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Semantic Communication: A Survey on Research Landscape, Challenges, and Future Directions
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Abstract
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.
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Cites
Items 201–354 of 354
Philosophical Conceptions of Information
Floridi, L. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-00659-3_2 · Cited by 125
Deep Learning-Constructed Joint Transmission-Recognition for Internet of Things
Lee, C., Lin, J.-W., Chen, P.-H., & Chang, Y.-C. (2019) · IEEE Access · doi:10.1109/access.2019.2920929 · Cited by 123
Semantic-Effectiveness Filtering and Control for Post-5G Wireless Connectivity
Popovski, P., Simeone, O., Boccardi, F., Gündüz, D., & Sahin, O. (2020) · Journal of the Indian Institute of Science · doi:10.1007/s41745-020-00165-6 · Cited by 122
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Garg, S., Sünderhauf, N., Dayoub, F., Morrison, D., Cosgun, A., Carneiro, G., Wu, Q., Chin, T.-J., Reid, I. D., Gould, S. J., et al. (2020) · Foundations and Trends in Robotics · doi:10.1561/2300000059 · Cited by 122
The D-OMA Method for Massive Multiple Access in 6G: Performance, Security, and Challenges
Al-Eryani, Y., & Hossain, E. (2019) · IEEE Vehicular Technology Magazine · doi:10.1109/mvt.2019.2919279 · Cited by 116
Semantic Communications for Speech Signals
Weng, Z., Qin, Z., & Li, G. Y. (2021) · International Conference on Communications · doi:10.1109/icc42927.2021.9500590 · Cited by 115
Communication Beyond Transmitting Bits: Semantics-Guided Source and Channel Coding
Dai, J., Zhang, P., Niu, K., Wang, S., Si, Z., & Qin, X. (2022) · IEEE Wireless Communications · doi:10.1109/mwc.017.2100705 · Cited by 115
Robust Semantic Communications Against Semantic Noise
Hu, Q., Zhang, G., Qin, Z., Cai, Y., Yu, G., & Li, G. Y. (2022) · IEEE Vehicular Technology Conference · doi:10.1109/vtc2022-fall57202.2022.10012843 · Cited by 115
Optimization of Image Transmission in Cooperative Semantic Communication Networks
Zhang, W., Wang, Y., Chen, M., Luo, T., & Niyato, D. T. (2023) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2023.3282906 · Cited by 115
QoE-Aware Resource Allocation for Semantic Communication Networks
Yan, L., Qin, Z., Zhang, R., Li, Y., & Li, G. Y. (2022) · Globecom · doi:10.1109/globecom48099.2022.10001594 · Cited by 114
Engineering Semantic Communication: A Survey
Wheeler, D., & Natarajan, B. (2023) · IEEE Access · doi:10.1109/access.2023.3243065 · Cited by 108
Cognitive Semantic Communication Systems Driven by Knowledge Graph
Zhou, F., Li, Y., Zhang, X., Wu, Q., Lei, X., & Hu, R. Q. (2022) · International Conference on Communications · doi:10.1109/icc45855.2022.9838470 · Cited by 102
Scoring the Terabit/s Goal:Broadband Connectivity in 6GPreprint
Rajatheva, N., Atzeni, I., Bicaïs, S., Björnson, E., Bourdoux, A., Buzzi, S., D’Andrea, C., Doré, J., Erküçük, S., Fuentes, M., et al. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2008.07220 · Cited by 99
A Robust Deep Learning Enabled Semantic Communication System for Text
Peng, X., Qin, Z., Huang, D., Tao, X., Lü, J., Liu, G., & Pan, C. (2022) · Globecom · doi:10.1109/globecom48099.2022.10000901 · Cited by 98
Why (and How) Networks Should Run Themselves
Feamster, N., & Rexford, J. (2018) · Applied Networking Research Workshop (ANRW) · doi:10.1145/3232755.3234555 · Cited by 96
Encrypted Semantic Communication Using Adversarial Training for Privacy Preserving
Luo, X., Chen, Z., Tao, M., & Yang, F. (2023) · IEEE Communications Letters · doi:10.1109/lcomm.2023.3269768 · Cited by 95
Reliable Semantic Communication System Enabled by Knowledge Graph
Jiang, S., Liu, Y., Zhang, Y., Luo, P., Cao, K., Xiong, J., Zhao, H., & Wei, J. (2022) · Entropy · doi:10.3390/e24060846 · Cited by 94
Exploiting Semantic Communication for Non-Orthogonal Multiple Access
Mu, X., & Liu, Y. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3288242 · Cited by 94
Adaptive Bit Rate Control in Semantic Communication With Incremental Knowledge-Based HARQ
