arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 0908.1004cs.ITmath.IT
收藏

并行衰落信道下无线移动中继网络吞吐量和时延性能的一种新的缩放定律

A New Scaling Law on Throughput and Delay Performance of Wireless Mobile Relay Networks over Parallel Fading Channels

Rui Wang, Vincent K. N. Lau, Kaibin Huang

摘要:

在本文中,利用中继缓冲区,我们提出了一个机会解码等待和转发中继方案的点对点通信系统与半包围中继网络,以更好地利用时间分集和中继移动性。例如,我们分析了密集中继网络中两种情况下的渐近吞吐量-延迟权衡:(1)固定中继与\textit{microscopic fading}信道(多径信道),以及(2)移动中继与\textit{macroscopic fading}信道(路径损耗)。在第一种情况下,所提出的方案可以更好地利用\textit{multi-relay diversity},在这个意义上,与$K$固定中继和$\mathcal{O}(K)$的平均端到端分组延迟的成本,它可以实现相同的最佳渐近平均吞吐量与现有的设计(如常规解码和转发中继方案)与$K^2$固定中继。在第二种情况下,所提出的方案实现了最大的吞吐量的$Θ(\log K)$在$\mathcal{O}(K/q)$平均端到端的分组延迟的成本,其中$0<q\leq {1/2}$测量中继的移动性的速度。该系统吞吐量是现有中继移动性较低的设计所无法达到的,本文提出的中继方案可以更有效地利用中继的移动性。

英文摘要:

In this paper, utilizing the relay buffers, we propose an opportunistic decode-wait-and-forward relay scheme for a point-to-point communication system with a half-duplexing relay network to better exploit the time diversity and relay mobility. For instance, we analyze the asymptotic throughput-delay tradeoffs in a dense relay network for two scenarios: (1) fixed relays with \textit{microscopic fading} channels (multipath channels), and (2) mobile relays with \textit{macroscopic fading} channels (path loss). In the first scenario, the proposed scheme can better exploit the \textit{multi-relay diversity} in the sense that with $K$ fixed relays and a cost of $\mathcal{O}(K)$ average end-to-end packet delay, it could achieve the same optimal asymptotic average throughput as the existing designs (such as regular decode-and-forward relay schemes) with $K^2$ fixed relays. In the second scenario, the proposed scheme achieves the maximum throughput of $Θ(\log K)$ at a cost of $\mathcal{O}(K/q)$ average end-to-end packet delay, where $0<q\leq {1/2}$ measures the speed of relays' mobility. This system throughput is unattainable for the existing designs with low relay mobility, the proposed relay scheme can exploit the relays' mobility more efficiently.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