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...

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...

This paper considers an angle-domain intelligent reflecting surface (IRS) system. We derive maximum likelihood (ML) estimators for the effective angles from base station (BS) to user and of propagation IRS user. It is demonstrated that accuracy estimated improves with number BS antennas. Also, deploying closer increases angle Then, based on angles, we propose a joint optimization beamforming be...

This paper investigates intelligent reflecting surface (IRS) enabled non-line-of-sight (NLoS) wireless sensing, in which an IRS is dedicatedly deployed to assist access point (AP) sense a target at its NLoS region. It assumed that the AP equipped with multiple antennas and uniform linear array. We consider two types of models, namely extended targets, for aims estimate target's direction-of-arr...