论文标题
用于智能反射表面辅助合作通信的资源分配
Resource Allocation for Intelligent Reflecting Surface Aided Cooperative Communications
论文作者
论文摘要
本文研究了一个智能反射表面（IRS）协助的合作通信网络，在该网络中，IRS利用了大型反射元素，以主动将入射射频波转向目的地终端（DTS）。随着反射元素的数量的增加，在这种情况下，反射资源分配（RRA）将迫切需要，这是由于不可忽视的能源消耗所致。因此，本文的目的是实现除主动式波束形成设计外的RRA，RRA基于引入的模块化IRS架构。模块化IRS由多个模块组成，每个模块都有多个反射元素，并配备了智能控制器，所有控制器都可以通过光纤链接以点对点方式相互通信。因此，提出了一个优化问题，以最大化DTS处的最小SINR，但要受模块大小约束以及各个源端子（ST）传输功率和反射系数约束。尽管由于模块大小约束，因此这个问题是NP-HARD，但我们通过引入混合行块$ \ ell_ {1，f} $ - 将其转换为合适的半足限松弛，开发了一个近似解决方案。最后，数值结果证明了引入的模块化IRS体系结构的有意义。
This paper investigates an intelligent reflecting surface (IRS) aided cooperative communication network, where the IRS exploits large reflecting elements to proactively steer the incident radio-frequency wave towards destination terminals (DTs). As the number of reflecting elements increases, the reflection resource allocation (RRA) will become urgently needed in this context, which is due to the non-ignorable energy consumption. The goal of this paper, therefore, is to realize the RRA besides the active-passive beamforming design, where RRA is based on the introduced modular IRS architecture. The modular IRS consists with multiple modules, each of which has multiple reflecting elements and is equipped with a smart controller, all the controllers can communicate with each other in a point-to-point fashion via fiber links. Consequently, an optimization problem is formulated to maximize the minimum SINR at DTs, subject to the module size constraint and both individual source terminal (ST) transmit power and the reflecting coefficients constraints. Whereas this problem is NP-hard due to the module size constraint, we develop an approximate solution by introducing the mixed row block $\ell_{1,F}$-norm to transform it into a suitable semidefinite relaxation. Finally, numerical results demonstrate the meaningfulness of the introduced modular IRS architecture.
