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A Scheduling Framework for UWB & Cellular Networks

机译:超宽带和蜂窝网络的调度框架

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摘要

The max-min fair scheduling problem in wireless ad-hoc networks is a non-convex optimization problem. A general framework is presented for this optimization problem and analyzed to obtain a dual problem, which involves solving a series of optimization sub-problems. In the limit of infinite bandwidth (W → ∞), the scheduling solution reduces to simultaneous transmission (spread spectrum) on all links (Negi and Rajeswaran, INFOCOM '04 (March 2004)). This motivates the analysis of the scheduling problem in the Ultra Wide Band (UWB) regime (W 1, but finite), a model for certain practical radios. A quadratic (in 1/W) lower bound to the single link capacity function is developed, which simplifies the dual sub-problem to a quadratic optimization (Negi and Rajeswaran, GLOBECOM '04, (Dec. 2004)). The solution to this sub-problem is then obtained under both total power and power spectral density constraints. This solution is utilized to iteratively construct the schedule (sub-band sizes) and power allocation, thus optimally solving the UWB max-min fair scheduling problem, to within any desired precision. Simulations on medium sized networks demonstrate the excellent performance of this scheme. A cellular architecture (not necessarily UWB) may also be considered in this framework. It is proved that Frequency Division Multiple Access is the optimal scheduling for a multi-band cellular architecture.
机译:无线自组织网络中的最大-最小公平调度问题是非凸优化问题。提出了针对该优化问题的通用框架,并对其进行了分析以获得一个双重问题,该双重问题涉及解决一系列优化子问题。在无限带宽(W→∞)的限制下,调度解决方案减少为在所有链路上同时传输(扩频)(Negi和Rajeswaran,INFOCOM '04(2004年3月))。这激发了对超宽带(UWB)方案(W 1,但有限)中的调度问题的分析,这是某些实用无线电的模型。开发了单链路容量函数的二次(1 / W)下界,将双重子问题简化为二次优化(Negi和Rajeswaran,GLOBECOM '04,(2004年12月))。然后在总功率和功率谱密度约束下获得该子问题的解决方案。利用该解决方案来迭代地构造调度表(子带大小)和功率分配,从而以任何期望的精度最佳地解决UWB max-min公平调度问题。在中型网络上的仿真证明了该方案的出色性能。在该框架中也可以考虑蜂窝架构(不一定是UWB)。事实证明,频分多址是多频带蜂窝架构的最优调度。

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