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A New Representation for the Symbol Error Rate

2012/06/14 by Adithya Rajan, Rajan, Adithya, Cihan Tepedelenlioğlu +2
Computer Science · Engineering · Mathematics · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Techniques #FOS: Computer and information sciences #Information Theory (cs.IT) #Wireless Communication Networks Research #cs.IT #math.IT

paper · pdf · doi:10.48550/arxiv.1206.3189

26 pages, 3 figures. Parts of this work have been presented in the Asilomar Conference on Signals, Systems, and Computers, 2012, and the IEEE International Symposium on Information Theory, 2012. This work was supported in part by the National Science Foundation under Grant CCF 1117041

openalex publication_date 2012/06/14 · arxiv created 2013/01/17 · arxiv updated 2013/01/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The symbol error rate of the minimum distance detector for an arbitrary multi-dimensional constellation impaired by additive white Gaussian noise is characterized as the product of a completely monotone function with a non-negative power of the signal to noise ratio. This representation is also shown to apply to cases when the impairing noise is compound Gaussian. Using this general result, it is proved that the symbol error rate is completely monotone if the rank of its constellation matrix is either one or two. Further, a necessary and sufficient condition for the complete monotonicity of the symbol error rate of a constellation of any dimension is also obtained. Applications to stochastic ordering of wireless system performance are also discussed.

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