In this letter, we propose a proactive online power allocation algorithm aiming to maximize the ergodic sum rate for an uplink multi-carrier non-orthogonal multiple access enabled Internet of Things (IoT) network, in which IoT devices (IoTDs) are subject to both instantaneous and ergodic transmit power constraints. The proposed algorithm enables a natural distributed implementation where each IoTD chooses its own transmit power proactively for future time slots without requiring instant channel power gain (CPG) information but only upon a delayed feedback of the sum rate gradient from the base station and a self-maintaining virtual queue. We show that the optimal power allocation for each IoTD can be easily obtained by a low-complexity bisection method. Moreover, the proposed algorithm achieves an [ O( V), O(1/ V)]-tradeoff between the virtual queue length and the ergodic sum rate optimality, where V is a positive parameter. Simulation results show that our algorithm has a comparable convergence speed and insignificant performance loss compared to a centralized drift-plus-penalty based algorithm upon instant CPG information.

中文翻译：

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具有延迟梯度反馈的上行链路 NOMA-IoT 网络的主动在线功率分配


在这封信中，我们提出了一种主动在线功率分配算法，旨在最大化上行链路多载波非正交多址接入物联网（IoT）网络的遍历和速率，其中物联网设备（IoTD）同时受到瞬时和遍历发射功率限制。所提出的算法实现了自然的分布式实现，其中每个 IoTD 为未来的时隙主动选择自己的发射功率，而不需要即时信道功率增益（CPG）信息，而仅根据来自基站的总速率梯度的延迟反馈和自反馈维护虚拟队列。我们表明，通过低复杂度的二分法可以轻松获得每个 IoTD 的最佳功率分配。此外，所提出的算法在虚拟队列长度和遍历和速率最优性之间实现了[O(V)，O(1/V)]-权衡，其中V是正参数。仿真结果表明，与基于即时 CPG 信息的集中式漂移加惩罚算法相比，我们的算法具有相当的收敛速度和微不足道的性能损失。