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Parallel Distributed Arithmetic Based K-Best List Sphere Detection Algorithm for LTE Standard

机译:LTE标准的并行分布式算术基于K-BEST列表球体检测算法

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3GPP Long Term Evolution (LTE) is the upcoming standard for cellular mobile communication. To meet the requirements of high data rate and low latency interactive services, Orthogonal Frequency Division Multiplexing (OFDM) in combination with MIMO is used. From a bit error rate (BER) performance perspective, maximum likelihood (ML) detection is the preferred detection method for multiple input multiple output (MIMO) communication systems. However, for high transmission rates, the K-best algorithm provides close-to-ML bit error rate (BER) performance with its iterative tree search, while its circuit complexity is reduced compared to an exhaustive search. In this paper, Distributed Arithmetic (DA) using parallel architecture based K-best List Sphere Detector (LSD) for a 3GPP LTE receiver is presented. About 50% of the computation time can be decreased and increase in speed with the help of this architecture.
机译:3GPP长期演进(LTE)是蜂窝移动通信即将推出的标准。 为了满足高数据速率和低延迟交互服务的要求,使用与MIMO组合的正交频分复用(OFDM)。 从误码率(BER)性能透视,最大似然(ML)检测是多输入多输出(MIMO)通信系统的优选检测方法。 然而,对于高传输速率,K-BEST算法通过其迭代树搜索提供近距离误码率(BER)性能,而与详尽的搜索相比,其电路复杂性降低。 本文介绍了使用用于3GPP LTE接收器的并行架构的基于K-Best列表球体检测器(LSD)的分布式算术(DA)。 在该架构的帮助下,大约50%的计算时间可以减少和速度增加。

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