Fastening the Initial Access in 5G NR Sidelink for 6G V2X Networks
arXiv:2106.05716 · doi:10.1016/j.vehcom.2021.100402
Abstract
The ever-increasing demand for intelligent, automated, and connected mobility solutions pushes for the development of an innovative sixth Generation (6G) of cellular networks. A radical transformation on the physical layer of vehicular communications is planned, with a paradigm shift towards beam-based millimeter Waves or sub-Terahertz communications, which require precise beam pointing for guaranteeing the communication link, especially in high mobility. A key design aspect is a fast and proactive Initial Access (IA) algorithm to select the optimal beam to be used. In this work, we investigate alternative IA techniques to fasten the current fifth-generation (5G) standard, targeting an efficient 6G design. First, we discuss cooperative position-based schemes that rely on the position information. Then, motivated by the intuition of a non-uniform distribution of the communication directions due to road topology constraints, we design two Probabilistic Codebook (PCB) techniques of prioritized beams. In the first one, the PCBs are built leveraging past collected traffic information, while in the second one, we use the Hough Transform over the digital map to extract dominant road directions. We also show that the information coming from the angular probability distribution allows designing non-uniform codebook quantization, reducing the degradation of the performances compared to uniform one. Numerical simulation on realistic scenarios shows that PCBs-based beam selection outperforms the 5G standard in terms of the number of IA trials, with a performance comparable to position-based methods, without requiring the signaling of sensitive information.
References in corpus (10)
- The Road Towards 6G: A Comprehensive Survey
- A Tutorial on Beam Management for 3GPP NR at mmWave Frequencies
- Frequency Selective Hybrid Precoding for Limited Feedback Millimeter Wave Systems
- End-to-End Simulation of 5G mmWave Networks
- Millimeter Wave Cellular Networks: A MAC Layer Perspective
- Geometry-Based Vehicle-to-Vehicle Channel Modeling for Large-Scale Simulation
- Beamforming Tradeoffs for Initial UE Discovery in Millimeter-Wave MIMO Systems
- LIDAR Data for Deep Learning-Based mmWave Beam-Selection
- Millimeter Wave V2V Communications: Distributed Association and Beam Alignment
- Standalone and Non-Standalone Beam Management for 3GPP NR at mmWaves