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Multi-objective resource allocation for LTE/LTE-A femtocell/HeNB networks using ant colony optimization

机译:使用蚁群优化的LTE / LTE-a毫微微小区/ HeNB网络的多目标资源分配

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摘要

Existing femtocell resource allocation schemes for Long Term Evolution or LTE-Advanced femtocell networks do not jointly achieve efficient resource utilization, fairness guarantee, interference mitigation and reduced complexity in a satisfactory manner. In this paper, a multi-objective resource allocation scheme is proposed to achieve these desired features simultaneously. We first formulate three objective functions to respectively maximize resource utilization efficiency, guarantee a high degree of fairness and minimize interference. A weighted sum approach is then used to combine these objective functions to form a single multi-objective optimization problem. An ant colony optimization algorithm is employed to find the Pareto-optimal solution to this problem. Simulation results demonstrate that the proposed scheme performs jointly well in all aspects, namely resource utilization, fairness and interference mitigation. Additionally, it maintains satisfactory performance in the handover process and has a reasonably low complexity compared to the existing schemes.
机译:用于长期演进或LTE高级毫微微小区网络的现有毫微微小区资源分配方案不能以令人满意的方式共同实现有效的资源利用,公平性保证,干扰减轻和降低的复杂性。本文提出了一种多目标资源分配方案来同时实现这些期望的特征。我们首先制定三个目标函数,分别最大化资源利用效率,保证高度公平和最小化干扰。然后使用加权和的方法来组合这些目标函数,以形成单个多目标优化问题。采用蚁群优化算法来找到该问题的帕累托最优解。仿真结果表明,该方案在资源利用,公平性和干扰减轻等各个方面均具有良好的综合性能。另外,与现有方案相比,它在切换过程中保持令人满意的性能,并且具有相当低的复杂度。

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