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Cross-Layer Designs in Coded Wireless Fading Networks With Multicast

机译:带组播的编码无线衰落网络中的跨层设计

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A cross-layer design along with an optimal resource allocation framework is formulated for wireless fading networks, where the nodes are allowed to perform network coding. The aim is to jointly optimize end-to-end transport-layer rates, network code design variables, broadcast link flows, link capacities, average power consumption, and short-term power allocation policies. As in the routing paradigm where nodes simply forward packets, the cross-layer optimization problem with network coding is nonconvex in general. It is proved, however, that with network coding, dual decomposition for multicast is optimal so long as the fading at each wireless link is a continuous random variable. This lends itself to provably convergent subgradient algorithms, which not only admit a layered-architecture interpretation, but also optimally integrate network coding in the protocol stack. The dual algorithm is also paired with a scheme that yields near-optimal network design variables, namely multicast end-to-end rates, network code design quantities, flows over the broadcast links, link capacities, and average power consumption. Finally, an asynchronous subgradient method is developed, whereby the dual updates at the physical layer can be affordably performed with a certain delay with respect to the resource allocation tasks in upper layers. This attractive feature is motivated by the complexity of the physical-layer subproblem and is an adaptation of the subgradient method suitable for network control.
机译:为无线衰落网络制定了跨层设计以及最佳资源分配框架,其中允许节点执行网络编码。目的是共同优化端到端传输层速率,网络代码设计变量,广播链路流量,链路容量,平均功耗和短期功率分配策略。就像在路由范式中,节点简单地转发数据包一样,网络编码的跨层优化问题通常是非凸的。但是,事实证明,对于网络编码,只要每个无线链路上的衰落是一个连续的随机变量,用于组播的双重分解是最佳的。这使其可证明是收敛的次梯度算法,该算法不仅允许进行分层体系结构解释,而且还可以将网络编码最佳地集成到协议栈中。双重算法还与产生近乎最佳的网络设计变量(即多播端到端速率,网络代码设计量,广播链路上的流量,链路容量和平均功耗)的方案配对。最后,开发了异步次梯度方法,从而可以相对于上层的资源分配任务以一定的延迟负担得起地进行物理层的双重更新。该吸引人的特征是由物理层子问题的复杂性引起的,并且是适用于网络控制的子梯度方法的改编。

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