Robust beamforming for multicell downlink TDD massive MIMO system based on QoS

Jie CAO; Yong LIAO; Xuan-fan SHEN

doi:10.11959/j.issn.1000-436x.2017218

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Robust beamforming for multicell downlink TDD massive MIMO system based on QoS

Papers | 更新时间：2024-06-05

- Robust beamforming for multicell downlink TDD massive MIMO system based on QoS
- Journal on Communications Vol. 38, Issue 11, Pages: 44-53(2017)
- 作者机构：
  
  1. 东华理工大学机械与电子工程学院，江西南昌 330031
  2. 重庆大学飞行器测控与通信教育部重点实验室，重庆 400044
  3. 西安电子科技大学综合业务网理论及关键技术国家重点实验室，陕西西安 710071
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61501066);The Chongqing Frontier and Applied Basic Research Project(cstc2015jcyjA40003);The Open Fund of the State Key Laboratory of Integrated Services Networks of Xidian University(ISN16-03);The Fundamental Research Funds for the Central Universities(106112017CDJXY500001)
- DOI：10.11959/j.issn.1000-436x.2017218
  CLC： TN929.5
- Online First：2017-11，
  
  Published：25 November 2017
- 稿件说明：
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Jie CAO, Yong LIAO, Xuan-fan SHEN. Robust beamforming for multicell downlink TDD massive MIMO system based on QoS[J]. Journal on Communications, 2017, 38(11): 44-53.
DOI：

Jie CAO, Yong LIAO, Xuan-fan SHEN. Robust beamforming for multicell downlink TDD massive MIMO system based on QoS[J]. Journal on Communications, 2017, 38(11): 44-53. DOI： 10.11959/j.issn.1000-436x.2017218.

摘要

针对非理想信道状态信息（CSI，channel state information）下的多小区下行时分复用（TDD，time division multiplexing）大规模多入多出（MIMO，multiple-input multiple-output）系统，研究了基于服务质量（QoS，quality of service）的发射功率和小区间泄露功率最小的波束成形问题。首先，将目标问题近似成凸优化问题，然后，利用上下行链路对偶性，提出一种内外层迭代算法。数值分析结果表明，所提算法与其他几种典型的多小区波束成形算法相比，在算法复杂度和能量效率性能指标方面具有明显优势。

Abstract

In view of multicell downlink time division multiplexing (TDD) massive multiple-input multiple-output (MIMO) systems which had imperfect channel state information (CSI)

the beamforming problem that minimized the total transmit power and signal leakage power based on quality of service (QoS) was studied.First

the objective problem was approximated as a standard convex optimization problem.Then

by using the duality of uplink and downlink

an inner and outer layer iterative algorithm was proposed.Numerical results show that

comparing with other typical downlink multicell massive MIMO beamforming algorithms

the proposed algorithm has obvious advantages in terms of complexity and energy efficiency.

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references

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