الفهرس 
Mobile Literature ReviewOnly 14 pages are availabe for public view
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Abstract
Long Term Evolution “LTE” Advanced-based Heterogeneous Networks are introduced to improve spectral efficiency per unit area. A mix of Femtocell, Pico, Macro and Relay base stations are used in LTE Advanced-based Heterogeneous Networks. Low cost and flexible deployments and a uniform broadband experience are to be provided to users anywhere in the Heterogeneous networks. The network specialist try to deal with these challenges by adding indoor base stations, but other problems appear to them because they are adding them without considering critical constraints such as a number of users, type of base stations, indoor and outdoor interference.
In this thesis it is proposed that a system using cluster technique to facilitate the process of cell planning, that involves locating and configuring infrastructure for mobile networks by modifying the Density –Based Spatial Clustering of Application with Noise algorithm (DBSCAN).
A new Clustering algorithm has been proposed to solve the problem of interference in placement of Femtocells by modifying the original DBSCAN algorithm taking into consideration one floor and multi-floor building scenarios where numerous interfering sources are presented and then considered in the early network planning phase.
In this Thesis, DBSCAN algorithm was modified to solve the problem of coverage indoor area, with the existence of obstacles to choose suitable femto base stations which satisfy minimum path loss and maximize coverage area, and minimize cost with guaranteed path loss threshold.
These modifications developed the DBSCAN algorithm to be heterogeneous networking clustering to define for each user a specific femto to serve him.
By calculating path loss for each user in setting, the optimal clustering locations of femto base stations detected.
This modified algorithm called Optimal Clustering with granted PathLoss and maximized Signal to Interference plus Noise Ratio “OptCPLSINR”.
Subsequently, Hierarchical Agglomerative Clustering (HAC) is applied after using OPTCPLSINR to optimize clusters to guarantee minimum cost.
All points are tested by this algorithm to keep the SINR maximum, also suitable penetrations of 4G and 5G are used and different types of obstacles taking into consideration there penetration values.
In the proposed algorithm it is supposed that femto cells are fixed at the middle of the ceiling to serve maximum number of users in multi floors.
Other solutions (as my knowledge) plan for one floor and repeat it in other floors which means that the ceiling path loss is infinity, this is not correct, or they didn’t take into consideration the interior obstacles.
The results of this algorithm indicate that the proposed algorithm conducts to decrease number of Femtocells so minimize the cost and maximize SINR with a grantee pass loss.