Semantics-Empowered Communications: A Tutorial-Cum-Survey

Lu, Zhilin; Li, Rongpeng; Lu, Kun; Chen, Xianfu; Hossain, Ekram; Zhao, Zhifeng; Zhang, Honggang

doi:10.1109/comst.2023.3333342

Cited by 19 publications

(17 citation statements)

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“…Regarding KB being useful to correctly infer the transmitted message -even when the receiver is unable to directly decode a semantic message -given a set of logical relationships [81], the authors of [97] introduce the notion of knowledge entropy. The knowledge entropy of a KB is defined as the uncertainty of the answers it computes [81]. Thus, knowledge entropy equates to the average semantic entropy of query (message) x calculable from the KB K [97, eq.…”

Section: Definitions Of Semantic Entropymentioning

confidence: 99%

“…where m(x) is the logical probability pertaining to the probability of being true in a given world model [81].…”

Section: Definitions Of Semantic Entropymentioning

confidence: 99%

“…The authors of [227] discuss recent developments in state-of-the-art SemCom that exploit the conventional modules in wireless systems. The authors of [81] disseminate a tutorial-cum-survey that aims to provide a comprehensive understanding of state-of-the-art developments in SemCom -generally, semantics-empowered communication -and its applications.…”

Section: Semantic Decision and Deductionmentioning

confidence: 99%

“…The authors of [241] were inspired by rapid developments in SemCom [50], [80], [81], [83]; ML [291]- [293]; quantum ML (QML) [51], [294], [295]; quantum computing [296]- [298]; quantum communication [288], [299], [300]; and quantum networking [289], [301], [302] and introduce a quantum semantic communications framework for developing reasoningbased future communication systems with quantum semantic representations that exhibit minimalism, efficiency, and accuracy. This framework employs quantum embedding and highdimensional Hilbert spaces to extract the meaning of classical data [241].…”

Section: F Algorithmic Developments In Quantum Semcommentioning

confidence: 99%

“…Nevertheless, it is not clear whether this path could lead to a unified SemCom theory. On the other hand, in sharp contrast with conventional communication systems that often deploy a fixed set of transmitted symbols, SemCom hinges on information semantics whose flexibility and complexity cause the semantic symbol set to change dynamically while possibly exhibiting polysemy [81]. As a result, how to process and model dynamic semantic symbol sets is a fundamental challenge [81] that stands in the way of a unified SemCom theory.…”

Section: A Challenges In the Development Of Fundamental Semcom Theoriesmentioning

confidence: 99%

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Semantic Communication: A Survey on Research Landscape, Challenges, and Future Directions

Getu,

Kaddoum,

Bennis

2023

Preprint

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<p> Amid the global rollout of fifth-generation (5G) services, researchers in academia, industry, and national labo?ratories have been developing proposals for the sixth generation (6G). Despite the many 6G proposals, the materialization of 6G as presently envisaged is fraught with many fundamental interdisciplinary, multidisciplinary, and transdisciplinary (IMT) challenges. To alleviate some of these challenges, semantic com?munication (SemCom) has emerged as promising 6G technology enabler. SemCom is designed to transmit only semantically?relevant information and hence help to minimize power usage, bandwidth consumption, and transmission delay. Thus, SemCom embodies a paradigm shift that can change the status quo that wireless connectivity is an opaque data pipe carrying messages whose context-dependent meaning have been ignored. On the other hand, 6G is critical for the materialization of major SemCom use cases. These paradigms of 6G for SemCom and SemCom for 6G call for a tighter integration and marriage of 6G and SemCom. To facilitate this integration and marriage, this comprehensive survey paper first provides the fundamentals of semantics and semantic information, semantic representation, semantic information, and semantic entropy. It then builds on this understanding and details the state-of-the-art research landscape of SemCom; exposes the fundamental and major challenges of SemCom; and offers promising future research directions for SemCom theories, algorithms, and realization. Accordingly, this survey article stimulates major streams of research on SemCom theories, algorithms, and implementation. </p>

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Section: Definitions Of Semantic Entropymentioning

confidence: 99%

“…where m(x) is the logical probability pertaining to the probability of being true in a given world model [81].…”

Section: Definitions Of Semantic Entropymentioning

confidence: 99%

Section: Semantic Decision and Deductionmentioning

confidence: 99%

Section: F Algorithmic Developments In Quantum Semcommentioning

confidence: 99%

Section: A Challenges In the Development Of Fundamental Semcom Theoriesmentioning

confidence: 99%

See 3 more Smart Citations

Semantic Communication: A Survey on Research Landscape, Challenges, and Future Directions

Getu,

Kaddoum,

Bennis

2023

Preprint

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Interplay of Semantic Communication and Knowledge Learning

Ni,

Wang,

et al. 2024

Wireless Semantic Communications

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From 5G-Advanced to 6G in 2030: New Services, 3GPP Advances, and Enabling Technologies

Giuliano

2024

IEEE Access

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The telecommunications systems are in continuous evolution. After voice, video, mobile internet, and Internet of Things, what services will be supported in the near future? In the paper, three envisioned services are highlighted, which will be provided in the coming years by new telecommunication systems: immersive communications, everything connected, and high-positioning. The author provides a comprehensive description of their characteristics and investigates the developments that will be implemented in 3GPP Releases 17, Release 18, and Release 19, including technologies that could be integrated for supporting the three new services. In order to evaluate the performance of the new technologies and services, it is important to define appropriate Key Performance Indicators (KPIs). The paper reports and proposes new KPIs for network evaluation to support specific new services such as virtual/mixed reality, smart sensors, and gesture recognition, then facilitating the effective design of the next-generation network and its performance assessment optimally. Requirements of the major application fields that will see widespread adoption in the next 3-8 years due to these developments are also investigated. Finally, the paper further outlines the most promising enabling technologies, supporting the three bearer services.

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Semantics-Empowered Communications: A Tutorial-Cum-Survey

Cited by 19 publications

References 198 publications

Semantic Communication: A Survey on Research Landscape, Challenges, and Future Directions

Semantic Communication: A Survey on Research Landscape, Challenges, and Future Directions

Interplay of Semantic Communication and Knowledge Learning

From 5G-Advanced to 6G in 2030: New Services, 3GPP Advances, and Enabling Technologies

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