A Hierarchical Green Mean-Field Power Control with eMBB-mMTC Coexistence in Ultradense 5G (Invited Paper)

Sami Nadif, Essaid Sabir, H. Elbiaze, Oussama Habachi, A. Haqiq
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Abstract

Smal1 cell densification is recognized as one of the most significant characteristics in the fifth-generation of communication systems (5G) and beyond. A substantial capacity boost can be achieved at a low cost by supplementing macro networks with numerous small cells to create ultra-dense heterogeneous networks, which can serve as the foundation for the next generation of services. In this paper, we investigate a model that accounts for the location and channel quality of an enhanced Mobile Broadband (eMBB) user as well as the locations, density, and energy levels of a large number of Internet of Things (IoT) devices. More specifically, the eMBB user is randomly distributed in the coverage area of the MBS, and given its channel gain, it adjusts its transmit power to achieve an acceptable Quality of Service (QoS). In contrast, the IoT devices are gathered around SBS and regulate their transmission power in accordance with their energy budget to minimize energy-efficient utility function. Due to the coupling, the Stackelberg-Nash differential game is initially used to model the power allocation problem, with the eMBB user playing the role of the leader and the IoT devices playing the role of the followers. Then, we use the mean-field approximation to construct a hierarchical mean-field game from which we can recover a set of equations that may be solved iteratively to provide the optimal power allocation strategies. Simulation results illustrate the optimal power allocation strategies and show the effectiveness of the proposed approach.
超密集5G中eMBB-mMTC共存的分层绿均场功率控制(特邀论文)
小蜂窝致密化被认为是第五代通信系统(5G)及以后最重要的特征之一。通过用大量小蜂窝补充宏网络来创建超密集的异构网络,可以以低成本实现大量的容量提升,这可以作为下一代服务的基础。在本文中,我们研究了一个模型,该模型考虑了增强型移动宽带(eMBB)用户的位置和信道质量,以及大量物联网(IoT)设备的位置、密度和能级。更具体地说,eMBB用户随机分布在MBS的覆盖范围内,并根据其信道增益调整其发射功率以达到可接受的服务质量(QoS)。相反,物联网设备聚集在SBS周围,根据能量预算调节其传输功率,以最大限度地减少节能效用函数。由于这种耦合,我们最初采用Stackelberg-Nash微分对策对功率分配问题进行建模,其中eMBB用户作为领导者,物联网设备作为追随者。然后,我们使用平均场近似构造了一个分层平均场博弈,从中我们可以恢复一组可以迭代求解的方程,以提供最优的功率分配策略。仿真结果验证了最优功率分配策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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