Energy-efficient resource allocation algorithm for massive MIMO OFDMA downlink system

Ying HU; Bao-feng JI; Yong-ming HUANG; Fei YU; Lv-xi YANG

doi:10.11959/j.issn.1000-436x.2015192

您当前的位置：

首页 >

文章列表页 >

Energy-efficient resource allocation algorithm for massive MIMO OFDMA downlink system

Academic paper | 更新时间：2024-06-05

- Energy-efficient resource allocation algorithm for massive MIMO OFDMA downlink system
- Journal on Communications Vol. 36, Issue 7, Pages: 1-49(2015)
- 作者机构：
  
  1. 东南大学信息科学与工程学院，江苏南京 210096
  2. 江苏科技大学电子信息学院，江苏镇江 212003
  3. 河南科技大学信息工程学院，河南洛阳 471023
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-436x.2015192
  CLC： TP393.1
- Online First：2015-07，
  
  Published：25 July 2015
- 稿件说明：
移动端阅览
Ying HU, Bao-feng JI, Yong-ming HUANG, et al. Energy-efficient resource allocation algorithm for massive MIMO OFDMA downlink system[J]. Journal on Communications, 2015, 36(7): 1-49.
DOI：

Ying HU, Bao-feng JI, Yong-ming HUANG, et al. Energy-efficient resource allocation algorithm for massive MIMO OFDMA downlink system[J]. Journal on Communications, 2015, 36(7): 1-49. DOI： 10.11959/j.issn.1000-436x.2015192.

摘要

针对大规模多输入多输出（MIMO）正交频分多址(OFDMA)下行移动通信系统，提出了一种基于能效最优的资源分配算法。所提算法在采用迫零(ZF)预编码的情况下，以最大化系统能效的下界为准则，同时考虑每个用户的最低速率要求，通过调整带宽分配、功率分配和基站天线数分配来优化能效函数。首先根据优化条件提出了一种迭代算法确定每个用户的带宽分配，然后利用分数规划的性质并采用凸优化方法，通过联合调整基站端的发射天线数和用户的发射功率来优化能效函数。仿真结果表明，所提算法在较少迭代次数的同时能够取得较好的系统能效性能和吞吐量性能。

Abstract

An algorithm is proposed for energy-efficient resource allocation scheme in massive MIMO OFDMA downlink mobile communication system.A mathematical formulation of optimization issue is provided with the objective of maximizing system energy efficiency lower bound under the minimum data rate requirement of user

meanwhile the BS uses a zero-forcing(ZF) precoding.And then for optimizing energy efficiency function

the bandwidth allocation

power allocation and the number of antenna arrays at the BS are adjusted synchronously.First

an iterative algorithm derived from optimality condition for bandwidth assignment is proposed.Second

the properties of fractional programming and convex optimization are used to maximize the energy efficiency.Specifically

both the number of antenna arrays at the BS and the transmit data rate at the user are adjusted.Simulation results show that the proposed schemes not only have less iteration number but also have good perform for system energy efficiency and throughput.

关键词

Keywords

references

仲崇显 , 杨绿溪 . 下行多用户MIMO-OFDMA/SDMA系统动态资源分配 [J ] . 电子与信息学报 , 2008 , 30 ( 12 ): 2972 - 2975 .

ZHONG C X , YANG L X . Dynamic resource allocation for downlink multiuser MIMO-OFDMA/SDMA systems [J ] . Journal of Electronics＆Information Technology , 2008 , 30 ( 12 ): 2972 - 2975 .

HUANG Y , ZHENG G , BENGTSSON M , et al . Distributed multicell beamforming design with limited intercell coordination [J ] . IEEE Transactions on Signal Processing , 2011 , 59 ( 2 ): 728 - 738 .

HE S W , HUANG Y M , YANG L X , et al . A multi-cell beamforming design by uplink-downlink Max-Min SINR duality [J ] . IEEE Transactions on Wireless Communications , 2012 , 11 ( 8 ): 2858 - 2867 .

黄博 , 方旭明 , 陈煜 . OFDMA中继网络变时域节能资源分配策略 [J ] . 电子与信息学报 , 2014 , 35 ( 5 ): 1023 - 1030 .

HUANG B , FANG X M , CHEN X . Variable time-domain energy saving resource allocation for OFDMA relay networks [J ] . Journal of Electronics ＆ Information Technology , 2014 , 35 ( 5 ): 1023 - 1030 .

