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An Analytical Investigation of Finite Blocklength Information Theory

机译:有限块长信息理论的分析研究

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One of the key revolutionary services that will be offered by 5G is ultra-reliable low latency communication. This will enable the development of new emerging technologies such as remote surgery and autonomous vehicles. In this paper, we have investigated the differences between Shannon theory and Finite Blocklength Information theory and evaluated their performance in various scenarios such as orthogonal multiple access, nonorthogonal multiple access, millimeter wave and beamforming. In each and every case, the Shannon model has emerged to be the better performer compared to the Finite Blocklength Information model. However, on the other hand due to two factors the result of our study was inconclusive for the Shannon model. One of these factors happen to be the probability of decoding error and the other one is Blocklength size. Our paper provides numerous results for various factors and highlights the superiority of the Shannon model over the Finite Blocklength Information model.
机译:5G将提供的关键革命性服务之一是超可靠的低延迟通信。这将使新技术的开发成为可能,例如远程手术和自动驾驶汽车。在本文中,我们研究了香农理论和有限块长度信息理论之间的差异,并评估了它们在正交多路访问,非正交多路访问,毫米波和波束成形等各种情况下的性能。在每种情况下,与有限块长度信息模型相比,香农模型都表现出更好的性能。但是,另一方面,由于两个因素,对于香农模型,我们的研究结果尚无定论。这些因素之一恰好是解码错误的概率,另一个因素是块长度大小。我们的论文为各种因素提供了许多结果,并强调了Shannon模型优于有限块长度信息模型的优越性。

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