Uplink/downlink duality in massive MIMO systems with hardware impairments
Zarei S, Gerstacker W, Schober R (2016)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2016
Event location: Kuala Lumpur
ISBN: 978-1-4799-6664-6
Abstract
In this paper, we provide a new framework for the uplink/downlink duality in single-cell massive multiple-input multiple-output (MIMO) systems suffering from residual hardware impairments (HWIs) at the base station and the user terminals. Using the proposed duality, complex downlink optimization problems can be converted to equivalent dual uplink problems, which are easier to solve. As an example, we apply the proposed uplink/downlink duality to derive an HWI aware minimum mean square error (HWIA-MMSE) precoder, which minimizes the sum mean square error under a sum power constraint in a single-cell massive MIMO system with residual HWIs. Thereby, we use results from random matrix theory to derive an asymptotic expression for the downlink power allocation for large numbers of antennas, which only depends on the channel statistics and not on the individual channel realizations. Analytical results for the asymptotic achievable sum rate of the proposed HWIA-MMSE precoder for a large number of BS antennas are also provided. Our simulation and analytical results show that the proposed HWIA-MMSE precoder achieves a higher sum rate than the conventional regularized zero-forcing precoder for moderately large numbers of base station antennas.
Authors with CRIS profile
Shahram Zarei
Lehrstuhl für Digitale Übertragung
Wolfgang Gerstacker
Technische Fakultät
Robert Schober
Lehrstuhl für Digitale Übertragung
How to cite
APA:
Zarei, S., Gerstacker, W., & Schober, R. (2016). Uplink/downlink duality in massive MIMO systems with hardware impairments. In IEEE (Eds.), Proceedings of the 2016 IEEE International Conference on Communications (ICC). Kuala Lumpur, MY.
MLA:
Zarei, Shahram, Wolfgang Gerstacker, and Robert Schober. "Uplink/downlink duality in massive MIMO systems with hardware impairments." Proceedings of the 2016 IEEE International Conference on Communications (ICC), Kuala Lumpur Ed. IEEE, 2016.
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