Zhou, Q., Li, R., Zhao, Z., Xiao, Y. L., & Zhang, H. (2022) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2022.3189023 · Cited by 91
Multimodal semantic communication accelerated bidirectional caching for 6G MEC
Wang, C., Yu, X., Xu, L., Wang, Z., & Wang, W. (2022) · Future Generation Computer Systems · doi:10.1016/j.future.2022.10.036 · Cited by 90
A Survey on Semantic Communications for Intelligent Wireless Networks
Iyer, S., Khanai, R., Torse, D. A., Pandya, R. J., Rabie, K. M., Pai, K., Khan, W. U., & Fadlullah, Z. M. (2022) · Wireless Personal Communications · doi:10.1007/s11277-022-10111-7 · Cited by 88
Wiebe, N., Kapoor, A., & Svore, K. M. (2016) · Quantum Information and Computation · doi:10.26421/qic16.7-8-1 · Cited by 85
Cross-Modal Semantic Communications
Li, A., Wei, X., Wu, D., & Zhou, L. (2022) · IEEE Wireless Communications · doi:10.1109/mwc.008.2200180 · Cited by 85
Deep Joint Source-Channel Coding for CSI Feedback: An End-to-End Approach
Xu, J., Ai, B., Wang, N., & Chen, W. R. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3221963 · Cited by 83
Edge Intelligence: The Convergence of Humans, Things, and AI
Rausch, T., & Dustdar, S. (2019) · 2019 IEEE International Conference on Cloud Engineering (IC2E) · doi:10.1109/ic2e.2019.00022 · Cited by 82
Massive MIMO is a Reality -- What is Next? Five Promising Research Directions for Antenna ArraysPreprint
Björnson, E., Sanguinetti, L., Wymeersch, H., Hoydis, J., & Marzetta, T. L. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1902.07678 · Cited by 82
A Rate-Distortion Framework for Characterizing Semantic Information
Liu, J., Zhang, W., & Poor, H. V. (2021) · IEEE International Symposium on Information Theory (ISIT) · doi:10.1109/isit45174.2021.9518240 · Cited by 82
Towards goal-oriented semantic signal processing: Applications and future challenges
Kalfa, M., Gok, M., Atalık, A., Tegin, B., Duman, T. M., & Arıkan, O. (2021) · Digital Signal Processing · doi:10.1016/j.dsp.2021.103134 · Cited by 81
Cross-Modal Collaborative Communications
Zhou, L., Wu, D., Chen, J., & Wei, X. (2019) · IEEE Wireless Communications · doi:10.1109/mwc.001.1900201 · Cited by 80
Reinforcement Learning-powered Semantic Communication via Semantic SimilarityPreprint
Lu, K., Li, R., Chen, X., Zhao, Z., & Zhang, H. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2108.12121 · Cited by 74
One-to-Many Semantic Communication Systems: Design, Implementation, Performance Evaluation
Hu, H., Zhu, X., Zhou, F., Wu, W. Q., Hu, R. Q., & Zhu, H. (2022) · IEEE Communications Letters · doi:10.1109/lcomm.2022.3203984 · Cited by 72
Semantic-Aware Sensing Information Transmission for Metaverse: A Contest Theoretic Approach
Wang, J., Du, H., Tian, Z., Niyato, D. T., Kang, J., & Shen, X. (2023) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2022.3232565 · Cited by 72
A Survey on Goal-Oriented Semantic Communication: Techniques, Challenges, and Future Directions
Getu, T. M., Kaddoum, G., & Bennis, M. (2024) · IEEE Access · doi:10.1109/access.2024.3381967 · Cited by 71
Self-citationMaking Sense of Meaning: A Survey on Metrics for Semantic and Goal-Oriented Communication
Getu, T. M., Kaddoum, G., & Bennis, M. (2023) · IEEE Access · doi:10.1109/access.2023.3269848 · Cited by 69
Self-citationIs Semantic Communication Secure? A Tale of Multi-Domain Adversarial Attacks
Sagduyu, Y. E., Erpek, T., Ulukuş, Ş., & Yener, A. (2023) · IEEE Communications Magazine · doi:10.1109/mcom.006.2200878 · Cited by 68
A new communication paradigm: from bit accuracy to semantic fidelityPreprint
Shi, G., Gao, D., Song, X., Chai, J., Yang, M., Xie, X., Li, L., & Li, X. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2101.12649 · Cited by 67
Neuromorphic Wireless Cognition: Event-Driven Semantic Communications for Remote Inference
Chen, J., Skatchkovsky, N., & Simeone, O. (2023) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2023.3236940 · Cited by 65
Dai, J., Wang, S., Yang, K., Tan, K., Qin, X., Si, Z., Niu, K., & Zhang, P. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3288246 · Cited by 65
Semantic Communications for Wireless Sensing: RIS-Aided Encoding and Self-Supervised Decoding
