Sum capacity of MIMO Gaussian broadcast channels with channel energy constraints

被引:0
作者
Wireless Networking and Communications Group, Dept. of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, United States [1 ]
机构
[1] Wireless Networking and Communications Group, Dept. of Electrical and Computer Engineering, The University of Texas at Austin, Austin
来源
IEEE Commun Lett | 2006年 / 6卷 / 471-473期
关键词
Capacity; Frobenius norm; MIMO;
D O I
10.1109/LCOMM.2006.1638619
中图分类号
学科分类号
摘要
The motivation of this paper is to find the class of channels that provides the best sum capacity of a MIMO Gaussian broadcast channel with both transmit power and channel energy constraints when Nt ≥ KNr, where NNt, Nr and K denote the number of transmit antennas, the number of receive antennas, and the number of users in the system, respectively. The best sum capacity is achieved when the user channels are mutually orthogonal to each other. For each individual user, equal energy is distributed to all non-zero spatial eigenmodes. Further, we optimize the number of non-zero eigenmodes for all users and the optimal power distribution among users. Although, we only study the case of Nt ≥ KNr in this paper, we conjecture that similar results still hold for Nt ≤ KNr. The characteristics of the optimal channels can be used to direct antenna configurations. © 2006 IEEE.
引用
收藏
页码:471 / 473
页数:2
相关论文
共 17 条
[1]  
Telatar I.E., Capacity of multi-antenna Gaussian channels, European Trans. Telecommun., 10, pp. 585-595, (1999)
[2]  
Goldsmith A., Jafar S.A., Jindal N., Vishwanath S., Capacity limits of MIMO channels, IEEE J. Select. Area Commun., 21, pp. 684-702, (2003)
[3]  
Jayaweera S.K., Poor H.V., Capacity of multiple-antenna systems with both receiver and transmitter channel state information, IEEE Trans. Inform. Theory, 49, pp. 2697-2709, (2003)
[4]  
Biglieri E., Caire G., Taricco G., Limiting performance of block-fading channels with multiple antennas, IEEE Trans. Inform. Theory, 47, pp. 1273-1289, (2001)
[5]  
Poon A.S.Y., Tse D.N.C., Brodersen R.W., An adaptive multiantenna transceiver for slowly flat fading channels, IEEE Trans. Commun., 51, pp. 1820-1827, (2003)
[6]  
Shen Z., Heath Jr. R.W., Andrews J.G., Evans B.L., Comparison of space-time water-filling and spatial water-filling for MIMO fading channels, Proc. IEEE Global Communications Conference, 1, pp. 431-435
[7]  
Sayeed A., Raghavan V., Kotecha J., Capacity of space-time wireless channels: A physical perspective, Proc. IEEE Information Theory Workshop, (2004)
[8]  
Chiurtu N., Rimoldi B., Varying the antenna locations to optimize the capacity of multi-antenna Gaussian channels, Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, 5, pp. 3121-3123
[9]  
Shen Z., Andrews J.G., Evans B.L., Upper bounds on MIMO channel capacity with channel Frobenius norm constraints, Proc. IEEE Int. Global Communications Conf., 3, pp. 1505-1509
[10]  
Palomar D.P., Cioffi J.M., Lagunas M.A., Uniform power allocation in MIMO channels: A game-theoretic approach, IEEE Trans. Inform. Theory, 49, pp. 1707-1727, (2003)