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Analytical Network-Wide Optimization of CoMP-Aided MIMO-OFDMA Irregular Networks With Frequency Reuse: A Multiobjective Approach

机译:具有频率复用的CoMP辅助MIMO-OFDMA不规则网络在网络范围内的分析优化:一种多目标方法

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摘要

Coordinated multipoint transmission (CoMP) and soft frequency reuse (SFR) techniques are two common mechanisms that are often combined with the aim of reducing the deleterious effects caused by inter-cell interference in current and envisaged cellular networks (4G/5G). The performance of this combined mechanism has been shown to be strongly influenced by the specific choice of the parameters determining the frequency reuse settings. So far, their optimization has relied on time-consuming simulations that make the CoMP-SFR optimization a challenging issue. In an attempt to revert this situation, this paper introduces a novel analytical framework that, for a specific set of SFR parameters, allows the computation of closed-form approximations to relevant performance metrics such as average total capacity, worst-users rate, and backhaul requirements. Remarkably, these approximations exhibit a dependence on the SFR parameters that match that of the true metrics, hence allowing the optimization of the SFR-related parameters based on the proposed analytical expressions. Furthermore, and very important from a practical perspective, the availability of these closed-form expressions allows the efficient application of multi-objective optimization techniques to realistic scenarios with irregularly deployed base stations that serve to evaluate the various tradeoffs the designer is facing when optimizing multiple, and often conflictive, performance metrics.
机译:协作多点传输(CoMP)和软频率复用(SFR)技术是两种常见的机制,通常将其结合起来,以减少当前和设想的蜂窝网络(4G / 5G)中的小区间干扰引起的有害影响。事实表明,这种组合机制的性能受到确定频率重用设置的参数的特定选择的强烈影响。到目前为止,他们的优化依赖于费时的仿真,这使CoMP-SFR优化成为一个具有挑战性的问题。为了解决这种情况,本文介绍了一种新颖的分析框架,对于一组特定的SFR参数,该框架允许对相关性能指标(例如平均总容量,最坏用户率和回程)进行闭式近似计算要求。值得注意的是,这些近似值显示出对与真实度量相匹配的SFR参数的依赖性,因此可以根据建议的分析表达式来优化与SFR相关的参数。此外,从实践的角度来看非常重要,这些闭合格式表达式的可用性允许将多目标优化技术有效地应用于不规则部署的基站的现实情况,这些情况可用来评估设计人员在优化多个时所面临的各种折衷。 ,并且通常是相互冲突的性能指标。

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