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Exact(36)
number of available RBs, 50 RB bandwidth, 180 kHz Thermal noise, dBm/Hz eNB transmit power per RB per sector, 29 dBm HeNB transmit power per RB, 3 dBm eNB antenna gain 14 dBi Sectors per eNB 3 Min.
where is the channel gain between UE and its serving HeNB or eNB, observed at receive antenna and at RB. Furthermore, accounts for thermal noise per RB, which is constant across all RBs.
All eNBs transmit with a fixed power per RB,, and all HeNBs transmit with a fixed power,, per RB.
The Min SINR per RB covariate is the minimum SINR perceived per RB.
N rb is the noise power per RB.
Additionally, per RB power constraint is also taken into account as in C4.
Similar(24)
Also, we are acquiring the history on a per-RB basis.
At the transmitter, the data of each RB, d l [k], k ∈ ℧, is precoded by G RB independently to form a per-RB precoded data s l [k].
Moreover, the per-RB-based processing nature of the polynomial interpolation method may lead to computational savings since for N total subcarriers and N ′ subcarriers per RB, the LMMSE method requires inversion of complex-valued matrices of size (frac {N}{N'}L), while the polynomial interpolators require inversion of real-valued Vandermonde matrices of size p where (p
Since the covariates can be combined on a per-RB basis or aggregated together in various ways (such as considering the minimum or the sum of SINRs over the band), the number of different combinations of covariates is very large.
In general, only advanced machine learning and regression techniques are able to benefit from more complex covariates, such as per-RB measurements, provided that a large enough sampling base is available (which was not the case for the 2RB + regressor).
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