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首页> 外文期刊>Wireless Communications, IEEE Transactions on >Cost-Delay Tradeoffs for Two-Way Relay Networks
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Cost-Delay Tradeoffs for Two-Way Relay Networks

机译:两路中继网络的成本延迟权衡

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摘要

We consider two sources in a wireless network exchanging stochastically varying traffic using an intermediate relay. Each relay use incurs some cost, which, for example, could be transmission energy. This cost is shared between the sources when packets from both are transmitted simultaneously by the relay using network coding. If the relay transmits a packet originating from one source only, the cost is incurred by that source only. In this setting, we study transmission policies that tradeoff the average cost with the average packet delay. We first present the cost-delay tradeoff for a centralized scheme using Lyapunov stability arguments. Next, we consider a distributed policy, where each source aims to optimize its own cost-delay tradeoff. We determine the Nash equilibrium of the resulting non-cooperative game and show that it performs worse than the centralized algorithm. To overcome this limitation, we introduce a pricing mechanism at the relay, which is shown to achieve the centralized performance. These algorithms, though oblivious to the arrival statistics, do require global knowledge of queue backlogs. Lastly, we consider distributed algorithms that overcome this requirement. Among those, we observe that simple queue-length threshold algorithms perform remarkably well.
机译:我们考虑无线网络中使用中间中继交换随机变化流量的两个源。每次中继使用都会产生一些成本,例如可能是传输能量。当中继使用网络编码同时传输来自两个源的数据包时,将在源之间分摊此成本。如果中继仅发送一个来源的数据包,则仅由该来源产生费用。在这种情况下,我们研究了在平均成本与平均数据包延迟之间进行权衡的传输策略。我们首先使用Lyapunov稳定性参数提出集中式方案的成本-延迟权衡。接下来,我们考虑一种分布式策略,其中每个源旨在优化其自身的成本延迟权衡。我们确定了由此产生的非合作博弈的纳什均衡,并表明它的表现比集中式算法差。为了克服此限制,我们在中继器上引入了一种定价机制,该机制可实现集中式性能。这些算法尽管忽略了到达统计信息,但确实需要队列积压的全局知识。最后,我们考虑了可以克服这一要求的分布式算法。其中,我们观察到简单的队列长度阈值算法表现出色。

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