Joint Power and User Allocation in Coexistence of eMBB and URLLC Services

被引:1
|
作者
Rahim, Muddasir [1 ]
Nguyen, Thanh Luan [1 ]
Do, Tri Nhu [2 ]
Kaddoum, Georges [1 ,3 ]
机构
[1] Univ Quebec, Ecole Technol Super ETS, Dept Elect Engn, Montreal, PQ H3C 1K3, Canada
[2] Polytech Montreal, Dept Elect Engn, Montreal, PQ H3T 1J4, Canada
[3] Lebanese Amer Univ, Artificial Intelligence & Cyber Syst Res Ctr, Beirut 1102, Lebanon
关键词
Ultra reliable low latency communication; Resource management; Terahertz communications; Interference; Wireless networks; Vectors; 6G mobile communication; Enhanced mobile broadband; intelligent reconfigurable surface; ultra-reliable low latency communication; 5G;
D O I
10.1109/LCOMM.2024.3411399
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
The coexistence of enhanced mobile broadband (eMBB) and ultra-reliable low latency communication (URLLC) services in the intelligent reconfigurable surface (IRS)-assisted terahertz (THz) network is analyzed in this work. The coexistence of eMBB and URLLC services in the same network leads to a challenging resource management problem. We formulate the joint power and user allocation (JPUA) to maximize the achievable data rate of eMBB users. Specifically, we propose a one-to-many matching game to allocate the IRSs to the eMBB users. The simulation outcomes indicate that the proposed scheme outperforms the baseline methods regarding the sum data rate for eMBB users.
引用
收藏
页码:2186 / 2190
页数:5
相关论文
共 50 条
  • [21] Joint Scheduling of eMBB and URLLC Services in RIS-Aided Downlink Cellular Networks
    Almekhlafi, Mohammed
    Arfaoui, Mohamed Amine
    Elhattab, Mohamed
    Assi, Chadi
    Ghrayeb, Ali
    30TH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS (ICCCN 2021), 2021,
  • [22] Enabling the eMBB and URLLC coexistence in MEC-NFV Networks
    Souza, Caio
    Falcao, Marcos
    Balieiro, Andson
    Taleb, Tarik
    Alves, Elton
    ICC 2024 - IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, 2024, : 159 - 164
  • [23] On the Coexistence of eMBB and URLLC in Multi-Cell Massive MIMO
    Interdonato, Giovanni
    Buzzi, Stefano
    D'Andrea, Carmen
    Venturino, Luca
    D'Elia, Ciro
    Vendittelli, Paolo
    IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, 2023, 4 : 1040 - 1059
  • [24] Puncturing-Based Resource Allocation for URLLC and eMBB services via Unsupervised Deep Learning
    Shi, Bing
    Zheng, Fu-Chun
    She, Changyang
    2023 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS, ICC WORKSHOPS, 2023, : 1729 - 1734
  • [25] Dynamic resource allocation schemes for eMBB and URLLC services in 5G wireless networks
    Han, Xianghui
    Xiao, Kai
    Liu, Ruiqi
    Liu, Xing
    Alexandropoulos, George C.
    Jin, Shi
    Intelligent and Converged Networks, 2022, 3 (02): : 145 - 160
  • [26] Energy-Efficient Resource Allocation With Flexible Frame Structure for Hybrid eMBB and URLLC Services
    Sui, Wenshu
    Chen, Xiaojing
    Zhang, Shunqing
    Jiang, Zhiyuan
    Xu, Shugong
    IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, 2021, 5 (01): : 72 - 83
  • [27] Joint Resource Block Allocation and Beamforming with Mixed-Numerology for eMBB and URLLC Use Cases
    Wang, Zihuan
    Wong, Vincent Ws
    2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2021,
  • [28] Risk-Resistant Resource Allocation for eMBB and URLLC Coexistence Under M/G/1 Queueing Model
    Shi, Bing
    Zheng, Fu-Chun
    She, Changyang
    Luo, Jingjing
    Burr, Alister G.
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (06) : 6279 - 6290
  • [29] Opportunistic Spatial Preemptive Scheduling for URLLC and eMBB Coexistence in Multi-User 5G Networks
    Esswie, Ali A.
    Pedersen, Klaus I.
    IEEE ACCESS, 2018, 6 : 38451 - 38463
  • [30] Traffic Steering for eMBB and uRLLC Coexistence in Open Radio Access Networks
    Kavehmadavani, Fatemeh
    Van-Dinh Nguyen
    Vu, Thang X.
    Chatzinotas, Symeon
    2022 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2022, : 242 - 247