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On the power efficiency of cooperative broadcast in dense wireless networks

机译:密集无线网络中协作广播的功率效率

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A fundamental problem in large scale wireless networks is the energy efficient broadcast of source messages to the whole network. The energy consumption increases as the network size grows, and the optimization of broadcast efficiency becomes more important. In this paper, we study the optimal power allocation problem for cooperative broadcast in dense large-scale networks. In the considered cooperation protocol, a single source initiates the transmission and the rest of the nodes retransmit the source message if they have decoded it reliably. Each node is allocated an-orthogonal channel and the nodes improve their receive signal-to-noise ratio (SNR), hence the energy efficiency, by maximal-ratio combining the receptions of the same packet from different transmitters. We assume that the decoding of the source message is correct as long as the receive SNR exceeds a predetermined threshold. Under the optimal cooperative broadcasting, the transmission order (i.e., the schedule) and the transmission powers of the source and the relays are designed so that every node receives the source message reliably and the total power consumption is minimized. In general, finding the best scheduling in cooperative broadcast is known to be an NP-complete problem. In this paper, we show that the optimal scheduling problem can be solved for dense networks, which we approximate as a continuum of nodes. Under the continuum model, we derive the optimal scheduling and the optimal power density. Furthermore, we propose low-complexity, distributed and power efficient broadcasting schemes and compare their power consumptions with those-of-a traditional noncooperative multihop transmission
机译:大规模无线网络中的一个基本问题是向整个网络高效地广播源消息。能耗随着网络规模的增长而增加,优化广播效率变得更加重要。在本文中,我们研究了密集大规模网络中协作广播的最佳功率分配问题。在所考虑的合作协议中,单个源启动传输,而其余节点如果已可靠地对其进行解码,则重新传输该源消息。每个节点都分配了一个正交信道,并且这些节点通过最大比例组合来自不同发射机的相同数据包的接收,提高了它们的接收信噪比(SNR),从而提高了能源效率。我们假设只要接收SNR超过预定阈值,就对源消​​息进行解码是正确的。在最佳协作广播下,设计源和中继的传输顺序(即时间表)以及传输功率,以使每个节点可靠地接收源消息,并使总功耗最小。通常,已知在协作广播中找到最佳调度是一个NP完全问题。在本文中,我们表明对于密集网络,我们可以将其近似为节点的连续体,可以解决最优调度问题。在连续模型下,我们得出了最优调度和最优功率密度。此外,我们提出了一种低复杂度,分布式和高能效的广播方案,并将其功耗与传统的非合作多跳传输相比

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