文件名称:energy_2012_2_30_40107
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From the figure, we observe that the performance
gap between ideal and realistic feedback
is much more pronounced for MU-MIMO compared
to SU-MIMO, which illustrates the
increased sensitivity of MU-MIMO with respect
to CSI accuracy. This is due to the fact that
more accurate CSI feedback helps to improve
the accuracy with which interference nulling can
be performed at the eNB and to better predict
the MU-CQIs, which are crucial for multi-user
scheduling [7]. While Fig. 1 sheds light on the
benefits that may be achieved with improved
CSI feedback accuracy, in practice a tradeoff
between improving downlink performance and
increasing uplink overhead needs to be struck.
In Rel-10, increasing the granularity of the feedback
codebooks was discussed but no agreement
gap between ideal and realistic feedback
is much more pronounced for MU-MIMO compared
to SU-MIMO, which illustrates the
increased sensitivity of MU-MIMO with respect
to CSI accuracy. This is due to the fact that
more accurate CSI feedback helps to improve
the accuracy with which interference nulling can
be performed at the eNB and to better predict
the MU-CQIs, which are crucial for multi-user
scheduling [7]. While Fig. 1 sheds light on the
benefits that may be achieved with improved
CSI feedback accuracy, in practice a tradeoff
between improving downlink performance and
increasing uplink overhead needs to be struck.
In Rel-10, increasing the granularity of the feedback
codebooks was discussed but no agreement
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energy_2012_2_30_40107.pdf