Semantic Communication: A Survey on Research Landscape, Challenges, and Future Directions DOI Creative Commons
Tilahun M. Getu, Georges Kaddoum, Mehdi Bennis

et al.

Published: Nov. 13, 2023

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

Language: Английский

Making Sense of Meaning: A Survey on Metrics for Semantic and Goal-Oriented Communication DOI Creative Commons
Tilahun M. Getu, Georges Kaddoum, Mehdi Bennis

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 45456 - 45492

Published: Jan. 1, 2023

Semantic communication (SemCom) aims to convey the meaning behind a transmitted message by transmitting only semantically-relevant information. This semantic-centric design helps minimize power usage, bandwidth consumption, and transmission delay. SemCom goal-oriented (or effectiveness-level SemCom) are therefore promising enablers of 6G developing rapidly. Despite surge in their swift development, design, analysis, optimization, realization robust intelligent as well fraught with many fundamental challenges. One challenges is that lack unified/universal metrics can stifle research progress on respective algorithmic, theoretical, implementation frontiers. Consequently, this survey paper documents existing – scattered references wireless SemCom, optical quantum SemCom. By doing so, inspire optimization wide variety systems. article also stimulates development performance assessment purely statistical hardly applicable reasoning-type tasks constitute heart beyond.

Language: Английский

Citations

23
Performance Limits of a Deep Learning-Enabled Text Semantic Communication under Interference DOI
Tilahun M. Getu, Walid Saad, Georges Kaddoum

et al.

IEEE Transactions on Wireless Communications, Journal Year: 2024, Volume and Issue: 23(8), P. 10213 - 10228

Published: Aug. 1, 2024

Although deep learning (DL)-enabled semantic communication (SemCom) has emerged as a 6G enabler by minimizing irrelevant information transmission – power usage, bandwidth consumption, and delay, its benefits can be limited radio frequency interference (RFI) that causes substantial noise. Such noise's impact alleviated using an interference-resistant robust (IR 2 ) SemCom design, though no such design exists yet. To stimulate fundamental research on IR SemCom, the performance limits of popular text system named DeepSC are studied in presence (multi-interferer) RFI. By introducing principled probabilistic framework for we show DeepSC produces semantically sentences RFI gets very large. We also derive DeepSC's practical lower bound outage probability under multi-interferer RFI, propose (generic) lifelong DL-based system. corroborate derived with simulations computer experiments, which affirm vulnerability to wireless attack

Language: Английский

Citations

7
A Survey on Goal-Oriented Semantic Communication: Techniques, Challenges, and Future Directions DOI Creative Commons
Tilahun M. Getu, Georges Kaddoum, Mehdi Bennis

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 51223 - 51274

Published: Jan. 1, 2024

Although many proposals have been developed for the sixth-generation (6G) technology, realizing 6G is fraught with numerous fundamental interdisciplinary, multidisciplinary, and transdisciplinary challenges.To mitigate some of these challenges, goal-oriented semantic communication (SemCom) has emerged as a promising technology enabler.This enabler employs only semantically-relevant information successful task execution while minimizing power usage, bandwidth consumption, transmission delay.On other hand, essential major SemCom use cases such autonomous transportation.These paradigms call tighter integration SemCom.To facilitate this purpose, survey paper exposes challenges 6G; details notion its stateof-the-art research landscape; presents state-of-the-art trends, cases, frameworks SemCom; offers future directions SemCom.Consequently, article stimulates lines on theories, algorithms, realization.

Language: Английский

Citations

3
Deep Learning in Physical Layer: Review on Data Driven End-to-End Communication Systems and Their Enabling Semantic Applications DOI Creative Commons
Nazmul Islam, Seokjoo Shin

IEEE Open Journal of the Communications Society, Journal Year: 2024, Volume and Issue: 5, P. 4207 - 4240

Published: Jan. 1, 2024

Deep learning (DL) has revolutionized wireless communication systems by introducing datadriven end-to-end (E2E) learning, where the physical layer (PHY) is transformed into DL architectures to achieve peak optimization.Leveraging for E2E optimization in PHY significantly enhances its adaptability and performance complex environments, meeting demands of advanced network such as 5G beyond.Furthermore, this evolution data-driven also enabled semantic applications across various modalities, including text, image, audio, video, multimodal transmissions.These elevate from bit-level semantic-level intelligence, making it capable discerning context intent.Although PHY, a architecture, plays crucial role enabling (SemCom) systems, comprehensive studies that integrate both SemCom remain underexplored.This highlights novelty potential these integrative fields, marking them promising research domain.Therefore, article provides review emerging field emphasizing their modalities.It identifies key challenges directions, serving guide future advancements systems.

Language: Английский

Citations

1
Semantic Communication: A Survey on Research Landscape, Challenges, and Future Directions DOI Creative Commons
Tilahun M. Getu, Georges Kaddoum, Mehdi Bennis

et al.

Published: Nov. 13, 2023

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

Language: Английский

Citations

2
Deep Learning in Physical Layer: Review on Data Driven End-to-End Communication Systems and their Enabling Semantic Applications DOI Creative Commons
Nazmul Islam, Seokjoo Shin

arXiv (Cornell University), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Deep learning (DL) has revolutionized wireless communication systems by introducing datadriven end-to-end (E2E) learning, where the physical layer (PHY) is transformed into DL architectures to achieve peak optimization. Leveraging for E2E optimization in PHY significantly enhances its adaptability and performance complex environments, meeting demands of advanced network such as 5G beyond. Furthermore, this evolution data-driven also enabled semantic applications across various modalities, including text, image, audio, video, multimodal transmissions. These elevate from bit-level semantic-level intelligence, making it capable discerning context intent. Although PHY, a architecture, plays crucial role enabling (SemCom) systems, comprehensive studies that integrate both SemCom remain underexplored. This highlights novelty potential these integrative fields, marking them promising research domain. Therefore, article provides review emerging field emphasizing their modalities. It identifies key challenges directions, serving guide future advancements systems.

Language: Английский

Citations

0
Semantic Communication: A Survey on Research Landscape, Challenges, and Future Directions DOI Creative Commons
Tilahun M. Getu, Georges Kaddoum, Mehdi Bennis

et al.

Published: Nov. 13, 2023

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

Language: Английский

Citations

0