Optimal Power Control in Decentralized Gaussian Multiple Access Channels

被引：1

作者：

Singh, Kamal ^{[1
]}

机构：

[1] Indian Inst Technol, Elect Engn Dept, Bombay 400076, Maharashtra, India

来源：

IEEE COMMUNICATIONS LETTERS | 2018年 / 22卷 / 09期

关键词：

Multiple access channels (MAC); ergodic capacity; power control; distributed channel state information (CSI);

D O I：

10.1109/LCOMM.2018.2856240

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

We consider the decentralized power optimization problem for Gaussian fast-fading multiple access channel (MAC) so that the average sum throughput is maximized. In our MAC setup, each transmitter has access to only its own fading coefficient or channel state information (CSI), while the receiver has full CSI available at all instants. Unlike centralized MAC (full CSIT MAC) where the optimal powers are known explicitly, the analytical solution for optimal decentralized powers does not seem feasible. In this letter, we specialize the alternating-maximization (AM) method for numerically computing the optimal powers and ergodic capacity of the decentralized MAC for general fading statistics and average power constraints. For illustration, we apply our AM method to compute the capacity of MAC channels with fading distributions such as Rayleigh and Rician.

引用

页码：1938 / 1941

页数：4

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