Channel Estimation in Long Term Evolution

Provided by: International Journal on Computer Science and Technology (IJCST)
Topic: Networking
Format: PDF
Long term evolution is based on two novel technologies i.e. MIMO (Multiple Input and Multiple Output) and OFDM (Orthogonal Frequency Division Multiplexing) and is evolved due to increasing demand of current wireless communications. Channel estimation plays crucial role in determining channel State information at receiver side. In this paper, pilot based channel estimation has been studied. This paper also proposes channel estimation using ANFIS (Adaptive Neuro Fuzzy Inference System) which utilizes best features of both artificial neural network and fuzzy logic. The results are compared with Matlab simulation. Simulation Results verify that ANFIS with less computational complexity performs better in wireless environment.

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