Transmit Power and Carrier Sense Control for Massive Machine-to-Machine Communication in Wireless Ultra-dense Networks

Yu Yu, Yuto Lim, Yasuo Tan
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Abstract

Besides the traditional voice and data services, 5G is expected to support new communication paradigm, i.e., Internet of Things (IoT) and Machine-to-Machine (M2M) services. Nonetheless, the system designs of transmit power control (TPC) and carrier sense threshold (CST) will be crucial when the huge number of these user equipment (UE) are densely engaged in vast number of data traffic transmissions. One practical and effective approach is to study the system design through numerical simulation. In this paper, we formalize the problem of minimizing the energy consumption and maximizing the average end-to-end throughput of massive M2M communication by optimally using a proposed consensus TPC scheme. To validate the effectiveness of our proposed scheme, we also focus the impact of the CST on the trade-off in between UE experienced data rate and network energy efficiency.
无线超密集网络中大规模机对机通信的发射功率和载波感知控制
除了传统的语音和数据服务,5G还有望支持新的通信模式,即物联网(IoT)和机器对机器(M2M)服务。然而,当大量用户设备(UE)密集地从事大量数据流量传输时,发射功率控制(TPC)和载波感知阈值(CST)的系统设计将变得至关重要。通过数值模拟研究系统设计是一种实用有效的方法。在本文中,我们通过最优地使用提出的共识TPC方案,形式化了最小化能源消耗和最大化大规模M2M通信的平均端到端吞吐量的问题。为了验证我们提出的方案的有效性,我们还关注了CST对UE经验数据速率和网络能源效率之间权衡的影响。
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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