Abstract: The integration of cellular networks allows mobile
users to eliminate poor indoor coverage and call dropping
probability. Femto stations (FS’s) appeared to be one of the
innovative solutions that enhanced network coverage and the
Quality of Service (QoS) when servicing indoor users. The
cellular network Operator can potentially benefit by employing FS
inside buildings and shares the allocated spectrum among
different network entities. The seamless handover (HO) process
between network entities is a major challenge of the Femto
cellular networks (FCNs). Furthermore, the minimum and
appropriate neighbor Femto list (NFL) is the main aim to
guarantee the complete execution of the HO process. In this
paper, an algorithm is proposed for power control in dense Femto
Stations environment as long as possible through the Nash
non-cooperative game theory. additionally, it provides location
information mechanism to ensure a seamless transition between
different network entities based on detected frequency from
neighbor FS’s, signal to interference noise ratio (SINR), as well
as the location information of FS in the coverage area.
Simulation results show that the proposed algorithm reduces the
HO failure probability through improving the NFL by deducting
40% of the amount of FSs in the NFL. As compared to the
traditional scheme based on RSSI and frequency allocation, with
increasing the number of FSs, there is around 40- 50% reduction
in the probability that the target FS is not included in the NFL
which improves the network performance and lowers HO failure
probability.