In this paper, we model, analyze and optimize the multi-user multi-order-reflection (MUMOR) intelligent reflecting surface (IRS) networks. We first derive a complete MUMOR IRS network model applicable for arbitrary times of reflections, size number IRSs/reflectors. The optimal condition achieving sum rate upper bound with one in closed-form function analytical to achieve interference-free trans...

User privacy protection is considered a critical issue in wireless networks, which drives the demand for various secure information interaction techniques. In this paper, we introduce an intelligent reflecting surface (IRS)-aided security classification communication system, reduces transmit power of base station (BS) by classifying users with different requirements. Specifically, divide into c...

Intelligent reflecting surface (IRS) is a promising new paradigm to achieve high spectral and energy efficiency for future wireless networks by reconfiguring the signal propagation via passive reflection. To reap gains of IRS, channel state information (CSI) essential, whereas estimation errors are inevitable in practice due limited training resources. In this paper, order optimize performance ...

In order to improve the performance of mobile edge computing (MEC) system, intelligent reflecting surface (IRS) has recently been included. This paper investigates computation an IRS-aided MEC where access point services multi-MEC devices by utilizing two distributed IRSs operate a partial offloading strategy. Through collaboratively constructing cooperative passive beamforming at IRSs, central...

Intelligent reflecting surfaces (IRSs) have been attracting attention as a solution to coverage hole problems in millimeter-wave communication areas. They are considered be one of the key technologies next-generation mobile systems. Since polarized multiple-input-multiple-output (MIMO) is utilized systems deliver high-speed data transmission, an IRS also required applied for MIMO and reflect si...