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After some of its computers failed to cope with a leap second in 2005, Google, a search-engine firm, has begun running its computer clocks slowly for a short period before one is due, making the change gradual instead of instantaneous.
It adopts the average spectrum over a long-term window instead of instantaneous values of the spectrum.
Instead of instantaneous phase differences, the authors in [27] use phase differences between the short-term cross PSDs to estimate the DOA.
In these conditions, the average data rate demands over some interval of time can be used instead of instantaneous data rate demands.
As a consequence, the selection scheme proposed in [11] may work better when decisions are made based on location information instead of instantaneous but outdated CSI (localization variations are considerably slower than those induced by the wireless channel).
In this approximation, we consider average channels instead of instantaneous ones so that the channels now change from epoch to epoch, i.e., (h_{ji} tau) = mathbb {E}_{textbf {h}}[tilde {h}_{ji}(t)]), which includes shadowing, path loss, and antenna gain.
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In the conventional static mode, the MIMO mode changes depending on the average SNR instead of the instantaneous channel condition.
More precisely, we are interested in comparing the average total network rate instead of the instantaneous total network rate.
The choice of the backhaul rate and the active MTs is performed knowing only the average wireless rate instead of the instantaneous rate.
In this paper, we consider the distributed detection problem where only the channel fading statistics, instead of the instantaneous CSI, are available to the designer.
Instead of the instantaneous CSI, several works employ location information (i.e., the distance between the SU transmitter and the PU receiver corresponding to an observation equipment for the distance) for transmit power control.
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