On the Local Delay and Energy Efficiency of Clustered HetNets

On the Local Delay and Energy Efficiency of Clustered HetNets
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DOI:
10.1109/tvt.2019.2896291
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发表时间:
2019-03-01
影响因子:
6.8
通讯作者:
O'Farrell, Timothy
O'Farrell, Timothy
中科院分区:
计算机科学2区
文献类型:
--
作者:
Dong, Xiaojie;Zheng, Fu-Chun;O'Farrell, Timothy

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由于异构网络(HetNet)中基站(BS)的密集且通常随机的部署,随机几何已经越来越多地用于分析HetNet的性能。然而,考虑到基站的地理分布,通常假设的泊松点过程(PPP)可能不够准确。相比之下,泊松集群过程(PCP)证明更现实的BS的部署。本文采用非连续传输(DTX)模式,分析了基于PCP的本地时延和能量效率。推导了本地延迟和能量效率的表达式,理论分析和仿真结果表明,由于群内干扰较强,PCP的本地延迟比PPP大,能量效率较PPP低。此外,我们发现,基于PCP的HetNets的性能接近PPP的高静音概率的情况下,低信号干扰比阈值的情况下,聚类的影响减少。此外,通过联合调整簇内的静音概率和BS密度,可以在低局部延迟的情况下进一步优化能量效率。最后,我们发现,通过设置适当的静音概率,本地延迟可以随着BS密度的增加而减小,这与PPP情况不同。
Due to the dense and generally random deployment of base stations (BSs) in heterogeneous networks (HetNets), stochastic geometry has increasingly been used to analyze the performance of HetNets. Considering the geographical distribution of BSs, however, the commonly assumed Poisson point process (PPP) may not be accurate enough. In contrast, a Poisson cluster process (PCP) proves more realistic for the deployment of BSs. In this paper, by using the discontinuous transmission (DTX) mode, the local delay and energy efficiency based on PCP have been analyzed. The expressions of local delay and energy efficiency have been derived, and it is found theoretically and via simulations that the local delay is larger and the energy efficiency is lower under PCP compared to PPP because of the strong intracluster interference. In addition, we found that the performances of PCP-based HetNets are close to those of PPP for the high mute probability case and low signal-to-interference ratio threshold case, where the impact of clustering diminishes. Moreover, the energy efficiency can be optimized further with a lowlocal delay by jointly adjusting the mute probability and BS density within a cluster. Finally, we found that the local delay could decrease with the increase of the density of BSs by setting the proper mute probability, which is different from the PPP case.