Paper Info
Title
Optimal signaling for a given constellation under average symbol energy and bit rate constraints
Abstract
Optimal signaling that minimizes the average symbol error rate for a given constellation is studied subject to constraints on average bit rate and average symbol energy. It is shown that the optimal distribution with which to select the symbols in the constellation is obtained as a fixed point of a function that depends parametrically on the symbol energies and the conditional correct decision probabilities corresponding to the maximum a posteriori decision rule. An optimization problem is specified to determine the optimal signaling distribution. Numerical results are provided to corroborate effectiveness of the proposed solution. Furthermore, it is observed that lower symbol error rate can be achieved with nonuniform signaling by increasing the constellation size while satisfying the same average bit rate and average symbol energy to those of the classical uniform signaling scheme where the symbols are chosen equally likely on an equidistant grid.
Year
DOI
Venue
2017
10.1109/ISSPIT.2017.8388626
2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)
Keywords
Field
DocType
nonuniform signaling,constellation,symbol error rate,bit rate,symbol energy
Decision rule,Equidistant,Signal processing,Pattern recognition,Computer science,Symbol,Algorithm,Constellation,Artificial intelligence,Fixed point,Maximum a posteriori estimation,Optimization problem
Conference
ISSN
ISBN
Citations 
2162-7843
978-1-5386-4663-2
0
PageRank 
References 
Authors
0.34
2
1
Name
Order
Citations
PageRank
Berkan Dulek110713.74