Analyzing the WiFi Access Probability in LTE-U/WiFi Coexistence Networks

Xu, Zhi-Jiang1,3; Wu, Zheng-Hua1; Chen, Fang-Ni2,3; Gong, Yi3

10.1109/GLOCOMW.2017.8269053

2017

2166-0069

978-1-5386-3921-4

2017 IEEE GLOBECOM WORKSHOPS (GC WKSHPS)

2018-January

1-5

4-8 Dec. 2017

Singapore, Singapore

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

Deploying the long-term evolution (LTE) system in unlicensed spectrum, which is also known as LTE-U, is an appealing technology for future cellular networks. However, the performance of legacy WiFi users will be degraded by the coexistence of LTE-U in the same unlicensed spectrum. In this paper, we investigate the WiFi access probability in a LTE-U and WiFi coexistence scenario where LTE-U users employ the listen-before-talk (LBT) protocols to access the channel. We derive the WiFi access probability expression as a function of the numbers of LTE-U and WiFi users. Numerical results show that the larger LTE-U CW size and offload users from LTE-U to WiFi, the better performance of WiFi access probability can be achieved. Our results provide a significant reference for admission control in LTE-U/WiFi coexistence networks.

Wireless fidelity Protocols Long Term Evolution Delays Convolution Admission control Degradation

通讯

英语

CPCI-S ; EI

Shenzhen Science and Technology Program[KQJSCX20160226193545]

Engineering ; Telecommunications

Engineering, Electrical & Electronic ; Telecommunications

WOS:000426984700022

20183005613536

Probability ; Wi-Fi ; Wireless local area networks (WLAN) ; Wireless telecommunication systems

Telecommunication; Radar, Radio and Television:716 ; Computer Software, Data Handling and Applications:723 ; Probability Theory:922.1

Web of Science

1.Zhejiang Univ Technol, Coll Informat Engn, Hangzhou, Zhejiang, Peoples R China
2.Zhejiang Univ Sci & Technol, Sch Informat & Elect Engn, Hangzhou, Zhejiang, Peoples R China
3.Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen, Peoples R China

Xu, Zhi-Jiang,Wu, Zheng-Hua,Chen, Fang-Ni,et al. Analyzing the WiFi Access Probability in LTE-U/WiFi Coexistence Networks[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2017:1-5.