{"id":"W4417281817","doi":"10.1109/pimrc62392.2025.11275403","title":"Exploring O-RAN Compression Techniques in Decentralized Distributed MIMO Systems: Reducing Fronthaul Load","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Telecommunications link; Quantization (signal processing); MIMO; Scalability; Wireless; Block (permutation group theory); Reduction (mathematics); Bit error rate","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000517043,0.0005117306,0.000376349,0.0002262203,0.000392913,0.0006385485,0.0004252091,0.0003805076,0.0009708988],"category_scores_gemma":[0.002115285,0.0001069433,0.00015861,0.000298927,0.0005901536,0.001019822,0.0006832458,0.000512525,0.0001517609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00032234,"about_ca_system_score_gemma":0.0004539782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009779871,"about_ca_topic_score_gemma":0.001662171,"domain_scores_codex":[0.9996516,0.00009279236,0.00001093609,0.00004936995,0.000146084,0.0000492747],"domain_scores_gemma":[0.9991841,0.0004516059,0.00009742439,0.0001139514,0.0001171006,0.00003586727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000426915,0.0002453368,0.002280584,0.0001498491,0.00004603608,0.0003069803,0.0002186459,0.6766745,0.1012963,0.02789365,0.0009605548,0.1895007],"study_design_scores_gemma":[0.00003282596,0.0003470346,0.0006750334,0.00002042417,0.00001699426,0.0001571521,0.0001055374,0.9681177,0.02274774,0.006350556,0.001409828,0.00001932967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2398055,0.0008921936,0.7481433,0.0003770837,0.00007177668,0.00007313744,0.00004073438,0.0003395772,0.01025672],"genre_scores_gemma":[0.9569967,0.0002412934,0.04178779,0.00008072925,0.0000311002,0.00001681991,0.00002113149,0.00001319019,0.00081127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009779871,"threshold_uncertainty_score":0.003247976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03199079814986573,"score_gpt":0.26534093859648,"score_spread":0.2333501404466143,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}