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In Long Term Evolution (LTE) systems, the evolved Node B (eNodeB) performs link adaptation to improve the system performance on the basis of channel quality information estimated and feedback by the User Equipments (UEs). However, the Channel Estimation Error (CEE) cannot be avoided due to hardware constraint. To make up the performance loss caused by CEE, two types of link adaptation algorithms are proposed: Weighted Average (WA) algorithm based on three different parameters and an enhanced adaptive time window (ATW) algorithm. Unlike previous papers, this paper not only presents the specific process of all the algorithms but also takes the theoretical derivation of performance comparison into consideration.
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