Abstract:
A femtocells are used within Long Term Evolution (LTE) Network
to improve the network performance by reducing the blocking. In a largescale
NoF, many UEs may perform cell reselections and handovers to
neighboring femtocells frequently. Consequently, this must besolveed the
scalability problem in terms of location signaling traffic towards the MME
in the core network. In Femtocell environments, new and flexible decision
parameters will influence the HO other than existing parameters, such as
serving cost, user‟s status and preferences, load balancing, etc. In other
words, the serving cell and/or UE should decide to handoff to a target cell
based on multiple parameters. There is a need for algorithms to optimize
and adapt these and other parameters. Therefore an adaptive handover
algorithm is proposed. The algorithm is evaluated by MATLAB simulation.
The simulation scenario, includes a group of femtocells in the same
administrative domain cooperate towards a global performance
improvement, which can effectively manage hotspot cells in 4G Femtocells.
The proposed scheme results in increasing the resource utilization, decrease
the blocking probability, the transmission dealy time reduced, the package
delay reduced and the throughput increased
