Cooperative NOMA in Multi-Content Multimedia Broadcasting

被引:0
|
作者
Beigi, Nazli Ahmad Khan [1 ]
Soleymani, Mohammad Reza [1 ]
机构
[1] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ, Canada
关键词
Cooperative NOMA; LDM; SIC; 5G; ATSC; 3.0;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we investigate an innovative scheme to provide high definition multi-content multimedia with extended coverage area based on cooperative non-orthogonal multiple access (NOMA). The broadcasters cooperatively share and transmit their multimedia over the same frequency band in a time division multiplexing (TDM) format. The data streams with two robustness levels are superimposed by a layered division multiplexer (LDM). This combined TDM/LDM model introduces a two-stage decoding process based on successive interference cancellation (SIC). Compared to the current single-content orthogonal methods employed in broadcast networks, our contribution is to enhance both the throughput and multicontent broadcasting coverage in a cooperative NOMA scheme. Our proposed scheme is based on the duality theorem of multiple access channels and broadcast channels capacity regions. We show that our scheme can improve the throughput by at least 40% compared to the orthogonal single content broadcasting. We further investigate the performance of the proposed technique in digital TV (DTV) broadcast channels based on ATSC 3.0, where we profit from the use of adaptive coding and modulation and LDM. The simulation results confirm the gains in coverage, efficiency, and throughput.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Personalization of Mobile Multimedia Broadcasting
    Kosch, Harald
    Boeszoermenyi, Laszlo
    Hoelbling, Guenther
    Coquil, David
    Heuer, Joerg
    INTERNATIONAL JOURNAL OF DIGITAL MULTIMEDIA BROADCASTING, 2008, 2008
  • [32] Broadcasting Based Neighborhood Cooperative Caching for Content Centric Ad Hoc Networks
    Zhou, Le
    Zhang, Tiankui
    Xu, Xiaogeng
    Zeng, Zhimin
    Liu, Yinlong
    2015 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2015,
  • [33] Secure Transmission in NOMA-Aided Multiuser Visible Light Communication Broadcasting Network With Cooperative Precoding Design
    Shi, Ge
    Aboagye, Sylvester
    Ngatched, Telex M. N.
    Dobre, Octavia A.
    Li, Yong
    Cheng, Wei
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 17 : 3123 - 3138
  • [34] Energy Efficient Multimedia Content Broadcasting in a Risky Mobile Social Network with Adversarial Users
    Ding, Yue
    Liu, Peng
    Guan, Zhitao
    2017 IEEE INTERNATIONAL CONFERENCE ON INTERNET OF THINGS (ITHINGS) AND IEEE GREEN COMPUTING AND COMMUNICATIONS (GREENCOM) AND IEEE CYBER, PHYSICAL AND SOCIAL COMPUTING (CPSCOM) AND IEEE SMART DATA (SMARTDATA), 2017, : 510 - 515
  • [35] Multi-Content Merging Network Based on Focal Loss and Convolutional Block Attention in Hyperspectral Image Classification
    Yang, Lina
    Zhang, Fengqi
    Wang, Patrick Shen-Pei
    Li, Xichun
    Luo, Huiwu
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2022, 36 (06)
  • [36] Optimal multi-content video decomposition for efficient video transmission over low-bandwidth networks
    Doulamis, A
    Doulamis, N
    2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS, 2002, : 201 - 204
  • [37] Multi-content time-series popularity prediction with Multiple-model Transformers in MEC networks
    Meybodi, Zohreh Hajiakhondi
    Mohammadi, Arash
    Hou, Ming
    Rahimian, Elahe
    Heidarian, Shahin
    Abouei, Jamshid
    Plataniotis, Konstantinos N.
    AD HOC NETWORKS, 2024, 157
  • [38] Integrated Sensing and Communication: NOMA vs Cooperative NOMA
    Amhaz, Ali
    Elhattab, Mohamed
    Assi, Chadi
    Sharafeddine, Sanaa
    IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM, 2023, : 407 - 412
  • [39] Coding and presentation of multimedia for Data Broadcasting with broadcasting markup language
    Lee, H
    Hong, GH
    Song, HY
    Han, SY
    DATABASES IN NETWORKED INFORMATION SYSTEMS, 2002, 2544 : 147 - 160
  • [40] Deep Multi-Task Learning for Cooperative NOMA: System Design and Principles
    Lu, Yuxin
    Cheng, Peng
    Chen, Zhuo
    Mow, Wai Ho
    Li, Yonghui
    Vucetic, Branka
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021, 39 (01) : 61 - 78