Cross PHY/APP Layer User Grouping and Power Allocation for Uplink Multiantenna NOMA Video Communication Systems

被引:14
|
作者
Tseng, Shu-Ming [1 ]
Chen, Yung-Fang [2 ]
Fang, Hao-Hsin [3 ]
机构
[1] Natl Taipei Univ Technol, Dept Elect Engn, Taipei 10608, Taiwan
[2] Natl Cent Univ, Dept Commun Engn, Chungli 32001, Taiwan
[3] Pegatron Corp, Taipei 112, Taiwan
来源
IEEE SYSTEMS JOURNAL | 2020年 / 14卷 / 03期
关键词
NOMA; Resource management; Uplink; Interference; Power control; Physical layer; PSNR; Beamforming; cross-layer optimization; multi-user-multiple-input multiple-output (MU-MIMO); nonorthogonal multiple access (NOMA); power allocation; user set selection; NONORTHOGONAL MULTIPLE-ACCESS; MIMO; TRANSMISSION; PSNR;
D O I
10.1109/JSYST.2019.2943601
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The previous suboptimal user pairing and optimal power control for uplink multiantenna NOMA systems considers the physical-layer-only to maximize the sum data rates. For video communications, the objective is changed to minimize the sum video distortion and then maximize the peak signal-to-noise ratio (PSNR). For uplink multiantenna NOMA systems, we propose 1) a novel weak set user selection scheme to maximize the ratio of signal power and the interference to the strong set users, 2) a novel iterative user substitution scheme based on video distortion in the application layer that increases the PSNR, and the video quality, 3) a novel optimal power allocation derived to minimize the video distortion in the application layer. 1) considers the physical-layer only and 2) and 3) consider the application layer too. The numerical results indicate that the proposed cross-layer scheme outperforms the previous physical-layer-only by 1.1 dB, and is only 0.8 dB away from the exhaustive upper bound in PSNR with 20 users and SNR = 15 dB. The complexity of the proposed scheme is slightly greater than that of the previous physical-layer-only scheme, but still much lower than that of the exhaustive upper bound.
引用
收藏
页码:3351 / 3359
页数:9
相关论文
共 50 条
  • [31] User grouping and power allocation algorithm for UAV-aided NOMA network
    Li G.
    Lin J.
    Xu Y.
    Huang Z.
    Liu T.
    Lin, Jinzhao (linjz@cqupt.edu.cn), 1600, Editorial Board of Journal on Communications (41): : 21 - 28
  • [32] User Fairness Aware Power Allocation for NOMA-Assisted Video Transmission With Adaptive Quality Adjustment
    Fang, Sangsha
    Chen, Hongyang
    Khan, Zahid
    Fan, Pingzhi
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (01) : 1054 - 1059
  • [33] Adaptive User Grouping and Power Allocation for Indoor VLC-NOMA
    Liu Huanlin
    Song Wenjie
    Chen Yong
    Zhang Tong
    Chen Haonan
    Xie Yuxin
    Deng Di
    CHINESE JOURNAL OF LASERS-ZHONGGUO JIGUANG, 2024, 51 (14):
  • [34] User Pairing and Power Allocation Strategies for 3D VLC-NOMA Systems
    Janjua, Muhammad Bilal
    da Costa, Daniel Benevides
    Arslan, Huseyin
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2020, 9 (06) : 866 - 870
  • [35] Joint Beam-Forming, User Clustering and Power Allocation for MIMO-NOMA Systems
    Wang, Jiayin
    Wang, Yafeng
    Yu, Jiarun
    SENSORS, 2022, 22 (03)
  • [36] Cross Layer Resource Allocation Design for Uplink Video OFDMA Wireless Systems
    Wang, Dawei
    Cosman, Pamela C.
    Milstein, Laurence B.
    2011 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE (GLOBECOM 2011), 2011,
  • [37] User scheduling and power allocation for nonfull buffer traffic in NOMA downlink systems
    Gemici, Omer Faruk
    Kara, Fatih
    Hokelek, Ibrahim
    Cirpan, Hakan Ali
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2019, 32 (01)
  • [38] Successive Bandwidth Division NOMA Systems: Uplink Power Allocation with Proportional Fairness
    Qureshi, Soma
    Hassan, Syed Ali
    Jayakodyt, Dushantha Nalin K.
    2017 14TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC), 2017, : 998 - 1003
  • [39] Cross-Layer Codebook Allocation for Uplink SCMA and PDNOMA-SCMA Video Transmission Systems and a Deep Learning-Based Approach
    Tseng, Shu-Ming
    Chen, Wei-Yao
    IEEE SYSTEMS JOURNAL, 2023, 17 (01): : 294 - 305
  • [40] User grouping and power allocation for energy efficiency maximization in mmWave-NOMA heterogeneous networks
    Azadeh Khazali
    Mahrokh G. Shayesteh
    Hashem Kalbkhani
    Wireless Networks, 2022, 28 : 2403 - 2420