**9. References**

300 Wireless Communications and Networks – Recent Advances

0 2 4 6 8 10 12 14 16 18

Average received SNR [dB]

Fig. 1.13 Comparison of adaptation policies over MRC diversity reception in the presence of

The nested infinite sums in (1.38) and (1.39), as can be seen from Table 1, for dual and triple

in this Table 1, the number of the terms need to be summed to achieve a desired accuracy, depends strongly on these parameters and it increases as these parameter values increase.

> = 5 dB

> = 5 dB

Table 1. Number of terms that need to be summed in (1.38) and (1.39) to achieve accuracy at

Cases when wirelless channels are affected by general and nonlinear fading distributions are disscused in this chapter. The analytical study of the *κ*-*μ* fading channel capacity, e.g., under the OPRA, ORA, CIFR and TIFR adaptation policies and MRC and SC diversity techniques is performed. The main contribution are closed-form expressions derived for the proposed adaptation policies and diversity techniques. Based on them, numerically obtained results are graphically presented in order to show the effects of various system parameters. Since *κμ* model as general physical fading model includes Rayleigh, Rician, and Nakagami-*m*  fading models, as special cases, the generality and applicability of this analysis are more than obvious. Nonlinear fading scenario is discussed in the similar manner, as an analytical

κ = 1 μ = 1 8 9 10 κ = 2 μ = 2 15 15 16

κ = 1 μ = 1 19 21 24 κ = 2 μ = 2 23 26 28

 OPRA adaptation policy ORA adaptation policy CIFR adaptation policy TIFR adaptation policy

> = 10 dB

> = 10 dB

= 15 dB

= 15 dB

. As it is shown

0

Expression (1.38) 6th significant digit

Expression (1.39) 6th significant digit

Weibull fading.

**7. Conclusion** 

1

2

3

MRC reception L=2

branch diversity case, converge for any value of the parameters *κ*, *μ* and

the specified significant digit for some values of system parameters.

= 2.5

4

Capacity per unit bandwith <C>/B [Bits/Sec/Hz]

5

6

7

