On the Error Probability of Optimal Codes in Gaussian Channels under Maximal Power Constraint

被引：0
|
作者：
Vazquez-Vilar, Gonzalo [1 ]
机构：
[1] Univ Carlos III Madrid, Getafe, Spain
来源：
2019 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT) | 2019年
基金：
欧洲研究理事会;
关键词：
D O I：
10.1109/isit.2019.8849543
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
For an additive white Gaussian noise channel, we prove that Th. 41 in [Polyanskiy, Poor, Verdu 2010] is a lower bound to the error probability of any channel code satisfying the maximal power constraint. In contrast, the (tighter) lower bound to the error probability in Eq. (20) in [Shannon 1959] only holds under equal power constraint.
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页码：2943 / 2946
页数：4
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