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Sojourn time estimation-based small cell selection in Ultra-Dense Networks

机译:超密集网络中基于Sojourn时间估计的小小区选择

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Ultra-Dense Networks (UDNs) is a clear trend for future 5G while dense deployment of small cells (SCs) would result in unnecessary handovers (UHOs) due to a shorter sojourn time in the target SC and thus user experience is degraded. The main reason for this problem is that existing small cell selection (SCS) schemes ignore the importance of sojourn time. Therefore, in this paper, a SCS scheme based on sojourn time estimation is proposed. The Cumulative Distribution Function of the sojourn time depending on the user velocity and SC intensity is presented firstly. Furthermore, the instantaneous sojourn time is calculated by estimating the chord length of user trajectory in the coverage of candidate SC, in which user direction is obtained by applying a direction prediction scheme meanwhile the coverage of SC is determined by Poisson-Voronoi Tessellations (PVTs). In addition, the optimal sojourn time threshold is determined for the purpose of lower handover failures and those candidate SCs whose sojourn time are shorter than the predefined threshold would be skipped. Simulation results show that compared with a typical parameters setting (TTT=320ms, Offset=3dB) in LtE, the proposed scheme can reduce the Ping Pong (PP) rate and UHO rate by up to 50% and 60%, respectively. Moreover, the handover failures can be reduced by up to 30%.
机译:超密集网络(UDN)是未来5G的明显趋势,而小型蜂窝(SC)的密集部署将由于目标SC中的停留时间较短而导致不必要的切换(UHO),从而降低用户体验。出现此问题的主要原因是,现有的小小区选择(SCS)方案忽略了停留时间的重要性。因此,本文提出了一种基于停留时间估计的SCS方案。首先给出了停留时间的累积分布函数,该函数取决于用户速度和SC强度。此外,通过估算候选SC覆盖范围内用户轨迹的弦长来计算瞬时停留时间,其中通过应用方向预测方案来获得用户方向,而SC的覆盖范围则由泊松-沃罗诺伊镶嵌(PVT)确定。另外,为了降低切换失败的目的而确定最佳停留时间阈值,并且将跳过停留时间短于预定阈值的那些候选SC。仿真结果表明,与LtE中的典型参数设置(TTT = 320ms,Offset = 3dB)相比,该方案可以将乒乓(PP)速率和UHO速率分别降低50%和60%。此外,切换失败最多可减少30%。

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