Optimal placement of Femto base stations in enterprise femtocell networks

Tahalani, M and Sathya, V and Ramamurthy, R and Suhas, U S and Giluka, M K and Tamma, Bheemarjuna Reddy (2014) Optimal placement of Femto base stations in enterprise femtocell networks. In: IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS), 14-16 Dec, 2014, New Delhi.

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Abstract

Femto cells a.k.a. Low Power Nodes (LPNs) are deployed to improve indoor data rates as well as reduce traffic load on macro Base Stations (BSs) in 4G/LTE cellular networks. Indoor UEs getting high SNR (Signal-to-Noise Ratio) can experience good throughput, but SNR decreases at faster rate due to obstacles, present along the communication path. Hence, efficient placement of Femtos in enterprise buildings is crucial to attain desirable SNR for indoor users. We consider obstacles and shadowing effects by walls and include them in the system model. We develop a Linear Programming Problem (LPP) model by converting convex constraints into linear ones and solve it using GAMS tool, to place Femtos optimally inside the building. Our extensive experimentation proves the optimal placement of Femtos achieves 14.41% and 35.95% increase in SNR of indoor UEs over random and center placement strategies, respectively.

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IITH Creators:
IITH CreatorsORCiD
Tamma, Bheemarjuna ReddyUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: 4G/LTE cellular networks, GAMS tool, LPN, LPP model, SNR, center placement strategies, convex constraints, enterprise femtocell networks, femto base stations, indoor data improvement, linear programming problem model, low power nodes, macro base stations, optimal placement, signal-to-noise ratio
Subjects: Computer science > Big Data Analytics
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 22 Sep 2015 06:56
Last Modified: 07 Sep 2017 09:52
URI: http://raiithold.iith.ac.in/id/eprint/1944
Publisher URL: http://dx.doi.org/10.1109/ANTS.2014.7057240
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