Rate-Splitting Multiple Access for Semantic-Aware Networks: an Age of Incorrect Information Perspective
Onur Dizdar, Stephen Wang

TL;DR
This paper proposes a rate-splitting multiple access framework for semantic-aware networks that optimizes user scheduling, precoding, and power allocation to minimize the Age of Incorrect Information, demonstrating superior performance over SDMA.
Contribution
It introduces a novel RSMA-based framework optimized for semantic-aware networks focusing on AoII, with an iterative convex approximation algorithm.
Findings
RSMA achieves lower AoII than SDMA.
The proposed algorithm effectively optimizes user scheduling and power allocation.
Numerical results confirm the superiority of RSMA in information freshness.
Abstract
In this letter, we design a downlink multi-user communication framework based on Rate-Splitting Multiple Access (RSMA) for semantic-aware networks. First, we formulate an optimization problem to obtain the optimal user scheduling, precoding, and power allocation schemes jointly. We consider the metric Age of Incorrect Information (AoII) in the objective function of the formulated problem to maximize the freshness of the overall information to be transmitted. Using big-M and Successive Convex Approximation (SCA) methods, we convert the resulting non-convex problem with conditional objective and constraints into a convex one and propose an iterative algorithm to solve it. By numerical results, we show that RSMA achieves a lower AoII than SDMA owing to its superior performance under multi-user interference.
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Taxonomy
TopicsAge of Information Optimization · IoT Networks and Protocols · Cognitive Functions and Memory
