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A centralized algorithm for dynamic TDD frame reconfigurations in synchronized HetNets

机译:同步HetNets中动态TDD帧重配置的集中式算法

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Traffic demands of mobile radio network have been tremendously increasing in the recent years due to the enormous success of smartphones and their continuous feature evolution requiring higher data rates. Heterogeneous networks (HetNets) consisting of low-power small cells underlying the existing macro cells represent the preferred solution to increase the capacity of cellular systems by means of spatial spectrum reuse. Static uplink/downlink time-division duplexing (TDD) configurations of existing networks cannot satisfy the varying traffic patterns of large number of small cells, which vary among cells and over time. In this paper we propose and evaluate a centralized algorithm for dynamic TDD frame configuration to which operates on a cluster-based cellular network, maximize the network throughput and preserving fairness. Our algorithm is characterized by only O(n log n) time complexity (with n cells in the network), which allows for instantaneous network-wise reconfigurations minimizing overhead. The algorithm is proven to be optimal and time efficient. Extensive simulation results using realistic application traffic have shown the superiority the proposed solution against static TDD configurations of LTE systems. Throughput improvements up to 43% as well as reductions in queued traffic at cells up to 52% are obtained using separate utility functions designed for throughput maximization and fairness respectively.
机译:近年来,由于智能手机的巨大成功及其不断发展的功能要求更高的数据速率,移动无线网络的流量需求已大大增加。由现有宏小区下面的低功率小小区组成的异构网络(HetNets)代表了通过空间频谱复用来提高蜂窝系统容量的首选解决方案。现有网络的静态上行链路/下行链路时分双工(TDD)配置无法满足大量小型小区的变化业务模式,这些模式在各个小区之间并随时间而变化。在本文中,我们提出并评估了一种用于动态TDD帧配置的集中式算法,该算法可在基于集群的蜂窝网络上运行,最大化网络吞吐量并保持公平性。我们的算法的特点是只有O(n log n)个时间复杂度(网络中有n个信元),这允许瞬时网络方式的重新配置以最大程度地减少开销。该算法被证明是最优的和省时的。使用实际应用流量的大量仿真结果表明,该解决方案相对于LTE系统的静态TDD配置具有优越性。使用分别为吞吐量最大化和公平性设计的独立实用程序功能,可以将吞吐量提高高达43%,并将单元中的排队流量减少高达52%。

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