Du, H., Wang, J., Niyato, D. T., Kang, J., Xiong, Z., Zhang, J., & Shen, X. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3288231 · Cited by 65
Performance Optimization for Semantic Communications: An Attention-based Learning Approach
Wang, Y., Chen, M., Saad, W., Luo, T., Cui, S. R., & Poor, H. V. (2021) · Globecom · doi:10.1109/globecom46510.2021.9685056 · Cited by 64
Semantic Communications With Discrete-Time Analog Transmission: A PAPR Perspective
Shao, Y., & Gündüz, D. (2022) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2022.3232946 · Cited by 63
Universal semantic communication I
Juba, B., & Sudan, M. (2008) · ACM Symposium on Theory of Computing (STOC) · doi:10.1145/1374376.1374397 · Cited by 60
Wireless Resource Management in Intelligent Semantic Communication Networks
Xia, L., Sun, Y., Li, X., Feng, G., & Imran, M. A. (2022) · IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) · doi:10.1109/infocomwkshps54753.2022.9797984 · Cited by 59
Quantum Communication Networks
Bassoli, R., Boche, H., Deppe, C., Ferrara, R., Fitzek, F. H. P., Janßen, G., & Saeedinaeeni, S. (2021) · Foundations in signal processing, communications and networking · doi:10.1007/978-3-030-62938-0 · Cited by 59
Can Terahertz Provide High-Rate Reliable Low-Latency Communications for Wireless VR?
Chaccour, C., Soorki, M. N., Saad, W., Bennis, M., & Popovski, P. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3142674 · Cited by 58
Self-citationAutonomous Wireless Systems With Artificial Intelligence: A Knowledge Management Perspective
Gacanin, H. (2019) · IEEE Vehicular Technology Magazine · doi:10.1109/mvt.2019.2920162 · Cited by 58
Liu, J., Shao, S., Zhang, W., & Poor, H. V. (2022) · IEEE Transactions on Communications · doi:10.1109/tcomm.2022.3194978 · Cited by 57
The Role of Fidelity in Goal-Oriented Semantic Communication: A Rate Distortion Approach
Stavrou, P. A., & Kountouris, M. (2023) · IEEE Transactions on Communications · doi:10.1109/tcomm.2023.3274122 · Cited by 57
Autoencoder-based Semantic Communication Systems with Relay Channels
Luo, X., Yin, B., Chen, Z., Xia, B., & Wang, J. (2022) · IEEE International Conference on Communications workshops · doi:10.1109/iccworkshops53468.2022.9814566 · Cited by 56
A theory of semantic information
Zhong, Y. (2017) · China Communications · doi:10.1109/cc.2017.7839754 · Cited by 56
Wireless Transmission of Images with the Assistance of Multi-level Semantic Information
Zhang, Z., Yang, Q., He, S., Sun, M., & Chen, J. (2022) · International Symposium on Wireless Communication Systems · doi:10.1109/iswcs56560.2022.9940401 · Cited by 56
Semantic Communications for Speech Recognition
Weng, Z., Qin, Z., & Li, G. Y. (2021) · Globecom · doi:10.1109/globecom46510.2021.9685250 · Cited by 55
Preserving quality of information by using semantic relationships
Basu, P., Bao, J., Dean, M., & Hendler, J. (2013) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2013.07.013 · Cited by 55
Understand-Before-Talk (UBT): A Semantic Communication Approach to 6G Networks
Pokhrel, S. R., & Choi, J. (2023) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2022.3219363 · Cited by 55
Image Segmentation Semantic Communication over Internet of Vehicles
Pan, Q., Tong, H., Lv, J., Luo, T., Zhang, Z., Yin, C., & Li, J. (2023) · IEEE Wireless Communications and Networking Conference · doi:10.1109/wcnc55385.2023.10118717 · Cited by 54
Semantic Coding for Text Transmission: An Iterative Design
Yao, S., Niu, K., Wang, S., & Dai, J. (2022) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2022.3192407 · Cited by 53
Wireless Image Transmission With Semantic and Security Awareness
Zhang, M., Li, Y., Zhang, Z., Zhu, G., & Zhong, C. (2023) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2023.3275383 · Cited by 53
Mathematics of Quantum Computing
Scherer, W. (2019) · Springer eBooks · doi:10.1007/978-3-030-12358-1 · Cited by 52
Task-Oriented Communications for NextG: End-to-end Deep Learning and AI Security Aspects
Sagduyu, Y. E., Ulukuş, Ş., & Yener, A. (2023) · IEEE Wireless Communications · doi:10.1109/mwc.006.2200494 · Cited by 50
