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 alternatively 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 subproblem. The BCD algorithm is
rigorously proved to converge to the KKT point of the original problem. We also
conceive a feasibility checking method to study its feasibility. Our extensive
simulation results confirm that employing IRSs in SWIPT beneficially enhances
the system performance and the proposed BCD algorithm converges rapidly, which
is appealing for practical applications.

本论文提出了一种智能反射表面 (IRS) 优化算法，应用于同时无线信息与能量传输 (SWIPT) 并发系统中，最大化信息接收者的加权和速率，同时保证能量接收者的能量需求。通过传输预编码（TPC）矩阵和被动相移矩阵的联合优化，采用经典的块坐标下降算法 (BCD) 解决的子问题，该算法可以有效地提高系统性能。