Guest Editorial MillimeterWave Networking Due to the increasing density of wireless devices, the evergrowing demands for extremely high data rates, and the spectrum scarcity at the sub6 GHz bands, making use of the spectrumrich millimeterwave (mmWave) frequencies is among the most important technology trends for future wireless networks. The major commercial potential of mmWave networks has led to mmWave being considered a key element for 5Gandbeyond mobile cellular networks, as well as for emerging Gbpsspeed WiFi networks based on the IEEE 802.11ad and draft IEEE 802.11ay standards. Despite this intense interest in mmWave communications from both the research community and industry, much fundamental research is still needed, especially at the higher layers of the networking stack.

On LoadAware Cell Association Schemes for Group User Mobility in mmWave Networks While faster signal attenuation in millimeter wave (mmWave) networks is compensated by high antenna directivity, the effects of dynamic blockages can be mitigated by using connections to multiple access points (APs), and the choice of a proper cell association algorithm plays an essential role in optimizing the overall system performance. Despite numerous research efforts aimed at finding optimal cell associations, effects of user mobility have not been explicitly addressed. Particularly, mobility patterns are imperative in the case of mmWave directional access, as they impact the overall system performance and, thus, might affect the choice of optimal solutions.In this paper, we address correlated mobility typical for collective extended reality (XR) applications, using the example of reference point group mobility models (RPGM), where users migrate in groups or clusters. Assuming 3D beamforming and protocol settings of mmWave IEEE 802.11aday that operates at 60GHz, we compare the performance of two cell association schemes: baseline RSSIbased and loadaware algorithms, and provide important insights on optimization of loadaware scheme parameters, the choice of which is a dynamic function of antenna directivity and network density.