An Achievability Bound of Energy Per Bit for Stabilized Massive Random Access Gaussian Channel
An Achievability Bound of Energy Per Bit for Stabilized Massive Random Access Gaussian Channel
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DOI：
10.1109/lcomm.2020.3023461
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发表时间：
2020-09
期刊：
影响因子：
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通讯作者：
A. Burkov;S. Shneer;A. Turlikov
中科院分区：
文献类型：
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作者：
A. Burkov;S. Shneer;A. Turlikov
正在开发的通信标准突出了物联网框架内称为大规模机器类型通信的场景。在这种情况下，大量具有自主电源的设备将以随机多路访问模式运行。保持系统稳定，同时消耗最少的能源是至关重要的。我们描述了一个具有高斯随机接入信道的系统模型，并考虑了一个允许消息重传的算法。我们给出了系统的稳定性条件，并引入了一个优化问题来确定每比特能量的可达性界。
Developing communication standards highlight a scenario called massive Machine-Type Communication within the framework of the Internet of Things. Under this scenario, a large number of devices with autonomous power supplies will operate in a random multiple access mode. It is crucial to keep the system stable, while consuming minimal energy. We describe a model of a system with a Gaussian Random Access Channel and consider an algorithm allowing message retransmissions. We provide a stability condition for the system and introduce an optimization problem to determine an achievability bound for energy per bit.