Precoding for non-coordinative multi-cell multi-antenna networks

被引：0
作者：
Wang K.-H. [1 ]
Zhang C.-Q. [2 ]
Xu J.-L. [1 ]
机构：
[1] School of Electronic Engineering, University of Electronic Science and Technology, 610054, Chengdu, Sichuan
[2] Electronic Technology Group Corporation No. 7, Research Institute, 510310, Guangzhou, Guangdong
来源：
Information Technology Journal | 2010年 / 9卷 / 02期
关键词：
Multi-cell MIMO; Optimization; Orthogonality; Precoding matrix;
D O I：
10.3923/itj.2010.337.342
中图分类号：
学科分类号：
摘要：
In multi-cell multi-antennas networks with uplink training, the channel estimate at the base station in one cell jammed by users from other cells, the performance of systems suffers tremendous losses due to the use of corrupted pilots. In addition, as the MMSE precoding matrix exists singularity problem when coordinative method is used. The goal is to investigate precoding techniques for downlink transmission to mitigate this corruption and thus increase achievable rates. A multi-cell MMSE precoding depending on the pilots assigned to the users is proposed, which docs not need coordination. This precoding is the optimal solution of an optimization problem, which consists of the mean-square error of signals and the mean-square interference. Simulation results show that this precoding method can effectively reduce intra/inter-cell interference. © 2010 Asian Network for Scientific Information.
引用
收藏
页码：337 / 342
页数：5
相关论文
共 7 条
  • [1] Dong M., Tong L., Optimal design and placement of pilot symbols for channel estimation, IEEE Trans. Signal Process, 50, pp. 3055-3069, (2002)
  • [2] Gomadam K.S., Papadopoulos H.C., Sundberg C.E.W., Techniques for multi-user MIMO with two-way training, Proceedings of IEEE International Conference on Communications, pp. 3360-3366, (2008)
  • [3] Jindal N., Goldsmith A., Dirty-paper coding versus TDMA for MIMO broadcast channels, IEEE Trans. Inform. Theory, 51, pp. 1783-1794, (2005)
  • [4] Marzetta T.L., How much training is required for multiuser MIMO?, Proceedings of 14th Asilomar Conference on Signals. Systems and Computers, pp. 359-363, (2006)
  • [5] Venkatesan S., Lozano A., Valenzuela R., Network MIMO: Overcoming interccll interference in indoor wireless systems, Proceedings of the 41th Asilomar Conference on Signals, Systems and Computers, pp. 83-87, (2007)
  • [6] Weingarten H., Steinberg Y., Shamai S., The capacity region of the gaussian multiple-input multiple-output broadcast channel, IEEE Trans. Inform. Theory, 52, pp. 3936-3964, (2006)
  • [7] Zhang X.D., Matrix Analysis and Application, (2004)
1