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Towards Harmonious Coexistence in the Unlicensed Spectrum: Rational Cooperation of Operators.
1Department of Electronic Engineering, Sogang University, Seoul 04107, Korea. usher731@sogang.ac.kr.
LTE-Advanced (LTE-A) in unlicensed spectrum can exploit WiFi networks through collusion without mandatory listen-before-talk (LBT). Implementing LBT nationwide is crucial for harmonious coexistence and efficient spectrum use in Industrial Internet of Things (IIoT) deployments.
Area of Science:
- Telecommunications Engineering
- Wireless Communication Systems
- Spectrum Management
Background:
- 5G New Radio (NR) in unlicensed spectrum supports the Fourth Industrial Revolution, particularly for Internet of Things (IoT) and Industrial IoT (IIoT).
- LTE-Advanced (LTE-A) aims for spectrum integration and coexistence with multi-radio access technology (multi-RAT) systems in unlicensed bands.
- The listen-before-talk (LBT) mechanism is essential for LTE operators to protect incumbent unlicensed systems.
Purpose of the Study:
- Investigate the behavior of multiple LTE operators and WiFi networks in unlicensed spectrum.
- Analyze short-term and long-term coexistence dynamics.
- Evaluate the impact of LBT on spectrum sharing and network performance.
Main Methods:
- Simulation and analysis of LTE operator behaviors in unlicensed spectrum.
- Modeling of WiFi network interactions with LTE systems.
- Comparative study of scenarios with and without mandatory LBT.
Main Results:
- Without mandatory LBT, LTE operators can collude to monopolize unlicensed spectrum by falsely indicating channel occupancy.
- This collusion negatively impacts other wireless networks, including WiFi.
- Mandatory LBT implementation is shown to be effective in preventing such exploitative behavior.
Conclusions:
- Mandatory nationwide implementation of LTE with LBT is highly recommended for harmonious coexistence in unlicensed spectrum.
- Addressing operator collusion is vital for efficient unlicensed spectrum utilization among multi-RAT systems.
- Proposed coexistence scenarios offer viable solutions for future multi-RAT deployments.
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