In complex situations where other dimensions also vary, there is a trade-off between sensitivity and robustness, so the optimal code is not the most sensitive one (Brette, 2010).
Thus, for a given operating SNR, we can obtain the optimum rotation angle in Figure 7 and the optimal code rate in Figure 8. Furthermore, we can get the relationship between code rate R and optimal rotation angle, which is shown in Figure 9 for QPSK and 16QAM.
With the optimal coding rate known, we can select the segment with most closest coding rate.
The code designs are based mainly on the rank and the determinant criteria, and the optimal rotation angle π/6 can provide full diversity and the optimal coding gain.
Based on the estimated transmission rate, we can determine the optimal coding rate we should request.
We refer the reader to [24] for more details on the optimal coding scheme for MAC.
The expression -log px exactly gives the length of an optimal code for message x and as such formalizes the old intuition that codes are more efficient when frequent letters get shorter representations (see 3.2 Optimal codes ).
With hindsight many notions that have to do with optimal code systems, ideal languages and the association between computing and processing language have been recurrent themes in the philosophical reflection since the seventeenth century.
We show how to obtain the optimal adjustable code matrices in the SAS.
The optimal RS code we should choose in this scenario should be RS 7,5).
