Towards goal-oriented semantic signal processing: Applications and future challenges

Kalfa, Mert; Gok, Mehmetcan; Atalik, Arda; Tegin, Büşra; Duman, Tolga M.; Arıkan, Orhan

doi:10.1016/j.dsp.2021.103134

Cited by 47 publications

(51 citation statements)

References 130 publications

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“…To investigate whether there are adversarial samples in nature, a mobile phone camera is used to 6: The task-oriented semantic signal processing framework [16]. photograph adversarial samples [32], which have showed that images obtained by taking pictures of the adversarial samples will also be misclassified.…”

Section: Sentiment Classificationmentioning

confidence: 99%

“…1) Task-Oriented Semantic System: Similar to the general structure shown in Fig. 3, Kalfa et al [16] proposed a semantic signal processing framework in Fig. 6, which can be tailored for specific tasks at the receiver easily.…”

Section: New Semantic Communication Frameworkmentioning

confidence: 99%

“…The multiple access scheme is further developed based on obtained semantic information. Moreover, the developed communication system could extend up to either signal reconstruction or information exploitation for specific tasks, which is similar to that in [16]. 3) System 1 and System 2 SNC: A system 1 semantics-native communication (SNC) model was introduced in [34], where an entity of interest, e.g., abstract ideas, physical phenomena, or objects, is conceptualized and symbolized by a speaker as a semantic representation.…”

Section: New Semantic Communication Frameworkmentioning

confidence: 99%

“…Tong et al [3] identified two semantic communication related critical challenges faced by AI and 6G, including its mathematical foundations and the system design. Kalfa [16] discussed semantic transformations of different sources for popular tasks in the field, and presented the semantic communication system design for different types of sources. Strinati et al [17] indicated the role of semantic communications in 6G.…”

mentioning

confidence: 99%

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Semantic Communications: Principles and Challenges

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et al. 2022

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Semantic communication, regarded as the breakthrough beyond Shannon paradigm, aims at the successful transmission of semantic information conveyed by the source rather than the accurate reception of each single symbol or bit regardless of its meaning. This article provides an overview on semantic communications. After a brief review on Shannon information theory, we discuss semantic communications with theory, frameworks, and system design enabled by deep learning. Different from the symbol/bit error rate used for measuring the conventional communication systems, new performance metrics for semantic communications are also discussed. The article is concluded by several open questions.

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Section: Sentiment Classificationmentioning

confidence: 99%

Section: New Semantic Communication Frameworkmentioning

confidence: 99%

Section: New Semantic Communication Frameworkmentioning

confidence: 99%

mentioning

confidence: 99%

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Semantic Communications: Principles and Challenges

Qin¹,

Tao²,

Lü³

et al. 2022

Preprint

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“…Therefore, the authors propose a robust end-to-end communication system in [129] aiming to facilitate intelligent communication at the physical layer. For goal-oriented communication [130] shown in Fig. 6, the authors in [131] propose a joint source-channel coding (JSSC) scheme for extracting and transmitting semantic features in messages to perform specific tasks.…”

Section: B Human-in-the-loop Communicationmentioning

confidence: 99%

A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges

Xu¹,

Ng²,

Lim³

et al. 2022

Preprint

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Dubbed "the successor to the mobile Internet", the concept of the Metaverse has grown in popularity. While there exist lite versions of the Metaverse today, they are still far from realizing the full vision of an immersive, embodied, and interoperable Metaverse. Without addressing the issues of implementation from the communication and networking, as well as computation perspectives, the Metaverse is difficult to succeed the Internet, especially in terms of its accessibility to billions of users today. In this survey, we focus on the edge-enabled Metaverse to realize its ultimate vision. We first provide readers with a succinct tutorial of the Metaverse, an introduction to the architecture, as well as current developments. To enable the ubiquitous, seamless, and embodied access to the Metaverse, we discuss the communication and networking challenges and survey cutting-edge solutions and concepts that leverage next-generation communication systems for users to be telepresent and teleoperate in the Metaverse. Moreover, given the high computation costs required, e.g., to render immersive 3D worlds and run data hungry artificial intelligence (AI) driven applications, we discuss the computation challenges and cloud-edge-end computation framework driven solutions to realize the Metaverse on resource-constrained edge devices. Next, we explore how blockchain technologies can aid in the interoperable development of the Metaverse, not just in terms of empowering the economic circulation of virtual usergenerated contents, but also to manage physical edge resources in a decentralized, transparent, and tamper-proof manner. Finally, we discuss the future research directions towards realizing the true vision of the edge-enabled Metaverse.

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