An Efficient RequirementAware Attachment Policy for Future Millimeter Wave Vehicular Networks The automotive industry is rapidly evolving towards connected and autonomous vehicles, whose ever more stringent data traffic requirements might exceed the capacity of traditional technologies for vehicular networks. In this scenario, densely deploying millimeter wave (mmWave) base stations is a promising approach to provide very high transmission speeds to the vehicles. However, mmWave signals suffer from high path and penetration losses which might render the communication unreliable and discontinuous. Coexistence between mmWave and Long Term Evolution (LTE) communication systems has therefore been considered to guarantee increased capacity and robustness through heterogeneous networking. Following this rationale, we face the challenge of designing fair and efficient attachment policies in heterogeneous vehicular networks. Traditional methods based on received signal quality criteria lack consideration of the vehicleu0027s individual requirements and traffic demands, and lead to suboptimal resource allocation across the network. In this paper we propose a QualityofService (QoS) aware attachment scheme which biases the cell selection as a function of the vehicular service requirements, preventing the overload of transmission links. Our simulations demonstrate that the proposed strategy significantly improves the percentage of vehicles satisfying application requirements and delivers efficient and fair association compared to stateoftheart schemes.

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.