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Throughput improvement and its tradeoff with the queuing delay in the diamond relay networks

机译:钻石中继网络中的吞吐量改进及其在排队延迟中的权衡

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摘要

Diamond relay network model, as a basic transmission model, has recently been attracting considerable attention in wireless ad hoc networks. Node cooperation and opportunistic scheduling scheme are two important techniques to improve the performance in wireless scenarios. In the paper we consider such a problem how to efficiently combine opportunistic scheduling and cooperative modes for the Rayleigh fading scenario in the diamond relay network. To do so, we first compare the throughput of SRP (Spatial Reused Pattern) and AFP (Amplify Forwarding Pattern) in the half-duplex case with the assumption that channel side information is known to all and then come up with a new scheduling scheme. It will be verified that only switching between SRP and AFP simply does little help to obtain an expected improvement because SRP is always superior to AFP on average due to its efficient spatial reuse. To improve the throughput further, we put forward a new processing strategy in which buffers are employed at both relays in SRP mode. By efficiently utilizing the links with relatively higher gains, the throughput can be greatly improved at a cost of queuing delay. Furthermore, we shall quantitatively evaluate the queuing delay and the tradeoff between the throughput and the additional queuing delay. Finally, to realize our developed strategy and make sure it always run at stable status, we present two criteria and an algorithm on the selection and adjustment of the switching thresholds.
机译:金刚石中继网络模型作为一种基本的传输模型,最近在无线自组织网络中引起了相当大的关注。节点协作和机会调度方案是提高无线方案性能的两项重要技术。在本文中,我们考虑了这样一个问题:如何在菱形中继网络中有效地结合机会调度和协作模式用于瑞利衰落场景。为此,我们首先比较半双工情况下的SRP(空间重用模式)和AFP(放大转发模式)的吞吐量,并假设大家都知道信道边信息,然后提出一种新的调度方案。将会证明,仅在SRP和AFP之间进行切换对获得预期的改善几乎无济于事,因为SRP由于其有效的空间复用性而通常平均优于AFP。为了进一步提高吞吐量,我们提出了一种新的处理策略,其中在SRP模式下两个中继都使用了缓冲区。通过以相对较高的增益有效地利用链路,可以以排队延迟为代价极大地提高吞吐量。此外,我们将定量评估排队延迟以及吞吐量与附加排队延迟之间的权衡。最后,为了实现我们制定的策略并确保其始终在稳定状态下运行,我们提出了两个标准以及关于选择和调整开关阈值的算法。

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