Uplink Performance of NOMA-Based Combined HTC and MTC in Ultradense Networks

被引:21
|
作者
Kamel, Mahmoud [1 ]
Hamouda, Walaa [2 ]
Youssef, Amr [3 ]
机构
[1] McGill Univ, Dept Elect & Comp Engn, Montreal, PQ H3A 0E9, Canada
[2] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ H3G 1M8, Canada
[3] Concordia Univ, Concordia Inst Informat Syst Engn, Montreal, PQ H3G 1M8, Canada
关键词
NOMA; Uplink; Internet of Things; Power control; Ultra-dense networks; Stochastic processes; Geometry; 5G; human-type communication (HTC); machine-type communication (MTC); non-orthogonal multiple access (NOMA); stochastic geometry; ultradense network (UDN); uplink coverage; uplink network throughput; NONORTHOGONAL MULTIPLE-ACCESS; TO-MACHINE COMMUNICATIONS; DENSE NETWORKS; RESOURCE-ALLOCATION; CELLULAR NETWORKS; ASSOCIATION; CHALLENGES; DOWNLINK;
D O I
10.1109/JIOT.2020.2984805
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, we study the uplink coverage and the uplink network throughput of an ultradense network (UDN) where human-type communication (HTC) users and machine-type communication (MTC) devices coexist. We employ non-orthogonal multiple access (NOMA) radio access to address the massive connectivity requirements of MTC while satisfying the high data rate requirements of HTC. To this end, stochastic geometry is utilized to model the network exploiting the inherent randomness of the proposed scenario. The enormous number of small cells in UDN along with NOMA can provide a common ground to satisfy the diverse requirements of both MTC and HTC. The distinguishing features of both UDNs and MTC are considered in modeling the network where stretched exponential path-loss (SEPL) is used to capture short-link distances. Moreover, the truncated channel inversion power control is employed in both HTC users (HTCUs) and MTC devices (MTCDs) to mitigate the uplink intercell interference. The results show the significant impact of various system parameters on the network performance. Closed-form and easy-computable expressions are derived for the considered performance metrics, and are assessed by Monte Carlo simulations.
引用
收藏
页码:7319 / 7333
页数:15
相关论文
共 50 条
  • [31] On Performance of NOMA-Based Wireless Powered Communication Networks Assisted With Power Beacons and PPP Distributed IN
    Parihar, Abhinav Singh
    Swami, Pragya
    Choi, Kwonhue
    Brida, Peter
    Bhatia, Vimal
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2023, 12 (07) : 1294 - 1298
  • [32] On the Secrecy Performance of NOMA-Based Cognitive Radio Networks with STBC
    Li M.-L.
    Tian L.-L.
    Yang X.-X.
    Li Y.
    Wang A.-H.
    Dong Z.-S.
    Muhaidat S.
    Dianati M.
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2020, 48 (03): : 463 - 469
  • [33] NODR: An NOMA-Based Retransmission Scheme for URLLC in Industrial Wireless Networks
    Wang, Yitian
    Zheng, Meng
    Yu, Haibin
    IEEE SENSORS JOURNAL, 2022, 22 (20) : 20073 - 20084
  • [34] NOMA-Based Scalable Video Multicast in Mobile Networks With Statistical Channels
    Zhang, Ming
    Lu, Hancheng
    Wu, Feng
    Chen, Chang Wen
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2021, 20 (06) : 2238 - 2253
  • [35] NOMA-Based Task Offloading and Allocation in Vehicular Edge Computing Networks
    Zhao, Shuangliang
    Shi, Lei
    Shi, Yi
    Zhao, Fei
    Fan, Yuqi
    COLLABORATIVE COMPUTING: NETWORKING, APPLICATIONS AND WORKSHARING, COLLABORATECOM 2022, PT I, 2022, 460 : 343 - 359
  • [36] D2D Assisted Q-Learning Random Access for NOMA-Based MTC Networks
    Da Silva, Matheus, V
    Montejo-Sanchez, Samuel
    Souza, Richard Demo
    Alves, Hirley
    Abrao, Taufik
    IEEE ACCESS, 2022, 10 : 30694 - 30706
  • [37] Wireless Powered Cognitive NOMA-Based IoT Relay Networks: Performance Analysis and Deep Learning Evaluation
    Vu, Thai-Hoc
    Nguyen, Toan-Van
    Kim, Sunghwan
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (05): : 3913 - 3929
  • [38] On the Opportunities and Challenges of NOMA-Based Fog Radio Access Networks: An Overview
    Kaneko, Megumi
    Randrianantenaina, Itsikiantsoa
    Dahrouj, Hayssam
    Elsawy, Hesham
    Alouini, Mohamed-Slim
    IEEE ACCESS, 2020, 8 : 205467 - 205476
  • [39] Secrecy Performance Analysis of Uplink NOMA in IoT Networks
    Xiang, Zhongwu
    Yang, Weiwei
    Cai, Yueming
    Cheng, Yunpeng
    Wu, Heng
    Wang, Meng
    2018 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2018, : 506 - 510
  • [40] Performance Analysis of Ambient Backscatter Uplink NOMA Networks
    Chrysologou, Athanasios P.
    Chatzidiamantis, Nestor D.
    Boulogeorgos, Alexandros-Apostolos A.
    Karagiannidis, George K.
    2023 IEEE 97TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-SPRING, 2023,