Melamed, I. D. (1997) · Cited by 50
Huang, Y., Bai, B., Zhu, Y., Qiao, X., Su, X. J., Yang, L., & Zhang, P. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3345430 · Cited by 50
Federated Learning for Audio Semantic Communication
Tong, H., Yang, Z., Wang, S., Hu, Y., Semiari, O., Saad, W., & Yin, C. (2021) · Frontiers in Communications and Networks · doi:10.3389/frcmn.2021.734402 · Cited by 49
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Garg, S., Sünderhauf, N., Dayoub, F., Morrison, D., Cosgun, A., Carneiro, G., Wu, Q., Chin, T.-J., Reid, I. D., Gould, S. J., et al. (2020) · Found. Trends Robotics · doi:10.1561/9781680837698 · Cited by 49
Joint User Association and Bandwidth Allocation in Semantic Communication Networks
Xia, L., Sun, Y., Niyato, D. T., Li, X., & Imran, M. A. (2023) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2023.3318510 · Cited by 48
Yang, H.-C., & Alouini, M.-S. (2019) · IEEE Vehicular Technology Magazine · doi:10.1109/mvt.2019.2921587 · Cited by 48
Toward a semantic general theory of everything
Samsonovich, A. V., Goldin, R., & Ascoli, G. A. (2009) · Complexity · doi:10.1002/cplx.20293 · Cited by 46
On Quantifying Semantic Information
D’Alfonso, S. (2011) · Information · doi:10.3390/info2010061 · Cited by 45
Perceptual Learned Source-Channel Coding for High-Fidelity Image Semantic Transmission
Wang, J., Wang, S., Dai, J., Si, Z., Zhou, D., & Niu, K. (2022) · Globecom · doi:10.1109/globecom48099.2022.10001359 · Cited by 44
Toward Semantic Communication Protocols: A Probabilistic Logic Perspective
Seo, S., Park, J., Ko, S., Choi, J., Bennis, M., & Kim, S. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3288268 · Cited by 43
Self-citationSemantic Information Recovery in Wireless Networks
Beck, E., Bockelmann, C., & Dekorsy, A. (2023) · Sensors · doi:10.3390/s23146347 · Cited by 42
The Internet of No Things: Making the Internet Disappear and "See the Invisible"
Maier, M., Ebrahimzadeh, A., Rostami, S., & Beniiche, A. (2020) · IEEE Communications Magazine · doi:10.1109/mcom.001.2000098 · Cited by 42
Context-Based Semantic Communication via Dynamic Programming
Zhang, Y., Zhao, H., Wei, J., Zhang, J., Flanagan, M. F., & Xiong, J. (2022) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2022.3173056 · Cited by 41
Approximation and Estimation for High-Dimensional Deep Learning NetworksPreprint
Barron, A. R., & Klusowski, J. M. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1809.03090 · Cited by 39
Quantum Semantic Communications for Resource-Efficient Quantum Networking
Chehimi, M. M., Chaccour, C., Thomas, C. K., & Saad, W. (2024) · IEEE Communications Letters · doi:10.1109/lcomm.2024.3361852 · Cited by 39
Quantum Communication, Quantum Networks, and Quantum Sensing
(2022) · Elsevier eBooks · doi:10.1016/c2019-0-05028-5 · Cited by 39
Semantics-Native Communication with Contextual ReasoningPreprint
Seo, H., Park, J., Bennis, M., & Debbah, M. A. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2108.05681 · Cited by 38
Self-citationDeep Joint Source-Channel Coding for Image Transmission With Visual Protection
Xu, J., Ai, B., Chen, W. R., Wang, N., & Rodrigues, M. R. D. (2023) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2023.3306851 · Cited by 38
5G and Beyond: Smart Devices as Part of the Network Fabric
Coll-Perales, B., Gozálvez, J., & Maestre, J. L. (2019) · IEEE Network · doi:10.1109/mnet.2019.1800136 · Cited by 38
Life-long Learning for Reasoning-based Semantic Communication
Liang, J., Xiao, Y. L., Li, Y., Shi, G., & Bennis, M. (2022) · IEEE International Conference on Communications workshops · doi:10.1109/iccworkshops53468.2022.9814575 · Cited by 38
Self-citationDemo: Real-Time Semantic Communications with a Vision Transformer
Yoo, H.-J., Jung, T., Dai, L., Kim, S., & Chae, C. (2022) · IEEE International Conference on Communications workshops · doi:10.1109/iccworkshops53468.2022.9914635 · Cited by 38
Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks
Lotfi, F., Semiari, O., & Saad, W. (2022) · International Conference on Communications · doi:10.1109/icc45855.2022.9839122 · Cited by 37
