s) delivered to network layer over a certain period of time. In the case of single frequency band and a single TRP layer, the user experienced data rate can be derived from the fifth percentile user spectral effi- ciency. Let W and SEuser denote the system bandwidth and the fifth percentile user spectral efficiency, respectively, then the user experienced data rate denoted by Ruser is given as Ruser = SEuserW. In the case where the system bandwidth is aggregated across multiple bands (one or more TRP layers), the user experienced data rate will be summed over the bands. The user experienced data rate is evaluated with non-full-buffer traffic assumption. For non- full-buffer traffic, user experienced data rate is fifth percentile of the user throughput. The user throughput during active time is defined as the size of a burst divided by the time between the arrival of the first packet of a burst and the reception of the last packet of the burst. It must be noted that the 5% user spectrum efficiency depends on the number of active users sharing the channel and for a fixed transmit power; it may vary with the system bandwidth. A dense network architecture would increase the 5% user spectrum efficiency and results in fewer users sharing the channel, that is, 5% user spectrum efficiency may vary with the site density. Support of very large system bandwidths in 3GPP 5G systems would further increase the user experienced data rates. The target 5% user spectrum effi- ciency is three times the IMT-Advanced minimum requirements [8]. Introduction and Background liii Area Traffic Capacity: This metric represents the system throughput over a unit of geo- graphic area and can be evaluated using either a full-buffer traffic model or a non-full- buffer traffic model. The area traffic capacity is described in bits/s/m². Both the user experi- enced data rate and the area traffic capacity must be evaluated at the same time using the same traffic model. The throughput is defined as the number of correctly received bits, that is, the 