Reducing mobility management signaling for automotive users in LTE advanced

State-of-the-art communication networks feature complex Quality of Service and mobility management policies, resulting in tremendous signaling growth. The mobility management related signaling is subject to a further increase due to automotive users or connected cars, which demand more mobility management efforts due to higher speeds. In this paper, we approach signaling reduction by adaptively forming Tracking Area Lists (TALs) based on mobility prediction and variable TAL forms. We show with simulations on mobility traces, that for individual LTE core network elements we can achieve a reduction of 33% of signaling traffic due to mobility management.