Page 189 - Kaleidoscope Academic Conference Proceedings 2021
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Connecting physical and virtual worlds




           Assuming  that  the  CIR  on subcarrier k at the moment t is   The power distribution of multiple time-delay propagation
           h(k, t) in  the 5G NR  system,  where the value  range of   paths  is obtained  by Equation  (6),  and the channel  peak
           subcarrier k is k = 0,1,2, . . . ,6N RB  − 1.  Using  the  Inverse   response ratio  in  the time  domain can be obtained  by
           Fast  Fourier  Transform  (IFFT),  we  can obtain  the  CIR   Equation (8):
           h(τ, t) in the time domain as Equation (4).
                                                                                    max�P(i,t)�
                                                                              γ(t) =  N P −1                            (8)
                       h(τ, t) = IFFT(h(k, t), N IFFT )              (4)            ∑ i=0  P(i,t)
           Where N IFFT  is the IFFT-point. The CIR energy in the time   The peak path can be considered as the main path, where
           domain is calculated by Equation (5).              the  power ratio  of the main path signal to the received
                                                              signal is calculated. For the LOS propagation environment,
                           P(τ, t) = |h(τ, t)|                         (5)   the  channel  power  peak  response ratio will be  relatively
                                         2
                                                              large, close to 1. For the NLOS propagation environment,
           Assuming that the transmitted signal has one antenna port,   the  channel  power  peak  response ratio will be  relatively
           and then  P(τ, t)  has only one  peak. Then  we pick  out   small, and the richer the multipath, the smaller the value.
           several energy points near the peak as Equation (6)
                                                              2.4   Channel time correlation characteristic
                   P(i, t) = Ϝ[P(τ, t)], i = 0,1,2, . . . , N − 1     (6)   The time-varying characteristics of the channel are caused
                                               P
                                                              by the relative motion between the mobile station and the
           where Ϝ[ ∙ ] represents the windowing operation around the   base station. The Doppler spread and the correlation time
           peak. How many energy points before and after power peak   are the two parameters of the channel frequency dispersion
           in the time domain should we take? In a 4G or 5G system,   and the time-varying characteristic. The Doppler spread is
           the Cyclic  Prefix (CP)  is  added to alleviate the  Inter-  used as a channel feature to distinguish different scenarios
           Symbol Interference (ISI)  caused by  the multipath delay.   in [14]. In this paper, we use CIR correlation characteristics
           Therefore, the multipath delay spread is mostly distributed   in the time domain to distinguish different speeds of mobile
           within the CP length. So N  is not less than the CP length.    station.
                                P
           In order to  combine  with a  neural network,  Equation  (6)   Assuming that h(k, s, t) is the CIR on subcarrier k and pilot
           needs to be normalized as Equation (7).            symbol s at the moment t. Here k is  the subcarrier  index,
                                                                                  − 1. Here s is the  symbol index,
                           P(i,t)                             and k = 0,1,2, . . . ,6N RB
                  P �(i, t) =    i = 0,1,2, . . . , N − 1         (7)   and s = 0,1. Then the time correlation value of CIR on two
                                             P
                         max�P(i,t)�
                                                              pilot symbols can be calculated by Equation (9).
           Then P �(i, t)  can characterize the  energy  distribution of
                                                                      1
           multiple delay propagation paths, and it is also the channel   β(t) =  6N RB −1  ∑ 6N RB −1 �conj�h(k, s = 0, t)� ∙ h(k, s = 1, t)�  (9)
                                                                           k=0
           characteristic in the time domain in this paper. The larger
           the number of  IFFT points,  the higher  the  resolution of   The CIR power on the two pilot symbols is obtained by
           multiple delay paths, and the smaller the number of IFFT   Equation (10) and Equation (11) respectively.
           points, the lower the resolution of multiple delay paths.
                                                                             1    6N RB −1 |h(k, s = 0, t)|        (10)
                                                                                                    2
           2.3   Channel power peak  response  ratio  in  time      P (t) =  6N RB −1  ∑ k=0
                                                                     1
                 domain
                                                                             1    6N RB −1
                                                                                                    2
                                                                    P (t) =      ∑ k=0  |h(k, s = 1, t)|        (11)
                                                                     2
           When there are obstacles  between the transmitter  and          6N RB −1
           receiver, the  wireless signal can only  reach through the   In order  to  combine  with a  neural network,  the  time
           scattering,  diffraction and reflection paths. This  kind  of   correlation value of the CIR needs to be normalized, as in
           propagation environment is called NLOS. But if there is a   Equation (12).
           direct path,  it is  called LOS.  The signal strength  value  is
           used to distinguish LOS/NLOS in [6] and [7]. In [10], some                        2
           parameters such as Rician-K factor, kurtosis of the received      β norm (t) =  real[β(t)]                       (12)
           power,  skewness of the received  power  and angle                           P 1 ∙P 2
           information are  used as the  basis for distinguishing   The correlation value can characterize the channel change
           LOS/NLOS. Here  the high-order characteristics of the   caused by speed, and the phase of the correlation value can
           signal power are needed to calculate for the kurtosis and the   also characterize the Doppler frequency offset, which  can
           skewness, and which is extremely challenging for hardware   be obtained by Equation (13).
           implementation.  In this paper, the  channel  peak response
           ratio  in  the time  domain is used as the basis  for                    angle�β(t)�
           distinguishing LOS/NLOS.                                           φ(t) =   π                             (13)







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