Accurate system modeling is a crucial requirement while realizing efficient and reliable communication over Internet of Things (IoT) infrastructure. The assumption of ideal hardware causes huge deviation in the performance of systems as estimated from such theoretical models and their practical implementations. In this paper, we study this fact over $N$ pairs of source and destination IoT devices/nodes having non-interfering channels with a half-duplex decode-and-forward relay node. The relay assists the communication between $N$ source–destination pairs. Specifically, we first derive the outage probability expression for the considered system with transceiver hardware impairments under independent but not identically distributed Rayleigh fading channels. Then, taking the transceiver hardware impairments and power and outage constraints into account, we formulate and investigate an optimal power allocation strategy in order to minimize the source-sum-power consumption using Karush–Kuhn–Tucker (KKT) conditions. With the aid of numerical investigations, the optimality of the proposed strategy is illustrated. It is observed that the power consumption depends on the number of sources and increases with the increased number of sources. In addition, the transceiver hardware impairments have detrimental impacts on the source-sum-power consumption of the considered system. Our results also reveal that the proposed scheme outperforms the uniform power allocation scheme for various involved parameters.

准确的系统建模是实现物联网（IoT）基础架构上高效可靠的通信的关键要求。根据这种理论模型及其实际实现估计，理想硬件的假设会导致系统性能出现巨大偏差。在本文中，我们将研究这一事实$ñ$对具有无干扰通道且带有半双工解码转发中继节点的源和目标IoT设备/节点对。继电器协助之间的通讯$ñ$源－目的地对。具体来说，我们首先导出在独立但分布不相同的瑞利衰落信道下具有收发器硬件损伤的被考虑系统的中断概率表达式。然后，考虑到收发器的硬件损伤以及功率和中断约束，我们制定并研究了一种最佳功率分配策略，以便在使用Karush–Kuhn–Tucker（KKT）条件的情况下最大程度地减少源和功耗。借助于数值研究，说明了所提出策略的最优性。可以看出，功耗取决于电源数量，并且随着电源数量的增加而增加。另外，收发器的硬件损害对所考虑系统的源和功耗有不利影响。