Semantic communications

Key Research Areas & Activities

Theoretical Foundations & Frameworks

Predict and manage complex network traffic with delay constraints.
Extract, represent, and filter goal-specific semantic information at the source.

Semantic Networking Architecture

Moving from point-to-point SemCom systems to a multi-user, distributed, edge-to-cloud network.
This architecture must handle time-varying, deadline-constrained traffic flows to prevent network congestion.

Semantic-Aware Performance Metrics

Establishing new metrics infused with semantics to measure performance based on the effectiveness and relevance of the communicated information, rather than just bit accuracy.

Resource Optimization

Intelligently allocating computational and network resources is a core function of the proposed “effectiveness” layer, ensuring efficiency even when parts of the semantic data are irrelevant to the task.

Clearly define the
models that will
be used to encode
and decode information.

Incorporate redundancy
in communication
as a means to enhance
error detection and
correction capabilities.

Consider the range
of devices, platforms, and
systems that may be involved
in the network.
Develop semantic
coding methods that promote interoperability.

Establish proper
semantic knowledge representation to ensure consistency across
entities within the
communication network.

Integrate mechanisms
for filtering
to eliminate or minimize
semantic noise.

Design dynamic processes
for coding that
can adapt to changes
in the communication
environment over time.