Optimizing Fairness and Spectral Efficiency With Shapley-Based User Prioritization in Semantic Communication

Optimizing Fairness and Spectral Efficiency With Shapley-Based User Prioritization in Semantic Communication

Efficient and fair resource allocation is a critical challenge in modern semantic communication systems, particularly in scenarios where numerous users compete for limited resources. Traditional methods, such as the Hungarian algorithm and greedy allocation, primarily focus on maximizing spectral ef...

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Bibliographic Details
Main Authors: Moirangthem Tiken Singh, Adnan Arif, Rabinder Kumar Prasad, Bikramjit Choudhury, Chandan Kalita, Sikdar Md. S. Askari
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Semantic communication systems
resource allocation
Shapley value
semantic spectral efficiency
channel assignment
Online Access:https://ieeexplore.ieee.org/document/10949192/
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