Modeling and Analyzing the Coexistence of Wi-Fi and LTE in Unlicensed Spectrum
We leverage stochastic geometry to characterize key performance metrics for neighboring Wi-Fi and LTE networks in unlicensed spectrum. Our analysis focuses on a single unlicensed frequency band, where the locations for the Wi-Fi access points and LTE eNodeBs are modeled as two independent homogeneou...
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Published in | IEEE transactions on wireless communications Vol. 15; no. 9; pp. 6310 - 6326 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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New York
IEEE
01.09.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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Abstract | We leverage stochastic geometry to characterize key performance metrics for neighboring Wi-Fi and LTE networks in unlicensed spectrum. Our analysis focuses on a single unlicensed frequency band, where the locations for the Wi-Fi access points and LTE eNodeBs are modeled as two independent homogeneous Poisson point processes. Three LTE coexistence mechanisms are investigated: 1) LTE with continuous transmission and no protocol modifications; 2) LTE with discontinuous transmission; and 3) LTE with listen-before-talk and random back-off. For each scenario, we derive the medium access probability, the signal-to-interference-plus-noise ratio coverage probability, the density of successful transmissions (DST), and the rate coverage probability for both Wi-Fi and LTE. Compared with the baseline scenario where one Wi-Fi network coexists with an additional Wi-Fi network, our results show that Wi-Fi performance is severely degraded when LTE transmits continuously. However, LTE is able to improve the DST and rate coverage probability of Wi-Fi while maintaining acceptable data rate performance when it adopts one or more of the following coexistence features: a shorter transmission duty cycle, lower channel access priority, or more sensitive clear channel assessment thresholds. |
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AbstractList | We leverage stochastic geometry to characterize key performance metrics for neighboring Wi-Fi and LTE networks in unlicensed spectrum. Our analysis focuses on a single unlicensed frequency band, where the locations for the Wi-Fi access points and LTE eNodeBs are modeled as two independent homogeneous Poisson point processes. Three LTE coexistence mechanisms are investigated: 1) LTE with continuous transmission and no protocol modifications; 2) LTE with discontinuous transmission; and 3) LTE with listen-before-talk and random back-off. For each scenario, we derive the medium access probability, the signal-to-interference-plus-noise ratio coverage probability, the density of successful transmissions (DST), and the rate coverage probability for both Wi-Fi and LTE. Compared with the baseline scenario where one Wi-Fi network coexists with an additional Wi-Fi network, our results show that Wi-Fi performance is severely degraded when LTE transmits continuously. However, LTE is able to improve the DST and rate coverage probability of Wi-Fi while maintaining acceptable data rate performance when it adopts one or more of the following coexistence features: a shorter transmission duty cycle, lower channel access priority, or more sensitive clear channel assessment thresholds. |
Author | Zhang, Jianzhong Charlie Yingzhe Li Novlan, Thomas D. Andrews, Jeffrey G. Baccelli, Francois |
Author_xml | – sequence: 1 surname: Yingzhe Li fullname: Yingzhe Li email: yzli@utexas.edu organization: Wireless Networking & Commun. Group, Univ. of Texas at Austin, Austin, TX, USA – sequence: 2 givenname: Francois surname: Baccelli fullname: Baccelli, Francois email: francois.baccelli@austin.utexas.edu organization: Wireless Networking & Commun. Group, Univ. of Texas at Austin, Austin, TX, USA – sequence: 3 givenname: Jeffrey G. surname: Andrews fullname: Andrews, Jeffrey G. email: jandrews@ece.utexas.edu organization: Wireless Networking & Commun. Group, Univ. of Texas at Austin, Austin, TX, USA – sequence: 4 givenname: Thomas D. surname: Novlan fullname: Novlan, Thomas D. email: t.novlan@samsung.com organization: Samsung Res. America-Dallas, Richardson, TX, USA – sequence: 5 givenname: Jianzhong Charlie surname: Zhang fullname: Zhang, Jianzhong Charlie email: jianzhong.z@samsung.com organization: Samsung Res. America-Dallas, Richardson, TX, USA |
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Snippet | We leverage stochastic geometry to characterize key performance metrics for neighboring Wi-Fi and LTE networks in unlicensed spectrum. Our analysis focuses on... |
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SubjectTerms | Analytical models Geometry IEEE 802.11 Standard Interference licensed-assisted access LTE in unlicensed Protocols Signal to noise ratio stochastic geometry Stochastic processes Wi-Fi |
Title | Modeling and Analyzing the Coexistence of Wi-Fi and LTE in Unlicensed Spectrum |
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