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As real-world problems face many different kinds of uncertainties (due to noise, quantization, interference, and modeling errors, for example), it makes more sense to search for an acceptable solution rather than trying to find a single/unique solution, as in point estimation theory.
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A noise figure equation that takes into account the effects of the quantization noise and the interference signal that may be incurred by adjacent bands is also derived.
The purpose of the following SINR model is to define the effect of the sub-sampling, multipath, inter-symbol interference and quantization noise, in the reception error of a general MIMO system (not necessarily STBC).
Now, the maximum tolerable amount of additional inband interference IMAX, compared to the desired signal, the inband thermal noise and the inband quantization noise powers (S16-QAM + NTOT ), defines the needed interference rejection ratio demanded to fulfill the set SINRtarget.
signal-to-quantization noise ratio.
Besides, depending on the user location at the cell, the bit partitioning on the interfering BSs is also changed such as when the user is getting far from BS1, then the number of quantization bits to cancel interference caused by BS1 is also decreased.
QBC targets a minimal quantization error, thereby reducing the interference between users for the price of a reduced effective channel gain compared to MET.
The quantization operation is to mitigate the interference of lower layers, and the modulus operation can mitigate the interference of the upper layers by decoding and cancelation.
c This is due to the residual in-cell interference caused by the quantization error.
This resolution can then be decreased to study the effects of CSI quantization on the resource allocation and interference management.
This is because the user selection for conventional feedback and RVQ feedback cannot avoid large inter-user interference brought by channel quantization.
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