US 12,231,280 B2
Method, computer program, system, and communication device for optimizing the capacity of communication channels
Arash Shahmansoori, Rennes (FR); and Nicolas Gresset, Rennes (FR)
Assigned to MITSUBISHI ELECTRIC CORPORATION, Tokyo (JP)
Appl. No. 17/928,787
Filed by Mitsubishi Electric Corporation, Tokyo (JP)
PCT Filed Mar. 12, 2021, PCT No. PCT/JP2021/011559
§ 371(c)(1), (2) Date Nov. 30, 2022,
PCT Pub. No. WO2021/256039, PCT Pub. Date Dec. 23, 2021.
Claims priority of application No. 20305672 (EP), filed on Jun. 19, 2020.
Prior Publication US 2023/0261923 A1, Aug. 17, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 27/34 (2006.01); H04L 1/00 (2006.01); H04L 25/03 (2006.01)
CPC H04L 27/3405 (2013.01) [H04L 1/0001 (2013.01); H04L 25/03171 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A method for optimizing a capacity of a communication channel in a communication system comprising at least a transmitter, a receiver, and said communication channel between the transmitter and the receiver,
the transmitter using a finite set of symbols Ω={ω1, . . . , ωN} having respective positions on a constellation, to transmit a message including at least one symbol on said communication channel, wherein N is a positive integer,
the communication channel being characterized by a conditional probability distribution pY|X(y|x), where y is the symbol received at the receiver while x is the symbol transmitted by the transmitter,
wherein said conditional probability distribution pY|X(y|x) is obtained, for each possible transmitted symbol x, by a mixture model using probability distributions represented by exponential functions, and an optimized input distribution px(x) is computed, based on parameters of said mixture model, to define optimized symbols positions and probabilities to be used at the transmitter for optimizing the capacity of the channel, and
wherein said mixture model follows the conditional probability distribution pY|X(y|x) which is decomposable into a basis of probability distributions exponential functions g(y|x;θ), wherein θ is a parameter set.