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Optimized power control strategy in Massive MIMO for distributed IoT networks
Future Generation Computer Systems ( IF 7.5 ) Pub Date : 2022-11-29 , DOI: 10.1016/j.future.2022.11.030
Byung Moo Lee , Hong Yang

We study a power control strategy for a Massive MIMO enabled IoT system to increase total throughput and to provide better differentiated levels of service to different classes of IoT devices. We use a closed-form signal-to-interference plus noise ratio (SINR) of Massive MIMO and apply the Lagrange multiplier procedure to find the optimum power control coefficients. We investigate several scenarios which include various cell radii and radiation power levels, and verify that the proposed scheme is effective in increasing total throughput and in providing different levels of throughput to different classes of IoT devices. We also apply the power control scheme when each device’s throughput is aggregated from multiple single-antenna access terminals based on the grouping of devices, and compare the cases when the grouping is conducted before and after power control. We show that grouping before power control can provide better differentiated levels of services by allocating different power to each group, while grouping after power control always provides higher total throughput by jointly considering all IoT devices.



中文翻译:

分布式物联网网络大规模 MIMO 中的优化功率控制策略

我们研究了支持大规模 MIMO 的物联网系统的功率控制策略,以提高总吞吐量并为不同类别的物联网设备提供更好的差异化服务水平。我们使用 Massive MIMO 的封闭式信号干扰加噪声比 (SINR),并应用拉格朗日乘数程序来找到最佳功率控制系数。我们研究了包括各种小区半径和辐射功率水平的几种情况,并验证所提出的方案在提高总吞吐量和为不同类别的物联网设备提供不同水平的吞吐量方面是有效的。当基于设备分组从多个单天线接入终端聚合每个设备的吞吐量时,我们还应用功率控制方案,并比较功率控制前后进行分组时的情况。我们表明,功率控制之前的分组可以通过为每个组分配不同的功率来提供更好的差异化服务水平,而功率控制之后的分组通过联合考虑所有物联网设备始终提供更高的总吞吐量。

更新日期:2022-11-29
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