In this paper, the adoption of an intelligent reflecting surface (IRS) for multiple single-antenna source terminal (ST)-DT pairs in two-hop networks is investigated. Different from the previous studies on IRS that merely focused on tuning the reflection coefficient of all the reflection elements at IRS, in this paper, we consider the true reflection resource management. Specifically, the true reflection resource management can be realized via trigger module selection based on our proposed IRS architecture that all the reflection elements are partially controlled by multiple parallel switches of controller. As the number of reflection elements increases, the true reflection resource management will become urgently needed in this context, which is due to the non-ignorable energy consumption. Moreover, the proposed modular architecture of IRS is designed to make the reflection elements part independent and controllable. As such, our goal is to maximize the minimum signal-to-interference-plus-noise ratio (SINR) at DTs via a joint trigger module subset selection, transmit power allocation of STs, and the corresponding passive beamforming of the trigger modules, subject to per ST power budgets and module size constraint. Whereas this problem is NP-hard due to the module size constraint, to deal with it, we transform the hard module size constraint into the group sparse constraint by introducing the mixed row block norm, which yields a suitable semidefinite relaxation. Additionally, the parallel alternating direction method of multipliers (PADMM) is proposed to identify the trigger module subset, and then subsequently the transmit power allocation and passive beamforming can be obtained by solving the original minimum SINR maximization problem without the group sparse constraint via partial linearization for generalized fractional programs.

中文翻译：

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智能反射表面辅助无线网络的反射资源管理

在本文中，研究了在两跳网络中为多个单天线源终端 (ST)-DT 对采用智能反射面 (IRS)。与以往IRS的研究仅仅关注在IRS上调整所有反射元素的反射系数不同，本文考虑的是真正的反射资源管理。具体来说，真正的反射资源管理可以通过基于我们提出的 IRS 架构的触发模块选择来实现，即所有反射元件都由控制器的多个并行开关部分控制。随着反射元素数量的增加，真正的反射资源管理将在这种情况下成为迫切需要，这是由于不可忽视的能量消耗。而且，提议的 IRS 模块化架构旨在使反射元件部分独立且可控。因此，我们的目标是通过联合触发模块子集选择、ST 的发射功率分配以及触发模块的相应无源波束成形，最大化 DT 的最小信号干扰加噪声比 (SINR)，主题到每个 ST 功率预算和模块尺寸限制。由于模块大小约束，这个问题是 NP-hard 问题，为了解决这个问题，我们通过引入混合行块范数将硬模块大小约束转换为组稀疏约束，从而产生合适的半定松弛。此外，提出了乘法器的平行交替方向法（PADMM）来识别触发模块子集，