Semantic Entropy in Language Comprehension
Venhuizen, N. J., Crocker, M. W., & Brouwer, H. (2019) · Entropy · doi:10.3390/e21121159 · Cited by 37
6G Cognitive Information Theory: A Mailbox Perspective
Hao, Y., Miao, Y., Chen, M., Gharavi, H., & Leung, V. C. M. (2021) · Big Data and Cognitive Computing · doi:10.3390/bdcc5040056 · Cited by 36
Guo, L., Chen, W. R., Sun, Y., & Ai, B. (2024) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2024.3510586 · Cited by 35
Bertin, E., Crespi, N., & Magedanz, T. (2021) · Wiley eBooks · doi:10.1002/9781119765554 · Cited by 34
Economics of Semantic Communication System in Wireless Powered Internet of Things
Liew, Z. Q., Cheng, Y., Lim, W. Y. B., Niyato, D. T., Miao, C., & Sun, S. (2022) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp43922.2022.9746463 · Cited by 33
Toward Native Artificial Intelligence in 6G Networks: System Design, Architectures, and ParadigmsPreprint
Wu, J., Li, R., An, X., Peng, C., Liu, Z., Crowcroft, J., & Zhang, H. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2103.02823 · Cited by 33
Learning Based Joint Coding-Modulation for Digital Semantic Communication Systems
Bo, Y., Duan, Y., Shao, S., & Tao, M. (2022) · International Conference on Wireless Communications and Signal Processing (WCSP) · doi:10.1109/wcsp55476.2022.10039447 · Cited by 32
Kaewpuang, R., Xu, M., Lim, W. Y. B., Niyato, D. T., Yu, H., Kang, J., & Shen, X. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3301033 · Cited by 32
Semantic Communications With AI TasksPreprint
Yang, Y., Guo, C., Liu, F., Liu, C., Sun, L., Sun, Q., & Chen, J. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2109.14170 · Cited by 31
Reasoning on the Air: An Implicit Semantic Communication Architecture
Xiao, Y., Li, Y., Shi, G., & Poor, H. V. (2022) · IEEE International Conference on Communications workshops · doi:10.1109/iccworkshops53468.2022.9814604 · Cited by 30
Intelligent Fabric Enabled 6G Semantic Communication System for In-Cabin Scenarios
Tang, Y., Zhou, N., Qiao, Y., Wu, D., Hou, C., Tao, G., & Chen, M. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3174704 · Cited by 30
Extended context-based semantic communication system for text transmission
Liu, Y., Jiang, S., Zhang, Y., Cao, K., Zhou, L., Seet, B., Zhao, H., & Wei, J. (2022) · Digital Communications and Networks · doi:10.1016/j.dcan.2022.09.023 · Cited by 30
AFSSE: An Interpretable Classifier With Axiomatic Fuzzy Set and Semantic Entropy
Liu, X., Jia, W., Liu, W., & Pedrycz, W. (2019) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2019.2945239 · Cited by 29
Ng, W. C., Du, H., Lim, W. Y. B., Xiong, Z., Niyato, D. T., & Miao, C. (2024) · IEEE Wireless Communications and Networking Conference · doi:10.1109/wcnc57260.2024.10570867 · Cited by 29
Performance Limits of a Deep Learning-Enabled Text Semantic Communication Under Interference
Getu, T. M., Saad, W., Kaddoum, G., & Bennis, M. (2024) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2024.3370497 · Cited by 27
Self-citationDeepJSCC-f: Deep Joint Source-Channel Coding of Images with FeedbackPreprint
Kurka, D. B., & Gündüz, D. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1911.11174 · Cited by 26
Wireless Semantic Transmission via Revising Modules in Conventional Communications
Jiang, P., Wen, C.-K., Jin, S., & Li, G. Y. (2023) · IEEE Wireless Communications · doi:10.1109/mwc.009.2200515 · Cited by 26
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Park, J., Samarakoon, S., Elgabli, A., Kim, J., Bennis, M., Kim, S.-L., & Debbah, M. (2021) · Proceedings of the IEEE · doi:10.1109/jproc.2021.3055679 · Cited by 25
Self-citationTopos and Stacks of Deep Neural NetworksPreprint
Belfiore, J.-C., & Bennequin, D. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2106.14587 · Cited by 25
Dong, P., Wu, Q., Zhang, X., & Ding, G. (2022) · China Communications · doi:10.23919/jcc.2022.08.001 · Cited by 25
Güler, B., & Yener, A. (2014) · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2014.6815245 · Cited by 24
Rate-Distortion Theory for Strategic Semantic Communication
