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首页> 外文期刊>IEEE Journal on Selected Areas in Communications >Relay Deployment in Cellular Networks: Planning and Optimization
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Relay Deployment in Cellular Networks: Planning and Optimization

机译:蜂窝网络中的中继部署:规划和优化

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摘要

This paper presents closed-form capacity expressions for interfere-limited relay channels. Existing theoretical analysis has primarily focused on Gaussian relay channels, and the analysis of interference-limited relay deployment has been confined to simulation based approaches. The novel contribution of this paper is to consolidate on these approaches by proposing a theoretical analysis that includes the effects of interference and capacity saturation of realistic transmission schemes. The performance and optimization results are reinforced by matching simulation results. The benefit of this approach is that given a small set of network parameters, the researcher can use the closed-form expressions to determine the capacity of the network, as well as the deployment parameters that maximize capacity without committing to protracted system simulation studies. The deployment parameters considered in this paper include the optimal location and number of relays, and resource sharing between relay and base-stations. The paper shows that the optimal deployment parameters are pre-dominantly a function of the saturation capacity, pathloss exponent and transmit powers. Furthermore, to demonstrate the wider applicability of the theoretical framework, the analysis is extended to a multi-room indoor building. The capacity improvements demonstrated in this paper show that deployment optimization can improve capacity by up to 60% for outdoor and 38% for indoor users. The proposed closed-form expressions on interference-limited relay capacity are useful as a framework to examine how key propagation and network parameters affect relay performance and can yield insight into future research directions.
机译:本文提出了干扰受限中继信道的封闭形式容量表达式。现有的理论分析主要集中在高斯中继信道上,而对干扰受限的中继部署的分析仅限于基于仿真的方法。本文的新颖贡献在于通过提出一种理论分析来巩固这些方法,其中包括实际传输方案的干扰和容量饱和的影响。通过匹配仿真结果可以增强性能和优化结果。这种方法的好处是,给定一小组网络参数,研究人员可以使用闭式表达式来确定网络的容量,以及可以使容量最大化的部署参数,而无需进行冗长的系统仿真研究。本文考虑的部署参数包括中继的最佳位置和数量,以及中继与基站之间的资源共享。本文表明,最佳部署参数主要是饱和容量,路径损耗指数和发射功率的函数。此外,为了证明该理论框架的广泛适用性,该分析被扩展到多房间室内建筑。本文展示的容量改进表明,部署优化可以将室外用户的容量提高多达60%,将室内用户的容量提高了38%。提出的关于干扰受限中继容量的封闭形式表达式可用作检查关键传播和网络参数如何影响中继性能并可以深入了解未来研究方向的框架。

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