Page 63 - ITU Journal Future and evolving technologies – Volume 2 (2021), Issue 2
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ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 2




          2.1 Existing metrics for channel characterization           Table 1 – Parameters of the MPCs shown in Fig. 2(a).

         RMS‑DS is a measure of temporal dispersion of the power.  MPC  AoD‑Az  AoD‑El  AoA‑Az  AoA‑El  Power  Delay
                                                                         ∘
                                                                                 ∘
                                                                                                ∘
                                                                                        ∘
         It is calculated using the power and delay parameters of  # (i)  ( )   ( )    ( )     ( )   (dBm)  (ns)
         the extracted MPCs as follows [8]:                      1      -90     0      90      0     ‑42.00  6.51
                                                                 2      ‑150    0      150     0     ‑53.02  13.67
                                                                 3      ‑150    0      150     ‑20   ‑57.40  11.72
                          √      
                          √∑         (   −    avg ) 2            4      ‑30     0      30      0     ‑57.67  19.53
                                        
                                     
                       rms  =  √    =1        ,        (3)       5      ‑90     ‑20    90      ‑20   ‑58.74  7.16
                          ⎷      ∑    =1       
                                                                 6      ‑110    0      ‑110    0     ‑60.46  24.74
          where    is the power of the   ‑th MPC, and    avg  is the
                   


          mean delay given by                                  in the denominator of (5) is set to unit power. The intu‑
                                                               ition here is that, due to the high attenuation in mmWave
                                   
                               ∑                               frequencies, actual  power of the MPCs is a critical fea‑








                                           
                            avg  =    =1  .            (4)
                                    
                                ∑                              ture, and normalizing weighted powers by the total power
                                    =1    
                                                               may remove the multipath richness‑related aspects of the
          RMS‑AS indicates the dispersion of power in the spatial  channel we are looking for. Given that, the nRMS‑AS can

          domain. It can be calculated similarly to the RMS‑DS as  be thought of as the RMS value of the absolute power in
          follows [9]:                                         the angular domain. A similar procedure can be followed
                                                               to obtain the non‑normalized RMS‑DS, but we omit this
                         √                 )                   metric in this study for brevity.
                                            2
                         √∫   (  )(   −   
                      rms  =  √ −        avg   ,       (5)
                         ⎷       ∫   (  )    
                                 −  
          where    is the AoA either in the azimuth or the elevation  2.2 Evaluation of the metrics

          plane, and   (  ) is the sum of linear power of the MPCs



          whose AoA is    in the azimuth or the elevation plane. The  This section compares the above metrics evaluated for




          term    avg  is the average AoA and given by         three scenarios, where the number of extracted MPCs













                                                               and their spatial  distribution vary between the scenar‑
                                  
                               ∫   (  )                        ios. Fig. 2(a) shows the  irst six strongest MPCs (both at

                            avg  =  −       .          (6)     the TX and the RX sides) extracted from a sample chan‑
                               ∫   (  )    
                                −                              nel measurement at 28 GHz. The measurement was con‑

                                                               ducted in a typical of ice room of size ≈ 5 m × 8 m and







          Another relevant metric to understand the scattering  equipped with furniture and computers. To avoid any
          characteristics of the environments is the Angular Spread  noise in the measurements, the measurement setup was

          Coverage (ASC) introduced in [10]. This metric is an  operated through remote control. Even though we per‑
          extension of the AS metric that was originally proposed  formed the measurements in indoor environments, we in‑
          in [11] and quanti ies the spatial diversity of the multi‑  spected the spectrum to make sure that there is no other





          paths by                                             signal  source around operating  at  28 GHz. The highest
                                                               power is received through the LOS path and denoted by
                               + √|   | − |   | 2              the red arrow. Other paths are through  irst‑order re lec‑
                                      2
                     ASC =  max      0      1  ,       (7)
                                     max                       tions from either the surrounding walls and furniture or
                                                               the ground, and their power levels are determined by the
          where    max  is the power of the MPC with maximum   length  of the paths and the material type of the re lec‑









          power, and                                           tors. It is worthwhile to note that there is no second or

                                                               higher‑order re lections in the list due to severe attenua‑
                         = ∫   (  ) exp(j    )         (8)     tion at 28 GHz. Parameters of the MPCs are provided in

                          
                            −                                  Table 1. This scenario (Scenario 1) is modi ied by assum‑
          is the   ‑th complex Fourier coef icient of the power  ing that the Scatterer #1 is not a good re lector, and thus
          arriving at the azimuth angle   . The original version of  paths 2 and 3 are not available.  It is also assumed that
          the metric does not have the    max  terms in the numerator  the remaining paths have the same parameters as in Sce‑

          and the denominator in (7) and hence returns zero if  nario 1. This scenario is referred to as Scenario 2 and il‑

          the available paths have the same AoA azimuth angle.  lustrated in Fig. 2(b). Lastly, Scenario 1 is also modi ied
          However, the ASC metric can capture the event that the  such that there is a blockage between the TX and the RX,
          client is in coverage if there is at least one available path.  which obscures the LOS path, the ground‑re lected path,
                                                               and the path re lected from Scatterer #3. Therefore, there
          Finally, we consider a slightly modi ied version of the  are only three paths (with the same parameters) as shown
          RMS‑AS, which we refer to as the non‑normalized RMS‑  in Fig. 2(c). This scenario is referred to as Scenario 3.
          AS (nRMS‑AS). As its name signi ies, the nRMS‑AS is calcu‑
          lated as in (5) but without normalization, i.e., the integral
                                             © International Telecommunication Union, 2021                    49
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