DocumentCode :
178670
Title :
Uplink performance of massive MIMO subject to delayed CSIT and anticipated channel prediction
Author :
Papazafeiropoulos, Anastasios K. ; Ratnarajah, Tharm
Author_Institution :
Inst. for Digital Commun., Univ. of Edinburgh, Edinburgh, UK
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
3162
Lastpage :
3165
Abstract :
We consider a realistic cellular multi-user uplink channel with an excess of base station (BS) antennas, where the number of BS antennas and the number of users per cell increase at the same rate. Specifically, we investigate the negative impact of delayed channel state information at the transmitter (CSIT), when a minimum-mean-square-error (MMSE) detector is applied. Nevertheless, channel prediction is used for overcoming delayed CSIT degradation. We provide the asymptotic signal-to-interference-plus-noise ratios (SINRs) that demonstrate not only their dependence on delayed and predicted CSIT, but also the outperformance of MMSE against maximal ratio combiner (MRC). The deterministic nature of the results renders them easily computed, while simulations show their accuracy even for practical system dimensions.
Keywords :
MIMO communication; cellular radio; diversity reception; mean square error methods; CSIT; MMSE detector; MRC; Uplink performance; anticipated channel prediction; asymptotic signal-to-interference-plus-noise ratio; base station antennas; cellular multi-user uplink channel; channel prediction; delayed channel state information at the transmitter; massive MIMO; maximal ratio combiner; minimum-mean-square-error detector; Antennas; Detectors; Doppler shift; Interference; MIMO; Signal to noise ratio; Uplink;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6854183
Filename :
6854183
Link To Document :
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