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Concerning the asymptotic case, we show that the UL achievable rate is a monotonically increasing function of pilot power, and also depends on the time allocation between pilot and data.
However, this loss is usually not severe and the relatively broad maximum indicates a high robustness against inaccurate power distribution between pilot and data symbols.
In [1], the authors derived the optimal power distribution between pilot and data symbols for time-invariant channels under imperfect channel knowledge.
The optimal power allocation between pilot and data that maximizes a lower bound of the maximum mutual information criterion has been provided.
In[4], Ghogho and Swami proposed to introduce a distortion to the data symbols, prior to adding the known pilot in such a way to guarantee the orthogonality between pilot and data sequences.
Authors of [6] investigated power allocations between pilot and data symbols for MIMO systems using the post-equalization signal-to-interference and noise ratio (SINR) as an optimization function.
Similar(48)
Therefore, using sufficiently long guard intervals, the ISI between pilots and data is completely eliminated [19], thereby simplifying the channel estimation procedure.
We also determine, for both schemes, the optimal allocation of power between the pilot and data that minimizes the BER.
Therefore, it is necessary to find an optimal power allocation between the pilot and data subcarriers which delivers a maximized system performance.
The analytical error probabilities of the receivers are expressed as functions of a number of system parameters, such as the maximum Doppler spread, the percentage of pilot symbols for channel estimation, the energy allocation between the pilot and data symbols, etc.
To optimally distribute power between pilot symbols and data subcarriers, we can also modify the method in[11, 14] depending on the data transmission scheme.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com