Neural-Encoded Fuzzy Models for Load Balancing in 3GPP LTE

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Provided by: International Journal of Applied Information Systems (IJAIS)
Topic: Mobility
Format: PDF
Post Third Generation (3G) broadband mobile networks such as HSPA+, LTE and LTE-advanced offer improved spectral efficiency and higher data rates using innovative technologies such as relay nodes and femto cells. In addition, these networks are normally deployed for parallel operation with existing heterogeneous networks. This increases the complexity of network management and operations, which reflects in higher operational and capital cost. In order to address these challenges, self-organizing network operations were envisioned for these next generation networks.
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