超密集网络中宏微协作的干扰最小化资源分配

doi:10.19665/j.issn1001-2400.2019.02.002

摘要/Abstract

摘要：

超密集网络能够最大化频谱利用率,但不可避免地带来严重的小区间干扰。为解决该问题,提出一种能够适应超密集网络动态负载场景宏微协作的干扰最小化资源分配算法。首先通过宏微协作交换小区子带干扰信息;然后为高功率用户分配邻区子带干扰较小的资源来降低小区间干扰。当小区业务部分加载时,算法还通过为高功率用户分配更多的带宽资源来降低它们的功率谱密度,从而进一步降低小区间干扰。仿真结果表明,新算法在业务量动态变化的超密集网络中能够有效地降低网络的干扰水平并提升网络的能效比。

关键词: 超密集网络, 宏微协作, 资源分配, 干扰, 能效

Abstract:

Ultra-dense networks (UDN) can maximize spectrum utilization, Nevertheless, the unpredictable and overwhelming inter-cell interference (ICI) constitutes a new challenge. To tackle this problem, a cross-tier cooperation resource allocation for interference minimization (CCRA-IM) is proposed, which is adapted to the dynamic payload of the UDN. First, every piece of cell sub-band interference information is exchanged by the aid of cross-tier cooperation. Then the CCRA-IM allocates the high-power users to the physical resources with the lower sub-band interference of neighboring cells, which results in a decrease in the ICI. When the cell traffic is partially loaded, the CCRA-IM tries its best to reduce the power spectral density of the high-power users by allocating them more resources, which can further mitigate the ICI. Simulation results show that the CCRA-IM can work well to mitigate the ICI of the network efficiently and improve the energy efficiency in the dynamic payload of the UDN.

Key words: ultra-dense network, cross-tier cooperation, resource allocation, interference, energy efficiency

中图分类号:

TN929.5

郑创明,刘龙伟,张海林,李勇朝. 超密集网络中宏微协作的干扰最小化资源分配[J]. 西安电子科技大学学报, 2019, 46(2): 6-11.

ZHENG Chuangming,LIU Longwei,ZHANG Hailin,LI Yongzhao. Cross-tier cooperation resource allocation for interference minimization in ultra-dense networks[J]. Journal of Xidian University, 2019, 46(2): 6-11.

图/表 5

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仿真参数	宏基站	小基站	仿真参数	宏基站	小基站
信道快衰落模型	SCME	SCME	扇区数	3	1
eNodeB天线配置	1T2R	1T2R	仿真系统带宽/m	20	20
UE分布密度/m²	1×10^-3	3×10^-3	A:B:C:D	2:1:1:1	2:1:1:1
小区半径/m	250	30	发射功率/dBm	43	20
大尺度衰落	128.1+37.6lg(d)	131+42.8lg(d)	噪声功率谱密度/(dBm·Hz^-1)	-174	-174

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