Page 44 - Integrated Wireless Propagation Models
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22    C h a p t e r   O n e


                       0.2

                       0. 1 8
                       0. 1 6

                       0.14
                       0.12
                    IK                                                    -+-  K  =  3
                    /1   0.1                                              -- K  =  4

                       0.08                                               ...,._ K  =  7
                                                                          -- K  =  1 2
                       0.06

                       0.04
                       0.02
                         0
                        2nd tier               3rd tier              4th tier
               FIGURE 1.7.3.6  Reverse l i n k   without power control path loss exponent = 4, three sectors.


                  A simulator was built to give an exact C/I analysis. From this analysis, we can see
               that the coverage satisfaction percentage for a given C/ I varies with frequency reuse
               factor K and path loss exponent y. This is an important characteristic in designing a
               cellular system. Specifically, for a coverage satisfaction percentage of 94 percent, we
               need K = 3 only if a sectorized-cell system is used. Also, we can see that the first interfer­
               ing tier contributes the most to interference. We also give a conservative approximation

               of the inter e rence ratio ik for k =   2 and 3 (second and third tiers), one from a mathemat-
                       f
                                   1
               ical calculation and another from the simulation with uniformly distributed mobiles in
               the reverse link. We find that power control in the reverse link can improve C/I ratio
               satisfaction up to 45 percent.


          1.8   Propagation Fa i ng Models
                                d
               1.8.1  Rayleigh Fading Model-Short-Term Fading Model
               All statistical characteristics that are not functions of time are called "first-order
               statistics." For example, the average power, mean value, standard deviation, pdf, and
               cumulative probability distribution are all first-order statistics.
                                         a
                           C
               1.8. 1 . 1    The  D F   o f   r.(t) from  n   E Field Signal
               Assume that the E  field of the signal s(t) has two components, real and imaginary
               E  =  X1 + jY1, and X1 and Y1 are Gaussian with zero mean and variance one. Then the
               envelope of the signal is
                                                                                 (1.8.1.1)
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