Xiao, Y. L., Zhang, X., Li, Y., Shi, G., & Başar, T. (2022) · IEEE Information Theory Workshop (ITW) · doi:10.1109/itw54588.2022.9965825 · Cited by 24
6G: The Next Horizon From Connected People and Things to Connected Intelligence
Tong, W., & Zhu, P. (2021) · Cited by 23
Semantic-aware Speech to Text Transmission with Redundancy Removal
Han, T., Yang, Q., Shi, Z., He, S., & Zhang, Z. (2022) · IEEE International Conference on Communications workshops · doi:10.1109/iccworkshops53468.2022.9814492 · Cited by 23
Deep Joint CSI Feedback and Multiuser Precoding for MIMO OFDM Systems
Guo, Y., Chen, W. R., Xu, J., Li, L., & Ai, B. (2024) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2024.3452409 · Cited by 23
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Lu, C. (2019) · Information · doi:10.3390/info10080261 · Cited by 22
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Choi, J., Loke, S. W., & Park, J. (2022) · IEEE Access · doi:10.1109/access.2022.3228563 · Cited by 21
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Choi, J., Loke, S. W., & Park, J. (2022) · IEEE International Conference on Communications workshops · doi:10.1109/iccworkshops53468.2022.9814642 · Cited by 21
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Wheeler, D., Tripp, E. E., & Natarajan, B. (2022) · IEEE Communications Letters · doi:10.1109/lcomm.2022.3230246 · Cited by 21
Signal Shaping for Semantic Communication Systems with A Few Message Candidates
Guo, S., Wang, Y., & Zhangz, P. (2022) · IEEE Vehicular Technology Conference · doi:10.1109/vtc2022-fall57202.2022.10012981 · Cited by 19
Challenges and Directions for Semantic Communication
Rodoplu, V., & Vadvalkar, S. S. (2007) · IEEE International Conference on Semantic Computing (ICSC) · doi:10.1109/icosc.2007.4338361 · Cited by 19
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Xiao, W., Tang, Y., Liu, J., Wu, D., Alzahrani, B. A., Hao, Y., & Zhou, N. (2022) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2022.3202901 · Cited by 18
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Liew, Z. Q., Du, H., Lim, W. Y. B., Xiong, Z., Niyato, D. T., Miao, C., & Kim, D. I. (2023) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2023.3278467 · Cited by 18
Preserving quality of information by using semantic relationships
Basu, P., Bao, J., Dean, M., & Hendler, J. (2012) · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2012.6197583 · Cited by 18
Semantic compaction, transmission, and compression codes
Willems, F. M. J., & Kalker, T. (2005) · IEEE International Symposium on Information Theory (ISIT) · doi:10.1109/isit.2005.1523325 · Cited by 17
Semantic Sensing and Communications for Ultimate Extended RealityPreprint
Zhang, B., Qin, Z., Guo, Y., & Li, G. Y. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2212.08533 · Cited by 17
An Algebraic Theory of Information: An Introduction and Survey
Kohlas, J., & Schmid, J. (2014) · Information · doi:10.3390/info5020219 · Cited by 16
SEQ2SEQ-SC: End-To-End Semantic Communication Systems with Pre-Trained Language Model
Lee, J.-H., Lee, D., Sheen, E., Choi, T., & Pujara, J. (2023) · Asilomar Conference on Signals, Systems and Computers (ACSSC) · doi:10.1109/ieeeconf59524.2023.10476895 · Cited by 16
Internet of Things (IoT) Connectivity in 6G: An Interplay of Time, Space, Intelligence, and ValuePreprint
Popovski, P., Chiariotti, F., Croisfelt, V., Kalør, A. E., Leyva‐Mayorga, I., Marchegiani, L., Pandey, S. R., & Soret, B. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2111.05811 · Cited by 15
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Juba, B., & Sudan, M. (2008) · Cited by 15
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Luong, N. C., Pham, Q., Huynh‐The, T., Nguyen, V., Ng, D. W. K., & Chatzinotas, S. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2212.06463 · Cited by 15
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Guo, Y., Chen, W., Sun, F., Cheng, J., Matthaiou, M., & Ai, B. (2024) · IEEE Communications Magazine · doi:10.1109/mcom.001.2400285 · Cited by 15
On Semantic Information in Nature
Johannsen, W. (2015) · Information · doi:10.3390/info6030411 · Cited by 14
