Principle of Longbo lens antenna and its application in 5G communication system

Created on 03.11
  1. Principle of Luneburg lens antenna
The Luneburg Lens is a spherical dielectric lens with a gradual refractive index gradient, proposed by Rudolf Karl Luneburg in 1944.
Core structure and refractive index profile
• Shape: It is a perfect sphere, with structural/material parameters being completely symmetrical around the center of the sphere.
• Refractive index: Radial gradient, gradually decreasing from the center to the surface of the sphere.
Ideal formula: n(r) = \√(2−(r/R)²)
◦ r: Distance from the center of the sphere; R: Radius of the sphere; n(R)=1 (matched with air).
• Equivalent structure: resembling an onion, with multiple dielectric rings, each layer having a different dielectric constant, achieving gradient refraction.
Working principle (reversible optical path)
Transmission mode: A spherical wave is emitted from a feed source at a certain point on the sphere, and is refracted by a lens into a parallel plane wave (high-gain narrow beam).
Receiving mode: Incident plane waves from any direction are refracted by a lens and precisely focused onto corresponding points on the spherical surface.
Key features: omnidirectional focusing, multi-beam independence, interference-free, high gain, low sidelobe.
II. Application in 5G communication system
5G requires high gain, multi-beam, wide coverage, large capacity, low interference, cost reduction, and efficiency improvement, and the Longbo lens antenna perfectly fits these requirements.
5G macro/micro base station coverage
• High-gain narrow beam: It boasts higher gain, longer coverage, and stronger penetration compared to traditional panel antennas.
• Simultaneous multi-beam coverage: Multiple feed sources are arranged on the spherical surface to form independent multi-beams, which do not interfere with each other, doubling the capacity.
• Roof resource reuse: Single antenna supports multiple frequency bands/multiple standards (2G/3G/4G/5G), reducing the number of antennas and saving space.
Typical 5G scenario applications
• High-speed rail/expressway/tunnel/bridge (narrow and long coverage)
◦ Narrow beam + high gain, continuous coverage over long distances, reducing the number of base stations.
◦ Case: The Mudanjiang-Jiamusi High-Speed Railway achieves full 5G coverage, reducing 195 base stations and saving approximately 92 million yuan in costs over 10 years.
• High-density scenarios (campus/venue/residential area)
◦ Multi-beam precise coverage reduces co-channel interference and enhances capacity and user experience.
◦ Supports Massive MIMO and works in synergy with 5G air interface technology.
• Millimeter-wave 5G (24G/28G/39G, etc.)
◦ Due to the significant path loss of millimeter waves, the Longbo lens offers ultra-high gain to compensate for the loss and enhance coverage.
◦ Supports wide-angle beam scanning (up to 146°), adapting to the flexible coverage requirements of millimeter wave.
• Ultra-long-range coverage in oceanic/remote areas
◦ With a maximum coverage of 75km, it solves the coverage challenge in maritime areas/remote regions.
• Emergency communication/temporary hotspot
◦ Rapid deployment, multi-beam high-capacity, meeting the needs of high concurrency scenarios such as music festivals and events.
Core value (solving 5G pain points)
• Cost reduction and efficiency enhancement: Reduce the number of base stations and lower deployment/maintenance costs.
• Capacity enhancement: With multi-beam parallelism, the capacity is enhanced by several times.
• Coverage enhancement: Longer range, deeper penetration, and more continuous coverage.
• Interference suppression: narrow beam + high isolation, reducing co-channel/adjacent channel interference.
• Multi-frequency compatibility: Supports Sub-6G + mmWave, adapts to 5G full-band.
III. Summary
The Longbo lens antenna, which achieves omnidirectional focusing, multi-beam, and high gain through spherical gradient refractive index, is a key technology for 5G coverage/capacity/cost optimization and has been widely used in multiple scenarios on a large scale.
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