User Association With Mode Selection in LWA-Based Multi-RAT HetNet

被引:10
|
作者
Elmosilhy, Noha A. [1 ]
Elmesalawy, Mahmoud M. [2 ]
Abd Elhaleem, Ahmed M. [2 ]
机构
[1] Canadian Int Coll, Elect & Commun Engn Dept, Cairo 11865, Egypt
[2] Helwan Univ, Elect & Commun Engn Dept, Cairo 11792, Egypt
来源
IEEE ACCESS | 2019年 / 7卷
关键词
Long Term Evolution; Wireless fidelity; Rats; Computer architecture; Throughput; Games; Heterogeneous network; LTE-WLAN aggregation (LWA); multi-RAT; matching game; mode selection; user association;
D O I
10.1109/ACCESS.2019.2949035
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Restrained by the long term evolution (LTE) limited network capacity, WiFi technology is considered as one of the promising solutions to leverage the traffic load and enhance the LTE capacity. Exploiting both the licensed and unlicensed spectrum was the motivated key to standardize the LTE-wireless local area network (WLAN) aggregation (LWA) technology by 3GPP in Release 13. In this paper, we consider the user association problem in LWA-based Multiple Radio Access Technologies (Multi-RAT) Heterogeneous Networks (HetNet) in which three transmission modes are available (LTE, WiFi, and aggregation mode) and the user needs to select not only the wireless node that will associate with it, but also the used transmission mode. For this, a new user association algorithm that considers the joint node and mode selection is proposed in this paper. This association process is formulated as an optimization problem with the aim to maximize total network throughput. To solve this problem, a one-to-many matching game-based association algorithm is designed, where each user is matched to the best transmission mode/node according to well-developed utility function that considers the achieved data rate of each user as well as the proportional fairness among users. Simulation results have shown that our proposed algorithm outperforms comparable association techniques such as WLAN first, LTE first, and LTE-W in terms of system throughput, outage probability and fairness between users.
引用
收藏
页码:158623 / 158633
页数:11
相关论文
共 50 条
  • [41] A Neural Network Based Handover for Multi-RAT Heterogeneous Networks with Learning Agent
    Rihani, Mohamad-Al-Fadl
    Mroue, Mohamad
    Prevotet, Jean-Christophe
    Nouvel, Fabienne
    Mohanna, Yasser
    PROCEEDINGS OF THE 2018 13TH INTERNATIONAL SYMPOSIUM ON RECONFIGURABLE COMMUNICATION-CENTRIC SYSTEMS-ON-CHIP (RECOSOC), 2018,
  • [42] Outage-aware matching game approach for cell selection in LTE/WLAN multi-rat HetNets
    Abdulshakoor, Ahmed I.
    Anany, M.G.
    Elmesalawy, Mahmoud M.
    Computer Networks, 2020, 183
  • [43] User-assisted bearer split control for dual connectivity in multi-RAT 5G networks
    Roberto P. Antonioli
    Igor M. Guerreiro
    Diego Aguiar Sousa
    Emanuel Bezerra Rodrigues
    Carlos F. M. e Silva
    Tarcísio Ferreira Maciel
    Francisco Rodrigo Porto Cavalcanti
    Wireless Networks, 2020, 26 : 3675 - 3685
  • [44] Machine learning approach of multi-RAT selection for travelling users in 5G NSA networks
    Salau, Nurudeen O.
    Manzoor, Sanaullah
    Shakir, Muhammad Z.
    IET NETWORKS, 2024,
  • [45] User-assisted bearer split control for dual connectivity in multi-RAT 5G networks
    Antonioli, Roberto P.
    Guerreiro, Igor M.
    Sousa, Diego Aguiar
    Rodrigues, Emanuel Bezerra
    Silva, Carlos F. M. e
    Maciel, Tarcisio Ferreira
    Porto Cavalcanti, Francisco Rodrigo
    WIRELESS NETWORKS, 2020, 26 (05) : 3675 - 3685
  • [46] Patient-Driven Network Selection in multi-RAT Health Systems Using Deep Reinforcement Learning
    Dawoud, Heba D. M.
    Allahham, Mhd Saria
    Abdellatif, Alaa Awad
    Mohamed, Amr
    Erbad, Aiman
    Guizani, Mohsen
    2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2021,
  • [47] Energy-Efficient Resource Allocation for OFDMA-Based Multi-RAT Networks
    Lim, Gubong
    Xiong, Cong
    Cimini, Leonard J., Jr.
    Li, Geoffrey Ye
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2014, 13 (05) : 2696 - 2705
  • [48] Outage-aware Matching Game Approach for Cell Selection in LTE/WLAN Multi-RAT HetNets
    Abdulshakoor, Ahmed, I
    Anany, M. G.
    Elmesalawy, Mahmoud M.
    COMPUTER NETWORKS, 2020, 183
  • [49] DeepRAT: A DRL-Based Framework for Multi-RAT Assignment and Power Allocation in HetNets
    Alwarafy, Abdulmalik
    Ciftler, Bekir Sait
    Abdallah, Mohamed
    Hamdi, Mounir
    2021 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2021,
  • [50] LWA Network Access Point Selection Algorithm Based on Optimal Weighted Multi-Attribute Decision
    Shen B.
    Xu L.
    Zhou X.-Y.
    Yan W.
    Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2020, 49 (03): : 445 - 452