I. Atzeni, A. Tölli and G. Durisi, "Low-Resolution Massive MIMO Under Hardware Power Consumption Constraints," 2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021, pp. 432-436, doi: 10.1109/IEEECONF53345.2021.9723381.
Low-resolution massive MIMO under hardware power consumption constraints
|Author:||Atzeni, Italo1; Tölli, Antti1; Durisi, Giuseppe2|
1Centre for Wireless Communications, University of Oulu, Finland
2Chalmers University of Technology, Sweden
|Online Access:||PDF Full Text (PDF, 0.4 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2022070751374
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2022-07-07
We consider a fully digital massive multiple-input multiple-output architecture with low-resolution analog-to-digital/digital-to-analog converters (ADCs/DACs) at the base station (BS) and analyze the performance trade-off between the number of BS antennas, the resolution of the ADCs/DACs, and the bandwidth. Assuming a hardware power consumption constraint, we determine the relationship between these design parameters by using a realistic model for the power consumption of the ADCs/DACs and the radio frequency chains. Considering uplink pilot-aided channel estimation, we build on the Bussgang decomposition to derive tractable expressions for uplink and downlink ergodic achievable sum rates. Numerical results show that the ergodic performance is boosted when many BS antennas with very low resolution (i.e., 2 to 3 bits) are adopted in both the uplink and the downlink.
Asilomar Conference on on Signals, Systems & Computers
|Pages:||432 - 436|
2021 55th Asilomar Conference on Signals, Systems, and Computers
|Host publication editor:||
Matthews, Michael B.
Asilomar Conference on Signals, Systems, and Computers
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
113 Computer and information sciences
The work of I. Atzeni was supported by the Marie Skłodowska-Curie Actions (MSCA-IF 897938 DELIGHT). The work of A. Tölli was supported by the Academy of Finland (318927 6Genesis Flagship and 319059 CCCWEE). The work of G. Durisi was supported by the Wallenberg AI, Autonomous Systems, and Software Program.
|EU Grant Number:||
(897938) DELIGHT - Device-Centric Low-Complexity High-Frequency Networks
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
319059 (Academy of Finland Funding decision)
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