An Energy-Efficient MIMO-Based 4G LTE-A Adaptive Modulation and Coding Scheme for High Mobility Scenarios

Abstract

The paper investigates the effects of Users Equipment (UEs) mobility on the performance of 4G LTE-A under high data rate services. One of the key techniques supporting LTE services is Adaptive Modulation and Coding (AMC) in which the modulation scheme and the coding rate are adaptively changed to match the current channel conditions as reported by UEs. The mapping between Channel Quality Indicator (CQI) and Signal-to-Interference-plus-Noise Ratio (SINR) has a significant impact on the throughput of the cell, sector and hence the UEs. This paper proposes a new SINR to CQI mapping scheme that satisfies the current trends towards green environment with the prospects of reducing the power transmitted from the evolved Node Base station (eNodeB, or eNB) while still satisfying the Quality of Service (QoS) demanded by the UEs. We demonstrate that the proposed mapping method allow the UEs to report the minimum CQI to satisfy the desired QoS.