Beam Assignment involves the dynamic and strategic allocation of communication beams within a wireless network. This process optimizes spectrum utilization, improves user-centric communication, and enhances the overall performance and efficiency of the network. This is especially relevant in the era of advanced wireless technologies like 5G, where where beamforming and beam steering techniques are employed to optimize the transmission of signals between base stations and user devices.


SpaceBeam: LiDAR-Driven One-Shot mmWave Beam Management

mmWave 5G networks promise to enable a new generation of networked applications requiring a combination of high throughput and ultra-low latency. However, in practice, mmWave performance scales poorly for large numbers of users due to the significant overhead required to manage the highly-directional beams. We find that we can substantially reduce or eliminate this overhead by using out-of-band infrared measurements of the surrounding environment generated by a LiDAR sensor. To accomplish this, we develop a ray-tracing system that is robust to noise and other artifacts from the infrared sensor, create a method to estimate the reflection strength from sensor data, and finally apply this information to the multiuser beam selection process. We demonstrate that this approach reduces beam-selection overhead by over 95% in indoor multi-user scenarios, reducing network latency by over 80% and increasing throughput by over 2× in mobile scenarios.