Statistical Approaches for Initial Access in mmWave 5G Systems

TL;DR

This paper introduces statistical and memory-aware scanning strategies for initial access in mmWave 5G systems, aiming to reduce discovery time by leveraging user entrance patterns and movement statistics.

Contribution

It proposes two novel algorithms, MLRI and SMBI, that incorporate entrance statistics and memory to optimize beam scanning during initial access.

Findings

MLRI reduces average discovery time compared to uniform scanning.

SMBI further improves performance by using deterministic, statistic-based sector scanning.

Both methods outperform traditional approaches in simulated scenarios.

Abstract

mmWave communication systems overcome high attenuation by using multiple antennas at both the transmitter and the receiver to perform beamforming. Upon entrance of a user equipment (UE) into a cell a scanning procedure must be performed by the base station in order to find the UE, in what is known as initial access (IA) procedure. In this paper we start from the observation that UEs are more likely to enter from some directions than from others, as they typically move along streets, while other movements are impossible due to the presence of obstacles. Moreover, users are entering with a given time statistics, for example described by inter-arrival times. In this context we propose scanning strategies for IA that take into account the entrance statistics. In particular, we propose two approaches: a memory-less random illumination (MLRI) algorithm and a statistic and memory-based illumination (SMBI) algorithm. The MLRI algorithm scans a random sector in each slot, based on the statistics of sector entrance, without memory. The SMBI algorithm instead scans sectors in a deterministic sequence selected according to the statistics of sector entrance and time of entrance, and taking into account the fact that the user has not yet been discovered (thus including memory). We assess the performance of the proposed methods in terms of average discovery time.