A Cournot Game Approach in the Duty Cycle in CSAT Algorithm for WiFi/LTE-U Coexistence

With the rapid development of the information age, the licensed frequency bands used by mobile cellular communications have become more crowded, while unlicensed frequency bands still have more spectrum resources available. Therefore, mobile cellular communication operators hope to provide better services to users by shifting some services to unlicensed bands. The current mechanisms to realize the coexistence of WiFi and LTE mainly include License Assisted Access(LAA) technology based on listening before talk(LBT) and LTE-U system by using Carrier-Sensing Adaptive Transmission(CSAT) algorithm. In general, the CSAT algorithm adjusts the duty cycle by increasing or decreasing a fixed length of time of each cycle, which results in some cases that only one cycle cannot accurately set the duty cycle accurately, requiring multiple long enough periods to adjust the duty cycle, thus making the duty cycle setting more reasonable. In this paper, the duty cycle configuration of CSAT, is optimized by Cournot game model. At the same time, using this model, a dynamic algorithm for solving duty cycle based on Cournot game is proposed, which provides an idea for CSAT technology to configure duty cycle. Compared with the original CSAT technology to adjust the duty cycle, the algorithm can shorten the adjustment period, reduce the time delay of 1-4 transmission cycles, and can better adapt to the dynamic network scenarios.

[1]  H. Varian Intermediate Microeconomics: A Modern Approach , 1987 .

[2]  Marco Miozzo,et al.  Evaluating Unlicensed LTE Technologies: LAA vs LTE-U , 2019, IEEE Access.

[3]  Shiwen Mao,et al.  Harmonious Coexistence and Efficient Spectrum Sharing for LTE-U and Wi-Fi , 2017, 2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS).

[4]  Morteza Mehrnoush,et al.  Analysis of CSAT Performance in Wi-Fi and LTE-U Coexistence , 2018, 2018 IEEE International Conference on Communications Workshops (ICC Workshops).

[5]  Mathias Kretschmer,et al.  Quantifying the spectrum occupancy in an outdoor 5 GHz WiFi network with directional antennas , 2018, 2018 IEEE Wireless Communications and Networking Conference (WCNC).

[6]  Zhu Han,et al.  Full-Duplex MAC Protocol for Wi-Fi/LTE-U Coexistence Networks , 2018, 2018 IEEE International Conference on Communications Workshops (ICC Workshops).

[7]  Guanding Yu,et al.  Hybrid Adaptive Channel Access for LTE-U Systems , 2019, IEEE Transactions on Vehicular Technology.

[8]  Morteza Mehrnoush,et al.  Auto-Correlation Based Sensing of Multiple Wi-Fi BSSs for LTE-U CSAT , 2019, 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall).

[9]  J. Walsh Orthogonal Frequency Division Multiplexing , 2013 .

[10]  Cristina Cano,et al.  Using LTE in Unlicensed Bands: Potential Benefits and Coexistence Issues , 2016, IEEE Communications Magazine.

[11]  Naceur Malouch,et al.  Modeling and performance analysis of Wi-Fi networks coexisting with LTE-U , 2017, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.

[12]  Yan Huang,et al.  Achieving Fair LTE/Wi-Fi Coexistence with Real-Time Scheduling , 2020, IEEE Transactions on Cognitive Communications and Networking.