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
  • [11] New User Association Scheme Based on Multi-Objective Optimization for 5G Ultra-Dense Multi-RAT HetNets
    Amine, Mariame
    Walid, Abdellaziz
    Kobbane, Abdellatif
    Ben-Othman, Jalel
    2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2018,
  • [12] Modeling and Analysis of Latencies in Multi-User, Multi-RAT Edge Computing
    Balaji, Rushabha
    Mehta, Neelesh B.
    Singh, Chandramani
    PROCEEDINGS OF THE 19TH ACM INTERNATIONAL SYMPOSIUM ON QOS AND SECURITY FOR WIRELESS AND MOBILE NETWORKS, Q2SWINET 2023, 2023, : 79 - 86
  • [13] An Analysis of the Network Selection Problem for Heterogeneous Environments with User-Operator Joint Satisfaction and Multi-RAT Transmission
    Escudero-Garzas, J. J.
    Bousono-Calzon, C.
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2017,
  • [14] Two-sided matching framework for optimal user association in 5G multi-RAT UDNs
    Amine, Mariame
    Kobbane, Abdellatif
    Ben-Othman, Jalel
    Walid, Abdellaziz
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2020, 33 (08)
  • [15] Performance Enhancement via RAT Association Control in Multi-RAT Cellular Networks
    Chae, Seong Ho
    Hong, Jun-Pyo
    Choi, Wan
    2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2016,
  • [16] Performance Evaluation of Nash Bargaining Solution Based User Association in HetNet
    Liu, Dantong
    Chen, Yue
    Chai, Kok Keong
    Zhang, Tiankui
    2013 IEEE 9TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB), 2013, : 571 - 577
  • [17] A Context-Aware User-Driven Framework for Network Selection in 5G Multi-RAT Environments
    Bouali, F.
    Moessner, K.
    Fitch, M.
    2016 IEEE 84TH VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL), 2016,
  • [18] Multi-RAT Access based on Multi-Agent Reinforcement Learning
    Yan, Mu
    Feng, Gang
    Qin, Shuang
    GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE, 2017,
  • [19] Joint Technology and Route Selection in Multi-RAT Wireless Sensor Networks with RODENT
    Foubert, Brandon
    Mitton, Nathalie
    IWCMC 2021: 2021 17TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2021, : 652 - 657
  • [20] Context-Oriented Multi-RAT User Association and Resource Allocation with Triple Decision in 5G Heterogeneous Networks
    Jing Li
    Xing Zhang
    Shuo Wang
    Wenbo Wang
    中国通信, 2018, 15 (04) : 72 - 85