import { Innovation, Classification } from './types'; export const WORKING_GROUPS = ['SA1', 'SA2', 'SA3', 'SA4', 'SA5', 'SA6', 'RAN1', 'RAN2']; export const MEETINGS = ['Dallas (Nov 2024)', 'Maastricht (Aug 2024)', 'Jeju (May 2024)', 'Athens (Feb 2024)']; export const MOCK_INNOVATIONS_POOL: Omit[] = [ { problem_id: "CP-882", context: "Satellite integration in 5G Non-Terrestrial Networks (NTN)", problem_statement: "High latency variations in LEO satellite constellations cause handover failures during fast UE movement.", innovation_potential: "Proposes a predictive QoS-based handover trigger that utilizes satellite ephemeris data to pre-allocate resources.", source_reference: "TR 38.821 Sec 4.2", }, { problem_id: "CP-901", context: "XR/VR Traffic handling in RAN", problem_statement: "Current semi-persistent scheduling (SPS) does not account for jitter inherent in cloud-rendered VR frames.", innovation_potential: "Introduces a frame-aware scheduling buffer that aligns grants with application-layer frame boundaries.", source_reference: "TS 38.300 Sec 12", }, { problem_id: "CP-112", context: "Sidelink positioning for V2X", problem_statement: "GPS unavailability in urban canyons degrades V2X safety application reliability.", innovation_potential: "Utilizes cooperative ranging between vehicles using relative signal strength and RTT to establish local relative positioning.", source_reference: "TR 38.885 Sec 6.1", }, { problem_id: "CP-445", context: "Network Energy Saving", problem_statement: "Sleep mode transitions for gNBs are too slow to react to bursty IoT traffic.", innovation_potential: "AI-driven traffic prediction model resident at the DU to trigger micro-sleep states.", source_reference: "TS 28.310 Sec 5", }, ]; export const COLOR_MAP: Record = { [Classification.UNCLASSIFIED]: '#94a3b8', [Classification.DELETE]: '#ef4444', [Classification.LOW]: '#3b82f6', [Classification.MEDIUM]: '#eab308', [Classification.HIGH]: '#22c55e', };