Efficient resource allocation scheme for dually connected non-orthogonal multiple access based LIFI-RF networks

被引:0
|
作者
Kassahun, Ermias [1 ]
Salau, Ayodeji Olalekan [2 ,5 ]
Jember, Kehali A. [3 ]
Hailu, Zelalem [4 ]
Kassahun, Habitamu Endalamaew [1 ]
机构
[1] Univ Gondar, Dept Elect & Comp Engn, Gondar, Ethiopia
[2] Afe Babalola Univ, Dept Elect Elect & Comp Engn, Ado Ekiti, Nigeria
[3] Mettu Univ, Dept Elect & Comp Engn, Mettu, Ethiopia
[4] Addis Ababa Univ, Dept Elect & Comp Engn, Addis Ababa, Ethiopia
[5] Saveetha Inst Med & Tech Sci, Saveetha Sch Engn, Chennai, Tamil Nadu, India
关键词
Light fidelity; Non-orthogonal multiple access; Radio frequency; Light emitting diode; HYBRID; PERFORMANCE; WIFI; NOMA;
D O I
10.1007/s11276-024-03858-3
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Light fidelity (LiFi) is a pioneering technology that incorporates high-speed wireless communication and illumination by using light-emitting diodes. Despite the fact that LiFi technology cannot replace radio frequency (RF) communication completely, it is preferable for indoor networks because of its high data rates, minimal RF interference, and low implementation costs. Although RF technology is known for its slow data transmission speeds, its access points can effectively cover a large area. Therefore, it is of utmost importance to integrate both RF and LiFi technologies to fully leverage the advantages of each, resulting in an enhanced system performance. A novel solution to integrate LiFi and RF access points is presented in this paper, which aims to improve users' data rates by setting access point selection criteria and the ability for users to switch to alternate access points. One of the crucial factors for selecting access points for users is the signal to noise and interference ratio (SINR). If a user's SINR falls below a specified threshold, they are allowed to switch immediately to alternative access points. This criterion ensures that the users experience minimal interference and noise, leading to improved data transmission rates. The performance of the dual system is analyzed using MATLAB Monte Carlo iterations, and the simulation results indicate that the proposed approach achieves a total sum rate of 2.2x109\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$2.2 \times 10<^>{9}$$\end{document} bps, which is higher than the sum rates of individual LiFi and RF systems at 1.9x109\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$1.9 \times 10<^>{9}$$\end{document} bps and 0.6x109\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$0.6 \times 10<^>{9}$$\end{document} bps respectively. In conclusion, the proposed approach exhibits a substantial improvement in the total sum rate, increasing it by 72.2% from individual RF and by 13% from individual LiFi. This indicates that the combined system achieves significantly elevated data transmission rates, thereby increasing overall efficiency and providing better service to end-users. The results of the study demonstrate the effectiveness of the integration of LiFi and RF access points, which can have a significant impact on the future of wireless communication and networking.
引用
收藏
页码:1515 / 1528
页数:14
相关论文
共 50 条
  • [31] Distributed Resource Allocation and Computation Offloading in Fog and Cloud Networks With Non-Orthogonal Multiple Access
    Liu, Yiming
    Yu, F. Richard
    Li, Xi
    Ji, Hong
    Leung, Victor C. M.
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (12) : 12137 - 12151
  • [32] Resource Allocation for Cognitive Satellite-HAP-Terrestrial Networks With Non-Orthogonal Multiple Access
    Liu, Rui
    Guo, Kefeng
    An, Kang
    Huang, Yuzhen
    Zhou, Fuhui
    Zhu, Shibing
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 72 (07) : 9659 - 9663
  • [33] Towards optimal resource allocation in wireless powered communication networks with non-orthogonal multiple access
    Aboelwafa, Mariam M. N.
    Abd-Elmagid, Mohamed A.
    Biason, Alessandro
    Seddik, Karim G.
    ElBatt, Tamer
    Zorzi, Michele
    AD HOC NETWORKS, 2019, 85 : 1 - 10
  • [34] Research on Resource Allocation Algorithm for Non-Orthogonal Multiple Access Backscatter-Based Cognitive Radio Networks
    Huang, Tingpei
    Zhang, Tiantian
    Zhang, Bairen
    Liu, Jianhang
    Li, Shibao
    INFORMATION, 2025, 16 (02)
  • [35] Efficient Global Optimal Resource Allocation in Non-Orthogonal Interference Networks
    Matthiesen, Bho
    Jorswieck, Eduard Axel
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2019, 67 (21) : 5612 - 5627
  • [36] Unsupervised Learning Based Emission-Aware Uplink Resource Allocation Scheme for Non-Orthogonal Multiple Access Systems
    Jamshed, Muhammad Ali
    Heliot, Fabien
    Brown, Tim W. C.
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (08) : 7681 - 7691
  • [37] Resource Allocation in Downlink Non-orthogonal Multiple Access (NOMA) for Future Radio Access
    Hojeij, Marie-Rita
    Farah, Joumana
    Nour, Charbel Abdel
    Douillard, Catherine
    2015 IEEE 81ST VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2015,
  • [38] Time and Power Allocation for Non-Orthogonal Multiple Access Relaying Networks
    Xiao, Yue
    Hao, Li
    Ma, Zheng
    Zhang, Zhengquan
    Fang, Zequn
    2017 IEEE 28TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2017,
  • [39] Enhanced energy-efficient downlink resource allocation in green non-orthogonal multiple access systems
    Ruby, Rukhsana
    Zhong, Shuxin
    Ng, Derrick Wing Kwan
    Wu, Kaishun
    Leung, Victor C. M.
    COMPUTER COMMUNICATIONS, 2019, 139 : 78 - 90
  • [40] Energy Efficient Resource Allocation in Multi-user Downlink Non-Orthogonal Multiple Access Systems
    Liu, Qian
    Gao, Hui
    Tan, Fangqing
    Lv, Tiejun
    Lu, Yueming
    GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE, 2017,