DRL-based Resource Management for Task-Centered Semantic Communication
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00381942" target="_blank" >RIV/68407700:21230/24:00381942 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/PIMRC59610.2024.10817269" target="_blank" >https://doi.org/10.1109/PIMRC59610.2024.10817269</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/PIMRC59610.2024.10817269" target="_blank" >10.1109/PIMRC59610.2024.10817269</a>
Alternative languages
Result language
angličtina
Original language name
DRL-based Resource Management for Task-Centered Semantic Communication
Original language description
The evolution of Artificial Intelligence (AI) integrated with the Sixth-generation (6G) framework poses significant challenges to low-latency applications. Recently, semantic communication has emerged as a promising technique for future intelligent applications. However, the resource management problem combined with semantics is not fully explored. In this paper, we present a deep reinforcement learning-based twin-delayed deep deterministic policy gradient (TD3) for task-centered semantic communication. The proposed TD3 algorithm optimizes bandwidth, and semantic information and prioritizes data with maximum signal-to-noise ratio (SNR) for the efficient transmission of useful information. Simulation results demonstrate the effectiveness of the proposed TD3 scheme compared to state-of-the-art work in terms of transmission efficiency by up to 36% for varying users and up to 33% for varying SNR.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2024 IEEE 35th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
ISBN
9798350362244
ISSN
2166-9570
e-ISSN
2166-9589
Number of pages
6
Pages from-to
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Publisher name
IEEE
Place of publication
Anchorage, Alaska
Event location
Valencia
Event date
Sep 2, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001450175000112