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

• Published in: Digital signal processing Vol. 119; p. 103134
• Main Authors: Kalfa, Mert, Gok, Mehmetcan, Atalik, Arda, Tegin, Busra, Duman, Tolga M., Arikan, Orhan
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01-12-2021
• Subjects: Goal-oriented communications; Graph-based languages; Semantic communications; Semantic signal processing; Goal-oriented communications; Graph-based languages; Semantic communications; Semantic signal processing
• ISSN: 1051-2004; 1095-4333
• DOI: 10.1016/j.dsp.2021.103134

Advances in machine learning technology have enabled real-time extraction of semantic information in signals which can revolutionize signal processing techniques and improve their performance significantly for the next generation of applications. With the objective of a concrete representation and efficient processing of the semantic information, we propose and demonstrate a formal graph-based semantic language and a goal filtering method that enables goal-oriented signal processing. The proposed semantic signal processing framework can easily be tailored for specific applications and goals in a diverse range of signal processing applications. To illustrate its wide range of applicability, we investigate several use cases and provide details on how the proposed goal-oriented semantic signal processing framework can be customized. We also investigate and propose techniques for communications where sensor data is semantically processed and semantic information is exchanged across a sensor network.