The semantic communication game

Güler, Başak; Yener, Aylin; Swami, Ananthram

doi:10.1109/icc.2016.7510797

Cited by 34 publications

(56 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Building on a more general information theory, there are also various proposals concerning the design of a semantic communication system [43][44][45][46][47][48][49]. In [43], it was proposed a method to perform semantic lossless data compression, as a way to produce a significant compression with respect to entropy-based encoders.…”

Section: Semantic Communicationsmentioning

confidence: 99%

“…Semantic data compression and the capacity of a semantic channel have been studied in [45]. An end-to-end (E2E) semantic communication framework incorporating semantic inference and physical layer communication problems has been proposed and analyzed in [48], where semantic was exploited by considering similarities between single words. A further significant extension was given in the recent work [50], where the authors, building on recent natural language processing (NLP) tools, use a deep neural network to learn, jointly, a semantic/channel encoder, considering similarities between whole sentences.…”

Section: Semantic Communicationsmentioning

confidence: 99%

See 1 more Smart Citation

6G networks: Beyond Shannon towards semantic and goal-oriented communications

2021

View full text Add to dashboard Cite

The goal of this paper is to promote the idea that including semantic and goal-oriented aspects in future 6G networks can produce a significant leap forward in terms of system effectiveness and sustainability. Semantic communication goes beyond the common Shannon paradigm of guaranteeing the correct reception of each single transmitted bit, irrespective of the meaning conveyed by the transmitted bits. The idea is that, whenever communication occurs to convey meaning or to accomplish a goal, what really matters is the impact that the received bits have on the interpretation of the meaning intended by the transmitter or on the accomplishment of a common goal. Focusing on semantic and goal-oriented aspects, and possibly combining them, helps to identify the relevant information, i.e. the information strictly necessary to recover the meaning intended by the transmitter or to accomplish a goal. Combining knowledge representation and reasoning tools with machine learning algorithms paves the way to build semantic learning strategies enabling current machine learning algorithms to achieve better interpretation capabilities and contrast adversarial attacks. 6G semantic networks can bring semantic learning mechanisms at the edge of the network and, at the same time, semantic learning can help 6G networks to improve their efficiency and sustainability.

show abstract

Section: Semantic Communicationsmentioning

confidence: 99%

Section: Semantic Communicationsmentioning

confidence: 99%

6G networks: Beyond Shannon towards semantic and goal-oriented communications

2021

View full text Add to dashboard Cite

show abstract

“…Nevertheless, in [2], he has indirectly provided a means to study semantic information sources because the coding aspect determined by the probabilistic model of the source is dictated by a distortion constraint imposed in the system. Despite various endeavors [3]- [9], a general, well accepted, theory of semantic information, with tangible applications to communication systems, remains elusive. The quest for such a theory has recently gained new impetus [10]- [12], fueled by the emergence of networks of autonomous agents with advanced sensing, learning, and decision-making capabilities.…”

Section: Introductionmentioning

confidence: 99%

A Rate Distortion Approach to Goal-Oriented Communication

Stavrou¹,

Kountouris²

2022

Preprint

View full text Add to dashboard Cite

<pre>A variant of a robust description source coding framework motivated by goal-oriented semantic information transmission is studied here. Considering two individual distortion constraints and input and output data that takes values in finite sets, we prove a general result that provides in parametric form the various cases of optimal solutions of this problem. Then, we derive structural properties of the solution when this achieves the best rates. Capitalizing on these results, we examine the structure of the solution for one case study of general binary alphabets under Hamming distortions and solve in closed form a special case. We also solve another general binary alphabet case where a Hamming and an erasure distortion are used, as a means to highlight the importance of selecting the type of the distortion constraint in the problem.</pre>

show abstract

“…The success of IoT heavily relies on communication systems that can accurately and effectively transmit information from transmitter to receiver. Recent advancements in natural language processing (NLP) [1], [2] and Deep Learning (DL) enabled end-to-end (E2E) communication system [3] have enabled semantic level communication systems for text transmission. While conventional communications focus on reducing the bit-error rate (BER) or symbolerror rate (SER) [4], [5], semantic communication aims to transmit the information relevant to the transmission goal.…”

Section: Introductionmentioning

confidence: 99%

Economics of Semantic Communication System in Wireless Powered Internet of Things

Liew¹,

Cheng²,

Lim³

et al. 2021

Preprint

View full text Add to dashboard Cite

The semantic communication system enables wireless devices to communicate effectively with the semantic meaning of the data. Wireless powered Internet of Things (IoT) that adopts the semantic communication system relies on harvested energy to transmit semantic information. However, the issue of energy constraint in the semantic communication system is not well studied. In this paper, we propose a semantic-based energy valuation and take an economic approach to solve the energy allocation problem as an incentive mechanism design. In our model, IoT devices (bidders) place their bids for the energy and power transmitter (auctioneer) decides the winner and payment by using deep learning based optimal auction. Results show that the revenue of wireless power transmitter is maximized while satisfying Individual Rationality (IR) and Incentive Compatibility (IC).

show abstract

The semantic communication game

Cited by 34 publications

References 11 publications

6G networks: Beyond Shannon towards semantic and goal-oriented communications

6G networks: Beyond Shannon towards semantic and goal-oriented communications

A Rate Distortion Approach to Goal-Oriented Communication

Economics of Semantic Communication System in Wireless Powered Internet of Things

Contact Info

Product

Resources

About