北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2009, Vol. 32 ›› Issue (5): 47-50.doi: 10.13190/jbupt.200905.47.liaox

• 论文 • 上一篇    下一篇

存在信道估计误差的MU-MIMO系统自适应资源分配

廖昕;孔露婷;姜军;张平   

  1. (1. 泛网无线通信教育部重点实验室(北京邮电大学), 北京 100876; 2. 星河亮点通信软件有限责任公司 研发部, 北京 100191)
  • 收稿日期:2008-12-28 修回日期:2009-06-13 出版日期:2009-10-28 发布日期:2009-10-28
  • 通讯作者: 廖昕

The Adaptive Resource Allocation for MU-MIMO Systems with the Presence of Channel Estimation Error

LIAO Xin1,KONG Luting1,JIANG Jun2,ZHANG Ping1   

  1. (1. Key Laboratory of Universal Wireless Communication (Beijing University of Posts and Telecommunications), Ministry of Education, Beijing 100876, China; 2. Software Research Development, Starpoint Communication Software imited Liability Company, Beijing 100191, China)
  • Received:2008-12-28 Revised:2009-06-13 Online:2009-10-28 Published:2009-10-28
  • Contact: LIAO Xin

摘要:

分析了不相关瑞利平坦衰落信道下,信道估计误差对采用迫零波束赋形(ZFBF)多用户多输入
多输出(MU-MIMO)系统性能的影响. 在发送端天线总功率受限以及目标误比特率(BER)的
约束下,提出一种以系统有效吞吐量最优为目标的自适应资源分配算法. 该算法在调度用户时兼顾用户的信道状态信息和公平性,利用误包率严格近似为高斯随机变量的性质得到传输速率和功率的闭式解. 仿真结果表明,由于考虑了信道估计误差,系统有效吞吐量大大提高;同时保证了用户的服务质量(QoS)和公平性,并具有较低的复杂度.

关键词: 迫零波束赋形, 多输入多输出, 有效吞吐量, 自适应资源分配

Abstract:

The effect of channel estimation error on the performance of multiuser multiinput multi-output (MIMO) systems with zeroforcing beamforming (ZFBF) in uncorrelated Rayleigh flat fading channels is investigated. An adaptive resource allocation algorithm with the total transmit power constrained and to satisfy the target bit error rate (BER) is proposed to maximize the system effective throughput. The active users are determined by users' channel state information and fairness. To obtain closed form solution for power and rate allocation, the algorithm uses the asymptotic Gaussian convergence characteristics of the packet outage probability. Numerical analysis shows that the system effective throughput is improved, benefited from the consideration of channel estimation error and the guarantee of users' quality of service (QoS) and fairness, while the computational complexity appears low.

Key words: zeroforcing beamforming, multiinput multioutput, effective throughput, adaptive resource allocation