Performance Evaluation for Coexistence of LTE and WiFi

被引:0
|
作者
Zhou, Zhiyi [1 ]
Teng, Fei [1 ]
Liu, Jialing [2 ]
Xiao, Weimin [2 ]
机构
[1] Northwestern Univ, Dept Elect Engn & Comp Sci, Evanston, IL 60201 USA
[2] Huawei Technol, Rolling Meadows, IL 60008 USA
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
As the traffic load in cellular networks grows exponentially, the capacity crunch is becoming more and more severe, partially due to the fact that the licensed spectrum is rather limited and dwarfed by the ever-increasing traffic demand. To alleviate this issue, the unlicensed spectrum has attracted significant attention as a piece of valuable resource for offloading and for best effort traffic. Therefore, operating cellular technologies with high spectral efficiency, mainly the Long Term Evolution (LTE), in the unlicensed band, is deemed promising. However, the coexistence of different wireless technologies such as LTE and WiFi deployed in the same frequency band is a challenging problem. In this paper, we study the coexistence between LTE and WiFi. Three schemes for coexistence are proposed, evaluated, and compared, based on which the impacts of the coexistence on WiFi performance and LTE performance are analyzed. This study can be useful for the standardization and deployment of LTE on the unlicensed band.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Performance Evaluation of User Centric Multihoming Strategies in LTE/WiFi Networks
    Dandachi, Ghina
    Elayoubi, Salah Eddine
    Chahed, Tijani
    Taher, Nada Chendeb
    2016 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, 2016,
  • [32] Multi-Games for LTE and WiFi Coexistence over Unlicensed Channels
    Hamidouche, Kenza
    Saad, Walid
    Debbah, Merouane
    NETWORK GAMES, CONTROL, AND OPTIMIZATION, 2017, : 123 - 133
  • [33] Coexistence of WiFi and LTE in Unlicensed Bands: A Proportional Fair Allocation Scheme
    Cano, Cristina
    Leith, Douglas J.
    2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION WORKSHOP (ICCW), 2015, : 2288 - 2293
  • [34] Deep Reinforcement Learning for the Coexistence of LAA-LTE and WiFi Systems
    Tan, Junjie
    Zhang, Lin
    Liang, Ying-Chang
    Niyato, Dusit
    ICC 2019 - 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2019,
  • [35] Deep Learning Aided Friendly Coexistence of WiFi and LTE in Unlicensed Bands
    Gu, Hao
    Wang, Yu
    Hong, Sheng
    Gui, Guan
    2019 11TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP), 2019,
  • [36] An Opportunistic Unlicensed Spectrum Utilization Method for LTE and WiFi Coexistence System
    Chen, Qimei
    Yu, Guanding
    Shan, Hangguan
    Maaref, Amine
    Li, Geoffrey Ye
    Huang, Aiping
    2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2015,
  • [37] Unlicensed LTE/WiFi Coexistence: Is LBT Inherently Fairer Than CSAT?
    Cano, Cristina
    Leith, Douglas T.
    2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2016,
  • [38] Bidirectional Mobile Offloading in LTE-U and WiFi Coexistence Systems
    Liu, Shengli
    Zhang, Jiaqi
    Chen, Qimei
    Yu, Guanding
    2018 IEEE 88TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), 2018,
  • [39] Coexistence Mechanism of LTE and WiFi Based on Reinforcement Learning in Heterogeneous Networks
    Lin Y.-W.
    Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2021, 50 (03): : 375 - 381
  • [40] Modeling the Coexistence of LTE and WiFi Heterogeneous Networks in Dense Deployment Scenarios
    Sagari, Shweta
    Seskar, Ivan
    Raychaudhuri, Dipankar
    2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION WORKSHOP (ICCW), 2015, : 2301 - 2306