On The Feasibility of Polar Code as Channel Code Candidate for the 5G-IoT Scenarios

Arti Sharma, M. Salim
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引用次数: 4

Abstract

5G is on the horizon and internet of things (IoT) is anticipated as an eminent scenario for the 5G network paradigm. The emerging 5G-IoT scenarios are required to potentially support and encourage the massive number of devices of low cost, low latency, long battery life with high reliability. IoT is envisioned to have billions of simultaneous connections over next few years that will completely change the characteristics of mobile network. M2M communication is prime enabling technology of the IoT which is much related to the 5G’s Machine type Communication (MTC). Therefore, 5G’s machine type Communication between massive numbers of devices with mission critical services is become very popular now days and named as 5G-IoT scenario. Channel Coding for the 5G-IoT scenarios is facing novel challenges as to support its various requirements on latency, reliability, scalability and energy consumption. Hence, an FEC code needs to endorse diverse requirements of code lengths and rates, as well as high throughput with low decoding complexity. This paper compares various candidate channel coding methods for 5G-IoT scenario. Polar code is believed as dominant advancement in channel coding theory and guarantees for apical performance. And hence, polar code is considered as promising candidate for the 5G-IoT scenario. This paper put an emphasis on the suitability of polar codes for 5G-IoT scenario.
极性码作为5G-IoT场景信道候选码的可行性研究
5G即将到来,物联网(IoT)预计将成为5G网络范式的重要场景。新兴的5G-IoT场景需要潜在地支持和鼓励大量低成本、低延迟、长电池寿命和高可靠性的设备。物联网预计将在未来几年内拥有数十亿个同时连接,这将彻底改变移动网络的特征。M2M通信是物联网的主要使能技术,与5G的机器类型通信(MTC)密切相关。因此,5G的机器型通信在具有关键任务服务的大量设备之间变得非常流行,并被命名为5G- iot场景。5G-IoT场景的信道编码正面临着新的挑战,以支持其在延迟、可靠性、可扩展性和能耗方面的各种需求。因此,FEC代码需要支持对代码长度和速率的不同要求,以及具有低解码复杂性的高吞吐量。本文比较了5G-IoT场景下的各种候选信道编码方法。极性码被认为是信道编码理论的主要进步,是信道性能的保证。因此,极性代码被认为是5G-IoT场景的有希望的候选者。本文重点讨论了极性码在5G-IoT场景中的适用性。
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期刊介绍: The topics covered by IJFGCN include the following:- -Communication Basic and Infrastructure: *Algorithms, Architecture, and Infrastructures *Communication protocols *Communication Systems *Telecommunications *Transmission TechniquesEtc. -Networks Basic and Management: *Network Management Techniques *Network Modeling and Simulation *Network Systems and Devices *Networks Security, Encryption and Cryptography *Wireless Networks, Ad-Hoc and Sensor Networks *Etc. -Multimedia Application: *Digital Rights Management *Documents Monetization and Interpretation *Management and Diffusion of Multimedia Applications *Multimedia Data Base *Etc. -Image, Video, Signal and Information Processing: *Analysis and Processing *Compression and Coding *Information Fusion *Rationing Methods and Data mining *Etc.
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