Optimization for semantic-aware resource allocation under CPT-based utilities

Vaidanis, Symeon; Stavrou, Photios A.; Kountouris, Marios
SPAWC 2025, IEEE Workshop on Signal Processing and Artificial Intelligence for Wireless Communications, 7-10 July 2025, Surrey, United Kingdom

The problem of resource allocation in goal-oriented semantic communication with semantic-aware utilities and subjective risk perception is studied here. By linking information importance to risk aversion, we model agent behavior using Cumulative
Prospect Theory (CPT), which incorporates risk-sensitive utility functions and nonlinear transformations of distributions, reflecting subjective perceptions of gains and losses. The objective is to maximize the aggregate utility across multiple CPT-modeled agents, which leads to a nonconvex, nonsmooth optimization problem. To efficiently solve this challenging problem, we propose a new algorithmic framework that combines successive convex approximation (SCA) with the projected subgradient method and Lagrangian relaxation, Our approach enables tractable optimization while preserving solution quality, offering both theoretical rigor and practical effectiveness in semantics-aware resource allocation.

Type:
Conference
City:
Surrey
Date:
2025-07-07
Department:
Communication systems
Eurecom Ref:
8258
Copyright:
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