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5990-6535EN


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                   Accounting for Antenna and
                   MIMO Channel Effects
                   Using Agilent SystemVue


                   Application Note




Introduction
                   The Multiple-Input-Multiple-Output (MIMO) technique was introduced to address
                   the growing demand for higher data-rate applications in communication standards
                   like 3G, WLAN, WiMAXTM. In MIMO systems, both the radio channel propagation
                   conditions and antenna characteristics influence the end user's quality-of-service
                   (QoS). MIMO channel models, with the ability to simulate the multipath fading that
                   incorporates antenna patterns, are therefore important. Agilent SystemVue offers
                   a MIMO Channel Builder that provides just such a capability. This application note
                   discusses two MIMO channel models, namely geometry-based and correlation-based
                   models, which were realized using Agilent's W1715 MIMO Channel Builder, to
                   show how antenna effects and channel characteristics are coupled in the channel
                   models. It will also present some MIMO Channel Builder applications as a means of
                   describing how to use the models step-by-step and apply them in system simulation
                   and measurements.



MIMO
Channel Modeling
Approaches
                   Agilent SystemVue MIMO Channel Builder consists of a geometry-based WINNER
                   II MIMO channel model that is standards compliant, and a correlation-based MIMO
                   channel model that is flexible enough for user customization.
Approach 1
                            The WINNER II channel model is a geometry-based stochastic model. [1] It also
Geometry-based Stochastic   called a double directional channel model. The model does not explicitly specify the
Channel Modeling            locations of the scatters, but rather the directions of the rays, like the well-known
                            Spatial Channel Model (SCM). [2] Both IMT-advances and consequently, LTE-
                            Advanced, apply this kind of model as the MIMO channel model for performance
                            tests. Geometry-based modeling of the radio channel enables separation of propaga-
                            tion parameters and antennas. The time variant impulse response matrix of the UxS
                            MIMO channel is given by
                                                                                      N
                                                                        H (t ; ) =  H n (t ; )
                                                                                      n =1



                            where t is time,  is delay, N is the number of paths, and n is path index. The
                            impulse response matrix is composed of the antenna array response matrices Ftx and
                            Frx for the transmitter (Tx) and the receiver (Rx) respectively. The channel from the Tx
                            antenna element s to the Rx element u, for cluster n, is expressed as

                                                                Frx ,u ,V ( n,m )  n,m,VV  n ,m,VH   Ftx ,s ,V ( n ,m )
                                                                                  T
                                                          M
                                       H u ,s ,n (t ; ) =  
                                                          m =1  Frx ,u , H ( n , m )  n , m , HV
                                                                                                 a n ,m , HH   Ftx ,s , H ( n ,m )
                                                                                                                                  
                                                                    (                         ) (
                                                              



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