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A Novel Cross-Layer Protocol for Random Access in Massive Machine-Type Communications

机译:大量机床型通信中随机接入的新型跨层协议

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This paper considers cross-layer random access protocol design in the massive machine-type communication (mMTC) scenario. Compared to traditional slotted ALOHA, multi-user detection (MUD) and channel estimation (CE) in the proposed protocol are implemented by compressed sensing technology in isolation, which makes it possible that multiple collided packets can be recovered in one single time slot. The adoption of successive- interference cancellation further enhances the recovery ability. The proposed protocol leads to low signaling overhead and has potential to support the massive uplink connectivity in mMTC. The main factors affecting the performance of MUD and CE are analyzed and a novel low-complexity method is proposed for MUD and CE. Analytical results are given on the data recovery, dynamics of active user equipment number, and packet transmission delay. Numerical results are also provided to investigate the effect of factors on the performance of the proposed protocol.
机译:本文考虑了大型计算机型通信(MMTC)场景中的跨层随机接入协议设计。与传统的开槽Aloha相比,所提出的协议中的多用户检测(泥浆)和信道估计(CE)通过孤立压缩的传感技术实现,这使得可以在一个时隙中恢复多个碰撞分组。采用连续干扰取消进一步提高了回收能力。所提出的协议导致低信令开销,并且有可能支持MMTC中的大量上行链路连接。分析了影响泥浆和CE性能的主要因素,提出了一种新的低复杂性方法,用于泥浆和CE。分析结果是关于数据恢复,活动用户设备号的动态和分组传输延迟。还提供了数值结果来研究因素对拟议方案性能的影响。

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