当前位置: X-MOL 学术IEEE Wirel. Commun. Lett. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Proactive Online Power Allocation for Uplink NOMA-IoT Networks With Delayed Gradient Feedback
IEEE Wireless Communications Letters ( IF 4.6 ) Pub Date : 2020-12-29 , DOI: 10.1109/lwc.2020.3047871
Zewei Jing , Qinghai Yang , Meng Qin , Muyu Mei , Kyung Sup Kwak

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:


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。
更新日期:2020-12-29
down
wechat
bug