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首页> 外文期刊>Internet of Things Journal, IEEE >Blind Weighted Least-Squares Frequency Offset Estimation Method for LTE Machine-Type Communications
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Blind Weighted Least-Squares Frequency Offset Estimation Method for LTE Machine-Type Communications

机译:LTE机型通信的盲加权最小二乘频率偏移估计方法

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摘要

A key challenge associated with cellular-based machine-type communication (MTC) is to provide better coverage enhancement (CE) along with low power consumption for MTC user equipments (UEs). Due to the limitation on total power allowed for transmission, it is required to estimate frequency error in very low signal-to-noise ratio condition. In this article, an effective frequency offset estimation method is presented for MTC in a long term evolution system. The proposed method applies the repetitive nature of the MTC physical broadcast channel to the weighted least-squares estimation technique. Both analytical and simulation results are provided to corroborate the feasibility of the proposed method. It is shown that the proposed estimation scheme is more efficient for CE of MTC UEs, compared to the existing method.
机译:与基于蜂窝的机器型通信(MTC)相关的关键挑战是提供更好的覆盖增强(CE)以及MTC用户设备(UE)的低功耗。由于允许传输的总功率的限制,需要在非常低的信噪比条件下估计频率误差。在本文中,在长期演化系统中为MTC呈现了有效的频率偏移估计方法。该方法将MTC物理广播信道的重复性应用于加权最小二乘估计技术。提供分析和仿真结果,以证实所提出的方法的可行性。结果表明,与现有方法相比,所提出的估计方案对MTC UE的CE更有效。

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