Channel estimation and analog beam selection for uplink multiuser hybrid beamforming system

Young Chai Ko, Myeong Jin Kim

    Research output: Contribution to journalArticlepeer-review

    8 Citations (Scopus)

    Abstract

    This paper considers an uplink multiuser hybrid beamforming system where a base station (BS) communicates with multiple users simultaneously. The performance of the uplink multiuser hybrid beamforming system depends on the effective channel which is given by the product of channel matrix and the analog beams. Therefore, to maximize the performance, we need to acquire information of the channels and select the appropriate analog beams from the set of predefined analog beams. In this paper, we propose the channel estimation methods and analog beam selection algorithm for the uplink multiuser hybrid beamforming system. First, we design the estimation methods to exploit the channel information of the users by considering Rayleigh fading and millimeter wave (mmWave) channel models. Then, using the estimated channel information, we propose a low-complexity analog beam selection algorithm for the uplink multiuser hybrid beamforming system. We compare the complexity to show that the proposed analog beam selection algorithm has much less complexity than the exhaustive search-based optimum analog beam selection while the performance loss of the proposed analog beam selection algorithm is not significant compared to the optimum analog beam selection, which is shown by the numerical results.

    Original languageEnglish
    Article number155
    JournalEurasip Journal on Wireless Communications and Networking
    Volume2016
    Issue number1
    DOIs
    Publication statusPublished - 2016 Dec 1

    Bibliographical note

    Publisher Copyright:
    © 2016, Ko and Kim.

    Copyright:
    Copyright 2017 Elsevier B.V., All rights reserved.

    Keywords

    • Analog beamforming
    • Digital beamforming
    • Low complexity
    • Uplink multiuser hybrid beamforming

    ASJC Scopus subject areas

    • Signal Processing
    • Computer Science Applications
    • Computer Networks and Communications

    Fingerprint

    Dive into the research topics of 'Channel estimation and analog beam selection for uplink multiuser hybrid beamforming system'. Together they form a unique fingerprint.

    Cite this