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Full Downlink Channel Reconstruction using Incomplete Uplink Channel Measurements in Massive MIMO networks

Fedorov, Aleksei LU ; Zhang, Haibo; Sidorenko, Galina and Yang, Bo (2019) IFIP Networking 2019 Conference (NETWORKING 2019)
Abstract
While more and more antennas are integrated into a single mobile user equipment to increase communication quality and throughput, the number of antennas used for transmission is commonly restricted due to the concerns on hardware complexity and energy consumption, making it impossible to achieve the maximum channel capacity. This paper investigates the problem of reconstructing the full downlink channel from incomplete uplink channel measurements in Massive MIMO systems.
We present ARDI, a scheme that builds a bridge between radio channel and physical signal propagation environment to link spatial information about the non-transmitting antennas with their radio channels. By inferring locations and orientations of the non-transmitting... (More)
While more and more antennas are integrated into a single mobile user equipment to increase communication quality and throughput, the number of antennas used for transmission is commonly restricted due to the concerns on hardware complexity and energy consumption, making it impossible to achieve the maximum channel capacity. This paper investigates the problem of reconstructing the full downlink channel from incomplete uplink channel measurements in Massive MIMO systems.
We present ARDI, a scheme that builds a bridge between radio channel and physical signal propagation environment to link spatial information about the non-transmitting antennas with their radio channels. By inferring locations and orientations of the non-transmitting antennas from an incomplete set of uplink channels, ARDI can reconstruct the downlink channels for non-transmitting antennas. We derive closed-form solution to reconstruct antenna orientation in both single-path and multi-path propagation environments. The performance of ARDI is evaluated using simulations with realistic human movement. The results demonstrate that ARDI is capable of accurately reconstructing full downlink channels when the signal-to-noise ratio is higher than 15dB, thereby expanding the channel capacity of Massive MIMO networks. (Less)
Please use this url to cite or link to this publication:
author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Massive MIMO, orientation estimation, channel reconstruction, incomplete channel measurement, antenna orientation estimation, Dipole antennas, Radiation patterns
host publication
IFIP Networking 2019 Conference
pages
9 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IFIP Networking 2019 Conference (NETWORKING 2019)
conference location
Warsaw, Poland
conference dates
2019-05-20 - 2019-05-22
language
English
LU publication?
no
id
e88fe387-0b05-4a77-aa03-cb6011479b34
date added to LUP
2019-06-28 16:17:07
date last changed
2019-07-22 14:22:08
@inproceedings{e88fe387-0b05-4a77-aa03-cb6011479b34,
  abstract     = {While more and more antennas are integrated into a single mobile user equipment to increase communication quality and throughput,  the number of antennas used for transmission is commonly restricted due to the concerns on hardware complexity and energy consumption, making it impossible to achieve the maximum channel capacity. This paper investigates the problem of reconstructing the full downlink channel from incomplete uplink channel measurements in Massive MIMO systems. <br/>We present ARDI, a scheme that builds a bridge between radio channel and physical signal propagation environment to link spatial information about the non-transmitting antennas with their radio channels. By inferring locations and orientations of the non-transmitting antennas from an incomplete set of uplink channels, ARDI can reconstruct the downlink channels for non-transmitting antennas. We derive closed-form solution to reconstruct antenna orientation in both single-path and multi-path propagation environments. The performance of ARDI is evaluated using simulations with realistic human movement.  The results demonstrate that ARDI is capable of accurately reconstructing full downlink channels when the signal-to-noise ratio is higher than 15dB, thereby expanding the channel capacity of Massive MIMO networks.},
  author       = {Fedorov, Aleksei and Zhang, Haibo and Sidorenko, Galina and Yang, Bo},
  keyword      = {Massive MIMO,orientation estimation,channel reconstruction,incomplete channel measurement,antenna orientation estimation,Dipole antennas,Radiation patterns},
  language     = {eng},
  location     = {Warsaw, Poland},
  pages        = {9},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Full Downlink Channel Reconstruction using Incomplete Uplink Channel Measurements in Massive MIMO networks},
  year         = {2019},
}