A Comprehensive Survey on Semantic Communication in Non-Terrestrial Networks: Architectures, Methodologies, and Challenges

2026-06-05T08:51:45Zce4f51ca8c2538ead50aa29f375bc4d8af255f3638ca87ff3b984315c65bd823
HAPSISaCMIMONTNRBGReed-Solomon-repairSAGINUAVX-bandbeamformingclassical-MACcoding-theorydeep-unfoldingentanglement-assisted-capacitygenerative-aiintegrated-sensing-and-communicationsnon-terrestrial-networksquantum-entanglementresource-allocationsatelliteschedulingsemantic-commssemantic-communicationsequence-reconstructionsubstitution-channels

What happened

This batch of arXiv submissions (June 05, 2026) covers advances across communications, coding, and ML for information theory. Highlights include a broad survey mapping semantic communication (SemCom) techniques to limitations of non-terrestrial networks (NTNs) (satellite/UAV/HAPS/SAGIN); a deep-unfolding approach (P‑Net/K‑Net) for joint beamforming and RBG scheduling in multi-cell MIMO that accelerates convergence while keeping provable guarantees; UAV X‑band integrated sensing-and-communications (ISaC) time-allocation optimization for vehicular networks; and a surprising information‑theoretic

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_math_it
Record identifier
ce4f51ca8c2538ead50aa29f375bc4d8af255f3638ca87ff3b984315c65bd823
Enrichment time
2026-06-05T08:51:45Z
AI-assisted enrichment
Yes

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