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Resource allocation with CoMP transmission in ultra dense cloud-based LTE small cell networks

机译:基于CoMP传输的基于超密集云的LTE小型小区网络中的资源分配

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摘要

Coordinated multipoint (CoMP) transmission has been considered an important technology to manage the serious inter-cell interference in ultra-dense small cell networks (UDN). In this paper, a scheduling framework and a two-tier spectrum resource allocation method for CoMP transmissions in UDNs are proposed. For a number of clusters, the tier-one allocation divides the resource blocks (RBs) into two sets: one is for center users and the other is for edge users. Tier-two resource allocation is performed at a central scheduler to allocate spectrum resources to edge users on a cluster basis. Applying the two-tier scheduling method to a simulated UDN on OpenStack and OpenAirInterface (OAI) software platforms, the UE throughput performances are presented and discussed. We further analyze the computational complexity of each step for performing 1-slot CoMP transmission. The numerical simulation results showed that, upon deploying the small cells in a Poisson Point Process (PPP) with mean density 0.0003/km2, and the ratio of eNBs to UEs is (3:1), more than 50% UEs have 15Mbps throughput performance.
机译:协作多点(CoMP)传输已被认为是管理超密集小蜂窝网络(UDN)中严重的小区间干扰的一项重要技术。本文提出了一种用于UDN中CoMP传输的调度框架和两层频谱资源分配方法。对于许多群集,第一层分配将资源块(RB)分为两组:一组用于中心用户,另一组用于边缘用户。在中央调度程序中执行第二层资源分配,以基于群集将频谱资源分配给边缘用户。将两层调度方法应用于OpenStack和OpenAirInterface(OAI)软件平台上的模拟UDN,介绍并讨论了UE吞吐性能。我们进一步分析了执行1时隙CoMP传输的每个步骤的计算复杂性。数值模拟结果表明,在以平均密度为0.0003 / km 2 的泊松点过程(PPP)部署小型小区后,eNB与UE的比率为(3:1),超过50%的UE具有15Mbps的吞吐性能。

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