Rate-Splitting Multiple Access Enabled Probabilistic Semantic Communication in UAV Networks
2026-07-01T08:51:49Z•0f3ae581665ee739ba1294ea55af180838b3580248efe9bdfa760397426ee0e7
6GPGUDAQSAoIRSMASWEOTHUNDERUAVbackscattercell-free massive MIMOcross-modal knowledge distillationdeep unfoldingdomain adaptationenergy optimizationfinite blocklengthfoundation modelsfronthaulhypernetworkmixed-precision quantizationoptical fronthaul energy modelphase-driftprobabilistic knowledge graphsEMGsemantic communicationsemantic compressiontransformer
What happened
This silver document aggregates recent arXiv submissions (Jul 1 2026) focused on semantic-aware and resource-efficient wireless/edge systems for 6G and related sensing tasks. Key contributions include: (1) a UAV downlink semantic-communication framework using probabilistic knowledge graphs (PKGs) and rate-splitting multiple access (RSMA) with a semantic-aware weighted energy optimization (SWEO) algorithm jointly optimizing UAV trajectory, power, beamforming and semantic compression — showing superior energy efficiency and semantic preservation vs. RSMA/NOMA/SDMA; (2) a new metric Quantized-Sem
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- 0f3ae581665ee739ba1294ea55af180838b3580248efe9bdfa760397426ee0e7
- Enrichment time
- 2026-07-01T08:51:49Z
- AI-assisted enrichment
- Yes
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