Zhu, M., Feng, C., Chen, J., Guo, C., & Gao, X. (2021) · IEEE/CIC International Conference on Communications in China (ICCC) · doi:10.1109/icccworkshops52231.2021.9538906 · Cited by 14
Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication
Yun, W. J., Lim, B., Jung, S., Ko, Y., Park, J., Kim, J., & Bennis, M. (2021) · International Symposium on Wireless Communication Systems · doi:10.1109/iswcs49558.2021.9562230 · Cited by 14
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Chaccour, C., & Saad, W. (2022) · Asilomar Conference on Signals, Systems and Computers (ACSSC) · doi:10.1109/ieeeconf56349.2022.10051974 · Cited by 14
Graziano, M. S. A. (2021) · Brain · doi:10.1093/brain/awab046 · Cited by 13
Towards a Theory of Semantic Communication (Extended Technical Report)
Bao, J., Basu, P., Dean, M., Partridge, C., Swami, A., Leland, W., & Hendler, J. (2011) · Defense Technical Information Center (DTIC) · doi:10.21236/ada544137 · Cited by 11
Semantic Communications: A New Paradigm for Networked Intelligence
Zhang, Y., Wang, F., Xu, W., & Liu, C. (2022) · Machine learning for signal processing ... · doi:10.1109/mlsp55214.2022.9943480 · Cited by 11
Semantic-Native Communication: A Simplicial Complex Perspective
Zhao, Q., Bennis, M., Debbah, M. A., & da Costa, D. B. (2022) · IEEE Globecom Workshops (GC Wkshps) · doi:10.1109/gcwkshps56602.2022.10008602 · Cited by 11
Self-citationInformation Bottleneck-Inspired Type Based Multiple Access for Remote Estimation in IoT Systems
Zhu, M., Feng, C., Guo, C., Jiang, N., & Simeone, O. (2023) · IEEE Signal Processing Letters · doi:10.1109/lsp.2023.3266115 · Cited by 10
Semantic Communication for Simple Goals Is Equivalent to On-line Learning
Juba, B., & Vempala, S. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-24412-4_23 · Cited by 10
NeuroRAN Rethinking Virtualization for AI‐native Radio Access Networks in 6G
Carbone, P., Dán, G., Gross, J., Göransson, B., & Petrova, M. (2022) · Insight · doi:10.1002/inst.12416 · Cited by 9
Mathematics for Future Computing and Communications
Heng, L., & McColl, B. (2021) · Cambridge University Press eBooks · doi:10.1017/9781009070218 · Cited by 8
Sun, X., Chen, J., & Guo, C. (2022) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon49645.2022.9969083 · Cited by 8
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Liu, Y., Zhang, Y., Luo, P., Jiang, S., Cao, K., Zhao, H., & Wei, J. (2022) · Electronics · doi:10.3390/electronics11091358 · Cited by 6
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Lee, H., Ahn, H., & Park, Y. D. (2022) · ICT Express · doi:10.1016/j.icte.2022.04.001 · Cited by 5
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Getu, T. M. (2020) · doi:10.36227/techrxiv.12845753.v1 · Cited by 4
Self-citationCompatibility among diversity Foundations, lessons, and directions of semantic communication
Juba, B. (2013) · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2013.6529541 · Cited by 3
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Yu, Z., Huang, H., Cheng, L., Zhang, W., Mu, Y., & Xu, K. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2212.14739 · Cited by 3
Building semantic communication system via molecules: An end-to-end training approach
Yu-kun, C., Chen, W. R., & Ai, B. (2024) · China Communications · doi:10.23919/jcc.fa.2024-0027.202407 · Cited by 3
Logic and information: a unifying approach to semantic information theory
Langel, J., & Kohlas, J. (2010) · reroDoc Digital Library · Cited by 2
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Getu, T. M., Kaddoum, G., & Bennis, M. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2310.19974 · Cited by 2
Self-citationA Rate Distortion Approach to Goal-Oriented CommunicationPreprint
Stavrou, P. A., & Kountouris, M. (2022) · doi:10.36227/techrxiv.19128026.v1 · Cited by 1
Impact Analysis of Emerging Semantic Communication Systems on Network Performance
Lee, H., Ahn, H., & Park, Y. D. (2022) · Electronics · doi:10.3390/electronics11101567 · Cited by 1
Flagged first, then by citations
34 of the 388 references couldn’t be matched to a known paper.
