SEMIKHORN: Globally balanced affinities for mmWave Localization in MU mMIMO systems
arXiv 2606.06640•d4ccf429824397e3c1af890a3681dc48f755dae6a9974463363b1c0c5942cc98
CNNCSI-feedbackCSI-fusionCsiCoGenResNetSEMIKHORNTHzUAVadaptive-beamformingbayesian-optimizationcompressed-feedbackdiffusion-modelsentropic-optimal-transportgenerative-modelslocalizationmMIMOmmWavemulti-UAVmulti-agent-RL','MARL'radio-mapsemi-supervised-learningsparse-array-designsuperimposed-pilotst-SNEkhornvariational-bayes
Paper metadata
- arXiv ID
- 2606.06640
- Version
- Not specified by this published record
- Category
- Electrical Engineering and Systems Science — Signal Processing (eess.SP)
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Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- d4ccf429824397e3c1af890a3681dc48f755dae6a9974463363b1c0c5942cc98
- Enrichment time
- 2026-06-08T08:51:44Z
- AI-assisted enrichment
- Yes
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