Rate-Distortion Theory for Strategic Semantic Communication

02/08/2022
by   Yong Xiao, et al.
0

This paper analyzes the fundamental limit of the strategic semantic communication problem in which a transmitter obtains a limited number of indirect observation of an intrinsic semantic information source and can then influence the receiver's decoding by sending a limited number of messages to an imperfect channel. The transmitter and the receiver can have different distortion measures and can make rational decision about their encoding and decoding strategies, respectively. The decoder can also have some side information (e.g., background knowledge and/or information obtained from previous communications) about the semantic source to assist its interpretation of the semantic information. We focus particularly on the case that the transmitter can commit to an encoding strategy and study the impact of the strategic decision making on the rate distortion of semantic communication. Three equilibrium solutions including the strong Stackelberg equilibrium, weak Stackelberg equilibrium, as well as Nash equilibrium have been studied and compared. The optimal encoding and decoding strategy profiles under various equilibrium solutions have been derived. We prove that committing to an encoding strategy cannot always bring benefit to the encoder. We therefore propose a feasible condition under which committing to an encoding strategy can always reduce the distortion performance of semantic communication.

READ FULL TEXT
research
10/23/2020

Point-to-Point Strategic Communication

We propose a strategic formulation for the joint source-channel coding p...
research
08/14/2017

Strategic Communication Between Prospect Theoretic Agents over a Gaussian Test Channel

In this paper, we model a Stackelberg game in a simple Gaussian test cha...
research
12/02/2022

A Theory of Semantic Communication

Semantic communication is an emerging topic that has received a wide ran...
research
02/13/2023

Knowledge Enhanced Semantic Communication Receiver

In recent years, with the rapid development of deep learning and natural...
research
05/14/2023

Semantic Communication of Learnable Concepts

We consider the problem of communicating a sequence of concepts, i.e., u...
research
05/10/2021

A Rate-Distortion Framework for Characterizing Semantic Information

A rate-distortion problem motivated by the consideration of semantic inf...
research
06/11/2023

Rate-Distortion Tradeoff of Bistatic Integrated Sensing and Communication

The bistatic integrated sensing and communication (ISAC) system avoids t...

Please sign up or login with your details

Forgot password? Click here to reset