Research works printed but not linked: 15
- Hackl, 2022, Navigating The Metaverse: A Guide To Limitless Possibilities in a Web 3.0 World
- Rajatheva, 2020, White paper on broadband connectivity in 6G, arXiv:2004.14247 · arXiv
- 10.1145/584091.584093 · DOI
- Jurafsky, 2000, Speech and Language Processing: An Introduction To Natural Language Processing, Computational Linguistics, and Speech Recognition
- Morris, 1938, Foundations of the Theory of Signs
- Bear, 2016, Neuroscience: Exploring the Brain
- Kandel, 2021, Principles of Neural Science
- 10.48550/ARXIV.1404.7828 · DOI
- Pearl, 2016, Causal Inference in Statistics: A Primer
- Peters, 2017, Elements of Causal Inference: Foundations and Learning Algorithms
- 10.1145/1374376.1374397 · DOI
- Chattopadhyay, 2021, Quantifying Task Complexity Through Generalized Information Measures
- Goodfellow, Generative adversarial nets, 2672
- Kahneman, 2011, Thinking, Fast and Slow
- 10.1109/ICSC.2007.99 · DOI
Cited by
Sorted by citations
A Survey on Goal-Oriented Semantic Communication: Techniques, Challenges, and Future Directions
Getu, T. M., Kaddoum, G., & Bennis, M. (2024) · IEEE Access · doi:10.1109/access.2024.3381967 · Cited by 71
Self-citationYan, M. G., Guo, H., Chan, C. A., Gygax, A. F., Li, C., & Chih‐Lin, I. (2025) · IEEE Wireless Communications · doi:10.1109/mwc.2025.3600791 · Cited by 35
Physical Layer Security for Integrated Sensing and Communication: A Survey
Matsumine, T., Ochiai, H., & Shikata, J. (2025) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2025.3598312 · Cited by 33
Zhang, M., Abdi, M., Dasari, V. R., & Restuccia, F. (2025) · Computer Networks · doi:10.1016/j.comnet.2025.111531 · Cited by 26
Zhu, F., Chen, J., Wen, J., Yang, Y., Yi, C., Tie, Y., Zhang, P., Cai, J., Niyato, D. T., & Guizani, M. (2026) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2026.3665395 · Cited by 26
Metadata
- Authors
- Getu, T. M., Kaddoum, G., & Bennis, M.
- Affiliations
- National Institute of Standards and Technology (US)
- École de Technologie Supérieure (CA)
- University of Oulu (FI)
- Venue
- Proceedings of the IEEE
- Published
- 2024-11
- Volume
- 112
- Issue
- 11
- Pages
- 1649-1685
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W4406858359
- Cited by
- 110
- References
- 388
- Citations by year
- 2026: 74 · 2025: 32 · 2024: 4
- FWCI
- 11.38
- Type
- journal article
- Language
- en
- Open access
- green
- dx.doi.org
- Licence
- Locations
- Proceedings of the IEEE (publishedVersion)
- Espace ÉTS (ETS) (submittedVersion)
- Figshare (submittedVersion, cc-by-nc-sa)
- Funders
- U.S. Department of Commerce and its agency National Institute of Standards and Technology
- Natural Sciences and Engineering Research Council of Canada (NSERC) through its Canada Research Chair in Unlocking the Power of the IoT 6G-Networks
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optical Wireless Communication Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Wireless Communication Security Techniques
- Keywords
- semantic communication, 6G, deep learning, semantic information, semantic representation, semantic entropy, research challenges, future research directions
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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