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Optimal Decoders for 4G LTE Communication

Syed Ali Irtaza, Aamir Habib, and Qamar-ul-Islam
Institute of Space Technology, Islamabad-44000, Pakistan
Abstract—Multiple Input Multiple Output (MIMO) techniques are used to realize practical high data rate systems which laid the foundation of Long Term Evolution (LTE). Various transmission techniques like Transmit Diversity (TxD), Open Loop Spatial Multiplexing (OLSM) and Closed Loop Spatial Multiplexing (CLSM) are deployed in the realm of MIMO. The spectral efficiency is improved with the help Orthogonal Frequency Division Multiplexing (OFDM). In this paper we will focus on CLSM, to evaluate its performance with the help of Zero Forcing (ZF), Minimum Mean Sqaure Error (MMSE), SoftSphere Decoder (SSD), SSD K-Best (SSDKB) and SIC receivers to find the optimal decoder in LTE environment. The SSD, SSD-KB and SIC uses MMSE based equalizers. The channel environment used are Additive White Gaussian (AWGN), Vehicular A (VehA), Vehicular B (VehB) and an outdoor Pedestrian (Ped B) channel model. A Least Square (LS) estimated feedback obtained by the averaging of two channel instances is used to improve BLER in the case of fading channels.

Index Terms—VehB, SSD, SIC, CLSM, LTE, LS.

Cite: Syed Ali Irtaza, Aamir Habib, and Qamar-ul-Islam, "Optimal Decoders for 4G LTE Communication," Lecture Notes on Information Theory, Vol.1, No.4, pp. 170-174, Dec. 2013. doi: 10.12720/lnit.1.4.170-174
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