Beyond Transmitting Bits: Context, Semantics, and Task-Oriented
Communications
- URL: http://arxiv.org/abs/2207.09353v1
- Date: Tue, 19 Jul 2022 16:00:57 GMT
- Title: Beyond Transmitting Bits: Context, Semantics, and Task-Oriented
Communications
- Authors: Deniz Gunduz, Zhijin Qin, Inaki Estella Aguerri, Harpreet S. Dhillon,
Zhaohui Yang, Aylin Yener, Kai Kit Wong, Chan-Byoung Chae
- Abstract summary: Next generation systems can be potentially enriched by folding message semantics and goals of communication into their design.
This tutorial summarizes the efforts to date, starting from its early adaptations, semantic-aware and task-oriented communications.
The focus is on approaches that utilize information theory to provide the foundations, as well as the significant role of learning in semantics and task-aware communications.
- Score: 88.68461721069433
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Communication systems to date primarily aim at reliably communicating bit
sequences. Such an approach provides efficient engineering designs that are
agnostic to the meanings of the messages or to the goal that the message
exchange aims to achieve. Next generation systems, however, can be potentially
enriched by folding message semantics and goals of communication into their
design. Further, these systems can be made cognizant of the context in which
communication exchange takes place, providing avenues for novel design
insights. This tutorial summarizes the efforts to date, starting from its early
adaptations, semantic-aware and task-oriented communications, covering the
foundations, algorithms and potential implementations. The focus is on
approaches that utilize information theory to provide the foundations, as well
as the significant role of learning in semantics and task-aware communications.
Related papers
- Pragmatic Goal-Oriented Communications under Semantic-Effectiveness Channel Errors [3.266331042379877]
In forthcoming AI-assisted 6G networks, integrating semantic, pragmatic, and goal-oriented communication strategies becomes imperative.
This paper proposes and details a novel mathematical modeling of errors stemming from language mismatches at both semantic and effectiveness levels.
Our numerical results show the potential of the proposed mechanism to compensate for language mismatches, thereby enhancing the attainability of reliable communication under noisy communication environments.
arXiv Detail & Related papers (2024-01-19T16:43:47Z) - Will 6G be Semantic Communications? Opportunities and Challenges from
Task Oriented and Secure Communications to Integrated Sensing [49.83882366499547]
This paper explores opportunities and challenges of task (goal)-oriented and semantic communications for next-generation (NextG) networks through the integration of multi-task learning.
We employ deep neural networks representing a dedicated encoder at the transmitter and multiple task-specific decoders at the receiver.
We scrutinize potential vulnerabilities stemming from adversarial attacks during both training and testing phases.
arXiv Detail & Related papers (2024-01-03T04:01:20Z) - Reasoning over the Air: A Reasoning-based Implicit Semantic-Aware
Communication Framework [124.6509194665514]
A novel implicit semantic-aware communication (iSAC) architecture is proposed for representing, communicating, and interpreting the implicit semantic meaning between source and destination users.
A projection-based semantic encoder is proposed to convert the high-dimensional graphical representation of explicit semantics into a low-dimensional semantic constellation space for efficient physical channel transmission.
A generative adversarial imitation learning-based solution, called G-RML, is proposed to enable the destination user to learn and imitate the implicit semantic reasoning process of source user.
arXiv Detail & Related papers (2023-06-20T01:32:27Z) - Less Data, More Knowledge: Building Next Generation Semantic
Communication Networks [180.82142885410238]
We present the first rigorous vision of a scalable end-to-end semantic communication network.
We first discuss how the design of semantic communication networks requires a move from data-driven networks towards knowledge-driven ones.
By using semantic representation and languages, we show that the traditional transmitter and receiver now become a teacher and apprentice.
arXiv Detail & Related papers (2022-11-25T19:03:25Z) - Imitation Learning-based Implicit Semantic-aware Communication Networks:
Multi-layer Representation and Collaborative Reasoning [68.63380306259742]
Despite its promising potential, semantic communications and semantic-aware networking are still at their infancy.
We propose a novel reasoning-based implicit semantic-aware communication network architecture that allows multiple tiers of CDC and edge servers to collaborate.
We introduce a new multi-layer representation of semantic information taking into consideration both the hierarchical structure of implicit semantics as well as the personalized inference preference of individual users.
arXiv Detail & Related papers (2022-10-28T13:26:08Z) - Common Language for Goal-Oriented Semantic Communications: A Curriculum
Learning Framework [66.81698651016444]
A comprehensive semantic communications framework is proposed for enabling goal-oriented task execution.
A novel top-down framework that combines curriculum learning (CL) and reinforcement learning (RL) is proposed to solve this problem.
Simulation results show that the proposed CL method outperforms traditional RL in terms of convergence time, task execution time, and transmission cost during training.
arXiv Detail & Related papers (2021-11-15T19:13:55Z) - 6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented
Communications [18.375641635746714]
6G semantic networks can bring semantic learning mechanisms at the edge of the network.
Semantic learning can help 6G networks to improve their efficiency and sustainability.
arXiv Detail & Related papers (2020-11-04T13:33:04Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.