Age of Semantic Information-Aware Wireless Transmission for Remote Monitoring Systems

2025-08-17

AI Summary

To address the joint optimization of semantic timeliness and importance for video frame transmission over MIMO channels in remote monitoring systems, this paper proposes a semantic-aware joint transmission mechanism. The core method introduces “Age of Semantic Information” (AoIS), a novel metric integrating information freshness and semantic distortion, and develops a low-complexity Lyapunov-based temporal decision framework that jointly optimizes semantic execution policies, transmit/receive beamforming, and semantic symbol design. Efficient solutions are obtained via alternating optimization (AO), successive convex approximation (SCA), and a low-complexity zero-forcing (ZF) algorithm combined with finite search. Experimental results demonstrate that, under identical AoIS constraints, the proposed scheme preserves over 50% more original semantic information than baseline approaches, significantly enhancing semantic transmission efficiency and spectral-resource utilization.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Sampling/Simulation-based Search
• Multiagent Systems: Mechanism Design

Application Category

• Semantics and Knowledge: Methods to enhance, augment, integrate or synergize semantic models such as knowledge graphs and LLMs
• Systems and Infrastructure for Web, Mobile and WoT: Applied ML and AI for Web-based mobile applications
• Security and Privacy: Large-scale security measurements

Abstract

Semantic communication is emerging as an effective means of facilitating intelligent and context-aware communication for next-generation communication systems. In this paper, we propose a novel metric called Age of Incorrect Semantics (AoIS) for the transmission of video frames over multiple-input multiple-output (MIMO) channels in a monitoring system. Different from the conventional age-based approaches, we jointly consider the information freshness and the semantic importance, and then formulate a time-averaged AoIS minimization problem by jointly optimizing the semantic actuation indicator, transceiver beamformer, and the semantic symbol design. We first transform the original problem into a low-complexity problem via the Lyapunov optimization. Then, we decompose the transformed problem into multiple subproblems and adopt the alternative optimization (AO) method to solve each subproblem. Specifically, we propose two efficient algorithms, i.e., the successive convex approximation (SCA) algorithm and the low-complexity zero-forcing (ZF) algorithm for optimizing transceiver beamformer. We adopt exhaustive search methods to solve the semantic actuation policy indicator optimization problem and the transmitted semantic symbol design problem. Experimental results demonstrate that our scheme can preserve more than 50% of the original information under the same AoIS compared to the constrained baselines.

Problem

• Proposes Age of Incorrect Semantics metric for video transmission
• Optimizes semantic importance and freshness in MIMO monitoring systems
• Develops algorithms to minimize AoIS via joint parameter optimization

Innovation

• Proposes Age of Incorrect Semantics (AoIS) metric
• Uses Lyapunov optimization for problem transformation
• Employs SCA and ZF algorithms for beamforming