ISACOrchestrator AI-Driven Beam Scheduling & Radar Orchestration

ISACOrchestrator formalizes artificial intelligence beam scheduling, deep reinforcement learning resource allocation, dynamic preamble interleaving, and multi-agent game-theoretic co-channel mitigation.

ISACOrchestrator AI-Driven Beam Scheduling Stack

ISAC Core: Orchestrator Core — Deep RL Beam Scheduler & Game-Theoretic CoMP

6G ISAC Nodes & Beamforming Subsystems

Deep RL Beam Allocator
Preamble Interleaving Engine
Predictive Trajectory Forecaster
Nash Equilibrium CoMP Arbiter
Microsecond FPGA Dispatcher

Architectural Layers & Waveform Pipelines

Layer 1: Dual-Functional Waveform & Baseband (OTFS / OFDM-Radar / Fractional Fourier Transform / Ambiguity Function): Orthogonal Time Frequency Space (OTFS) modulation and fractional chirp synthesis achieving zero inter-carrier interference under severe Doppler spreads.
Layer 2: Massive MIMO & Beamforming Frontends (140 GHz D-Band / True-Time-Delay (TTD) / Hybrid Analog-Digital Beamforming): Sub-THz active phased array architectures with true-time-delay beam-squint mitigation, simultaneous communication data beams and pencil radar tracking lobes.
Layer 3: Radar Signal Processing & 4D Point Cloud (2D-FFT Range-Doppler / MUSIC AoA / CFAR Detection / Micro-Doppler Extraction): Sub-decimeter range and velocity resolution, constant false-alarm rate (CFAR) detection, and micro-Doppler biomechanical gait and drone propeller classification.
Layer 4: Network Sensing Orchestration & 3GPP Rel-19 (3GPP Rel-19 ISAC Core / Sensing Function (SF) / Reconfigurable Intelligent Surfaces (RIS)): Cell-free collaborative radar networks, dynamic time-frequency resource allocation balancing communication SLA against radar revisit time.

Sensing Telemetry & Benchmarks: <5 cm (Range Resolution) | 0.1 m/s (Velocity Precision) | <10 ms (Radar Frame Latency) | 3GPP Rel-19 (Global Standard)

Deep Reinforcement Learning & Beam Scheduling in ISACOrchestrator

Steering massive MIMO phased array beams in microsecond intervals between communicating smartphones and high-speed moving vehicles requires lightning-fast AI decisions. ISACOrchestrator delivers the intelligent control plane that orchestrates beam trajectories and radar duty-cycles.

Core Engineering Areas

Deep Reinforcement Learning for Dynamic Beam Scheduling — Neural network policy agents scheduling phased array beam directions at sub-millisecond intervals to maximize joint communication and radar performance.
Radar Duty-Cycle Scheduling and Frame Interleaving — Micro-scheduling architectures interleaving dedicated radar chirps within standardized 6G communication subframes without breaking channel decoding.
Multi-Agent Game-Theoretic Co-Channel Coordination — Multi-agent coordination protocols preventing adjacent base stations from blinding each other when sweeping identical spectrum bands.