Spectral efficiency in large-scale MIMO-OFDM systems with per-antenna power cost

Ng DWK, Schober R (2012)


Publication Type: Conference contribution

Publication year: 2012

Journal

Pages Range: 289-294

Conference Proceedings Title: Conference Record - Asilomar Conference on Signals, Systems and Computers

Event location: Pacific Grove, CA US

ISBN: 9781467350518

DOI: 10.1109/ACSSC.2012.6489009

Abstract

In this paper, resource allocation for multipleinput multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) downlink networks with large numbers of base station antennas is studied. Assuming perfect channel state information at the transmitter, the resource allocation algorithm design is modeled as a non-convex optimization problem which takes into account the joint power consumption of the power amplifiers, antenna unit, and signal processing circuit unit. Subsequently, by exploiting the law of large numbers and dual decomposition, an efficient suboptimal iterative resource allocation algorithm is proposed for maximization of the system capacity (bit/s). In particular, closed-form power allocation and antenna allocation policies are derived in each iteration. Simulation results illustrate that the proposed iterative resource allocation algorithm achieves a close-to-optimal performance in a small number of iterations and unveil a trade-off between system capacity and the number of activated antennas: Activating all antennas may not be a good solution for system capacity maximization when a system with a per antenna power cost is considered. © 2012 IEEE.

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How to cite

APA:

Ng, D.W.K., & Schober, R. (2012). Spectral efficiency in large-scale MIMO-OFDM systems with per-antenna power cost. In Conference Record - Asilomar Conference on Signals, Systems and Computers (pp. 289-294). Pacific Grove, CA, US.

MLA:

Ng, Derrick Wing Kwan, and Robert Schober. "Spectral efficiency in large-scale MIMO-OFDM systems with per-antenna power cost." Proceedings of the 46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012, Pacific Grove, CA 2012. 289-294.

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