Efficient Power Allocation for Multi-Cell Uplink NOMA Network

被引:0
|
作者
Khan, Wali Ullah [1 ]
Jameel, Furqan [2 ]
Ristaniemi, Tapani [2 ]
Elhalawany, Basem M. [3 ]
Liu, Ju [1 ]
机构
[1] Shandong Univ, Sch Informat Sci & Engn, Qingdao 266237, Shandong, Peoples R China
[2] Univ Jyvaskyla, Fac Informat Technol, FI-40014 Jyvaskyla, Finland
[3] Benha Univ, Banha, Egypt
基金
中国国家自然科学基金;
关键词
Nakagami-m; Non-orthogonal multiple access (NOMA); Multi-cell; Power optimization; Smart city; NONORTHOGONAL MULTIPLE-ACCESS;
D O I
10.1109/vtcspring.2019.8746316
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Digital technologies are rapidly shaping the modern concepts of urbanization. It is a key element of developing practical smart cities of the future. In fact, they are the catalyst for the increasing networking of all areas of life in a smart city. Recent development in the domain of communication technologies has opened new avenues to realize the concept of smart cities. One of such communication technology is non-orthogonal multiple access (NOMA) for future cellular communications. This article, therefore, focuses on the interference management of uplink cellular NOMA systems. Specifically, we propose a power optimization technique for NOMA to improve the sum-rate in a multi-cell environment. We also consider Nakagami-m faded links to analyze the applicability of our proposed scheme under various channel conditions. The simulation results show that the proposed NOMA approach outperforms conventional orthogonal multiple access (OMA) technique in the multi-cell uplink scenario.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] Joint energy efficient power and subchannel allocation for uplink MC-NOMA networks
    Rashid, Bushra
    Ahmad, Ayaz
    Saleem, Sajid
    Khan, Aimal
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2020, 33 (17)
  • [42] Control Efficient Power Allocation of Uplink NOMA in UAV-Aided Vehicular Platooning
    Sun, Yanglong
    Zheng, Ke
    Tang, Yuliang
    IEEE ACCESS, 2021, 9 : 139473 - 139488
  • [43] QoE-based Resource Allocation for Multi-cell Hybrid NOMA Networks
    Shao, Hongxiang
    Sun, Youming
    Cai, Jihao
    Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2021, 43 (04): : 1129 - 1136
  • [44] A QoE-Aware Resource Allocation Strategy for Multi-cell NOMA Networks
    Cui, Jingjing
    Liu, Yuanwei
    Fan, Pingzhi
    Nallanathan, Arumugam
    2017 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2017,
  • [45] QoE-based Resource Allocation for Multi-cell Hybrid NOMA Networks
    Shao Hongxiang
    Sun Youming
    Cai Jihao
    JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2021, 43 (04) : 1129 - 1136
  • [46] Distributed Uplink Power Control for Multi-Cell Cognitive Radio Networks
    Rasti, Mehdi
    Hasan, Monowar
    Le, Long Bao
    Hossain, Ekram
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2015, 63 (03) : 628 - 642
  • [47] Adaptive Joint Multi-cell Reception with Uplink Power Control and Beamforming
    Li, Wei
    Juntti, Markku
    Lu, Xiaojia
    Tolli, Antti
    Kunnari, Esa
    Piirainen, Olli
    2010 5TH INTERNATIONAL ICST CONFERENCE ON COMMUNICATIONS AND NETWORKING IN CHINA (CHINACOM), 2010,
  • [48] Power Allocation in Multi-cell System Using Distributed Deep Neural Network Algorithm
    Zhang, Minghui
    Chen, Ming
    2019 INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB), 2019,
  • [49] An Improved Auction based Power Control in Multi-Cell NOMA Networks
    Adam, Abuzar B. M.
    Saif, Moatssim
    Abdallah, Abdalrhman A. A.
    2022 3RD INFORMATION COMMUNICATION TECHNOLOGIES CONFERENCE (ICTC 2022), 2022, : 51 - 55
  • [50] Resource Allocation in Multi-cell NOMA Systems with Multi-Agent Deep Reinforcement Learning
    Wang, Shichao
    Wang, Xiaoming
    Zhang, Yuhan
    Xu, Youyun
    2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2021,