论文标题
智能反射表面辅助莫斯莫上行链路通信网络：完美和不完美的CSI的可行性和功率最小化
Intelligent Reflecting Surface Aided MISO Uplink Communication Network: Feasibility and Power Minimization for Perfect and Imperfect CSI
论文作者
论文摘要
在本文中，我们考虑了多用户多输入单位输出（MISO）上行无线网络中的服务质量（QoS）约束下的加权总和最小化，并由智能反射表面（IRS）辅助。我们对这个问题的各个方面进行了全面的调查。首先，当用户具有足够的传输功率时，我们会提出一个新的足够条件，以确保任意信息率约束。该结果加强了现有文献的可行性条件。然后，我们设计了基于乘数的乘数（NEADMM）解决方案的新型惩罚双重分解（PDD）和非线性平等约束替代方向方法，以解决IRS依赖性QOS-constraints，从而有效地解决了可行性检查和功率最小化问题。此外，我们将建议进一步扩展到渠道状态信息（CSI）不完善并开发在线随机算法的情况下，该算法满足QoS限制随机约束而无需先前了解CSI错误。提出了广泛的数值结果，以验证我们提出的算法的有效性。
In this paper, we consider the weighted sum-power minimization under quality-of-service (QoS) constraints in the multi-user multi-input-single-output (MISO) uplink wireless network assisted by intelligent reflecting surface (IRS). We perform a comprehensive investigation on various aspects of this problem. First, when users have sufficient transmit powers, we present a new sufficient condition guaranteeing arbitrary information rate constraints. This result strengthens the feasibility condition in existing literature. Then, we design novel penalty dual decomposition (PDD) based and nonlinear equality constrained alternative direction method of multipliers (neADMM) based solutions to tackle the IRS-dependent-QoS-constraints, which effectively solve the feasibility check and power minimization problems. Besides, we further extend our proposals to the cases where channel status information (CSI) is imperfect and develop an online stochastic algorithm that satisfy QoS constraints stochastically without requiring prior knowledge of CSI errors. Extensive numerical results are presented to verify the effectiveness of our proposed algorithms.
