Efficient Tracking Area Management in Carrier Cloud
Résumé
One important objective of 5G mobile networks is
to accommodate a diverse and ever-creasing number of user
equipment (UEs). Coping with the massive signaling overhead
expected from UEs is an important hurdle to tackle to achieve this
objective. In this paper, we propose three solutions that aim for
finding optimal distributions of tracking areas (TAs) in the form
of TA lists (TALs) and assigning them to UEs, with the objectives
of minimizing two conflicting metrics, namely paging overhead
and tracking area update (TAU) overhead. Two solutions favors
one objective than the other. The third one incorporates a novel
scheme, dubbed Fair and Optimal TAL Assignment (FOTA),
based on Nash bargaining game theory. FOTA improves overall
network performance minimizing overhead due to both paging
and TAU messages, taking into account the behavior and mobility
features of UEs. The performance of proposed schemes are
evaluated via simulations and the obtained results demonstrate
their feasibility and ability in achieving their design goals,
improving network performance by minimizing cost associated
with paging and TAU.