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Modeling uplink coverage and rate with aggregation in machine-to-machine communication networks

机译:在机器对机器通信网络中通过聚合为上行链路覆盖范围和速率建模

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Machine-to-machine (M2M) communication's severe power limitations challenge the interconnectivity, access management, and reliable communication of data. In densely deployed M2M networks, coordinating and aggregating the generated data is critical. We propose an energy efficient data aggregation scheme for a hierarchical M2M network with truncated power control. We optimize the number of hierarchical stages and perform a coverage probability-based uplink analysis for M2M devices. Our analysis exposes the key tradeoffs between the coverage characteristics for successive and parallel transmission schemes that can be either half-duplex or full-duplex. Comparing the rate performances of the transmission models, we observe that successive and half-duplex parallel modes have better coverage characteristics compared to full-duplex parallel scheme.
机译:机器对机器(M2M)通信的严格功率限制对互连性,访问管理和可靠的数据通信提出了挑战。在密集部署的M2M网络中,协调和聚合生成的数据至关重要。我们为具有截断功率控制的分层M2M网络提出了一种高效节能的数据聚合方案。我们优化分级阶段的数量,并对M2M设备执行基于覆盖概率的上行链路分析。我们的分析揭示了连续和半双工或全双工传输方案的覆盖特性之间的关键权衡。比较传输模型的速率性能,我们观察到连续和半双工并行模式相比全双工并行方案具有更好的覆盖特性。

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