surfaces (IRSs) are a promising technology for enhancing coverage and spectral efficiency, both in the sub-6 GHz millimeter wave (mmWave) bands. Existing approaches to leverage benefits of IRS involve use resource-intensive channel estimation step followed by computationally expensive algorithm optimize reflection coefficients at IRS. In this work, focusing on band commun...

Spectrum sensing is a key enabling technique for cognitive radio (CR), which provides essential information on the spectrum availability. However, due to severe wireless channel fading and path loss, primary user (PU) signals received at CR or secondary (SU) can be practically too weak reliable detection. To tackle this issue, we consider in letter new intelligent reflecting surface (IRS)-aided...

Intelligent reflecting surface (IRS) is a promising technology to improve the performance of backscatter communication systems by smartly reconfiguring multi-reflection channel. To fully exploit passive beamforming gain IRS in communication, channel state information (CSI) indispensable but more practically challenging acquire than conventional IRS-assisted systems, since passively reflects sig...