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Latency Reduced LTE-A Turbo-Code Decoding with Iteration Balancing on Transport Block Level

机译:在传输块级别具有迭代平衡的延迟减少的LTE-A Turbo码解码

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The requirements of todays standards for wireless mobile applications require sophisticated Turbo-Code decoder architectures that support throughputs of 1-2 Gbps at low latencies. With the next generation of standards, however, the throughput requirements will be in the order of tens of Gbps, which is not achieved by further parallelization on Turbo-Code decoder level without sacrificing flexibility. We propose to leverage state-of-the-art iteration control and the grouping of code blocks into transport blocks as it is used in LTE-A to increase the throughput of Turbo-Code decoders by an iteration balancing across multiple code blocks and evaluate our approach for single and parallel Turbo-Code decoder instances. We show, that by using iteration balancing, either throughput gains of up to 50% are possible without a degradation in decoding performance or the decoding performance can be improved by up to 0:3dB for the same throughput.
机译:当今无线移动应用标准的要求要求复杂的Turbo-Code解码器体系结构在低延迟下支持1-2 Gbps的吞吐量。然而,对于下一代标准,吞吐量要求将在数十Gbps的数量级,而在不牺牲灵活性的前提下,在Turbo-Code解码器级别上进一步并行化是无法实现的。我们建议利用最先进的迭代控制以及将代码块分组为传输块的方法,因为它在LTE-A中用于通过跨多个代码块的迭代平衡来提高Turbo-Code解码器的吞吐量,并评估我们的单个和并行Turbo代码解码器实例的方法。我们表明,通过使用迭代平衡,在不降低解码性能的情况下,高达50%的吞吐量增益是可能的,或者对于相同的吞吐量,解码性能可以提高0:3dB。

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