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Small Cells Based Call Management for Mobile Network
Arslan Arif, Naeem Abas and Murad Hassan

Technological advancements, barging economics quest for swift communication. The growing demand for data rate and network coverage has pursued telecommunication companies to expand and upgrade their network for maximum coverage and agile speed. The Long Term Evolution (LTE) networks are based on a homogenous configuration comprised of Macrocells. However, during peak hours these macro base stations respond to few numbers of clients whereas many of the user’s requests remain unresponded since these stations lack adequate capacity to tolerate the load of increased traffic on the network. To avoid congestion homogeneous networks are turned into heterogeneous networks by augmenting macro base stations with Low Power Nodes (LPN) using femto, pico, and microcells. We propose a new call handling algorithm in which cells are deployed in a hierarchical manner where the priority of originating calls is given to femtocell. The proposed algorithm was implemented for a realistic scenario in a teaching institution and the performance was assessed and compared for 4 scenarios using 3 user cases. Results show that there is a significant improvement in the number of connections established and throughput for both indoor and outdoor users when we increase LPN for a certain critical area. During peak hours, in the fading environment, there is only a 50% connectivity ratio in presence of a single macrocell for 200 users. After applying our algorithm, the connectivity boosts up to 80% which is further increased by deploying more LPNs. Over a well-organized network, the proposed scheme attested to be more efficient than those formerly used, subsequently contributing satisfying outcomes for the end-users.

Keywords: Hierarchical cellular; Long-term Evolution; Femtocell Networks; Low Power Nodes; SINR; Fading; Pathloss; QoS