Channel (broadcasting)

Iterative method

MIMO

Mathematics

Beamforming

Wireless

Base station

Computer science

Mathematical optimization

Transmitter

Quantum mechanics

Power (physics)

Telecommunications

Algorithm

Karush–Kuhn–Tucker conditions

Transmitter power output

Maximum power transfer theorem

Optimization problem

Coordinate descent

Precoding

Physics

IEEE Journal on Selected Areas in Communications

An intelligent reflecting surface (IRS) is invoked for enhancing the energy harvesting performance of a simultaneous wireless information and power transfer (SWIPT) aided system. Specifically, an IRS-assisted SWIPT system is considered, where a multi-antenna aided base station (BS) communicates with several multi-antenna assisted information receivers (IRs), while guaranteeing the energy harvesting requirement of the energy receivers (ERs). To maximize the weighted sum rate (WSR) of IRs, the transmit precoding (TPC) matrices of the BS and passive phase shift matrix of the IRS should be jointly optimized. To tackle this challenging optimization problem, we first adopt the classic block coordinate descent (BCD) algorithm for decoupling the original optimization problem into several subproblems and alternately optimize the TPC matrices and the phase shift matrix. For each subproblem, we provide a low-complexity iterative algorithm, which is guaranteed to converge to the Karush-Kuhn-Tucker (KKT) point of each sub...

Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer