INTERFERENCE AND RESOURCE MANAGEMENT STRATEGY FOR HANDOVER IN FEMTOCELLS

Abstract

Femtocells are short-range, low-power and low-cost cellular access points that support fewer users compared to macro-cells and operate in the mobile operators licensed spectrum. Femtocells are bene cial for both operators and consumers. They can provide good network performance at very low cost by increasing indoor coverage and capacity. Femtocells are typically installed and managed by the consumer in an unplanned manner. Since distance between macro base station (MBS) and Femto Access Point (FAP) is short, therefore, it is very hard to sustain low handover probability when macro user (MUE) moves from MBS to FAP. Installing femtocells within macrocell coverage can raise major challenges for handover, if deployed ine ciently. Interference from MBS and neighboring femtocells can degrade signal strength and create dead-zone area for femtocell User Equipments(FUEs) in the coverage area of FAP. Moreover, proper frequency allocation is crucial for avoiding interference. We proposed handover algorithm for uplink co-channel interference mitigation that will make decision of handover on the basis of time-to-stay (TTS) and Signal to interference plus noise ratio (SINR) thresholds. We are also using e cient resource management mechanism to reduce interference problem by using fractional frequency reuse (FFR) and a heuristic graph-based channel assignment algorithm to reduce the interference problem. In FFR scheme, the spectrum is partitioned in such a way that di erent sub-bands are allocated to di erent cells. Maximal Independent Set (MIS) scheme is used to avoid neighboring femtocells interference. The main objective is to avoid interference and unnecessary handovers by check either resources are available or not.