胡莹 , 黄永明 , 俞菲等 . 基于能效优化的用户调度与资源分配算法 [J ] . 电子与信息学报 , 2012 , 34 ( 8 ): 1950 - 1955 .

HU Y , HUANG Y M , YU F , et al . Energy-efficient optimization based user schedule and resource allocation algorithm [J ] . Journal of Electronics＆Information Technology , 2012 , 34 ( 8 ): 1950 - 1955 .

ZHENG Z G , DAN L L , GONG S D and Li S Q . Energy-efficient resource allocation for downlink OFDMA systems [A ] . IEEE International Conference on Communications(ICC) [C ] . Budapest,Hungary , 2013 . 391 - 395 .

SHI Q J , XU W Q , LI D P , et al . On the energy-efficient optimality of OFDMA for SISO-OFDM downlink system [J ] . IEEE Communications Letters , 2013 , 17 ( 3 ): 541 - 544 .

HO C Y , HUANG C Y . Single-and multi-user uplink energy-efficient resource allocation algorithms with users’power and minimum rate constraint in OFDMA cellular networks [J ] . Wireless Networks , 2013 , 19 : 673 - 688 .

ZARAKOVITIS C C , NI Q . Energy-efficient design for communication systems:resolutions on inverse resource allocation principles [J ] . IEEE Communications Letters , 2013 , 17 ( 12 ): 2264 - 2267 .

ZHANG G P , LIU P , DING E.J . Energy efficient resource allocation in non-cooperative multi-cell OFDMA systems [J ] . Journal of Systems Engineering and Electronics , 2011 , 22 ( 1 ): 175 - 182 .

HU Y , JI B F , HUANG Y M , et al . Energy-efficient resource allocation of very large multi-user MIMO systems [J ] . Wireless Networks , 2014 , 20 ( 6 ): 1 - 10 .

MIAO G W . Energy-efficient uplink multi-user MIMO [J ] . IEEE Transaction on Wireless Communications , 2013 , 12 ( 5 ): 2302 - 2313 .

NGO H Q , LARSSON E G , MARZETTA T L . Energy and spectral efficiency of very large multiuser MIMO systems [J ] . IEEE Transaction on Communications , 2013 , 61 ( 4 ): 1436 - 1449 .

NG D W K , LO E S , SCHOBER R . Energy-efficient resource allocation in OFDMA systems with large numbers of base station antennas [J ] . IEEE Transactions on Wireless Communications , 2012 , 11 ( 9 ): 3292 - 3304 .

NG D W K , LO E S , SCHOBER R . Energy-efficient resource allocation for secure OFDMA systems [J ] . IEEE Transaction on Vehicle Technology , 2012 , 61 ( 6 ): 2572 - 2585 .

CUI S G , GOLDSMITH A , BAHAI A . Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks [J ] . IEEE Journal on Selected Areas in Communications , 2004 , 22 ( 6 ): 1086 - 1098 .

DINKELBACH W . On nonlinear fractional programming [J ] . Management Science , 1967 , 13 ( 7 ): 492 - 498 .

KIVANC D , LI G Q , LIU H . Computationally efficient bandwidth allocation and power control for OFDMA [J ] . IEEE Transaction on Wireless Communications , 2003 , 2 ( 6 ): 1150 - 1158 .

Views

1900

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Energy-efficient optimal algorithm based on uplink multi-user very large MIMO system

Multi-indicator intention-driven adaptive optimization strategy for UAV computation offloading and trajectory planning

Resource allocation strategy for satellite Internet integrating communication and remote sensing based on resource-time-varying graphs

Task scenario-driven cross-layer intelligent adaptation approaches for wireless communication

Joint optimization of semantic communication reliability in integrated sensing, communication and computing networks based on regional perception

Related Author

UYing H

IBao-feng J

UANGYong-ming H

UFei Y

ANGLV-xi Y

Lin Peng

Huang Xinliang

Ning Zhaolong

Related Institution

Key Laboratory of Intelligent Support Technology for Complex Environments, Ministry of Education, Nanjing University of Information Science and Technology

School of Electronic and Information Engineering, Nanjing University of Information Science and Technology

School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications

School of Computer Science and Engineering, Northeastern University

College of Communication Engineering, Jilin University

AI问答

⁰