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Fair Resource Allocation With Interference Mitigation and Resource Reuse for LTE/LTE-A Femtocell Networks

机译:LTE / LTE-A Femtocell网络的公平资源分配与干扰缓解和资源重用

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摘要

Joint consideration of interference, resource utilization, fairness, and complexity issues is generally lacking in existing resource allocation schemes for Long-Term Evolution (LTE)/LTE-Advanced femtocell networks. To tackle this, we employ a hybrid spectrum allocation approach whereby the spectrum is split between the macrocell and its nearby interfering femtocells based on their resource demands, whereas the distant femtocells share the entire spectrum. A multiobjective problem is formulated for resource allocation between femtocells and is decomposed using a lexicographic optimization approach into two subproblems. A greedy algorithm of reasonably low complexity is proposed to solve these subproblems sequentially. Simulation results show that the proposed scheme achieves substantial throughput and packet loss improvements in low-density femtocell deployment scenarios while performing satisfactorily in high-density femtocell deployment scenarios with substantial complexity and overhead reduction. The proposed scheme also performs nearly as well as the optimal solution obtained by exhaustive search.
机译:在长期演进(LTE)/ LTE高级毫微微小区网络的现有资源分配方案中,通常缺乏对干扰,资源利用,公平性和复杂性问题的共同考虑。为了解决这个问题,我们采用了一种混合频谱分配方法,该方法是根据宏小区及其附近的干扰毫微微小区的资源需求在宏小区及其附近的干扰毫微微小区之间划分频谱,而遥远的毫微微小区共享整个频谱。提出了一个多目标问题,用于毫微微小区之间的资源分配,并使用词典优化方法将其分解为两个子问题。提出了一种具有较低复杂度的贪婪算法来依次解决这些子问题。仿真结果表明,该方案在低密度毫微微小区部署场景中实现了显着的吞吐量和丢包率的改善,同时在高密度毫微微小区部署场景中具有令人满意的性能,并且具有显着的复杂性和开销的减少。所提出的方案还具有与穷举搜索获得的最佳解决方案几乎一样的性能。

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