Page 70 - ITU Journal Future and evolving technologies – Volume 2 (2021), Issue 2
P. 70

ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 2






                                                               dinates represent the values for the other metrics. As a

                                   !()    $                    reference, the complete list of values are presented in Ta‑
                               !  ) !    
  $          
  
      -  ble 5 along with the link state between each TX‑RX pair.
             #* ,           
 -  	         % '  (!% ' (!#! % +    	  #* ,%    
    Consistently with the results for the sample scenarios in



                                                               Fig. 2, we observe that the metrics other than the nRMS‑
                                  !%() #& "
                                                               AS exhibit completely different trends than the EMR. Only


                                                               nRMS‑AS follows the same trend as the EMR both in LOS


                                                               Section  2.2,  it  is  not  possible  to  extract  any  information
                                                               and  NLOS  scenarios. However,  as  already  discussed in

                                                               about the number of alternate paths from the nRMS‑AS.
                                                               Comparing the metrics for the LOS and NLOS scenarios,

                            
        %
                                                               it can be seen that the EMR (as well as the nRMS‑AS) is
                                 )'!
                                                               lower for the NLOS cases as expected. On the other hand,
                                 (a)
                                                               all  the  other metrics return  higher values  for the  NLOS




                                                               measurements, making it misleading to interpret the re‑

                                                               sults in terms of effective multipath richness of the channel.

                                                                 %  Among the LOS measurements in Fig. 7(a), location RX14
              " $    
        %                            " $          returns the highest values for the RMS‑AS and ASC met‑





                                                               rics, which  can  be  credited to  the  relatively  long  TX‑RX
                                                               separation  distance  and  the  re lections from the  ceiling





                                                               and  the  surrounding walls.  The multipath  component

                                                  #            powers become comparable as the TX‑RX separation dis‑
                                     !
                                                               tance increases and there are strong re lections from the


                                                               ceiling  and  walls,  increasing the  spatial  diversity  of  the


                                                               paths.  The same  result  can  be  observed for TX2‑RX12




                                 !


                                                               and  TX2‑RX8  (see Table  5),  where the  TXs  and  RXs  are
                                 (b)                           placed at different  loors and there is a ceiling above the
                                                               RXs.  However,  when  the  goal  is  to  capture  the  effective
          Fig. 7 – The metrics evaluated based on the scenarios where the TX is lo‑


                                                               multipath  richness and  resilience of the  paths  to  block‑

          cated at TX1 with (a) RXs in LOS with the TX1, and (b) RXs in NLOS



          with  the  TX1.  The  EMR  values  are  calculated  using  the  following   ages,  both  the  RMS‑AS  and  ASC  fail.  The trends for the
                        ∘
          parameters:       = 20 ,     min = −60 dBm,    = 0.4.  two metrics are almost the opposite of the EMR both for


                                                               the LOS and NLOS scenarios.

                ∘



          {0.1,  20 ,  −60 dBm},   the EMR  is equal  to 2.42, which

          means that, in addition to the LOS path,  there are at   4.3 Evaluation of EMR for different parameter










          least two well‑separated paths with power above the re‑    settings






          quired minimum. This is because, from  (14), the value











          of a backup path  can be equal  to at  most 1 so one can   Next,  we  evaluate  the  EMR  metric  for different      ,     ,     and

          conclude there are at  least  ⌊  ⌋ backup paths, where ⌊⋅⌋       values.  We  change  the  value  of one  of the parame‑








                                                                 min
          is the  loor function. For example, if the LOS path (MPC   ters while  keeping  the  others  ixed and  repeat this  proce‑




          #1) is blocked, then most likely the paths of MPC #5 and   dure for all  the  parameters.  Fig.  8(a)  shows the change in







          MPC #6 will  be blocked as well; however, the EMR  in‑   the EMR with   . As    is increased, weights of the weaker



          dicates that the communication can be maintained over   paths in (14) decrease and hence the EMR decreases. The

          two alternate paths which are separated by more than   EMR  attains  the  minimum  value  for the measurement at









           ∘

          20 from any other path.  Similarly, as it can be seen from   TX1‑RX3 for all    values, i.e., 2.30, 1.41, and  1.15 for    =






          Fig. 2(b) and Fig. 2(c), MPCs can be clustered into two in   0.1 ,       = 0.4 ,    and     = 0.7 ,  respectively.  This result  can

          both Scenario 2 and Scenario 3. Therefore, the EMR val‑   be  attributed  to  the geometry of the  environment at  these




          ues are close to 2 in both cases indicating the availabil‑   particular  TX‑RX locations which allows only the LOS path
          ity of at least one backup path.  The EMR value is slightly   and re lections from a  glass  window.  Thus having  an  EMR


          larger in Scenario 3 than in Scenario 2 because the total   close  to  1 means  there is  only  one  or two  paths  (other than



          power of the clusters are closer to each other in Scenario 3   the strongest path) with relatively low power for that TX‑
          than in Scenario 2, increasing the value of the weaker cluster.  RX location and    value. TX1‑RX3 and TX2‑RX12 both
                                                                                 



                                                               have the  same  number  of clusters  (see Fig.  6); however,






          The metrics calculated  based on the library measure‑   the EMR  is  notably  larger  for the  latter.  Moreover,  as    

          ments when the TX is placed at location TX1 with the RXs   increases, the rate of decrease in the EMR for TX1‑RX3 is
          in LOS and NLOS are presented in Fig. 7(a) and Fig. 7(b),   higher than in TX2‑RX12. From this observation, it can be




          respectively. The left ordinates in the   igures represent   inferred that the alternate paths for TX2‑RX12 have rel‑



          the values for RMS‑DS and RMS‑AS, whereas the right or‑  atively higher power and hence they are more valuable.
          56                                 © International Telecommunication Union, 2021
   65   66   67   68   69   70   71   72   73   74   75