Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/123186
Title: Statistical Approaches for Initial Access in mmWave 5G Systems
Author: Parada Medina, Raúl
Soleimani, Hossein
Moretto, Federico
Tomasin, Stefano
Zorzi, Michele
Keywords: mmWave cellular system
algorithm
Markov chain
Issue Date: 8-Jul-2019
Publisher: Transactions on Emerging Telecommunications Technologies
Citation: Parada Medina, R., Soleimani, H., Moretto, F., Tomasin, S. & Zorzi, M. (2019). Statistical approaches for initial access in mmWave 5G systems. Transactions on Emerging Telecommunications Technologies, (), -. doi: 10.1002/ett.3683
Abstract: When a new user enters a cell in a mmWave cellular system, the beamforming directions must be identified to initiate communication, a procedure known as initial access (IA). However, users are more likely to enter from sorne directions than others (eg, along streets), and beamforming directions (eg, those affected by blockage) may never be used. We exploit the unequal distribution of the entrance direction to speed up the IA procedure, exploring more often the direc­tions wherein the probability of finding new users is higher. Two solutions are proposed: a memory-less random illumination (MLRI) algorithm and a statis­tical and memory-based illumination (SMBI) algorithm. While in MLRI, the direction to be explored is randomly generated according to an optimized dis­tribution, and independent of previously explored directions, in SMBI a precise exploration sequence is designed, thus we take into account previously explored directions. In the analysis, we include the movement of the user within the cell during the IA process, described by a Markov chain whose states correspond to the beamforming directions associated to the user position at a given IA explo­ration time. We assess the performance of the proposed methods in terms of average discovery time.
Language: English
URI: http://hdl.handle.net/10609/123186
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