Initial Beam Association in Millimeter Wave Cellular Systems: Analysis and Design Insights
Ahmed Alkhateeb, Young-Han Nam, Md Saifur Rahman, Jianzhong Zhang, and, Robert W. Heath Jr

TL;DR
This paper analyzes the impact of initial beam training on mmWave cellular network performance, introducing a new effective rate metric and providing design insights for beam training strategies.
Contribution
It develops a stochastic geometry-based model for initial beam association, incorporating training overhead, and compares pilot reuse and search strategies for optimal performance.
Findings
Exhaustive search with full pilot reuse performs nearly as well as perfect alignment.
Beam association significantly affects mmWave network performance.
Full pilot reuse is preferable unless beams are very wide or coherence time is very short.
Abstract
Enabling the high data rates of millimeter wave (mmWave) cellular systems requires deploying large antenna arrays at both the basestations and mobile users. The beamforming weights of these large arrays need to be tuned to guarantee sufficient beamforming gains. Prior work on coverage and rate of mmWave cellular networks focused mainly on the case when basestations and mobile users beamfomring vectors are perfectly designed for maximum beamforming gains. Designing beamforming/combining vectors, though, requires training which may impact both the SINR coverage and rate of mmWave cellular systems. This paper characterizes and evaluates the performance of mmWave cellular networks while accounting for the beam training/association overhead. First, a model for the initial beam association is developed based on beam sweeping and downlink control pilot reuse. To incorporate the impact of beam…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
