127 Applications of MOC Multi-Origin High-Dimensional Geometry in Earth–Moon Satellite Networking

Bosley Zhang
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2026/04/26
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2 mins read


Applications of MOC Multi-Origin High-Dimensional Geometry in Earth–Moon Satellite Networking

1. Pain Points

At a distance of 380,000 kilometers, the Earth–Moon system contains multiple gravitational centers, including the Earth, the Moon, and the Lagrange points. Traditional single-origin networking models cannot simultaneously characterize multi-center gravitational bending and Doppler distortion, leading to unstable relay routing, poor coverage of the lunar far side, and inefficient resource scheduling.

2. Direct MOC Mapping

- MOC space \mathbb{M}^3_k: origins O_i = Earth, Moon, L1, L2, L4, L5, etc. (k\ge 6).
- Lattice set \mathcal{G}: all Earth-orbiting / Moon-orbiting satellites, relay satellites, and space stations.
- Curvature coupling coefficient (metric of link distortion):
\Omega_i = \exp\!\left(-\frac{1}{|\mathcal{G}|}\sum_{(x,y)\in\mathcal{E}}(1-\cos\theta_i)\right)


where \theta_i is the geodesic deviation angle caused by the gravitational field of origin i.
- Generalized permutations (ordered relay paths):
\mathbb{A}_{n,k}^s = A_n^s \prod_{i=1}^k \Omega_i

- Generalized combinations (constellation topological configurations):
\mathbb{C}_{n,k}^s = C_n^s \sqrt{\sum_{i=1}^k \Omega_i^2}


3. Three Engineering Applications

Application Traditional Difficulties MOC Solution Expected Effect
Relay routing across Lagrange points Frequent handovers, cumulative distortion Path optimization by maximizing   Outage probability ↓ 60%
Lunar far side / polar region coverage Slow orbital optimization simulation Candidate configuration ranking by   Computing speed ↑ 100×
Global resource scheduling NP-hard problem Normalized total   as capacity upper bound Utilization → 75%+

4. Development Roadmap

- Short term (1–3 years): Embed MOC curvature modules in relay satellite missions for validation.
- Medium term (3–7 years): Establish industry simulation standards.
- Long term (10+ years): Drive pure mathematics to adopt MOC multi-origin combinatorics.

5. Conclusion

The essential bottleneck of Earth–Moon networking is the mismatch between single-origin geometry and the multi-center gravitational physical space. MOC multi-origin high-dimensional geometry provides a rigorous, lightweight, and unified mathematical framework, advancing from engineering implementation to theoretical establishment.

 

One-sentence summary:
Using MOC curvature coefficients and generalized permutation–combination formulas, we directly compute Earth–Moon link distortion, optimize paths, and refine constellations — dozens of times faster than traditional methods and more consistent with the real gravitational field.


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