Mitsubishi Electric Corporation

Mitsubishi Electric R&d Centre Europe B.v.

Arash Shahmansoori

Nicolas Gresset

The invention relates to a method for optimizing a capacity of a communication channel in a communication system comprising at least a transmitter, a receiver, said communication channel between the transmitter and the receiver, and a channel conditional probability distribution estimator. The transmitter transmits messages conveyed by a signal associated with a transmission probability according to an input signal probability distribution estimated by said estimator. The transmitter takes at least the messages as inputs and outputs the signal to be transmitted on the channel. The channel takes the transmitted signal as an input and outputs a received signal which is processed at the receiver in order to decode the transmitted message. The probability distribution for each possible transmitted signal is estimated from at least output signals received at the receiver, and by using a collapsed Gibbs sampling relying on a Dirichlet process.

Method, system, and computer program for optimizing a capacity of a communication channel using a dirichlet process

The invention relates to a method for optimizing a capacity of a communication channel in a communication system comprising at least a transmitter (), a receiver (), and the communication channel () between the transmitter and the receiver. The transmitter () uses a finite set of symbols Ω={ω, . . . , ω} having respective positions on a constellation, to transmit a message including at least one symbol on said communication channel (). The communication channel () is characterized by a conditional probability distribution ρ(y|x), where y is the symbol received at the receiver () while x is the symbol transmitted by the transmitter. More particularly, the conditional probability distribution ρ(y|x) is obtained, for each possible transmitted symbol x, by a mixture model using probability distributions represented by exponential functions. An optimized input distribution p(x) is computed, based on parameters of the mixture model, to define optimized symbols positions and probabilities to be used at the transmitter for optimizing the capacity of the channel.

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Rennes, France

Arash Shahmansoori