A

Location-Aided Beamforming in Mobile Millimeter-Wave Networks

IEEE Vehicular Technology Conference, pp. 1–7

Abstract

Due to the large bandwidth available, millimeter-Wave (mmWave) bands are considered a viable opportunity to significantly increase the data rate in cellular and wireless networks. Nevertheless, the need for beamforming and directional communication between the transmitter and the receiver increases the complexity of the channel estimation and link establishment phase. Location-aided beamforming approaches have the potential to enable fast link establishment in mmWave networks. However, these are often very sensitive to location errors. In this work, we propose a beamforming algorithm based on tracking spatial correlation of the available strong paths between the transmitter and the receiver. We show that our method is robust to uncertainty in location information, i.e., location error and can provide a reliable connection to a moving user along a trajectory. The numerical results show that our approach outperforms benchmarks on various levels of error in the location information accuracy. The gain is more prominent in high location error scenarios.

Authors 4

  1. KTH Royal Institute of Technology

    Affiliation as printed

    KTH Royal Institute of the Technology,School of EECS,Stockholm,Sweden

    School of EECS, KTH Royal Institute of the Technology, Stockholm, Sweden

  2. Ericsson (Sweden)

    Affiliation as printed

    Ericsson Research,Sweden

    Ericsson Research, Sweden

  3. KTH Royal Institute of Technology

    Affiliation as printed

    KTH Royal Institute of the Technology,School of EECS,Stockholm,Sweden

    School of EECS, KTH Royal Institute of the Technology, Stockholm, Sweden

  4. KTH Royal Institute of Technology · RWTH Aachen University

    Affiliation as printed

    KTH Royal Institute of the Technology,School of EECS,Stockholm,Sweden

    RWTH Aachen University, Germany

    School of EECS, KTH Royal Institute of the Technology, Stockholm, Sweden

Cited by 9 stored of 9

9 results

No patents citing this paper on Lens.org (checked 2026-10-06).

References 26