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Stability and Delay of Network-Diversity Multiple Access with Backlog Retransmission Control

机译:具有积压重传控制的网络 - 多样性多次访问的稳定性和延迟

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This paper proposes two strategies for retransmission control of backlog traffic in the family of algorithms known as Network Diversity Multiple Access (NDMA). This type of algorithm has been shown to achieve (in ideal conditions) the following aspects: 1) collision-free performance for contention-based traffic, 2) low latency values, and 3) reduced feedback complexity. These features match the machine-type traffic, real-time, and dense object connectivity requirements in 5G. This makes NDMA a candidate for contention traffic support in 5G systems. However, existing analysis ignores the effects of backlog traffic generated by the imperfect detection conditions that arise in settings with finite Signal-to-Noise Ratio (SNR). This paper aims to partially fill this gap, by providing analytic expressions for the performance of symmetrical training-based NDMA protocols with two different types of backlog traffic retransmission schemes. In the first strategy, all terminals involved in an unsuccessful resolution period retransmit immediately in the subsequent resolution periods or epoch slots. This procedure is repeated continuously (persistent retransmission) by inducing the same collision event under different channel outcomes until all the contending signals are correctly detected and received. In the second retransmission strategy, the terminals in backlog state retransmit at a randomly selected time-slot with a probability that that is assumed (for simplicity) to match the transmission rate of the system. In both strategies, expressions are here obtained of the maximum stable throughput and the average delay experienced by any packet to be correctly received by the destination. This allows us to determine the capabilities of NDMA for achieving low-latency, reduced feedback complexity, as well as highly stable and real-time throughout performance. The results shown here suggest that NDMA can achieve attractive low latency and high throughput figures mainly at high SNR values and moderate traffic loads.
机译:本文提出了两种策略,用于在称为网络分集多访问(NDMA)的算法系列中的积压流量的重传控制。此类算法已被示出实现(在理想条件下)以下几个方面:1)基于竞争的流量的无碰撞性能,2)低延迟值和3)减少反馈复杂度。这些功能与5G中的机器型流量,实时和密集物体连接要求匹配。这使得NDMA成为5G系统中的争用业务支持的候选者。然而,现有分析忽略了通过有限信噪比(SNR)中出现的不完美检测条件产生的积压流量的影响。本文旨在通过为具有两种不同类型的积压流量重传方案提供基于对称培训的NDMA协议的分析表达式来部分填补此差距。在第一个策略中,所有终端都涉及不成功的解析期间在后续分辨率期间或巨头插槽中立即重新发送。通过在不同的信道结果下诱导相同的碰撞事件来连续(持续重传)重复该过程,直到正确检测和接收所有竞争信号。在第二重传策略中,反冲状态下的终端在随机选择的时隙中重新传输,其具有假设(为简单起见)以匹配系统的传输速率的概率。在这两种策略中,这里的表达可以获得最大稳定的吞吐量和目的地正确接收的任何数据包所经历的平均延迟。这使我们能够确定NDMA的能力,以实现低延迟,降低反馈复杂性,以及整个性能的高度稳定和实时。这里显示的结果表明,NDMA主要可以实现高潜伏的低延迟和高吞吐量图,主要是在高SNR值和中等的交通负荷。

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