THE HYBRID STATE-SPACE NAVIGATION PARADIGM: ELIMINATING DIGITAL SIGNAL PROCESSING IN BAND-LIMITED WIRELESS CHANNELS
This paper introduces AxisAura Radio, a wireless communication architecture that redefines physical-layer data representation by shifting the core transmission mechanism from waveform-dependent algorithmic modulation to passive state-space coordinate navigation. Modern high-density wireless systems (Wi-Fi 7, 5G NR) optimize throughput via dense quadrature amplitude structures superimposed on Orthogonal Frequency-Division Multiplexing (OFDM). This methodology introduces an unsustainable computational overhead, demanding billions of operations per second executed by active Digital Signal Processing (DSP) architectures to resolve phase noise and multipath fading. AxisAura Radio completely bypasses the computational decoding pipeline. Utilizing the formalized 3=4 Principle, a 24-bit data segment is treated as a discrete spatial coordinate vector mapped bijectively into a four-dimensional orthogonal spectral grid (64^4 = 2^24). Operating under a strict band-limited constraint of 20 MHz within the sub-gigahertz spectrum (fc = 868 MHz), the system defines an equidistant grid of 64 slots with a channel spacing of delta_f = 312.5 kHz. This layout yields a Fourier-bounded pulse duration of tau = 3.2 microseconds, achieving a sustained deterministic goodput of 7.5 Mbit/s per spatial stream, with linear scaling achievable via spatial multiplexing. Characterized by a strict O(1) address resolution after analog settling complexity at the receiver, AxisAura eliminates active electronic demodulation, operating at less than 9% of the theoretical Shannon capacity limit (C_max = 133.16 Mbit/s under SNR = 20 dB). This structural back-off guarantees design-level immunity to Doppler shifts up to 100 km/h and multipath phase distortions, providing an energy-efficient, robust abstraction layer for industrial internet-of-things (IIoT) and long-range telemetry networks.
Authors
- Alexander A. Chepkasov
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-01
- DOI
- https://doi.org/10.5281/zenodo.22205282
- Primary Topic
- Millimeter-Wave Propagation and Modeling
- Type
- preprint