Channel AoA Estimation for Massive MIMO Systems Using One-Bit ADCs

Cited 3 time in webofscience Cited 0 time in scopus
  • Hit : 202
  • Download : 0
Although massive multiple-input multiple-output (MIMO) can enhance the overall system performance significantly, it could suffer from high cost and power consumption issues due to using a large number of radio frequency (RF) chains. Two different approaches are commonly exploited to overcome these issues. The first approach is using hybrid beamforming, which consists of analog and digital beamforming, to reduce the total number of RF chains. The second approach is adopting low-resolution analog-to-digital converters (ADCs) for each RF chain. For both approaches, channel estimation becomes a difficult task. This paper addresses the problem of channel angle of arrival (AoA) estimation in massive MIMO using both hybrid beamforming and one-bit magnitude-aided (OMA) ADCs. An iterative algorithm is developed to estimate the channel AoA, and the appropriate threshold per iteration is analyzed. Numerical results show that the proposed technique can achieve sufficient AoA estimation performance with practical values of the signal-to-noise ratio (SNR).
Publisher
KOREAN INST COMMUNICATIONS SCIENCES (K I C S)
Issue Date
2018-08
Language
English
Article Type
Article
Citation

JOURNAL OF COMMUNICATIONS AND NETWORKS, v.20, no.4, pp.374 - 382

ISSN
1229-2370
DOI
10.1109/JCN.2018.000053
URI
http://hdl.handle.net/10203/267355
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 3 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0