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Achieving spectral and energy efficiencies in multi-cell networks

机译:在多小区网络中实现频谱和能量效率

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The focus of this paper is targeted towards multicell networks, when dense frequency reutilization is used in a given operating area by evolved Nodes B (eNodeB). The ensuing Inter-Cell Interference (ICI) harms the radio transmissions and degrades the performances. Thus, a certain degree of ICI coordination (ICIC) between the eNodeBs is required to manage the resources and minimize the interference level. This paper addresses the problem of ICIC in the downlink of LTE OFDMA-based systems, where the power level selection of resource blocks (RBs) is portrayed as a sub-modular game in the context of self-organizing networks. The existence of Nash equilibriums (NEs) for that type of games shows that stable power allocations can be reached by selfish eNodeBs. To attain these NEs, we propose a decentralized algorithm based on Best Response dynamics to achieve those equilibriums. In order to evaluate our proposal, we compare the obtained results to an optimal global CoMP (Coordinated Multi-Point) solution where a central controller is the decision maker [2]. Numerical simulations assessed the good power efficiency of the proposed distributed approach in comparison with the centralized approach for CoMP.
机译:本文的重点是针对多小区网络,当演进的节点B(eNodeB)在给定的操作区域中使用密集的频率重用时。随后的小区间干扰(ICI)会损害无线电传输并降低性能。因此,在eNodeB之间需要一定程度的ICI协调(ICIC)以管理资源并使干扰水平最小化。本文解决了基于LTE OFDMA的系统的下行链路中的ICIC问题,在自组织网络的背景下,资源块(RB)的功率级别选择被描述为子模块化游戏。该类型游戏的纳什均衡(NE)的存在表明,自私的eNodeB可以实现稳定的功率分配。为了获得这些NE,我们提出了一种基于最佳响应动力学的分散算法来实现这些平衡。为了评估我们的建议,我们将获得的结果与最佳的全球CoMP(协作多点)解决方案进行比较,其中以中央控制器为决策者[2]。与CoMP的集中式方法相比,数值模拟评估了所提出的分布式方法的良好电源效率。

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