[1]范利,金石.低复杂度大规模MIMO系统上行功率分配算法[J].东南大学学报(自然科学版),2016,46(1):7-12.[doi:10.3969/j.issn.1001-0505.2016.01.002]
　Fan Li,Jin Shi.Low complexity power allocation algorithms for uplink of massive MIMO systems[J].Journal of Southeast University (Natural Science Edition),2016,46(1):7-12.[doi:10.3969/j.issn.1001-0505.2016.01.002]
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低复杂度大规模MIMO系统上行功率分配算法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
46
期数:
2016年第1期
页码:
7-12
栏目:
信息与通信工程
出版日期:
2016-01-20

文章信息/Info

Title:
Low complexity power allocation algorithms for uplink of massive MIMO systems
作者:
范利; 金石
东南大学国家移动通信重点实验室, 南京 210096
Author(s):
Fan Li;  Jin Shi
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
关键词:
大规模多输入多输出;  多小区;  莱斯衰落;  最大比合并;  功率分配
Keywords:
massive multiple-input multiple-output;  multi-cell;  Ricean fading;  maximal-ratio combing;  power allocation
分类号:
TN929.5
DOI:
10.3969/j.issn.1001-0505.2016.01.002
摘要:
为了降低莱斯信道衰落下多小区大规模多输入多输出系统上行链路功率分配算法的复杂度,提出了基于小区近似和速率的低复杂度功率分配算法.首先,给出基站采用最大比合并接收时的小区和速率近似表达式及其上下界;然后,在小区发射总功率受限及保证用户服务质量需求的条件下,提出分别基于上、下界的2种功率分配算法.这2种算法仅利用大尺度衰落等长时信道信息,减少了信道估计开销及运行功率分配算法的次数,从而降低了系统实现复杂度.仿真结果表明,与等功率分配算法相比,所提算法在低信噪比下能够显著提升系统和速率;然而,信噪比越大,性能增益越小.因此,这种新的功率分配算法可以有效应用于低信噪比情况.
Abstract:
In order to reduce the complexity of the power allocation algorithm for the multi-cell massive multiple-input multiple-output(MIMO)systems in Ricean fading channels, low complexity power allocation algorithms based on the uplink sum rate are proposed. First, in the case of using the maximal-ratio combing(MRC)receiver, an approximate expression of the uplink sum rate and its lower and upper bounds are presented. Then, two power allocation algorithms based on lower and upper bounds respectively are put forward, which satisfies that the total power transmitted by all users is limit and the quality of service of every user is met. These two algorithms only utilizing the long term channel state information such as large-scale fading can reduce the channel estimation overhead and times to perform the power allocation schemes, inducing the reduce of the complexity of system implementation. The simulation results show that, compared with the equal power allocation algorithms, the proposed power allocation algorithms can improve the sum rate significantly with the low signal to noise ratio. However, the higher the signal to noise ratio, the smaller the performance gain. Therefore, the proposed power allocation algorithms can be effectively utilized in the situations with low signal to noise ratio.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2015-07-19.
作者简介: 范利(1992—),女,硕士生;金石(联系人),男,博士,教授,博士生导师,jinshi@seu.edu.cn.
基金项目: 国家自然科学基金资助项目(61222102)、国家国际科技合作专项资助项目(2014DFT10300).
引用本文: 范利,金石.低复杂度大规模MIMO系统上行功率分配算法[J].东南大学学报(自然科学版),2016,46(1):7-12. DOI:10.3969/j.issn.1001-0505.2016.01.002.
更新日期/Last Update: 2016-01-20