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作者:

Li, Zhensong (Li, Zhensong.) | Miao, Min (Miao, Min.) | Wang, Zhuwei (Wang, Zhuwei.)

收录:

EI SCIE

摘要:

Mobile devices support more and more real-time multimedia contents such as live video, high-definition television, virtual reality and so on. Real-time multimedia services over mobile networks face several challenges, including the efficient management of radio resources, high data throughput and the latency induced by transmission delay. In order to address network errors on Long Time Evolution (LTE) multimedia broadcast services, forward error correction and unicast recovery techniques are proposed in standard at the application level. In this paper, a parallel coding scheme with Turbo Product Code (TPC) is proposed to fit the antenna array of Multiple-Input Multiple-Output Filter Bank Multi-Carrier (MIMO-FBMC) system for transmission latency reduction. In this scheme, multimedia content information data are firstly reformed into two dimensional blocks with (k(1) x k(2)) bits in every block. And then each block is encoded into (n(1) x n(2)) codeword block using TPC to be transmitted parallel through the massive antenna array of transmitter in MIMO-FBMC system. In the receiver, the multimedia content information is re-formed by concurrent soft decision iterative decoding algorithm of TPC. This parallel TPC coding scheme achieves high throughput, low transmission latency and high reliability, which is suitable for the multimedia communication. Simulation results confirmed the superiority of the proposed parallel TPC coding scheme.

关键词:

Mobile multimedia multiple-in multiple-out filter bank multi-carrier (MIMO-FBMC) system parallel transmission transmission latency turbo product code (TPC)

作者机构:

  • [ 1 ] [Li, Zhensong]Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China
  • [ 2 ] [Li, Zhensong]Beijing Informat Sci & Technol Univ, Informat Microsyst Inst, Beijing 100101, Peoples R China
  • [ 3 ] [Miao, Min]Beijing Informat Sci & Technol Univ, Informat Microsyst Inst, Beijing 100101, Peoples R China
  • [ 4 ] [Wang, Zhuwei]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China

通讯作者信息:

  • [Wang, Zhuwei]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China

电子邮件地址:

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来源 :

IEEE ACCESS

ISSN: 2169-3536

年份: 2020

卷: 8

页码: 3772-3780

3 . 9 0 0

JCR@2022

JCR分区:2

被引次数:

WoS核心集被引频次: 6

SCOPUS被引频次: 10

ESI高被引论文在榜: 0 展开所有

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