DocumentCode :
77860
Title :
Massive MIMO With Optimal Power and Training Duration Allocation
Author :
Hien Quoc Ngo ; Matthaiou, Michail ; Larsson, Erik G.
Author_Institution :
Dept. of Electr. Eng., Linkoping Univ., Linkoping, Sweden
Volume :
3
Issue :
6
fYear :
2014
fDate :
Dec. 2014
Firstpage :
605
Lastpage :
608
Abstract :
We consider the uplink of multicell multiple-input-multiple-output systems, where the base stations (BSs), which are equipped with massive arrays, simultaneously serve several terminals in the same frequency band. We assume that the BS estimates the channel from uplink training and then uses the maximum ratio combining technique to detect the signals transmitted from all terminals in its own cell. We propose an optimal resource allocation scheme that jointly selects the training duration, the training signal power, and the data signal power in order to maximize the sum spectral efficiency for a given total energy budget spent in a coherence interval. Numerical results verify the benefits of the optimal resource allocation scheme. Furthermore, we show that more training signal power should be used at low signal-to-noise ratios (SNRs) and vice versa at high SNRs. Interestingly, for the entire SNR regime, the optimal training duration is equal to the number of terminals.
Keywords :
MIMO communication; antenna arrays; antenna radiation patterns; channel allocation; channel estimation; diversity reception; frequency allocation; signal detection; wireless channels; BS; SNR; base station; channel estimation; data signal power; frequency band; massive MIMO array; maximum ratio combining technique; multicell multiple input multiple output system uplink; optimal resource allocation scheme; optimal training duration allocation; signal-to-noise ratio; sum spectral efficiency maximization; total energy budget; training signal power selection; transmitted signal detection; uplink training; Channel estimation; MIMO; Power distribution; Resource management; Signal to noise ratio; Uplink; Massive MIMO; pilots; power allocation; training;
fLanguage :
English
Journal_Title :
Wireless Communications Letters, IEEE
Publisher :
ieee
ISSN :
2162-2337
Type :
jour
DOI :
10.1109/LWC.2014.2359220
Filename :
6905766
Link To Document :
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